Le Chen
Impact in
- Artificial Intelligence top 5%
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
- Internet Traffic Analysis and Secure E-voting
- Information Systems top 5%
- Blockchain Technology Applications and Security
- Cloud Data Security Solutions
Papers in
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- Privacy-Preserving Technologies in Data 5
- Cryptography and Data Security 4
- Advanced Text Analysis Techniques 4
- Text and Document Classification Technologies 4
- Topic Modeling 3
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- Web Data Mining and Analysis 4
- Co-authors
- Rongxing Lu (8 shared papers)Zhenfu Cao (3 shared papers)Ximeng Liu (1 shared paper)Jianfeng Ma (1 shared paper)Baodong Qin (1 shared paper)Xiaodong Lin (3 shared papers)Xiaohui Liang (3 shared papers)Xuemin Shen (3 shared papers)
In The Last Decade
Le Chen
38 papers receiving 693 citations
Peers
Comparison fields: 5 of 84
- Artificial Intelligence 487
- Information Systems 235
- Health Information Management 30
- Computer Networks and Communications 165
- Control and Systems Engineering 129
Countries citing papers authored by Le Chen
This map shows the geographic impact of Le Chen'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 Le Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Le Chen more than expected).
Fields of papers citing papers by Le Chen
This network shows the impact of papers produced by Le Chen. 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 Le Chen. The network helps show where Le Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Le Chen, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 199 | |
| 2 | 2014 | 129 | |
| 3 | 2015 | 95 | |
| 4 | 2014 | 90 | |
| 5 | 2011 | 67 | |
| 6 | 2012 | 31 | |
| 7 | 2011 | 11 | |
| 8 | 2017 | 8 | |
| 9 | Dynamical Dirichlet Mixture Model | 2007 | 8 |
| 10 | 2005 | 7 | |
| 11 | 2023 | 7 | |
| 12 | 2023 | 6 | |
| 13 | 2013 | 4 | |
| 14 | 2010 | 4 | |
| 15 | 2014 | 4 | |
| 16 | 2020 | 3 | |
| 17 | 2019 | 3 | |
| 18 | 2009 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 2011 | 3 |
About Le Chen
Le Chen is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 39 papers that have together received 709 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (5 papers), Cryptography and Data Security (4 papers), Web Data Mining and Analysis (4 papers), Advanced Text Analysis Techniques (4 papers), Text and Document Classification Technologies (4 papers), Face and Expression Recognition (3 papers), Topic Modeling (3 papers) and Rough Sets and Fuzzy Logic (3 papers). The work is most often cited by research in Artificial Intelligence (487 citations), Information Systems (235 citations), Health Information Management (30 citations), Computer Networks and Communications (165 citations) and Control and Systems Engineering (129 citations). Le Chen has collaborated with scholars based in China, Canada and Singapore. Frequent co-authors include Rongxing Lu, Zhenfu Cao, Ximeng Liu, Jianfeng Ma, Baodong Qin, Xiaodong Lin, Xiaohui Liang, Xuemin Shen, Hui Li and Cheng Huang. Their work appears in journals such as IEEE Access, Data Intelligence, Frontiers in Plant Science, IEEE Communications Letters and Journal of Communications and Networks.
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.