Jin Chen

3.0k citations
104 papers · 1.6k · h-index 22

Impact in

Papers in

Jin Chen

97 papers receiving 1.6k citations

Peers

Jin Chen
Comparison fields: 5 of 160
  • Hardware and Architecture 96
  • Insect Science 174
  • Soil Science 112
  • Nature and Landscape Conservation 128
  • Information Systems and Management 72
Replace Sang-Don Lee with:
Sang-Don Lee South Korea
Fabian Schneider United States
S. Ninomiya Japan
Christian L. Müller Germany
Dirk Eddelbuettel United States
Matthew B. Jones United States
Peter Arzberger United States
Naiqian Zhang China
P. Lu Canada
Jin Chen relative to Sang-Don Lee South Korea Sang-Don Lee's profile →
Citations per field
00.5×3.8×
Sang-Don Lee · 1×
Citations per year

Countries citing papers authored by Jin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008228
2 2009171
3 2008152
4 201692
5 200659
6 201543
7 201543
8 201042
9 201241
10 201735
11 202033
12 202031
13 200931
14 200530
15 201829
16 201426
17 200825
18 202125
19 201525
20 202124

About Jin Chen

Jin Chen is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Plant Science, Artificial Intelligence and Nature and Landscape Conservation, having authored 104 papers that have together received 1.6k indexed citations. Recurring topics across this work include Ecology and Vegetation Dynamics Studies (8 papers), Handwritten Text Recognition Techniques (5 papers), Virus-based gene therapy research (5 papers), Animal Virus Infections Studies (5 papers), Innovation and Knowledge Management (5 papers), Wildlife Ecology and Conservation (4 papers), Image Processing Techniques and Applications (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Hardware and Architecture (96 citations), Insect Science (174 citations), Soil Science (112 citations), Nature and Landscape Conservation (128 citations) and Information Systems and Management (72 citations). Jin Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xiaodong Yang, Jay Lofstead, Scott Klasky, Norbert Podhorszki, Karsten Schwan, David Kramer, Yu Cheng Zhu, Jinliang Shen, Yanhua Wang and Yue Huang. Their work appears in journals such as Bioinformatics, Technological Forecasting and Social Change, Plant and Soil, Vaccine and Global Ecology and Conservation.

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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