Chen Lin

3.6k citations
158 papers · 2.4k indexed · h-index 27

Impact in

Papers in

Chen Lin

141 papers receiving 2.4k citations

Peers

Chen Lin
Comparison fields: 5 of 164
  • Health Informatics 55
  • Artificial Intelligence 984
  • Information Systems 427
  • Health Information Management 67
  • Molecular Biology 976
Replace David Gondek with:
David Gondek United States
Chun‐Nan Hsu Taiwan
Zhongyu Wei China
Ying Shen China
Shaoliang Peng China
Gholamreza Haffari Australia
Xiaohua Hu United States
Mario Cannataro Italy
Arlindo L. Oliveira Portugal
Ulf Leser Germany
Chen Lin relative to David Gondek United States David Gondek's profile →
Citations per field
00.5×1.5×2.1×
David Gondek · 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 158 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013208
2 2013155
3 2019109
4 201398
5 202187
6 201371
7 201869
8 201765
9 201765
10 201265
11 202154
12 201951
13 201549
14 201347
15 201944
16 202143
17 202242
18 202037
19 202134
20 202231

About Chen Lin

Chen Lin is a scholar working on Information Systems, Artificial Intelligence, Signal Processing, Computer Networks and Communications and Management Science and Operations Research, having authored 158 papers that have together received 2.4k indexed citations. Recurring topics across this work include Topic Modeling (39 papers), Recommender Systems and Techniques (26 papers), Natural Language Processing Techniques (20 papers), Biomedical Text Mining and Ontologies (16 papers), Single-cell and spatial transcriptomics (9 papers), Advanced Graph Neural Networks (9 papers), Expert finding and Q&A systems (9 papers) and Machine Learning in Bioinformatics (8 papers). The work is most often cited by research in Health Informatics (55 citations), Artificial Intelligence (984 citations), Information Systems (427 citations), Health Information Management (67 citations) and Molecular Biology (976 citations). Chen Lin has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Quan Zou, Guergana Savova, Timothy A. Miller, Dmitriy Dligach, Steven Bethard, Cheng Qiu, Yunfeng Wu, Wenqiang Chen, Sridhar Krishnan and Xiangrong Liu. Their work appears in journals such as Briefings in Bioinformatics, Frontiers in Genetics, IEEE Access, Journal of the American Medical Informatics Association 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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