Jingfan Chen

483 total citations
13 papers, 259 citations indexed

About

Jingfan Chen is a scholar working on Artificial Intelligence, Information Systems and Cancer Research. According to data from OpenAlex, Jingfan Chen has authored 13 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Information Systems and 4 papers in Cancer Research. Recurrent topics in Jingfan Chen's work include Recommender Systems and Techniques (4 papers), Cancer-related molecular mechanisms research (4 papers) and Advanced Graph Neural Networks (3 papers). Jingfan Chen is often cited by papers focused on Recommender Systems and Techniques (4 papers), Cancer-related molecular mechanisms research (4 papers) and Advanced Graph Neural Networks (3 papers). Jingfan Chen collaborates with scholars based in China, Hong Kong and United States. Jingfan Chen's co-authors include Qing Li, Wenqi Fan, Meiyu Dai, Shengming Dai, Shifeng Huang, Chunfeng Yuan, Shengcai Liu, Yihua Huang, Ke Tang and Yan Zou and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Knowledge and Data Engineering and Journal of Cellular Biochemistry.

In The Last Decade

Jingfan Chen

12 papers receiving 257 citations

Peers

Jingfan Chen
Comparison fields: 5 of 48
  • Cancer Research 103
  • Artificial Intelligence 96
  • Molecular Biology 89
  • Information Systems 87
  • Epidemiology 25
Replace Qi Gu with:
Qi Gu China
Xiaoling Chen China
Liwei Cai China
Vijay Shanker United States
Bryon Aragam United States
Zahid Nawaz India
Robert Reihs Austria
Qi Gu China View profile →
Citations per field, relative to Jingfan Chen
Jingfan Chen · 1×
Citations per year, relative to Jingfan Chen
Jingfan Chen · 1×

Countries citing papers authored by Jingfan Chen

Since Specialization
Citations

This map shows the geographic impact of Jingfan 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 Jingfan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingfan Chen more than expected).

Fields of papers citing papers by Jingfan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jingfan 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 Jingfan Chen. The network helps show where Jingfan Chen may publish in the future.

Co-authorship network of co-authors of Jingfan Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Jingfan Chen. A scholar is included among the top collaborators of Jingfan Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jingfan Chen. Jingfan Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
# Work Indexed citations
1 0
2 17
3 19
4 34
5 18
6 45
7 1
8 7
9 18
10 11
11 12
12 16
13 61

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026