Ping Chen
- Artificial Intelligence top 1%
- Topic Modeling 29
- Natural Language Processing Techniques 27
- Advanced Software Engineering Methodologies 11
- Advanced Computational Techniques and Applications 11
- Text and Document Classification Technologies 11
- Advanced Text Analysis Techniques 9
- Information Systems top 2%
- Service-Oriented Architecture and Web Services 12
- Software top 5%
- Signal Processing top 5%
- Advanced Malware Detection Techniques 10
- Journals
- IEEE Intelligent Systems (6 papers)IEEE Access (4 papers)Knowledge-Based Systems (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ping Chen
150 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 174
- Artificial Intelligence 841
- Information Systems 359
- Software 59
- Signal Processing 152
- Industrial and Manufacturing Engineering 131
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 6 | |
| 6 | 2022 | 6 | |
| 7 | 2022 | 1 | |
| 8 | 2022 | 49 | |
| 9 | 2021 | 23 | |
| 10 | 2020 | 1 | |
| 11 | 2019 | 41 | |
| 12 | 2019 | 40 | |
| 13 | 2018 | 24 | |
| 14 | Task Condition and Pupillometry | 2017 | 3 |
| 15 | 2016 | 26 | |
| 16 | Parsing tree matching based question answering | 2008 | 1 |
| 17 | A Plug-in Based Solution of Heterologous Data Integration | 2006 | 0 |
| 18 | Intelligence Measuring Instrument for Grain Moisture Content | 2006 | 2 |
| 19 | ICSL: A scripting language used for intelligent control on simulation entity | 2005 | 1 |
| 20 | The Grammaticalization of "Transferred Negation" in English | 2005 | 1 |
About Ping Chen
Ping Chen is a scholar working on Artificial Intelligence, Information Systems and Signal Processing, having authored 165 papers that have together received 1.9k indexed citations. Recurring topics across this work include Topic Modeling (29 papers), Natural Language Processing Techniques (27 papers), Service-Oriented Architecture and Web Services (12 papers), Advanced Software Engineering Methodologies (11 papers), Advanced Computational Techniques and Applications (11 papers), Text and Document Classification Technologies (11 papers), Advanced Malware Detection Techniques (10 papers) and Advanced Text Analysis Techniques (9 papers). The work is most often cited by research in Artificial Intelligence (841 citations), Information Systems (359 citations) and Software (59 citations). Ping Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Daniel Barbará, Wei Ding, Xingye Dong, Houkuan Huang, Wei Li, Qinghua Zheng, Xiaohui Cui, Yanping Chen, Jipeng Qiang and Liang Bao. Their work appears in journals such as IEEE Intelligent Systems, IEEE Access, Knowledge-Based Systems, Cognitive Computation and IEEE Transactions on Cybernetics.
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.