Chen Lin

3.1k citations
122 papers · 2.3k · h-index 26

Impact in

Papers in

Chen Lin

112 papers receiving 2.2k citations

Peers

Chen Lin
Comparison fields: 5 of 151
  • Health Informatics 37
  • Artificial Intelligence 928
  • Information Systems 463
  • Molecular Biology 818
  • Health Information Management 50
Replace Ying Shen with:
Ying Shen China
Zhongyu Wei China
Gholamreza Haffari Australia
Chun‐Nan Hsu Taiwan
Arlindo L. Oliveira Portugal
Michael Cochez Germany
Yun Xiong China
Athanasios Tsakalidis Greece
Jung-Hsien Chiang Taiwan
Dietrich Rebholz‐Schuhmann United Kingdom
Chen Lin relative to Ying Shen China Ying Shen's profile →
Citations per field
00.5×1.5×2.4×
Ying Shen · 1×
Citations per year

Countries citing papers authored by Chen Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chen Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chen Lin, 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 Chen Lin Line = papers co-authored together Chen Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013214
2 2013157
3 2019112
4 2013109
5 202188
6 201777
7 201377
8 201276
9 201767
10 201358
11 201957
12 202156
13 201551
14 202148
15 202245
16 201945
17 202041
18 202139
19 202237
20 201736

About Chen Lin

Chen Lin is a scholar working on Artificial Intelligence, Information Systems, Molecular Biology, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 122 papers that have together received 2.3k indexed citations. Recurring topics across this work include Topic Modeling (37 papers), Recommender Systems and Techniques (24 papers), Natural Language Processing Techniques (15 papers), Advanced Graph Neural Networks (11 papers), Biomedical Text Mining and Ontologies (11 papers), Single-cell and spatial transcriptomics (9 papers), Complex Network Analysis Techniques (8 papers) and Web Data Mining and Analysis (8 papers). The work is most often cited by research in Health Informatics (37 citations), Artificial Intelligence (928 citations), Information Systems (463 citations), Molecular Biology (818 citations) and Health Information Management (50 citations). Chen Lin has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Quan Zou, Guergana Savova, Timothy A. Miller, Dmitriy Dligach, Steven Bethard, Yunfeng Wu, Sridhar Krishnan, Cheng Qiu, Wenqiang Chen and Xiangrong Liu. Their work appears in journals such as Briefings in Bioinformatics, Proceedings of the VLDB Endowment, Biochemical and Biophysical Research Communications, IEEE Access and Cancer Research.

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