Chung-Lie Wang

409 total citations
31 papers, 243 citations indexed

About

Chung-Lie Wang is a scholar working on Applied Mathematics, Computational Theory and Mathematics and Control and Systems Engineering. According to data from OpenAlex, Chung-Lie Wang has authored 31 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Applied Mathematics, 13 papers in Computational Theory and Mathematics and 10 papers in Control and Systems Engineering. Recurrent topics in Chung-Lie Wang's work include Functional Equations Stability Results (10 papers), Advanced Optimization Algorithms Research (8 papers) and Optimization and Variational Analysis (7 papers). Chung-Lie Wang is often cited by papers focused on Functional Equations Stability Results (10 papers), Advanced Optimization Algorithms Research (8 papers) and Optimization and Variational Analysis (7 papers). Chung-Lie Wang collaborates with scholars based in Canada and China. Chung-Lie Wang's co-authors include Seiichi Iwamoto, Yuanlie Lin and L. C. Hsu and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, SIAM Review and American Mathematical Monthly.

In The Last Decade

Chung-Lie Wang

29 papers receiving 197 citations

Peers

Chung-Lie Wang
Comparison fields: 5 of 25
  • Computational Theory and Mathematics 121
  • Applied Mathematics 113
  • Control and Systems Engineering 84
  • Numerical Analysis 81
  • Geometry and Topology 70
Replace W. L. Bynum with:
W. L. Bynum United States
Karl‐Heinz Elster Germany
Mircea Balaj Romania
Ryszard Urbański Poland
Barry H. Dayton United States
А. С. Тихомиров Russia
William Y. Sit United States
Kuldip Raj India
Tiago Mendonça da Costa Chile
С. С. Марченков Russia
W. L. Bynum United States View profile →
Citations per field, relative to Chung-Lie Wang
Chung-Lie Wang · 1×
Citations per year, relative to Chung-Lie Wang
Chung-Lie Wang · 1×

Countries citing papers authored by Chung-Lie Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chung-Lie Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chung-Lie Wang. 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 Chung-Lie Wang. The network helps show where Chung-Lie Wang may publish in the future.

Co-authorship network of co-authors of Chung-Lie Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Chung-Lie Wang. A scholar is included among the top collaborators of Chung-Lie Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chung-Lie Wang. Chung-Lie Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 5
2 4
3 1
4 2
5 1
6 7
7 7
8 8
9 1
10 17
11 1
12 4
13 14
14 10
15 10
16 22
17 21
18 21
19 12
20 18

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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