H.-C. Chang

566 citations
13 papers · 469 · h-index 9

Impact in

Papers in

H.-C. Chang

13 papers receiving 446 citations

Peers

H.-C. Chang
Comparison fields: 5 of 41
  • Computational Mechanics 440
  • Fluid Flow and Transfer Processes 68
  • Computer Networks and Communications 148
  • Condensed Matter Physics 37
  • Surfaces, Coatings and Films 17
Replace Victoria B. Bekezhanova with:
Victoria B. Bekezhanova Russia
Kirk Brattkus United States
Kazuto Okada Japan
D.L. Aseev Russia
Vasileios Symeonidis United States
H. H. HU United States
Nathan W. Mueggenburg United States
E. I. Saad Egypt
Edward A. Winsa United States
Guillaume Dupeux France
H.-C. Chang relative to Victoria B. Bekezhanova Russia Victoria B. Bekezhanova's profile →
Citations per field
00.5×2×4×6×8×9.3×
Victoria B. Bekezhanova · 1×
Citations per year

Countries citing papers authored by H.-C. Chang

Since Specialization
Citations

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

Fields of papers citing papers by H.-C. Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H.-C. 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 H.-C. Chang. The network helps show where H.-C. Chang may publish in the future.

Co-authors

The 10 scholars most cited alongside H.-C. Chang, 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 H.-C. Chang Line = papers co-authored together H.-C. Chang links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 1993157
2 199194
3 199566
4 200050
5 199626
6 199425
7 199522
8 200010
9 19939
10 19965
11 20253
12 19931
13 20011

About H.-C. Chang

H.-C. Chang is a scholar working on Computational Mechanics, Computer Networks and Communications, Condensed Matter Physics, Statistical and Nonlinear Physics and Materials Chemistry, having authored 13 papers that have together received 469 indexed citations. Recurring topics across this work include Fluid Dynamics and Thin Films (10 papers), Nonlinear Dynamics and Pattern Formation (7 papers), Fluid Dynamics and Turbulent Flows (6 papers), Fluid Dynamics and Heat Transfer (3 papers), Theoretical and Computational Physics (3 papers), Solidification and crystal growth phenomena (2 papers), Hydraulic and Pneumatic Systems (1 paper) and Nanofluid Flow and Heat Transfer (1 paper). The work is most often cited by research in Computational Mechanics (440 citations), Fluid Flow and Transfer Processes (68 citations), Computer Networks and Communications (148 citations), Condensed Matter Physics (37 citations) and Surfaces, Coatings and Films (17 citations). H.-C. Chang has collaborated with scholars based in United States, Russia and Taiwan. Frequent co-authors include EVGENY A. DEMEKHIN, Dmitry I. Kopelevich, Royston M. Roberts, Mark J. McCready, David T. Leighton, Jie Ouyang, Xiaodong Wang, E.E. Wolf, Cheol-Hong Hwang and Pavlo Takhistov. Their work appears in journals such as Journal of Fluid Mechanics, Chemical Engineering Science, Physical Review Letters, Computational Mechanics and Chemical Engineering Communications.

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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