Junwen Chen

1.3k citations
81 papers · 1.0k · 1 hit paper · h-index 15

Impact in

Papers in

Junwen Chen

73 papers receiving 1.0k citations

Junwen Chen's Hit Papers

Automatic Defect Detection of Fasteners on the Catenary Support Device Using Deep Convolutional Neural Network 2017 · 359 citations
3590+3+6Years since publication100200300

Peers

Junwen Chen
Comparison fields: 5 of 111
  • Industrial and Manufacturing Engineering 236
  • Mechanical Engineering 326
  • Polymers and Plastics 107
  • Media Technology 63
  • Catalysis 50
Replace Yuting Li with:
Yuting Li China
V.S. Muralidharan India
Jianfeng Yu China
Dong Gao China
Te‐Li Su Taiwan
Qing Liu China
Mengqi Chen China
Yishou Wang China
Gen Liu China
Zhongwei Zhang China
Junwen Chen relative to Yuting Li China Yuting Li's profile →
Citations per field
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Yuting Li · 1×
Citations per year

Countries citing papers authored by Junwen Chen

Since Specialization
Citations

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

Fields of papers citing papers by Junwen Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Automatic Defect Detection of Fasteners on the Catenary Support Device Using Deep Convolutional Neural Network
Hit paper breakdown →
2017359
2 202441
3 202237
4 202036
5 202035
6 202030
7 201830
8 202029
9 202128
10 201925
11 202024
12 201822
13 202418
14 202418
15 202414
16 202013
17 202112
18 202112
19 202211
20 202111

About Junwen Chen

Junwen Chen is a scholar working on Mechanical Engineering, Materials Chemistry, Biomedical Engineering, Electrical and Electronic Engineering and Catalysis, having authored 81 papers that have together received 1.0k indexed citations. Recurring topics across this work include Catalysis and Hydrodesulfurization Studies (11 papers), Catalytic Processes in Materials Science (11 papers), Perovskite Materials and Applications (8 papers), Zeolite Catalysis and Synthesis (8 papers), Conducting polymers and applications (7 papers), Nanomaterials for catalytic reactions (7 papers), Petroleum Processing and Analysis (7 papers) and Enhanced Oil Recovery Techniques (6 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (236 citations), Mechanical Engineering (326 citations), Polymers and Plastics (107 citations), Media Technology (63 citations) and Catalysis (50 citations). Junwen Chen has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Zhigang Liu, Zhiwei Han, Hongrui Wang, Alfredo Núñez, Shufen Chen, Wenlin Li, Jie Qian, Wei Huang, Kun Cao and Chunyan Tu. Their work appears in journals such as Energy, The Journal of Physical Chemistry C, Industrial & Engineering Chemistry Research, Fuel and Solar RRL.

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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