Ching‐Feng Wen

1.6k citations
182 papers · 1.2k · h-index 16

Impact in

Papers in

Ching‐Feng Wen

161 papers receiving 1.1k citations

Peers

Ching‐Feng Wen
Comparison fields: 5 of 79
  • Numerical Analysis 461
  • Computational Theory and Mathematics 921
  • Geometry and Topology 236
  • Modeling and Simulation 95
  • Applied Mathematics 186
Replace Joydeep Dutta with:
Joydeep Dutta India
Chong Li China
Jein-Shan Chen Taiwan
A. F. Izmailov Russia
Savin Treanţă Romania
M. Seetharama Gowda United States
Alberto Seeger France
T. Zolezzi Italy
Regina S. Burachik Australia
Philip D. Loewen Canada
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Citations per field
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Citations per year

Countries citing papers authored by Ching‐Feng Wen

Since Specialization
Citations

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

Fields of papers citing papers by Ching‐Feng Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching‐Feng Wen. 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 Ching‐Feng Wen. The network helps show where Ching‐Feng Wen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 182 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201868
2 201959
3 201858
4 202055
5 201740
6 202231
7 202028
8 202122
9 202122
10 201921
11 201919
12 201919
13 201918
14 201318
15 201717
16 201815
17 201314
18 201214
19 201014
20 201114

About Ching‐Feng Wen

Ching‐Feng Wen is a scholar working on Computational Theory and Mathematics, Numerical Analysis, Geometry and Topology, Control and Systems Engineering and Applied Mathematics, having authored 182 papers that have together received 1.2k indexed citations. Recurring topics across this work include Optimization and Variational Analysis (121 papers), Advanced Optimization Algorithms Research (75 papers), Contact Mechanics and Variational Inequalities (59 papers), Fixed Point Theorems Analysis (38 papers), Topology Optimization in Engineering (23 papers), Rough Sets and Fuzzy Logic (17 papers), Optimization and Mathematical Programming (16 papers) and Multi-Criteria Decision Making (15 papers). The work is most often cited by research in Numerical Analysis (461 citations), Computational Theory and Mathematics (921 citations), Geometry and Topology (236 citations), Modeling and Simulation (95 citations) and Applied Mathematics (186 citations). Ching‐Feng Wen has collaborated with scholars based in Taiwan, China and India. Frequent co-authors include Lu-Chuan Ceng, Jen‐Chih Yao, Shih-sen Chang, Zhaowen Li, Gangqiang Zhang, Zhenhai Liu, Ningxin Xie, Yongjian Liu, Pengfei Zhang and Yeong‐Cheng Liou. Their work appears in journals such as Journal of Inequalities and Applications, Optimization, The Journal of Nonlinear Sciences and Applications, Abstract and Applied Analysis and Journal of Nonlinear and Variational 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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