Ding Chen

43 papers receiving 419 citations

Peers

Ding Chen
Comparison fields: 5 of 75
  • Statistical and Nonlinear Physics 156
  • Computer Networks and Communications 93
  • Atomic and Molecular Physics, and Optics 117
  • Civil and Structural Engineering 64
  • Mechanics of Materials 72
Replace Mikhail E. Semenov with:
Mikhail E. Semenov Russia
Wenkai Wang China
Xiaodong Che United States
J. Pérez Spain
Haibin Wang China
Hong-Liang Yi China
Qiao Zhang China
Mingming Zhao China
Xianfeng He China
Ding Chen relative to Mikhail E. Semenov Russia Mikhail E. Semenov's profile →
Citations per field
00.5×
Mikhail E. Semenov · 1×
Citations per year

Countries citing papers authored by Ding Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ding Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ding 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 Ding Chen Line = papers co-authored together Ding 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 1996173
2 202031
3 201823
4 202021
5 202320
6 202216
7 202314
8 201913
9 202410
10 20249
11 20238
12 20238
13 20147
14 20247
15 20255
16 20234
17 20224
18 20254
19 20204
20 20244

About Ding Chen

Ding Chen is a scholar working on Mechanical Engineering, Civil and Structural Engineering, Mechanics of Materials, Computational Mechanics and Electrical and Electronic Engineering, having authored 45 papers that have together received 423 indexed citations. Recurring topics across this work include Geotechnical Engineering and Underground Structures (6 papers), Fluid Dynamics Simulations and Interactions (5 papers), Numerical methods in engineering (5 papers), Microplastics and Plastic Pollution (3 papers), Human Mobility and Location-Based Analysis (3 papers), Transportation Planning and Optimization (2 papers), Dam Engineering and Safety (2 papers) and Advanced Surface Polishing Techniques (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (156 citations), Computer Networks and Communications (93 citations), Atomic and Molecular Physics, and Optics (117 citations), Civil and Structural Engineering (64 citations) and Mechanics of Materials (72 citations). Ding Chen has collaborated with scholars based in China, Australia and United States. Frequent co-authors include G. P. Tsironis, S. Aubry, Dan Huang, Wenxiong Huang, Scott W. Sloan, Xiangjian Bu, Huaizhong Li, Liang Hou, Liwei Wu and Shaogan Ye. Their work appears in journals such as The Science of The Total Environment, Computers and Geotechnics, IET Intelligent Transport Systems, Journal of Building Engineering and Engineering Failure Analysis.

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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