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研究生: 陳古廉
Dion Valentino Tanuwijaya
論文名稱: 建構區塊鏈知識軌跡: 來自科學和技術的觀點
Mapping Blockchain Knowledge Trajectory: From the Viewpoints of Science and Technology
指導教授: 何秀青
Hsiu-Ching Ho
口試委員: 劉顯仲
Xian-Zhong Liu
王孔政
Kung-Jeng Wang
學位類別: 碩士
Master
系所名稱: 管理學院 - 科技管理研究所
Graduate Institute of Technology Management
論文出版年: 2022
畢業學年度: 110
語文別: 英文
論文頁數: 105
外文關鍵詞: blockchain, cryptocurrency, main path analysis, patent analysis, scientific linkage
相關次數: 點閱:198下載:5
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  • Blockchain technology is broadly accepted as one of the greatest discoveries of all time, comparable to the internet. The World Economic Forum reported that in 2016, the financial technology blockchain headed the list of top ten emerging technologies, drawing over $1 billion in investment, and projected that 10% of global economic output will be carried on blockchains or blockchain-related technologies. Bitcoin's blockchain technology was first introduced in 2008, though some of the knowledge and technology used in this blockchain have existed long before the whitepaper was published.
    This study focuses on examining blockchain technology by using quantitative approaches to explore publications from Web of Science (WoS) database. The sample comprises of 3,926 papers, and a total of 5,012 patents from Derwent Innovation database. The retrieved data is further examined and curated using main path analysis to interpret the influential knowledge and technology existing in the topic, in which, to obtain the knowledge development and trajectory. Moreover, after the major themes inside each study obtained through clustering analysis, a qualitative approach is conducted to assess the knowledge development, evolution, as well as the relation between databases.
    Based on the findings, scientific research primarily emphasizes the practical use and implementation of blockchain, which ranges from bitcoin to the internet of things, supply chain management, and healthcare and medical in its major themes. In technology perspectives, the majority of patents focus on its core technologies in addition to enhancing the blockchain technology itself, consisted of cryptography and decentralized system of blockchain in both software and hardware. As a result, the results reflect some exchange of information, time differences, and scientific linkages. Regardless of their differences, they all contribute significantly to the development of blockchain technology.

    ABSTRACT ii ACKNOWLEDGEMENT iii TABLE OF CONTENTS iv LIST OF FIGURES vi LIST OF TABLES vii 1. INTRODUCTION 1 1.1 Background and Purpose 1 1.2 Research Questions 3 1.3 Research Structure 3 2. LITERATURE REVIEW 4 2.1 The State of Art Blockchain 4 2.1.1 Blockchain Technology 4 2.1.2 Types of Blockchain 11 2.2 Science and Technology Relationship 13 2.3 Knowledge Network 14 3. DATA COLLECTION & METHODOLOGY 16 3.1 Flowchart of the Research 16 3.2 Data Collection 17 3.2.1 Scientific Perspective 17 3.2.2 Technological Perspective 18 3.3 Main Path Analysis 21 3.4 Clustering Analysis 24 3.5 Quantitative and Qualitative Keyword Analysis 26 4. BLOCKCHAIN SCIENTIFIC TRAJECTORY 27 4.1 Descriptive Statistics 27 4.1.1 Distribution of Countries 28 4.1.2 Top Sources 29 4.2 Overview of the research in scientific perspective 30 4.3 Main Themes in Scientific Perspectives 40 4.3.1 Internet of Things 41 4.3.2 Supply Chain Management 44 4.3.3 Bitcoin and Cryptocurrencies 46 4.3.4 Healthcare and Medical 49 5. BLOCKCHAIN TECHNOLOGICAL TRAJECTORY 51 5.1 Descriptive Statistics 51 5.1.1 Distribution of International Patent Classification 52 5.1.2 Distribution among Countries 54 5.1.3 Distribution among Company 55 5.2 Overview of the research in technological perspective 57 5.3 Main Themes in Technological Perspectives 68 5.3.1 Security and Privacy 69 5.3.2 Consensus Protocol 70 5.3.3 Decentralized Application 72 5.3.4 Digital Transaction 73 6. COMPARISON AND DISCUSSION 74 6.1 Connection of the Major Themes 74 6.2 Non-fungible Token 77 6.3 Time Distribution 78 7. CONCLUSION 80 7.1 Blockchain knowledge development in science and technology 80 7.2 Limitation and Future Work 81 REFERENCES 82 APPENDICES 90

    Ali, M. S., Vecchio, M., Pincheira, M., Dolui, K., Antonelli, F., & Rehmani, M. H. (2018). Applications of blockchains in the Internet of Things: A comprehensive survey. IEEE Communications Surveys Tutorial, 21(2), 1676-1717.
