David M. Chen

3.2k citations
45 papers · 2.2k · h-index 22

Impact in

Papers in

David M. Chen

44 papers receiving 2.1k citations

Peers

David M. Chen
Comparison fields: 5 of 154
  • Computer Vision and Pattern Recognition 1.1k
  • Industrial and Manufacturing Engineering 207
  • Media Technology 197
  • Aerospace Engineering 449
  • Family Practice 12
Replace Tianyuan Zhang with:
Tianyuan Zhang China
Emanuel Peres Portugal
Hailin Feng China
Lorena Parra Spain
Håkan Jönsson Sweden
Ting Chen China
Xin Zhang China
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Tofael Ahamed Japan
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David M. Chen relative to Tianyuan Zhang China Tianyuan Zhang's profile →
Citations per field
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Citations per year

Countries citing papers authored by David M. Chen

Since Specialization
Citations

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

Fields of papers citing papers by David M. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020352
2 2011284
3 2011272
4 201194
5 201193
6 201988
7 200585
8 201083
9 201181
10 200978
11 200274
12 200156
13 202253
14 201553
15 200348
16 201042
17 200936
18 201029
19 201428
20 200127

About David M. Chen

David M. Chen is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Plant Science, Ecology, Evolution, Behavior and Systematics and Ecology, having authored 45 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (25 papers), Image Retrieval and Classification Techniques (12 papers), Robotics and Sensor-Based Localization (9 papers), Mycorrhizal Fungi and Plant Interactions (6 papers), Algorithms and Data Compression (4 papers), Video Surveillance and Tracking Methods (4 papers), Climate change impacts on agriculture (3 papers) and Agriculture Sustainability and Environmental Impact (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Industrial and Manufacturing Engineering (207 citations), Media Technology (197 citations), Aerospace Engineering (449 citations) and Family Practice (12 citations). David M. Chen has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Bernd Girod, Sam S. Tsai, Radek Grzeszczuk, Alexander Popp, Benjamin Leon Bodirsky, John Cairney, Abhijeet Mishra, Tobias Krueger, Georg Schroth and Vijay Chandrasekhar. Their work appears in journals such as Nature Food, New Phytologist, Mycorrhiza, Journal of Plant Physiology and Physical Medicine and Rehabilitation Clinics of North America.

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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