Jundong Li

13.8k citations
199 papers · 6.5k indexed · 4 hit papers · h-index 40

Impact in

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

Jundong Li

170 papers receiving 6.4k citations

Hit Papers

Self-Supervised Learning for Recommender Systems: A Survey 2023 · 197 citations
197201720262020202350010001.5k

Peers

Jundong Li
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
Replace Pádraig Cunningham with:
Pádraig Cunningham Ireland
Yangqiu Song China
Suhang Wang United States
Yi Chang United States
Xiangliang Zhang Saudi Arabia
Jia Wu Australia
Yuxiao Dong China
Jing Liu China
Hai-Tao Zheng China
Longbing Cao Australia
Jundong Li relative to Pádraig Cunningham Ireland Pádraig Cunningham's profile →
Citations per field
00.5×4.1×
Pádraig Cunningham · 1×
Citations per year

Countries citing papers authored by Jundong Li

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jundong Li Line = papers co-authored together Jundong Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20251
3 20240
4 20243
5 20241
6 20241
7 202438
8 20245
9 20230
10 202313
11 20237
12 202317
13 20232
14 20236
15 20234
16 20231
17 20239
18 202315
19 20236
20
Feature Selection
Hit paper breakdown →
20171541

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.

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