    Bader, L., Pennekamp, J., Matzutt, R., Hedderich, D., Kowalski, M., Lücken, V., & Wehrle, K. (2021). Blockchain-based privacy preservation for supply chains supporting lightweight multi-hop information accountability. Information Processing Management, 58(3), 102529.
    Bae, H. S. (2021). The Interaction Effect of Information Systems of Shipping and Logistics Firms and Managers’ Support for Blockchain Technology on Cooperation with Shippers for Sustainable Value Creation. Sustainability, 13(8), 4493.
    Balcilar, M., Bouri, E., Gupta, R., & Roubaud, D. (2017). Can volume predict Bitcoin returns and volatility? A quantiles-based approach. Economic Modelling, 64, 74-81.
    Bariviera, A. F. (2017). The inefficiency of Bitcoin revisited: A dynamic approach. Economics Letters, 161, 1-4.
    Batagelj, V. (2003). Efficient algorithms for citation network analysis.
    Będowska-Sójka, B., & Kliber, A. (2021). Is there one safe-haven for various turbulences? The evidence from gold, Bitcoin and Ether. The North American Journal of Economics Finance, 56, 101390.
    Behnke, K., & Janssen, M. (2020). Boundary conditions for traceability in food supply chains using blockchain technology. International Journal of Information Management, 52, 101969.
    Berdik, D., Otoum, S., Schmidt, N., Porter, D., & Jararweh, Y. (2021). A survey on blockchain for information systems management and security. 58(1), 102397.
    Bhardwaj, S., & Kaushik, M. (2018). Blockchain—technology to drive the future. In Smart Computing and Informatics (pp. 263-271). Springer.
    Bhatt, P. C., Kumar, V., Lu, T.-C., Cho, R. L.-T., & Lai, K. K. (2020). Rise and Rise of Blockchain: A Patent Statistics Approach to Identify the Underlying Technologies. Asian Conference on Intelligent Information and Database Systems,
    Bouri, E., Azzi, G., & Dyhrberg, A. H. (2017). On the return-volatility relationship in the Bitcoin market around the price crash of 2013. Economics Letters, 11(1).
    Chen, Q., Srivastava, G., Parizi, R. M., Aloqaily, M., & Al Ridhawi, I. (2020). An incentive-aware blockchain-based solution for internet of fake media things. Information Processing Management, 57(6), 102370.
    Chen, R.-Y. (2018). A traceability chain algorithm for artificial neural networks using T–S fuzzy cognitive maps in blockchain. Future Generation Computer Systems, 80, 198-210.
    Chen, T. J., Lau, C. K. M., Cheema, S., & Koo, C. K. (2021). Economic Policy Uncertainty in China and Bitcoin Returns: Evidence From the COVID-19 Period. Frontiers in Public Health, 9, 140.
    Cho, R. L., Liu, J. S., & Ho, M. H.-C. (2019). Autonomous Vehicle Technology Development: A Patent Survey Based on Main Path Analysis. 2019 Portland International Conference on Management of Engineering and Technology (PICMET),
    Cohen, W. M., Nelson, R., & Walsh, J. P. (2000). Protecting their intellectual assets: Appropriability conditions and why US manufacturing firms patent (or not). In: National Bureau of Economic Research Cambridge, Mass., USA.
