Weichen Li

39 papers receiving 587 citations

Peers

Weichen Li
Comparison fields: 5 of 67
  • Industrial and Manufacturing Engineering 120
  • Civil and Structural Engineering 182
  • Media Technology 55
  • Computer Vision and Pattern Recognition 108
  • Mechanics of Materials 108
Replace Tengfei Wang with:
Tengfei Wang China
Lidia Jackowska-Strumiłło Poland
Mehdi Vakilian Iran
Jianbo Wu China
Xudong Song China
Xiaoyuan Ji China
Yanlong Cao China
Jin Ho Park South Korea
Weichen Li relative to Tengfei Wang China Tengfei Wang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Weichen Li

Since Specialization
Citations

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

Fields of papers citing papers by Weichen Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200975
2 202261
3 201256
4 201648
5 202139
6 202337
7 201833
8 202223
9 201622
10 202321
11 202320
12 201717
13 201017
14 202412
15 201812
16 201812
17 200211
18 202210
19 20239
20 20219

About Weichen Li

Weichen Li is a scholar working on Civil and Structural Engineering, Mechanical Engineering, Artificial Intelligence, Mechanics of Materials and Computer Vision and Pattern Recognition, having authored 44 papers that have together received 608 indexed citations. Recurring topics across this work include Topology Optimization in Engineering (8 papers), Composite Structure Analysis and Optimization (5 papers), Advanced Materials and Mechanics (5 papers), Industrial Vision Systems and Defect Detection (4 papers), Structural Analysis and Optimization (4 papers), Advanced Multi-Objective Optimization Algorithms (4 papers), Polymer composites and self-healing (4 papers) and Quantum Information and Cryptography (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (120 citations), Civil and Structural Engineering (182 citations), Media Technology (55 citations), Computer Vision and Pattern Recognition (108 citations) and Mechanics of Materials (108 citations). Weichen Li has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Xiaojia Shelly Zhang, Du‐Ming Tsai, Ole Sigmund, Fengwen Wang, Wei‐Yao Chiu, Ming‐Chun Chen, Xiaohang Ren, Xinru Zhang, Kun Duan and Chih‐Ping Wu. Their work appears in journals such as Scientific Reports, Journal of the Mechanics and Physics of Solids, Proceedings of the National Academy of Sciences, International Journal for Numerical Methods in Engineering and Extreme Mechanics Letters.

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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