Jin Cheng

1.7k citations
126 papers · 1.3k · h-index 18

Impact in

Papers in

Jin Cheng

117 papers receiving 1.3k citations

Peers

Jin Cheng
Comparison fields: 5 of 90
  • Statistics, Probability and Uncertainty 206
  • Mechanics of Materials 456
  • Civil and Structural Engineering 339
  • Computational Theory and Mathematics 214
  • Industrial and Manufacturing Engineering 107
Replace Huibin Liu with:
Huibin Liu China
Hyunseok Oh South Korea
Xuan Wang China
Yi Gao China
Xiangyun Long China
Chenzhao Li United States
Partha Pratim Dey India
Shun‐Fa Hwang Taiwan
Gang Shen China
Yongqin Wang China
Jin Cheng relative to Huibin Liu China Huibin Liu's profile →
Citations per field
00.5×4.0×
Huibin Liu · 1×
Citations per year

Countries citing papers authored by Jin Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Jin Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 126 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018159
2 201599
3 201261
4 201947
5 201638
6 201434
7 201834
8 202232
9 201532
10 201629
11 200229
12 200329
13 201428
14 200827
15 200720
16 202019
17 201018
18 202217
19 201817
20 202016

About Jin Cheng

Jin Cheng is a scholar working on Mechanics of Materials, Materials Chemistry, Civil and Structural Engineering, Computational Theory and Mathematics and Statistics, Probability and Uncertainty, having authored 126 papers that have together received 1.3k indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (21 papers), Advanced Multi-Objective Optimization Algorithms (17 papers), Carbon Nanotubes in Composites (15 papers), Numerical methods in engineering (15 papers), Graphene research and applications (13 papers), Topology Optimization in Engineering (11 papers), Ultrasonics and Acoustic Wave Propagation (11 papers) and Perovskite Materials and Applications (9 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (206 citations), Mechanics of Materials (456 citations), Civil and Structural Engineering (339 citations), Computational Theory and Mathematics (214 citations) and Industrial and Manufacturing Engineering (107 citations). Jin Cheng has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zhenyu Liu, Jianrong Tan, Di Wu, Wei Gao, Naiji Lu, Yixiong Feng, Muyu Liu, Xiaojun Chen, Keyan Li and Mingtao Li. Their work appears in journals such as Transactions of Nonferrous Metals Society of China, Theoretical and Applied Fracture Mechanics, Journal of Zhejiang University. Science A, Nonlinear Dynamics and Chinese Journal of Mechanical Engineering.

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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