    Conlon, T., & McGee, R. (2020). Safe haven or risky hazard? Bitcoin during the COVID-19 bear market. Finance Research Letters, 35, 101607.
    Corbet, S., Lucey, B., & Yarovaya, L. (2018). Datestamping the Bitcoin and Ethereum bubbles. Finance Research Letters, 26, 81-88.
    Danzi, P., Kalør, A. E., Stefanović, Č., & Popovski, P. (2019). Delay and communication tradeoffs for blockchain systems with lightweight IoT clients. IEEE Internet of Things Journal, 6(2), 2354-2365.
    Demir, E., Gozgor, G., Lau, C. K. M., & Vigne, S. A. (2018). Does economic policy uncertainty predict the Bitcoin returns? An empirical investigation. Finance Research Letters, 26, 145-149.
    Despalatovic, L., Vojkovic, T., & Vukicevic, D. (2014). Community structure in networks: Improving the Girvan-Newman algorithm.
    DiNizo Jr, A. M. (2018). From Alice to Bob: The Patent Eligibility of Blockchain in a post CLS Bank World. Journal of Law, Technology, & The Internet, 9, 1.
    Drobyazko, S., Makedon, V., Zhuravlov, D., Buglak, Y., & Stetsenko, V. (2019). Ethical, technological and patent aspects of technology blockchain distribution. Journal of Legal, Ethical Regulatory Issues, 22, 1-6.
    Duan, R., & Guo, L. (2021). Application of Blockchain for Internet of Things: A Bibliometric Analysis. Mathematical Problems in Engineering, 2021.
    Ejaz, M., Kumar, T., Kovacevic, I., Ylianttila, M., & Harjula, E. (2021). Health-BlockEdge: Blockchain-Edge Framework for Reliable Low-Latency Digital Healthcare Applications. Sensors, 21(7), 2502.
    Ekanayake, O. A., & Halgamuge, M. N. (2021). Lightweight Blockchain Framework using Enhanced Master-Slave Blockchain Paradigm: Fair Rewarding Mechanism using Reward Accuracy Model. Information Processing Management, 58(3), 102523.
    Elrom, E. (2019). The Blockchain Developer.
    Esposito, C., Ficco, M., & Gupta, B. B. (2021). Blockchain-based authentication and authorization for smart city applications. Information Processing Management, 58(2), 102468.
    Etemad, H., & Lee, Y. (2003). The knowledge network of international entrepreneurship: Theory and evidence. Small Business Economics, 20(1), 5-23.
    Fan, X., Liu, W., & Zhu, G. (2017). Scientific linkage and technological innovation capabilities: international comparisons of patenting in the solar energy industry. Scientometrics, 111(1), 117-138.
    Firdaus, A., Ab Razak, M. F., Feizollah, A., Hashem, I. A. T., Hazim, M., & Anuar, N. B. (2019). The rise of “blockchain”: bibliometric analysis of blockchain study. Scientometrics, 120(3), 1289-1331.
    Garcia, D., Tessone, C. J., Mavrodiev, P., & Perony, N. (2014). The digital traces of bubbles: feedback cycles between socio-economic signals in the Bitcoin economy. Journal of the Royal Society Interface, 11(99), 20140623.
    Garfield, E., Sher, I. H., & Torpie, R. J. (1964). The use of citation data in writing the history of science.
    Gervais, A., Karame, G. O., Capkun, V., & Capkun, S. (2014). Is bitcoin a decentralized currency? IEEE Xplore, 12(3), 54-60.
    Goodell, J. W., & Goutte, S. (2021). Co-movement of COVID-19 and Bitcoin: Evidence from wavelet coherence analysis. Finance Research Letters, 38, 101625.
