Kejia Chen
Impact in
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- Grey System Theory Applications
Papers in
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- Advanced Graph Neural Networks 12
- Domain Adaptation and Few-Shot Learning 5
- Text and Document Classification Technologies 4
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- Complex Network Analysis Techniques 12
- Opinion Dynamics and Social Influence 4
- Co-authors
- Steve Granick (3 shared papers)Bo Wang (2 shared papers)Hongbin Dai (1 shared paper)Jian Jin (4 shared papers)Zhi‐Hua Zhou (1 shared paper)Sifeng Liu (1 shared paper)Yaoguo Dang (1 shared paper)Yunyun Wang (3 shared papers)
- Journals
- Journal of Intelligent & Fuzzy Systems (3 papers)Neurocomputing (3 papers)Knowledge-Based Systems (2 papers)ACM Transactions on Information Systems (1 paper)Distributed and Parallel Databases (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Kejia Chen
62 papers receiving 900 citations
Peers
Comparison fields: 5 of 133
- Management Science and Operations Research 190
- Statistical and Nonlinear Physics 94
- Artificial Intelligence 239
- Modeling and Simulation 31
- Environmental Engineering 88
Countries citing papers authored by Kejia Chen
This map shows the geographic impact of Kejia 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 Kejia Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kejia Chen more than expected).
Fields of papers citing papers by Kejia Chen
This network shows the impact of papers produced by Kejia 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 Kejia Chen. The network helps show where Kejia Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Kejia 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 116 | |
| 2 | 2017 | 113 | |
| 3 | 2006 | 108 | |
| 4 | 2004 | 106 | |
| 5 | 2021 | 80 | |
| 6 | 2013 | 38 | |
| 7 | The GM Models That x(n) Be Taken as Initial Value | 2002 | 32 |
| 8 | 2015 | 31 | |
| 9 | 2021 | 20 | |
| 10 | 2004 | 18 | |
| 11 | 2021 | 16 | |
| 12 | 2018 | 16 | |
| 13 | 2013 | 14 | |
| 14 | 2019 | 14 | |
| 15 | 2022 | 13 | |
| 16 | 2014 | 12 | |
| 17 | 2008 | 12 | |
| 18 | 2020 | 11 | |
| 19 | 2008 | 11 | |
| 20 | 2012 | 10 |
About Kejia Chen
Kejia Chen is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition, Information Systems and Management Science and Operations Research, having authored 67 papers that have together received 928 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (12 papers), Advanced Graph Neural Networks (12 papers), Domain Adaptation and Few-Shot Learning (5 papers), Recommender Systems and Techniques (5 papers), Grey System Theory Applications (5 papers), Text and Document Classification Technologies (4 papers), Opinion Dynamics and Social Influence (4 papers) and Multimodal Machine Learning Applications (4 papers). The work is most often cited by research in Management Science and Operations Research (190 citations), Statistical and Nonlinear Physics (94 citations), Artificial Intelligence (239 citations), Modeling and Simulation (31 citations) and Environmental Engineering (88 citations). Kejia Chen has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Steve Granick, Bo Wang, Hongbin Dai, Jian Jin, Zhi‐Hua Zhou, Sifeng Liu, Yaoguo Dang, Yunyun Wang, Linfeng Liu and Yuanyuan Wang. Their work appears in journals such as Journal of Intelligent & Fuzzy Systems, Neurocomputing, Knowledge-Based Systems, ACM Transactions on Information Systems and Distributed and Parallel Databases.
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.