Jun Dai
Impact in
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- FinTech, Crowdfunding, Digital Finance
- Big Data and Business Intelligence
- Financial Reporting and XBRL
- Information Systems top 1%
- Blockchain Technology Applications and Security
Papers in
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- Blockchain Technology Applications and Security 11
- Cloud Computing and Resource Management 3
- Cloud Data Security Solutions 3
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- Big Data and Business Intelligence 10
- Co-authors
- Miklos A. Vasarhelyi (12 shared papers)Yu Gu (10 shared papers)Gary P. Schneider (1 shared paper)Robyn L. Raschke (1 shared paper)Diane J. Janvrin (1 shared paper)He Li (1 shared paper)Na He (1 shared paper)Xulong Chen (2 shared papers)
- Journals
- International Journal of Accounting Information Systems (4 papers)Journal of Emerging Technologies in Accounting (11 papers)Atmosphere (1 paper)Journal of Information Systems (1 paper)Accounting Horizons (1 paper)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Jun Dai
29 papers receiving 1.1k citations
Jun Dai's Hit Papers
Peers
Comparison fields: 5 of 81
- Management Information Systems 596
- Information Systems 608
- Accounting 245
- Information Systems and Management 130
- Management Science and Operations Research 163
Countries citing papers authored by Jun Dai
This map shows the geographic impact of Jun Dai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jun Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Dai more than expected).
Fields of papers citing papers by Jun Dai
This network shows the impact of papers produced by Jun Dai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jun Dai. The network helps show where Jun Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Dai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Toward Blockchain-Based Accounting and Assurance Hit paper breakdown → | 2017 | 510 |
| 2 | 2015 | 133 | |
| 3 | 2016 | 117 | |
| 4 | 2018 | 105 | |
| 5 | Ethical impact of artificial intelligence in managerial accounting Hit paper breakdown → | 2023 | 62 |
| 6 | 2019 | 52 | |
| 7 | 2016 | 23 | |
| 8 | 2023 | 20 | |
| 9 | 2022 | 19 | |
| 10 | 2021 | 18 | |
| 11 | 2021 | 18 | |
| 12 | 2017 | 15 | |
| 13 | 2022 | 14 | |
| 14 | 2023 | 13 | |
| 15 | 2024 | 11 | |
| 16 | 2021 | 11 | |
| 17 | 2022 | 10 | |
| 18 | 2022 | 10 | |
| 19 | 2020 | 9 | |
| 20 | 2023 | 8 |
About Jun Dai
Jun Dai is a scholar working on Information Systems, Management Information Systems, Artificial Intelligence, Economics and Econometrics and Strategy and Management, having authored 35 papers that have together received 1.2k indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (11 papers), Big Data and Business Intelligence (10 papers), Digital Transformation in Industry (3 papers), Sustainable Supply Chain Management (3 papers), Cloud Computing and Resource Management (3 papers), Advanced Computational Techniques and Applications (3 papers), Cloud Data Security Solutions (3 papers) and Atmospheric and Environmental Gas Dynamics (2 papers). The work is most often cited by research in Management Information Systems (596 citations), Information Systems (608 citations), Accounting (245 citations), Information Systems and Management (130 citations) and Management Science and Operations Research (163 citations). Jun Dai has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Miklos A. Vasarhelyi, Yu Gu, Gary P. Schneider, Robyn L. Raschke, Diane J. Janvrin, He Li, Na He, Xulong Chen, Chao Zhang and Qiao Li. Their work appears in journals such as International Journal of Accounting Information Systems, Journal of Emerging Technologies in Accounting, Atmosphere, Journal of Information Systems and Accounting Horizons.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.