LI Sen
Impact in
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- Digital Transformation in Industry
- Advanced Manufacturing and Logistics Optimization
Papers in
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- Organizational and Employee Performance 1
- Advanced Computational Techniques and Applications 1
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- Spam and Phishing Detection 1
- AI and Big Data Applications 1
- Blockchain Technology Applications and Security 1
- Co-authors
- Dingzhong Feng (1 shared paper)Mingzhou Jin (1 shared paper)Yangke Ding (1 shared paper)Ye Zhang (1 shared paper)Wei Jiang (1 shared paper)Panpan Liu (1 shared paper)Denghao Zhang (1 shared paper)Jian‐Hua Liang (1 shared paper)
- Journals
- Sustainability (1 paper)Frontiers in Earth Science (1 paper)International Journal of Logistics Research and Applications (1 paper)Journal of Agricultural and Food Chemistry (1 paper)Computer Communications (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
LI Sen
6 papers receiving 216 citations
Peers
Comparison fields: 5 of 59
- Industrial and Manufacturing Engineering 105
- Business and International Management 16
- Management Information Systems 44
- Strategy and Management 48
- Management of Technology and Innovation 17
Countries citing papers authored by LI Sen
This map shows the geographic impact of LI Sen'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 LI Sen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites LI Sen more than expected).
Fields of papers citing papers by LI Sen
This network shows the impact of papers produced by LI Sen. 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 LI Sen. The network helps show where LI Sen may publish in the future.
Co-authors
The 18 scholars most cited alongside LI Sen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 222 | |
| 2 | 2025 | 4 | |
| 3 | Damage to Basic Needs of Being Excluded Alone and Excluded with Others | 2016 | 2 |
| 4 | 2024 | 2 | |
| 5 | E-Government Information System Base on PaaS | 2010 | 1 |
| 6 | Hoodwinking spam email filters | 2007 | 1 |
| 7 | 2025 | 0 | |
| 8 | 2024 | 0 | |
| 9 | 2025 | 0 |
About LI Sen
LI Sen is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Electrical and Electronic Engineering and Molecular Biology, having authored 9 papers that have together received 232 indexed citations. Recurring topics across this work include Spam and Phishing Detection (1 paper), Supply Chain and Inventory Management (1 paper), AI and Big Data Applications (1 paper), Sustainable Supply Chain Management (1 paper), Advanced Technologies and Applied Computing (1 paper), Organizational and Employee Performance (1 paper), Blockchain Technology Applications and Security (1 paper) and Advanced Computational Techniques and Applications (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (105 citations), Business and International Management (16 citations), Management Information Systems (44 citations), Strategy and Management (48 citations) and Management of Technology and Innovation (17 citations). LI Sen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Dingzhong Feng, Mingzhou Jin, Yangke Ding, Ye Zhang, Wei Jiang, Panpan Liu, Denghao Zhang, Jian‐Hua Liang, Mingjia Yu and Xin Liu. Their work appears in journals such as Sustainability, Frontiers in Earth Science, International Journal of Logistics Research and Applications, Journal of Agricultural and Food Chemistry and Computer Communications.
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.