Yongjun Chen
Impact in
- Information Systems top 5%
- Recommender Systems and Techniques
- Expert finding and Q&A systems
- Artificial Intelligence top 5%
- Advanced Graph Neural Networks
- Topic Modeling
- Machine Learning in Healthcare
- Text and Document Classification Technologies
Papers in
-
- Advanced Neural Network Applications 2
- Medical Image Segmentation Techniques 1
- Generative Adversarial Networks and Image Synthesis 1
-
- Advanced Graph Neural Networks 2
- Topic Modeling 2
- Co-authors
- Caiming Xiong (2 shared papers)Jia Li (2 shared papers)Zhiwei Liu (1 shared paper)Julian McAuley (1 shared paper)Shuiwang Ji (4 shared papers)Hongyang Gao (2 shared papers)Xia Hu (1 shared paper)Lei Cai (2 shared papers)
- Journals
- Adult Education Quarterly (1 paper)Chinese Journal of Electronics (1 paper)Axioms (1 paper)PubMed (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Yongjun Chen
11 papers receiving 298 citations
Yongjun Chen's Hit Papers
Peers
Comparison fields: 5 of 55
- Information Systems 226
- Artificial Intelligence 206
- Management Science and Operations Research 52
- Computer Vision and Pattern Recognition 77
- Transportation 13
Countries citing papers authored by Yongjun Chen
This map shows the geographic impact of Yongjun 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 Yongjun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yongjun Chen more than expected).
Fields of papers citing papers by Yongjun Chen
This network shows the impact of papers produced by Yongjun 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 Yongjun Chen. The network helps show where Yongjun Chen may publish in the future.
Co-authors
The 19 scholars most cited alongside Yongjun 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 | Intent Contrastive Learning for Sequential Recommendation Hit paper breakdown → | 2022 | 220 |
| 2 | 2019 | 23 | |
| 3 | 2019 | 23 | |
| 4 | 2018 | 12 | |
| 5 | 2022 | 8 | |
| 6 | 2023 | 4 | |
| 7 | 2019 | 4 | |
| 8 | 1995 | 4 | |
| 9 | Possibility of the Recurrent Education for the Elderly in the Institute of Technology | 2010 | 1 |
| 10 | 2010 | 1 | |
| 11 | 2018 | 1 | |
| 12 | 2015 | 1 | |
| 13 | 2008 | 1 | |
| 14 | 2009 | 0 |
About Yongjun Chen
Yongjun Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 14 papers that have together received 303 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (2 papers), Advanced Neural Network Applications (2 papers), Recommender Systems and Techniques (2 papers), Topic Modeling (2 papers), Digital Media and Visual Art (1 paper), Medical Image Segmentation Techniques (1 paper), Advanced Electron Microscopy Techniques and Applications (1 paper) and Generative Adversarial Networks and Image Synthesis (1 paper). The work is most often cited by research in Information Systems (226 citations), Artificial Intelligence (206 citations), Management Science and Operations Research (52 citations), Computer Vision and Pattern Recognition (77 citations) and Transportation (13 citations). Yongjun Chen has collaborated with scholars based in China and United States. Frequent co-authors include Caiming Xiong, Jia Li, Zhiwei Liu, Julian McAuley, Shuiwang Ji, Hongyang Gao, Xia Hu, Lei Cai, Min Shi and Dinggang Shen. Their work appears in journals such as Adult Education Quarterly, Chinese Journal of Electronics, Axioms, PubMed and Proceedings of the AAAI Conference on Artificial Intelligence.
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.