H.-C. Chang

560 citations
14 papers · 435 · h-index 8

Impact in

Papers in

H.-C. Chang

14 papers receiving 417 citations

Peers

H.-C. Chang
Comparison fields: 5 of 38
  • Computational Mechanics 409
  • Fluid Flow and Transfer Processes 62
  • Computer Networks and Communications 134
  • Condensed Matter Physics 29
  • Materials Chemistry 107
Replace E. N. Kalaĭdin with:
E. N. Kalaĭdin Russia
T. Martínez Spain
Vladimir Mitlin United States
B. G. Levich United States
В. Б. Бекежанова Russia
K. Brattkus United States
O. Caballina France
D.L. Aseev Russia
D. H. Michael United Kingdom
David N. Sibley United Kingdom
H.-C. Chang relative to E. N. Kalaĭdin Russia E. N. Kalaĭdin's profile →
Citations per field
00.5×1.5×1.8×
E. N. Kalaĭdin · 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 12 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

14 of 14 papers shown
#Work
1 1993150
2 199186
3 199557
4 200050
5 199625
6 199520
7 199420
8 200010
9 19937
10 19964
11 20252
12 19962
13 19931
14 20011

About H.-C. Chang

H.-C. Chang is a scholar working on Computational Mechanics, Computer Networks and Communications, Condensed Matter Physics, Materials Chemistry and Organic Chemistry, having authored 14 papers that have together received 435 indexed citations. Recurring topics across this work include Fluid Dynamics and Thin Films (11 papers), Nonlinear Dynamics and Pattern Formation (8 papers), Fluid Dynamics and Turbulent Flows (6 papers), Fluid Dynamics and Heat Transfer (4 papers), Theoretical and Computational Physics (3 papers), Solidification and crystal growth phenomena (2 papers), Surfactants and Colloidal Systems (1 paper) and Hydraulic flow and structures (1 paper). The work is most often cited by research in Computational Mechanics (409 citations), Fluid Flow and Transfer Processes (62 citations), Computer Networks and Communications (134 citations), Condensed Matter Physics (29 citations) and Materials Chemistry (107 citations). H.-C. Chang has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include E. A. Demekhin, Dmitry I. Kopelevich, Royston M. Roberts, E. N. Kalaĭdin, Mark J. McCready, David T. Leighton, Jie Ouyang, Xiaodong Wang, E.E. Wolf and Pavlo Takhistov. Their work appears in journals such as Journal of Fluid Mechanics, Chemical Engineering Science, Computational Mechanics, Journal of Colloid and Interface Science and Physical Review 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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