Jundong Li
Impact in
- Artificial Intelligence top 0.1%
- Advanced Graph Neural Networks
- Topic Modeling
- Anomaly Detection Techniques and Applications
- Text and Document Classification Technologies
- Statistical and Nonlinear Physics top 0.5%
- Complex Network Analysis Techniques
Papers in
-
- Advanced Graph Neural Networks 69
- Topic Modeling 23
- Anomaly Detection Techniques and Applications 15
- Domain Adaptation and Few-Shot Learning 13
- Machine Learning and Data Classification 12
-
- Ovarian cancer diagnosis and treatment 23
- Co-authors
- Huan LiuJiliang TangKewei ChengSuhang WangRobert P. TreviñoFred MorstatterXia HuXiao Huang
- Journals
- Journal of Clinical Oncology (9 papers)IEEE Transactions on Knowledge and Data Engineering (8 papers)ACM Transactions on Knowledge Discovery from Data (4 papers)International Journal of Gynecological Cancer (3 papers)Data Mining and Knowledge Discovery (3 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Jundong Li
170 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 186
- Artificial Intelligence 4.2k
- Statistical and Nonlinear Physics 962
- Information Systems 1.4k
- Computer Vision and Pattern Recognition 1.1k
- Computer Networks and Communications 778
Countries citing papers authored by Jundong Li
This map shows the geographic impact of Jundong Li'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 Jundong Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jundong Li more than expected).
Fields of papers citing papers by Jundong Li
This network shows the impact of papers produced by Jundong Li. 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 Jundong Li. The network helps show where Jundong Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Jundong Li, 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 | 2025 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 38 | |
| 8 | 2024 | 5 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 13 | |
| 11 | 2023 | 7 | |
| 12 | 2023 | 17 | |
| 13 | 2023 | 2 | |
| 14 | 2023 | 6 | |
| 15 | 2023 | 4 | |
| 16 | 2023 | 1 | |
| 17 | 2023 | 9 | |
| 18 | 2023 | 15 | |
| 19 | 2023 | 6 | |
| 20 | Feature Selection Hit paper breakdown → | 2017 | 1541 |
About Jundong Li
Jundong Li is a scholar working on Artificial Intelligence, Reproductive Medicine, Statistical and Nonlinear Physics, Information Systems and Obstetrics and Gynecology, having authored 199 papers that have together received 6.5k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (69 papers), Recommender Systems and Techniques (28 papers), Complex Network Analysis Techniques (28 papers), Topic Modeling (23 papers), Ovarian cancer diagnosis and treatment (23 papers), Anomaly Detection Techniques and Applications (15 papers), Domain Adaptation and Few-Shot Learning (13 papers) and Machine Learning and Data Classification (12 papers). The work is most often cited by research in Artificial Intelligence (4.2k citations), Statistical and Nonlinear Physics (962 citations), Information Systems (1.4k citations), Computer Vision and Pattern Recognition (1.1k citations) and Computer Networks and Communications (778 citations). Jundong Li has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Huan Liu, Huan Liu, Jiliang Tang, Kewei Cheng, Suhang Wang, Robert P. Treviño, Fred Morstatter, Xia Hu, Xiao Huang and Junliang Yu. Their work appears in journals such as Journal of Clinical Oncology, IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Knowledge Discovery from Data, International Journal of Gynecological Cancer and Data Mining and Knowledge Discovery.
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.