Kung Ching Chang

541 citations
9 papers · 359 indexed · h-index 8
Topics
Advanced Mathematical Modeling in Engineering (4 papers)Nonlinear Partial Differential Equations (3 papers)Geometric Analysis and Curvature Flows (2 papers)
Partner nations
ChinaUnited States

In The Last Decade

Kung Ching Chang

9 papers receiving 315 citations

Peers

Kung Ching Chang
Comparison fields: 5 of 24
  • Applied Mathematics 299
  • Computational Theory and Mathematics 227
  • Mathematical Physics 118
  • Numerical Analysis 55
  • Geometry and Topology 55
Replace Piero Montecchiari with:
Piero Montecchiari Italy
Yu. V. Pokornyi Russia
L. R. Volevich Russia
Jürgen Bliedtner Germany
Dong Ye France
Анатолий Константинович Гущин Russia
Paolo Caldiroli Italy
Mario Girardi Italy
R.C.A.M. van der Vorst Netherlands
Franco Obersnel Italy
Kung Ching Chang relative to Piero Montecchiari Italy Piero Montecchiari's profile →
Citations per field
00.5×3.7×
Piero Montecchiari · 1×
Citations per year

Countries citing papers authored by Kung Ching Chang

Since Specialization
Citations

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

Fields of papers citing papers by Kung Ching Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kung Ching Chang. 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 Kung Ching Chang. The network helps show where Kung Ching Chang may publish in the future.

Co-authorship network of co-authors of Kung Ching Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Kung Ching Chang. A scholar is included among the top collaborators of Kung Ching Chang 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 Kung Ching Chang. Kung Ching Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 1
2 31
3 17
4 42
5 11
6 44
7 64
8 10
9 139

About Kung Ching Chang

Kung Ching Chang is a scholar working on Applied Mathematics, Geometry and Topology and Discrete Mathematics and Combinatorics, having authored 9 papers that have together received 359 indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (4 papers), Nonlinear Partial Differential Equations (3 papers) and Geometric Analysis and Curvature Flows (2 papers). The work is most often cited by research in Applied Mathematics (299 citations), Computational Theory and Mathematics (227 citations) and Mathematical Physics (118 citations). Kung Ching Chang has collaborated with scholars based in China and United States. Frequent co-authors include Nassif Ghoussoub, Jiaquan Liu, Shujie Li and Tan Zhang. Their work appears in journals such as Communications on Pure and Applied Mathematics, Proceedings of the American Mathematical Society and Communications in Contemporary Mathematics.

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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