Chen Chen

2.9k citations
127 papers · 2.2k · 1 hit paper · h-index 24

Impact in

Papers in

Chen Chen

118 papers receiving 2.2k citations

Chen Chen's Hit Papers

Behaviour recognition of pigs and cattle: Journey from computer vision to deep learning 2021 · 157 citations
1570+1+3Years since publication50100150

Peers

Chen Chen
Comparison fields: 5 of 138
  • Small Animals 416
  • Fluid Flow and Transfer Processes 233
  • Computational Mechanics 592
  • Animal Science and Zoology 268
  • Food Science 191
Replace Li Rong with:
Li Rong China
Guoming Li China
Zhenming Li China
Anurag Tripathi India
Shinichi Kinoshita Japan
Haihang Li China
Yaowei Liu China
Guillaume Delaplace France
Eugene P. Columbus United States
Chang-Kyu Lee South Korea
Chen Chen relative to Li Rong China Li Rong's profile →
Citations per field
00.5×10×20×30×38.8×
Li Rong · 1×
Citations per year

Countries citing papers authored by Chen Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chen Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 127 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014234
2
Behaviour recognition of pigs and cattle: Journey from computer vision to deep learning
Hit paper breakdown →
2021157
3 2019100
4 202092
5 201775
6 202273
7 201967
8 201766
9 202065
10 201058
11 202357
12 202057
13 202053
14 201543
15 202043
16 201838
17 202236
18 201733
19 201832
20 202231

About Chen Chen

Chen Chen is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics, Aerospace Engineering, Small Animals and Animal Science and Zoology, having authored 127 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (30 papers), Combustion and flame dynamics (24 papers), Fluid Dynamics and Heat Transfer (18 papers), Animal Behavior and Welfare Studies (8 papers), Atmospheric chemistry and aerosols (8 papers), Catalytic Processes in Materials Science (8 papers), High Entropy Alloys Studies (8 papers) and Plant Surface Properties and Treatments (7 papers). The work is most often cited by research in Small Animals (416 citations), Fluid Flow and Transfer Processes (233 citations), Computational Mechanics (592 citations), Animal Science and Zoology (268 citations) and Food Science (191 citations). Chen Chen has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Weixing Zhu, Tomás Norton, Renwei Mei, Like Li, James F. Klausner, Janice M. Siegford, Juan Pedro Steibel, Junjie Han, Dong Liu and Xuchun Qiu. Their work appears in journals such as Computers and Electronics in Agriculture, Fuel, Journal of the Energy Institute, Aerospace Science and Technology and Antioxidants.

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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