    Hao, Y., Li, Y., Dong, X., Fang, L., & Chen, P. (2018). Performance analysis of consensus algorithm in private blockchain. 2018 IEEE Intelligent Vehicles Symposium (IV),
    Hölbl, M., Kompara, M., Kamišalić, A., & Nemec Zlatolas, L. (2018). A systematic review of the use of blockchain in healthcare. Symmetry, 10(10), 470.
    Hu, M. C., & Mathews, J. A. (2008). China's national innovative capacity. Research Policy, 37(9), 1465-1479.
    Hu, Y., Hou, Y. G., Oxley, L., & Corbet, S. (2021). Does blockchain patent-development influence Bitcoin risk? Journal of International Financial Markets, Institutions & Money, 70, 101263.
    Hu, Y., Li, X., & Shen, D. (2020). Attention allocation and international stock return comovement: evidence from the Bitcoin market. Research in International Business Finance, 54, 101286.
    Huang, L.-Y., Cai, J.-F., Lee, T.-C., & Weng, M.-H. (2020). A Study on the development trends of the energy system with blockchain technology using patent analysis. Sustainability, 12(5), 2005.
    Hughes, L., Dwivedi, Y. K., Misra, S. K., Rana, N. P., Raghavan, V., & Akella, V. (2019). Blockchain research, practice and policy: Applications, benefits, limitations, emerging research themes and research agenda. International Journal of Information Management, 49, 114-129.
    Hummon, N. P., & Dereian, P. (1989). Connectivity in a citation network: The development of DNA theory. Social Networks, 11(1), 39-63.
    Huynh, T. L. D., Wang, M., & Vo, V. X. (2021). Economic policy uncertainty and the Bitcoin market: An investigation in the COVID-19 pandemic with transfer entropy. The Singapore Economic Review, 1-27.
    Iansiti, M., & Lakhani, K. R. (2017). The Truth about Blockchain. Harvard Business Review.
    Irresberger, F., John, K., & Saleh, F. (2020). The public blockchain ecosystem: An empirical analysis. NYU Stern School of Business.
    Jing, N., Liu, Q., & Sugumaran, V. (2021). A blockchain-based code copyright management system. Information Processing Management, 58(3), 102518.
    Kalyvas, A., Papakyriakou, P., Sakkas, A., & Urquhart, A. (2020). What drives Bitcoin’s price crash risk? Economics Letters, 191, 108777.
    Kamble, S., Gunasekaran, A., & Arha, H. (2019). Understanding the Blockchain technology adoption in supply chains-Indian context. International Journal of Production Research, 57(7), 2009-2033.
    Kang, J., Yu, R., Huang, X., Wu, M., Maharjan, S., Xie, S., & Zhang, Y. (2018). Blockchain for secure and efficient data sharing in vehicular edge computing and networks. IEEE Internet of Things Journal, 6(3), 4660-4670.
    Karame, G. O., Androulaki, E., Roeschlin, M., Gervais, A., & Capkun, S. (2015). Misbehavior in bitcoin: A study of double-spending and accountability. Transactions on Information System Security, 18(1), 1-32.
    Katsiampa, P. (2017). Volatility estimation for Bitcoin: A comparison of GARCH models. Economics Letters, 158, 3-6.
    Khalid, U., Asim, M., Baker, T., Hung, P. C., Tariq, M. A., & Rafferty, L. (2020). A decentralized lightweight blockchain-based authentication mechanism for IoT systems. Cluster Computing, 1-21.
    Khezr, S., Moniruzzaman, M., Yassine, A., & Benlamri, R. (2019). Blockchain technology in healthcare: A comprehensive review and directions for future research. Applied Sciences, 9(9), 1736.
    Kim, S., Yoon, S., Raghavan, N., Le, N.-T., & Park, H. (2021). Developmental Trajectories in Blockchain Technology Using Patent-Based Knowledge Network Analysis. IEEE Access, 9, 44704-44717.
    Kondor, D., Pósfai, M., Csabai, I., & Vattay, G. (2014). Do the rich get richer? An empirical analysis of the Bitcoin transaction network. PloS one, 9(2), e86197.
