Lian-Tao Wang
- Nuclear and High Energy Physics top 0.2%
- Astronomy and Astrophysics top 1%
- Atomic and Molecular Physics, and Optics
- