Lian-Tao Wang

2.4k total citations
21 papers, 1.2k citations indexed

About

Lian-Tao Wang is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Lian-Tao Wang has authored 21 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Nuclear and High Energy Physics, 9 papers in Astronomy and Astrophysics and 2 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Lian-Tao Wang's work include Particle physics theoretical and experimental studies (20 papers), Dark Matter and Cosmic Phenomena (12 papers) and Cosmology and Gravitation Theories (9 papers). Lian-Tao Wang is often cited by papers focused on Particle physics theoretical and experimental studies (20 papers), Dark Matter and Cosmic Phenomena (12 papers) and Cosmology and Gravitation Theories (9 papers). Lian-Tao Wang collaborates with scholars based in United States, South Korea and China. Lian-Tao Wang's co-authors include Itay Yavin, Joshua T. Ruderman, Clifford Cheung, Zhen Liu, Carlos E. M. Wagner, Andrea Tesi, Matthew Low, Stefania Gori, Matthew Baumgart and Gordon Kane and has published in prestigious journals such as Physical Review Letters, Nature Physics and Journal of High Energy Physics.

In The Last Decade

Lian-Tao Wang

21 papers receiving 1.2k citations

Peers

Lian-Tao Wang
Comparison fields: 5 of 23
  • Nuclear and High Energy Physics 1.2k
  • Astronomy and Astrophysics 515
  • Atomic and Molecular Physics, and Optics 54
  • Artificial Intelligence 35
  • Electrical and Electronic Engineering 17
Replace Rachid Benbrik with:
Rachid Benbrik Morocco
Andrea Thamm Italy
Chris Kelso United States
Ken Mimasu United Kingdom
Andreas Goudelis France
Yeong Gyun Kim South Korea
Jae Sik Lee South Korea
Jeonghyeon Song South Korea
Peisi Huang United States
Sebastian Trojanowski Poland
Rachid Benbrik Morocco View profile →
Citations per field, relative to Lian-Tao Wang
Lian-Tao Wang · 1×
Citations per year, relative to Lian-Tao Wang
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Countries citing papers authored by Lian-Tao Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lian-Tao Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lian-Tao Wang. 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 Lian-Tao Wang. The network helps show where Lian-Tao Wang may publish in the future.

Co-authorship network of co-authors of Lian-Tao Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Lian-Tao Wang. A scholar is included among the top collaborators of Lian-Tao Wang 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 Lian-Tao Wang. Lian-Tao Wang 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
# Work Indexed citations
1 7
2 4
3 44
4 43
5 35
6 112
7 20
8 41
9 123
10 61
11 18
12 54
13 26
14 174
15 122
16 41
17 24
18 93
19 83
20 30

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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