T. C. Chan

759 citations
22 papers · 382 · h-index 11

Impact in

Papers in

T. C. Chan

21 papers receiving 363 citations

Peers

T. C. Chan
Comparison fields: 5 of 57
  • Fluid Flow and Transfer Processes 231
  • Filtration and Separation 36
  • Spectroscopy 263
  • Nuclear and High Energy Physics 54
  • Biomedical Engineering 152
Replace A. Idrissi with:
A. Idrissi France
Jan Fischer Germany
Nuno M. Garrido Portugal
Mikael Jonstroemer Germany
M. Moha-Ouchane France
D.V. Fenby New Zealand
P. Lalanne France
Stephan Deublein Germany
Vladimir A. Durov Russia
W.R. Kimel United States
T. C. Chan relative to A. Idrissi France A. Idrissi's profile →
Citations per field
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A. Idrissi · 1×
Citations per year

Countries citing papers authored by T. C. Chan

Since Specialization
Citations

This map shows the geographic impact of T. C. Chan'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 T. C. Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. C. Chan more than expected).

Fields of papers citing papers by T. C. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. C. Chan. 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 T. C. Chan. The network helps show where T. C. Chan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197990
2 201540
3 199930
4 199229
5 199525
6 198325
7 199723
8 199822
9 198419
10 201318
11 201410
12 199710
13 20029
14 20188
15 20167
16 20176
17 19793
18 20193
19 20202
20 19981

About T. C. Chan

T. C. Chan is a scholar working on Spectroscopy, Fluid Flow and Transfer Processes, Biomedical Engineering, Nuclear and High Energy Physics and Organic Chemistry, having authored 22 papers that have together received 382 indexed citations. Recurring topics across this work include Thermodynamic properties of mixtures (17 papers), Diffusion Coefficients in Liquids (17 papers), Phase Equilibria and Thermodynamics (8 papers), Adsorption, diffusion, and thermodynamic properties of materials (8 papers), NMR spectroscopy and applications (4 papers), Chemical and Physical Properties in Aqueous Solutions (2 papers), Chemical Thermodynamics and Molecular Structure (1 paper) and Material Dynamics and Properties (1 paper). The work is most often cited by research in Fluid Flow and Transfer Processes (231 citations), Filtration and Separation (36 citations), Spectroscopy (263 citations), Nuclear and High Energy Physics (54 citations) and Biomedical Engineering (152 citations). T. C. Chan has collaborated with scholars based in Hong Kong, Canada and China. Frequent co-authors include D. F. Evans, Toshihiro Tominaga, Nong Chen, Jian Lü, Shuang Chen, Irene Lee, K. S. Chan, Jinhui Xu, J. Lielmezs and Wenjun Wang. Their work appears in journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry B, Chemical Communications, Industrial & Engineering Chemistry Research and The Journal of Physical Chemistry.

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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