    Kristoufek, L. (2013). BitCoin meets Google Trends and Wikipedia: Quantifying the relationship between phenomena of the Internet era. Scientific reports, 3(1), 1-7.
    Kristoufek, L. (2015). What are the main drivers of the Bitcoin price? Evidence from wavelet coherence analysis. PloS one, 10(4), e0123923.
    Kshetri, N. (2018). 1 Blockchain’s roles in meeting key supply chain management objectives. International Journal of Information Management, 39, 80-89.
    Kuo, T.-T., Gabriel, R. A., & Ohno-Machado, L. (2019). Fair compute loads enabled by blockchain: sharing models by alternating client and server roles. Journal of the American Medical Informatics Association, 26(5), 392-403.
    Kuo, T.-T., Kim, H.-E., & Ohno-Machado, L. (2017). Blockchain distributed ledger technologies for biomedical and health care applications. Journal of the American Medical Informatics Association, 24(6), 1211-1220.
    Kuo, T.-T., Zavaleta Rojas, H., & Ohno-Machado, L. (2019). Comparison of blockchain platforms: a systematic review and healthcare examples. Journal of the American Medical Informatics Association, 26(5), 462-478.
    Leal, F., Chis, A. E., & González–Vélez, H. (2021). Multi-service model for blockchain networks. Information Processing Management, 58(3), 102525.
    Li, Z., Kang, J., Yu, R., Ye, D., Deng, Q., & Zhang, Y. (2017). Consortium blockchain for secure energy trading in industrial internet of things. IEEE transactions on industrial informatics, 14(8), 3690-3700.
    Liu, C., Zhou, S., Vodenska, I., Chitkushev, L., Zhang, G., Gheitanchi, S., & Rawassizadeh, R. (2021). Blockchain Technology in Healthcare: A Scientific and Technological Driving Force. 34th International Symposium on Computer-Based Medical Systems (CBMS).
    Liu, J., Yan, L., & Wang, D. (2021). A Hybrid Blockchain Model for Trusted Data of Supply Chain Finance. Wireless Personal Communications, 1-25.
    Liu, J. S., & Lu, L. Y. (2012). An integrated approach for main path analysis: Development of the Hirsch index as an example. Journal of the American Society for Information Science Technology, 63(3), 528-542.
    Liu, J. S., Lu, L. Y. Y., & Ho, M. H.-C. (2019). A few notes on main path analysis. Scientometrics, 119(1), 379-391.
    Liu, Z., & Li, Z. (2020). A blockchain-based framework of cross-border e-commerce supply chain. International Journal of Information Management, 52, 102059.
    Lo, S.-C. S. (2010). Scientific linkage of science research and technology development: A case of genetic engineering research. Scientometrics, 82(1), 109-120.
    Lu, L. Y., & Liu, J. S. (2016). A novel approach to identify the major research themes and development trajectory: The case of patenting research. Technological Forecasting Social Change, 103, 71-82.
    Nakamoto, S. (2008). Bitcoin: A Peer-to-Peer Electronic Cash System
    Newman, M. E., & Girvan, M. (2004). Finding and evaluating community structure in networks. Physical review E, 69(2), 026113.
    Niranjanamurthy, M., Nithya, B., & Jagannatha, S. (2019). Analysis of Blockchain technology: pros, cons and SWOT. Cluster Computing, 22(6), 14743-14757.
    Ostbye, P. (2018). The Case for a 21 Million Bitcoin Conspiracy. SSRN.
    Patel, V. (2019). A framework for secure and decentralized sharing of medical imaging data via blockchain consensus. Health informatics journal, 25(4), 1398-1411.
    Putz, B., Dietz, M., Empl, P., & Pernul, G. (2021). Ethertwin: Blockchain-based secure digital twin information management. Information Processing Management, 58(1), 102425.
