Qiujun Lan
Impact in
- Information Systems top 5%
- Blockchain Technology Applications and Security
- Finance top 10%
- Financial Markets and Investment Strategies
Papers in
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- Privacy-Preserving Technologies in Data 8
- Cryptography and Data Security 5
- Imbalanced Data Classification Techniques 3
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- Blockchain Technology Applications and Security 8
- Co-authors
- Chaoqun Ma (11 shared papers)Gang Li (8 shared papers)Haojie Ma (2 shared papers)Zhifeng Liu (1 shared paper)Dan Zhang (1 shared paper)Rob Law (1 shared paper)Huy Quan Vu (1 shared paper)Xin Ma (1 shared paper)
In The Last Decade
Qiujun Lan
32 papers receiving 291 citations
Peers
Comparison fields: 5 of 72
- Information Systems 110
- Finance 49
- Accounting 44
- Management Science and Operations Research 44
- Management Information Systems 30
Countries citing papers authored by Qiujun Lan
This map shows the geographic impact of Qiujun Lan'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 Qiujun Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qiujun Lan more than expected).
Fields of papers citing papers by Qiujun Lan
This network shows the impact of papers produced by Qiujun Lan. 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 Qiujun Lan. The network helps show where Qiujun Lan may publish in the future.
Co-authors
The 25 scholars most cited alongside Qiujun Lan, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 64 | |
| 2 | 2019 | 35 | |
| 3 | 2018 | 26 | |
| 4 | 2021 | 21 | |
| 5 | 2018 | 19 | |
| 6 | 2011 | 19 | |
| 7 | 2014 | 17 | |
| 8 | 2014 | 13 | |
| 9 | 2007 | 12 | |
| 10 | 2023 | 8 | |
| 11 | 2016 | 8 | |
| 12 | 2022 | 7 | |
| 13 | 2017 | 7 | |
| 14 | 2023 | 5 | |
| 15 | 2021 | 5 | |
| 16 | 2022 | 5 | |
| 17 | 2008 | 5 | |
| 18 | 2018 | 5 | |
| 19 | Extraction of News Content for Text Mining Based on Edit Distance | 2010 | 5 |
| 20 | 2024 | 3 |
About Qiujun Lan
Qiujun Lan is a scholar working on Artificial Intelligence, Information Systems, Finance, Economics and Econometrics and Management Science and Operations Research, having authored 37 papers that have together received 312 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (8 papers), Privacy-Preserving Technologies in Data (8 papers), Stock Market Forecasting Methods (7 papers), Financial Markets and Investment Strategies (5 papers), Cryptography and Data Security (5 papers), Complex Systems and Time Series Analysis (5 papers), Imbalanced Data Classification Techniques (3 papers) and Stochastic processes and financial applications (3 papers). The work is most often cited by research in Information Systems (110 citations), Finance (49 citations), Accounting (44 citations), Management Science and Operations Research (44 citations) and Management Information Systems (30 citations). Qiujun Lan has collaborated with scholars based in China, Australia and Macao. Frequent co-authors include Chaoqun Ma, Gang Li, Haojie Ma, Zhifeng Liu, Dan Zhang, Rob Law, Huy Quan Vu, Xin Ma, Chuangxia Huang and Guojun Gan. Their work appears in journals such as Expert Systems with Applications, ACM Computing Surveys, Journal of Hospitality Marketing & Management, Enterprise Information Systems and Economic Analysis and Policy.
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.