T. K. Hung

18 papers receiving 501 citations

Peers

T. K. Hung
Comparison fields: 5 of 65
  • Computational Mechanics 219
  • Biomedical Engineering 330
  • Modeling and Simulation 31
  • Mechanical Engineering 209
  • Fluid Flow and Transfer Processes 34
Replace Sofen Kumar Jena with:
Sofen Kumar Jena India
Jen-Shih Lee United States
K.N. Mehta India
Leif N. Persen Norway
F. Labropulu Canada
Cheng Tu China
Prashanta Kumar Mandal India
Jonghwun Jung United States
Farzan Ghalichi Iran
Sokrates Tsangaris Greece
T. K. Hung relative to Sofen Kumar Jena India Sofen Kumar Jena's profile →
Citations per field
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Citations per year

Countries citing papers authored by T. K. Hung

Since Specialization
Citations

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

Fields of papers citing papers by T. K. Hung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside T. K. Hung, 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. K. Hung Line = papers co-authored together T. K. Hung links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2013195
2 201247
3 201074
4 20084
5 200713
6 200612
7 19865
8 19851
9 198247
10 19811
11
Blood flow in capillary tubes: curvature and gravity effects.
198010
12
The standardization of experimental impact injury to the spinal cord.
197921
13 19771
14
Biomechanical responses to open experimental spinal cord injury.
197542
15 19719
16 197049
17 19709
18 19641

About T. K. Hung

T. K. Hung is a scholar working on Fluid Flow and Transfer Processes, Small Animals, Modeling and Simulation, Biomedical Engineering and Computational Mechanics, having authored 18 papers that have together received 541 indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (4 papers), Rheology and Fluid Dynamics Studies (3 papers), Lattice Boltzmann Simulation Studies (2 papers), Traumatic Brain Injury Research (2 papers), Heat and Mass Transfer in Porous Media (2 papers), Spinal Cord Injury Research (2 papers), Cardiovascular Function and Risk Factors (2 papers) and Hemoglobin structure and function (2 papers). The work is most often cited by research in Computational Mechanics (219 citations), Biomedical Engineering (330 citations), Modeling and Simulation (31 citations), Mechanical Engineering (209 citations) and Fluid Flow and Transfer Processes (34 citations). T. K. Hung has collaborated with scholars based in United States, Iran and United Kingdom. Frequent co-authors include O. Anwar Bég, Mohammad Mehdi Rashidi, Ashkan Hosseini, Navid Freidoonimehr, Maurice S. Albin, M. Keimanesh, Leonid Bunegin, Mark H. Wholey, E. Y. K. Ng and Liang Zhong. Their work appears in journals such as Anesthesiology, Journal of Biomechanics, Computers in Biology and Medicine, International Journal for Numerical Methods in Biomedical Engineering and Radiology.

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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