Yudi Chen

30 papers receiving 1.0k citations

Yudi Chen's Hit Papers

Developing a deep reinforcement learning model for safety risk prediction at subway construction sites 2025 · 20 citations
200Years since publication5101520

Peers

Yudi Chen
Comparison fields: 5 of 91
  • Catalysis 214
  • Energy Engineering and Power Technology 39
  • Process Chemistry and Technology 30
  • Mechanical Engineering 359
  • Materials Chemistry 446
Replace Hongyu Wu with:
Hongyu Wu China
Yilin Liu China
Zhen Shen China
Ang Li China
Zhirong Chen China
Yihe Wang China
Xiaolin Guo China
Zongwei Li China
Roy van den Berg Netherlands
Yudi Chen relative to Hongyu Wu China Hongyu Wu's profile →
Citations per field
00.5×2.7×
Hongyu Wu · 1×
Citations per year

Countries citing papers authored by Yudi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yudi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015138
2 2018127
3 2013125
4 2019114
5 201499
6 201360
7 202046
8 201641
9 201841
10 201839
11 202133
12 202121
13
Developing a deep reinforcement learning model for safety risk prediction at subway construction sites
Hit paper breakdown →
202520
14 202320
15 202116
16 201615
17 202112
18 202112
19 20209
20 20208

About Yudi Chen

Yudi Chen is a scholar working on Materials Chemistry, Communication, Sociology and Political Science, Mechanical Engineering and Biomedical Engineering, having authored 33 papers that have together received 1.0k indexed citations. Recurring topics across this work include Public Relations and Crisis Communication (7 papers), Disaster Management and Resilience (6 papers), Catalysis and Hydrodesulfurization Studies (6 papers), Catalysis for Biomass Conversion (5 papers), Urticaria and Related Conditions (4 papers), Layered Double Hydroxides Synthesis and Applications (4 papers), Complex Network Analysis Techniques (3 papers) and Infrastructure Resilience and Vulnerability Analysis (3 papers). The work is most often cited by research in Catalysis (214 citations), Energy Engineering and Power Technology (39 citations), Process Chemistry and Technology (30 citations), Mechanical Engineering (359 citations) and Materials Chemistry (446 citations). Yudi Chen has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Min Wei, David G. Evans, Wenying Ji, Junyao Zhou, Deming Rao, Yusen Yang, Xue Duan, Shitong Zhang, Shan He and Xin Zhang. Their work appears in journals such as Journal of Allergy and Clinical Immunology, International Journal of Disaster Risk Reduction, Journal of Management in Engineering, ACS Catalysis and Natural Hazards Review.

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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