Ping Chen
Impact in
- Artificial Intelligence top 1%
- Topic Modeling
- Natural Language Processing Techniques
- Security and Verification in Computing
- Advanced Text Analysis Techniques
- Advanced Software Engineering Methodologies
- Signal Processing top 2%
- Advanced Malware Detection Techniques
Papers in
-
- Topic Modeling 29
- Natural Language Processing Techniques 27
- Advanced Software Engineering Methodologies 14
- Text and Document Classification Technologies 12
- Security and Verification in Computing 11
- Advanced Text Analysis Techniques 11
-
- Service-Oriented Architecture and Web Services 16
- Co-authors
- Daniel Barbará (3 shared papers)Wei Ding (24 shared papers)Jipeng Qiang (5 shared papers)Tong Wang (6 shared papers)Bing Mao (5 shared papers)Houkuan Huang (1 shared paper)Xingye Dong (2 shared papers)Wei Li (8 shared papers)
- Journals
- IEEE Intelligent Systems (6 papers)IEEE Access (4 papers)Knowledge-Based Systems (3 papers)Cognitive Computation (2 papers)Neural Networks (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ping Chen
174 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 172
- Artificial Intelligence 1.3k
- Signal Processing 334
- Information Systems 490
- Software 78
- Industrial and Manufacturing Engineering 152
Countries citing papers authored by Ping Chen
This map shows the geographic impact of Ping 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 Ping Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Chen more than expected).
Fields of papers citing papers by Ping Chen
This network shows the impact of papers produced by Ping 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 Ping Chen. The network helps show where Ping Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping 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 188 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 130 | |
| 2 | 2009 | 107 | |
| 3 | 2022 | 99 | |
| 4 | 2000 | 96 | |
| 5 | 2020 | 87 | |
| 6 | 2017 | 74 | |
| 7 | 2014 | 68 | |
| 8 | 2020 | 65 | |
| 9 | 2011 | 59 | |
| 10 | 2022 | 59 | |
| 11 | 2019 | 52 | |
| 12 | 2022 | 52 | |
| 13 | 2016 | 48 | |
| 14 | 2005 | 46 | |
| 15 | 2019 | 46 | |
| 16 | 2014 | 42 | |
| 17 | 2019 | 40 | |
| 18 | 2020 | 39 | |
| 19 | 2006 | 38 | |
| 20 | 2003 | 35 |
About Ping Chen
Ping Chen is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 188 papers that have together received 2.6k indexed citations. Recurring topics across this work include Topic Modeling (29 papers), Natural Language Processing Techniques (27 papers), Service-Oriented Architecture and Web Services (16 papers), Advanced Software Engineering Methodologies (14 papers), Advanced Malware Detection Techniques (13 papers), Text and Document Classification Technologies (12 papers), Security and Verification in Computing (11 papers) and Advanced Text Analysis Techniques (11 papers). The work is most often cited by research in Artificial Intelligence (1.3k citations), Signal Processing (334 citations), Information Systems (490 citations), Software (78 citations) and Industrial and Manufacturing Engineering (152 citations). Ping Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Daniel Barbará, Wei Ding, Jipeng Qiang, Tong Wang, Bing Mao, Houkuan Huang, Xingye Dong, Wei Li, Xie Li and Xindong Wu. Their work appears in journals such as IEEE Intelligent Systems, IEEE Access, Knowledge-Based Systems, Cognitive Computation and Neural 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.