Min Tang

1.4k citations
84 papers · 897 indexed · h-index 15
Topics
Mathematical Biology Tumor Growth (17 papers)Advanced Numerical Methods in Computational Mathematics (12 papers)Advanced Mathematical Modeling in Engineering (12 papers)
Journals
Physical Review LettersJournal of Clinical OncologySHILAP Revista de lepidopterología
Partner nations
ChinaUnited StatesFrance

In The Last Decade

Min Tang

75 papers receiving 841 citations

Peers

Min Tang
Comparison fields: 5 of 108
  • Modeling and Simulation 213
  • Public Health, Environmental and Occupational Health 205
  • Computational Mechanics 204
  • Applied Mathematics 177
  • Numerical Analysis 121
Replace M. Ganesh with:
M. Ganesh United States
Kun Zhao United States
Robert A. Gardner United States
Bruce van Brunt New Zealand
Francisco Guillén‐González Spain
Kyungkeun Kang South Korea
Reiner Schätzle Germany
Yanghong Huang United Kingdom
Danielle Hilhorst France
Gershon Wolansky Israel
Min Tang relative to M. Ganesh United States M. Ganesh's profile →
Citations per field
00.5×7.3×
M. Ganesh · 1×
Citations per year

Countries citing papers authored by Min Tang

Since Specialization
Citations

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

Fields of papers citing papers by Min Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min Tang. 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 Min Tang. The network helps show where Min Tang may publish in the future.

Co-authorship network of co-authors of Min Tang

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
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5 2
6 4
7 1
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10 11
11 3
12 9
13 1
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15 5
16 14
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18 20
19 64
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About Min Tang

Min Tang is a scholar working on Modeling and Simulation, Numerical Analysis and Computational Theory and Mathematics, having authored 84 papers that have together received 897 indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (17 papers), Advanced Numerical Methods in Computational Mathematics (12 papers) and Advanced Mathematical Modeling in Engineering (12 papers). The work is most often cited by research in Modeling and Simulation (213 citations), Numerical Analysis (121 citations) and Applied Mathematics (177 citations). Min Tang has collaborated with scholars based in China, United States and France. Frequent co-authors include Paul C. Fife, Pierre Degond, Benoı̂t Perthame, Junfa Mao, Lin‐Sheng Wu, Yi Huang, Nicolas Vauchelet, Shi Jin, Grégoire Nadin and Yihong Wang. Their work appears in journals such as Physical Review Letters, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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