    Queiroz, M. M., Fosso Wamba, S., De Bourmont, M., & Telles, R. (2021). Blockchain adoption in operations and supply chain management: empirical evidence from an emerging economy. International Journal of Production Research, 1-17.
    Queiroz, M. M., Telles, R., & Bonilla, S. H. (2019). Blockchain and supply chain management integration: a systematic review of the literature. Supply Chain Management: An International Journal.
    Queiroz, M. M., & Wamba, S. F. (2019). Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA. International Journal of Information Management, 46, 70-82.
    Rathee, G., Ahmad, F., Sandhu, R., Kerrache, C. A., & Azad, M. A. (2021). On the design and implementation of a secure blockchain-based hybrid framework for Industrial Internet-of-Things. Information Processing Management
    58(3), 102526.
    Reales, F. R. B. (2019). Analysis of innovation in Blockchain and its areas of application: a patent data study Politecnico di Torino].
    Rejeb, A., Keogh, J. G., Simske, S. J., Stafford, T., & Treiblmaier, H. (2021). Potentials of blockchain technologies for supply chain collaboration: a conceptual framework. The International Journal of Logistics Management.
    Samuel, R. E. (2016). A layered architectural approach to understanding distributed cryptographic ledgers. Issues in Information Systems, 17(4), 222-226.
    Schuetz, S., & Venkatesh, V. (2020). Blockchain, adoption, and financial inclusion in India: Research opportunities. International Journal of Information Management, 52, 101936.
    Su, F.-P., Chen, S.-J., Chang, Y.-H., & Lai, K.-K. (2019). Construct a three-stage analysis model of integrated main path analysis and patent family-exploring the development of blockchain. Proceedings of the 2019 3rd International Conference on Software and e-Business,
    Swan, M. (2015). Blockchain: Blueprint for a new economy. " O'Reilly Media, Inc.".
    Thorncharoensri, P., Susilo, W., & Mu, Y. (2017). Policy-controlled signatures and their applications. Computer Standards Interfaces, 50, 26-41.
    Toyoda, K., Mathiopoulos, P. T., Sasase, I., & Ohtsuki, T. (2017). A novel blockchain-based product ownership management system (POMS) for anti-counterfeits in the post supply chain. IEEE Access, 5, 17465-17477.
    Tschorsch, F., & Scheuermann, B. (2016). Bitcoin and beyond: A technical survey on decentralized digital currencies. IEEE Communications Surveys, 18(3), 2084-2123.
    Tseng, F.-M., Gil, E. I. N. P., & Lu, L. Y. (2021). Developmental trajectories of blockchain research and its major subfields. Technology in Society, 66, 101606.
    Urquhart, A. (2017). Price clustering in Bitcoin. Economics Letters, 159, 145-148.
    Verspagen, B. (2007). Mapping technological trajectories as patent citation networks: A study on the history of fuel cell research. Advances in complex systems, 10(01), 93-115.
    Vo, H. T., Kundu, A., & Mohania, M. K. (2018). Research Directions in Blockchain Data Management and Analytics. EDBT,
    Wamba, S. F., & Queiroz, M. M. (2020). Blockchain in the operations and supply chain management: Benefits, challenges and future research opportunities. In: Elsevier.
    Wang, G. J., Xie, C., Wen, D., & Zhao, L. (2019). When Bitcoin meets economic policy uncertainty (EPU): Measuring risk spillover effect from EPU to Bitcoin. Finance Research Letters, 31.
    Wang, Q., Li, R., Wang, Q., & Chen, S. (2021). Non-fungible token (NFT): Overview, evaluation, opportunities and challenges.
    Wu, S., Tong, M., Yang, Z., & Derbali, A. (2019). Does gold or Bitcoin hedge economic policy uncertainty? Finance Research Letters, 31, 171-178.
    Wunsch, N.-G. (2021). Largest Blockchain Patent Owners in the United States as of 2019. Retrieved 20 November from https://www.statista.com/statistics/1022077/blockchain-patent-owners-united-states-authority/
    Xiao, Y., Lu, L. Y., Liu, J. S., & Zhou, Z. (2014). Knowledge diffusion path analysis of data quality literature: A main path analysis. Journal of Informetrics, 8(3), 594-605.
