Lei Lei
Impact in
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- Multi-Criteria Decision Making
- Artificial Intelligence top 2%
- Target Tracking and Data Fusion in Sensor Networks
- Bayesian Modeling and Causal Inference
- Fuzzy Logic and Control Systems
- Anomaly Detection Techniques and Applications
Papers in
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- Machine Learning and ELM 7
- Anomaly Detection Techniques and Applications 7
- Fuzzy Logic and Control Systems 6
- Target Tracking and Data Fusion in Sensor Networks 5
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- Face and Expression Recognition 9
- Co-authors
- Yafei Song (37 shared papers)Xiaodan Wang (32 shared papers)Xiaodan Wang (7 shared papers)Rui Li (14 shared papers)Jingwei Zhu (2 shared papers)Qian Xiang (9 shared papers)Qiang Fu (2 shared papers)Quan Wen (4 shared papers)
- Journals
- IEEE Access (6 papers)Applied Intelligence (4 papers)Neurocomputing (3 papers)Pattern Analysis and Applications (3 papers)Expert Systems with Applications (3 papers)
- Partner nations
- ChinaUnited KingdomCanada
In The Last Decade
Lei Lei
84 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 103
- Management Science and Operations Research 434
- Artificial Intelligence 565
- Statistics and Probability 144
- Computational Theory and Mathematics 217
- Computer Vision and Pattern Recognition 208
Countries citing papers authored by Lei Lei
This map shows the geographic impact of Lei Lei'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 Lei Lei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Lei more than expected).
Fields of papers citing papers by Lei Lei
This network shows the impact of papers produced by Lei Lei. 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 Lei Lei. The network helps show where Lei Lei may publish in the future.
Co-authors
The 25 scholars most cited alongside Lei Lei, 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 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 111 | |
| 2 | 2014 | 82 | |
| 3 | 2015 | 60 | |
| 4 | 2022 | 58 | |
| 5 | 2019 | 55 | |
| 6 | 2018 | 46 | |
| 7 | 2014 | 43 | |
| 8 | 2018 | 42 | |
| 9 | 2014 | 36 | |
| 10 | 2020 | 35 | |
| 11 | 2021 | 33 | |
| 12 | 2016 | 33 | |
| 13 | 2020 | 32 | |
| 14 | 2020 | 32 | |
| 15 | 2018 | 29 | |
| 16 | 2013 | 26 | |
| 17 | 2019 | 25 | |
| 18 | 2023 | 24 | |
| 19 | 2023 | 22 | |
| 20 | 2016 | 22 |
About Lei Lei
Lei Lei is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Aerospace Engineering, Management Science and Operations Research and Electrical and Electronic Engineering, having authored 89 papers that have together received 1.3k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (14 papers), Face and Expression Recognition (9 papers), Fuzzy Systems and Optimization (9 papers), Advanced SAR Imaging Techniques (8 papers), Machine Learning and ELM (7 papers), Anomaly Detection Techniques and Applications (7 papers), Fuzzy Logic and Control Systems (6 papers) and Target Tracking and Data Fusion in Sensor Networks (5 papers). The work is most often cited by research in Management Science and Operations Research (434 citations), Artificial Intelligence (565 citations), Statistics and Probability (144 citations), Computational Theory and Mathematics (217 citations) and Computer Vision and Pattern Recognition (208 citations). Lei Lei has collaborated with scholars based in China, United Kingdom and Canada. Frequent co-authors include Yafei Song, Xiaodan Wang, Xiaodan Wang, Rui Li, Jingwei Zhu, Qian Xiang, Qiang Fu, Quan Wen, Changqiang Huang and Zhuoran Zhang. Their work appears in journals such as IEEE Access, Applied Intelligence, Neurocomputing, Pattern Analysis and Applications and Expert Systems with Applications.
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.