Jingqiang Chen
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Molecular Biology
- Statistics, Probability and Uncertainty top 10%
- Mechanical Engineering
- Co-authors
- Hai ZhugeXiaorui JiangXinghao ZhuYunguang ZhouGuoqiang YinHongyang LiKejia ChenXiukai Yuan
- Topics
- Topic Modeling (12 papers)Advanced Text Analysis Techniques (8 papers)Natural Language Processing Techniques (6 papers)
- Cited by
- Artificial IntelligenceStatistics, Probability and UncertaintyComputer Vision and Pattern Recognition
- Journals
- The Science of The Total EnvironmentPalaeogeography Palaeoclimatology PalaeoecologyReliability Engineering & System Safety
- Partner nations
- ChinaUnited KingdomGermany
In The Last Decade
Jingqiang Chen
25 papers receiving 264 citations
Peers
Comparison fields: 5 of 56
- Artificial Intelligence 184
- Computer Vision and Pattern Recognition 68
- Molecular Biology 26
- Statistics, Probability and Uncertainty 25
- Mechanical Engineering 16
Countries citing papers authored by Jingqiang Chen
This map shows the geographic impact of Jingqiang 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 Jingqiang Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingqiang Chen more than expected).
Fields of papers citing papers by Jingqiang Chen
This network shows the impact of papers produced by Jingqiang 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 Jingqiang Chen. The network helps show where Jingqiang Chen may publish in the future.
Co-authorship network of co-authors of Jingqiang Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Jingqiang Chen. A scholar is included among the top collaborators of Jingqiang Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jingqiang Chen. Jingqiang Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 19 | |
| 10 | 1 | |
| 11 | 7 | |
| 12 | 18 | |
| 13 | 7 | |
| 14 | 28 | |
| 15 | 9 | |
| 16 | 64 | |
| 17 | 2 | |
| 18 | 26 | |
| 19 | 0 | |
| 20 | 1 |
About Jingqiang Chen
Jingqiang Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Pollution, having authored 26 papers that have together received 274 indexed citations. Recurring topics across this work include Topic Modeling (12 papers), Advanced Text Analysis Techniques (8 papers) and Natural Language Processing Techniques (6 papers). The work is most often cited by research in Artificial Intelligence (184 citations), Statistics, Probability and Uncertainty (25 citations) and Computer Vision and Pattern Recognition (68 citations). Jingqiang Chen has collaborated with scholars based in China, United Kingdom and Germany. Frequent co-authors include Hai Zhuge, Xiaorui Jiang, Xinghao Zhu, Yunguang Zhou, Guoqiang Yin, Hongyang Li, Kejia Chen, Xiukai Yuan, Michael Beer and Matthias G.R. Faes. Their work appears in journals such as The Science of The Total Environment, Palaeogeography Palaeoclimatology Palaeoecology and Reliability Engineering & System Safety.
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.