Jun Xu
Impact in
- Artificial Intelligence top 0.2%
- Topic Modeling
- Natural Language Processing Techniques
- Text and Document Classification Technologies
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- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Video Analysis and Summarization
Papers in
-
- Topic Modeling 80
- Natural Language Processing Techniques 39
- Text and Document Classification Technologies 21
- Advanced Graph Neural Networks 19
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- Recommender Systems and Techniques 48
- Information Retrieval and Search Behavior 33
- Web Data Mining and Analysis 19
- Journals
- ACM Transactions on Information Systems (7 papers)Journal of the Association for Information Systems (7 papers)Journal of Management Development (5 papers)IEEE Transactions on Knowledge and Data Engineering (3 papers)Frontiers of Computer Science (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jun Xu
294 papers receiving 7.3k citations
Hit Papers
Peers
Comparison fields: 5 of 195
- Artificial Intelligence 4.0k
- Computer Vision and Pattern Recognition 2.2k
- Information Systems 2.2k
- Management Science and Operations Research 633
- Signal Processing 475
Countries citing papers authored by Jun Xu
This map shows the geographic impact of Jun Xu'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 Jun Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Xu more than expected).
Fields of papers citing papers by Jun Xu
This network shows the impact of papers produced by Jun Xu. 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 Jun Xu. The network helps show where Jun Xu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun Xu, 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 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 6 | |
| 9 | 2024 | 5 | |
| 10 | 2024 | 2 | |
| 11 | 2024 | 0 | |
| 12 | 2024 | 4 | |
| 13 | 2024 | 3 | |
| 14 | 2023 | 17 | |
| 15 | 2023 | 6 | |
| 16 | 2023 | 11 | |
| 17 | 2023 | 8 | |
| 18 | 2022 | 2 | |
| 19 | 2022 | 3 | |
| 20 | 2022 | 30 |
About Jun Xu
Jun Xu is a scholar working on Artificial Intelligence, Information Systems, Management Science and Operations Research, Communication and Computer Vision and Pattern Recognition, having authored 327 papers that have together received 7.7k indexed citations. Recurring topics across this work include Topic Modeling (80 papers), Recommender Systems and Techniques (48 papers), Natural Language Processing Techniques (39 papers), Information Retrieval and Search Behavior (33 papers), Advanced Bandit Algorithms Research (22 papers), Text and Document Classification Technologies (21 papers), Web Data Mining and Analysis (19 papers) and Advanced Graph Neural Networks (19 papers). The work is most often cited by research in Artificial Intelligence (4.0k citations), Computer Vision and Pattern Recognition (2.2k citations), Information Systems (2.2k citations), Management Science and Operations Research (633 citations) and Signal Processing (475 citations). Jun Xu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Hang Li, Tao Mei, Ting Yao, Yong Rui, Xueqi Cheng, Yanyan Lan, Jiafeng Guo, Tie‐Yan Liu, Mohammed Quaddus and Hang Li. Their work appears in journals such as ACM Transactions on Information Systems, Journal of the Association for Information Systems, Journal of Management Development, IEEE Transactions on Knowledge and Data Engineering and Frontiers of Computer Science.
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.