Chen Lin

3.1k citations
125 papers · 2.4k · h-index 26

Impact in

Papers in

    • Recommender Systems and Techniques 27
    • Information Retrieval and Search Behavior 10
    • Topic Modeling 16
    • Natural Language Processing Techniques 7
    • Machine Learning in Healthcare 6

Chen Lin

110 papers receiving 2.4k citations

Peers

Chen Lin
Comparison fields: 5 of 131
  • Health Informatics 86
  • Artificial Intelligence 718
  • Information Systems 471
  • Molecular Biology 856
  • Health Information Management 76
Replace Zhongyu Wei with:
Zhongyu Wei China
Ruifeng Xu China
Lan Huang China
Nemanja Djuric United States
Xuequn Shang China
Michael Cochez Germany
Jun Yan China
Richard Tzong‐Han Tsai Taiwan
Muhammad Javed Iqbal Pakistan
Yu‐Yen Ou Taiwan
Chen Lin relative to Zhongyu Wei China Zhongyu Wei's profile →
Citations per field
00.5×2×3.2×
Zhongyu Wei · 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 125 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013215
2 2013158
3 2019121
4 2013112
5 202189
6 201783
7 201378
8 201276
9 201775
10 201961
11 202161
12 201358
13 201552
14 202152
15 201948
16 202247
17 202046
18 202242
19 202141
20 201738

About Chen Lin

Chen Lin is a scholar working on Information Systems, Artificial Intelligence, Molecular Biology, Computer Networks and Communications and Computational Theory and Mathematics, having authored 125 papers that have together received 2.4k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (27 papers), Topic Modeling (16 papers), Biomedical Text Mining and Ontologies (15 papers), Information Retrieval and Search Behavior (10 papers), Advanced Database Systems and Queries (9 papers), Natural Language Processing Techniques (7 papers), Advanced biosensing and bioanalysis techniques (7 papers) and Machine Learning in Healthcare (6 papers). The work is most often cited by research in Health Informatics (86 citations), Artificial Intelligence (718 citations), Information Systems (471 citations), Molecular Biology (856 citations) and Health Information Management (76 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 J. Bethard, Wenqiang Chen, Yunfeng Wu, Sridhar Krishnan, Xiangrong Liu and Zhenhua Huang. Their work appears in journals such as Briefings in Bioinformatics, IEEE Access, Proceedings of the VLDB Endowment, PLoS ONE and Biochemical and Biophysical Research Communications.

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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