    Xin, L., & Wang, C. A. (2017). The technology and economic determinants of cryptocurrency exchange rates: The case of Bitcoin. Decision support systems, 95, 49-60.
    Yaga, D., Mell, P., Roby, N., & Scarfone, K. (2018). Blockchain Technology Overview (NIST Interagency /Internal Report (NISTIR), Issue.
    Yalcin, H., & Daim, T. (2021). Mining research and invention activity for innovation trends: case of blockchain technology. Scientometrics, 126(5), 3775-3806.
    Yang, J., Onik, M. M. H., Lee, N.-Y., Ahmed, M., & Kim, C.-S. (2019). Proof-of-familiarity: a privacy-preserved blockchain scheme for collaborative medical decision-making. Applied Sciences, 9(7), 1370.
    Yaqoob, I., Salah, K., Jayaraman, R., & Al-Hammadi, Y. (2021). Blockchain for healthcare data management: Opportunities, challenges, and future recommendations. Neural Computing Applications, 1-16.
    Yermack, D. (2017). Corporate governance and blockchains. Review of finance, 21(1), 7-31.
    Yi, S., Xu, Z., & Wang, G.-J. (2018). Volatility connectedness in the cryptocurrency market: Is Bitcoin a dominant cryptocurrency? International Review of Financial Analysis, 60, 98-114.
    Ying, W. C., Jia, S. l., & Du, W. Y. (2018). Digital enablement of blockchain: Evidence from HNA group. International Journal of Information Management, 39, 1-4.
    Yli-Huumo, J., Ko, D., Choi, S., Park, S., & Smolander, K. (2016). Where is current research on blockchain technology?—a systematic review. PloS one, 11(10), e0163477.
    Yong, B., Shen, J., Liu, X., Li, F., Chen, H., & Zhou, Q. (2020). An intelligent blockchain-based system for safe vaccine supply and supervision. International Journal of Information Management, 52, 102024.
    Yoon, J., Blumer, A., & Lee, K. (2006). An algorithm for modularity analysis of directed and weighted biological networks based on edge-betweenness centrality. Bioinformatics, 22(24), 3106-3108.
    Yu, D., & Pan, T. (2021a). Identifying technological development trajectories in blockchain domain: a patent citation network analysis. Technology Analysis & Strategic Management, 1-14.
    Yu, D., & Pan, T. (2021b). Tracing the main path of interdisciplinary research considering citation preference: A case from blockchain domain. Journal of Informetrics, 15(2), 101136.
    Yu, D., & Sheng, L. (2020). Knowledge diffusion paths of blockchain domain: the main path analysis. Scientometrics, 125(1), 471-497.
    Yue, X., Wang, H., Jin, D., Li, M., & Jiang, W. (2016). Healthcare data gateways: found healthcare intelligence on blockchain with novel privacy risk control. Journal of medical systems, 40(10), 1-8.
    Zhang, G., Yang, Z., Xie, H., & Liu, W. (2021). A secure authorized deduplication scheme for cloud data based on blockchain. Information Processing Management, 58(3), 102510.
    Zhao, Q., Chen, S., Liu, Z., Baker, T., & Zhang, Y. (2020). Blockchain-based privacy-preserving remote data integrity checking scheme for IoT information systems. Information Processing Management, 57(6), 102355.
    Zheng, Z., Xie, S., Dai, H.-N., Chen, X., & Wang, H. (2018). Blockchain challenges and opportunities: A survey. International Journal of Web Grid Services, 14(4), 352-375.
    Zhi, L., Wang, W. M., Liu, G., Liu, L., He, J., & Huang, G. Q. (2018). Toward open manufacturing: A cross-enterprises knowledge and services exchange framework based on blockchain and edge computing. Industrial Management Data Systems.

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