Yanping Chen
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Advanced Graph Neural Networks
-
- Data Quality and Management
Papers in
-
- Topic Modeling 47
- Natural Language Processing Techniques 35
- Text and Document Classification Technologies 17
- Advanced Text Analysis Techniques 15
- Advanced Graph Neural Networks 6
- Domain Adaptation and Few-Shot Learning 5
- Co-authors
- Ruizhang Huang (41 shared papers)Yongbin Qin (35 shared papers)Qinghua Zheng (28 shared papers)Ping Chen (10 shared papers)Ying Hu (6 shared papers)Xin Jin (1 shared paper)Ping Chen (2 shared papers)Guowei Shen (1 shared paper)
- Journals
- IEEE Access (5 papers)Expert Systems with Applications (5 papers)Information Processing & Management (5 papers)Applied Intelligence (4 papers)IEEE Intelligent Systems (4 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yanping Chen
67 papers receiving 598 citations
Peers
Comparison fields: 5 of 76
- Artificial Intelligence 479
- Management Science and Operations Research 90
- Information Systems 81
- Computer Vision and Pattern Recognition 65
- Signal Processing 24
Countries citing papers authored by Yanping Chen
This map shows the geographic impact of Yanping 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 Yanping Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanping Chen more than expected).
Fields of papers citing papers by Yanping Chen
This network shows the impact of papers produced by Yanping 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 Yanping Chen. The network helps show where Yanping Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanping 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 50 | |
| 2 | 2021 | 33 | |
| 3 | 2021 | 29 | |
| 4 | 2023 | 29 | |
| 5 | 2020 | 26 | |
| 6 | 2021 | 22 | |
| 7 | 2015 | 19 | |
| 8 | 2019 | 19 | |
| 9 | 2022 | 19 | |
| 10 | 2011 | 18 | |
| 11 | 2010 | 18 | |
| 12 | 2014 | 16 | |
| 13 | 2015 | 15 | |
| 14 | 2022 | 15 | |
| 15 | 2022 | 14 | |
| 16 | 2022 | 13 | |
| 17 | 2021 | 13 | |
| 18 | 2022 | 12 | |
| 19 | 2023 | 12 | |
| 20 | 2023 | 11 |
About Yanping Chen
Yanping Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Management Science and Operations Research, Political Science and International Relations and Information Systems, having authored 70 papers that have together received 604 indexed citations. Recurring topics across this work include Topic Modeling (47 papers), Natural Language Processing Techniques (35 papers), Text and Document Classification Technologies (17 papers), Advanced Text Analysis Techniques (15 papers), Data Quality and Management (6 papers), Advanced Graph Neural Networks (6 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Artificial Intelligence in Law (4 papers). The work is most often cited by research in Artificial Intelligence (479 citations), Management Science and Operations Research (90 citations), Information Systems (81 citations), Computer Vision and Pattern Recognition (65 citations) and Signal Processing (24 citations). Yanping Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Ruizhang Huang, Yongbin Qin, Qinghua Zheng, Ping Chen, Ying Hu, Xin Jin, Ping Chen, Guowei Shen, Miao Yu and Bo Dong. Their work appears in journals such as IEEE Access, Expert Systems with Applications, Information Processing & Management, Applied Intelligence and IEEE Intelligent Systems.
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.