Lei‐Han Tang

6.4k citations
99 papers · 4.6k indexed · 1 hit paper · h-index 34
Topics
Theoretical and Computational Physics (36 papers)Stochastic processes and statistical mechanics (15 papers)nanoparticles nucleation surface interactions (12 papers)
Partner nations
Hong KongChinaGermany

In The Last Decade

Lei‐Han Tang

98 papers receiving 4.4k citations

Hit Papers

An evidence review of face masks against COVID-1920212026202220242021250500750

Peers

Lei‐Han Tang
Comparison fields: 5 of 187
  • Condensed Matter Physics 1.9k
  • Materials Chemistry 946
  • Mathematical Physics 767
  • Molecular Biology 738
  • Atomic and Molecular Physics, and Optics 586
Replace Stefano Zapperi with:
Stefano Zapperi Italy
John Toner United States
H. Eduardo Roman Italy
Mitsugu Matsushita Japan
Michel Droz Switzerland
J. M. Sancho Spain
Zoltàn Ràcz Hungary
Henrik Flyvbjerg Denmark
J. P. Bouchaud France
Wim van Saarloos Netherlands
Lei‐Han Tang relative to Stefano Zapperi Italy Stefano Zapperi's profile →
Citations per field
00.5×1.5×
Stefano Zapperi · 1×
Citations per year

Countries citing papers authored by Lei‐Han Tang

Since Specialization
Citations

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

Fields of papers citing papers by Lei‐Han Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lei‐Han Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Lei‐Han Tang. A scholar is included among the top collaborators of Lei‐Han 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 Lei‐Han Tang. Lei‐Han 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
2 2
3 1
4
An evidence review of face masks against COVID-19breakdown →
805
5 7
6 2
7 10
8 11
9 24
10
Detection of chiral anomaly and valley transport in Dirac semimetals
2
11 13
12 13
13 41
14 5
15 52
16
RNA pseudoknot prediction
2
17 43
18 17
19 4
20 95

About Lei‐Han Tang

Lei‐Han Tang is a scholar working on Condensed Matter Physics, Aging and Mathematical Physics, having authored 99 papers that have together received 4.6k indexed citations. Recurring topics across this work include Theoretical and Computational Physics (36 papers), Stochastic processes and statistical mechanics (15 papers) and nanoparticles nucleation surface interactions (12 papers). The work is most often cited by research in Condensed Matter Physics (1.9k citations), Modeling and Simulation (531 citations) and Mathematical Physics (767 citations). Lei‐Han Tang has collaborated with scholars based in Hong Kong, China and Germany. Frequent co-authors include Heiko Leschhorn, Thomas Nattermann, Bruce M. Forrest, S. Stepanow, Dietrich E. Wolf, Hugues Chaté, Marko V. Jarić, Terence Hwa, Karen L. O’Malley and R.D. Todd. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences 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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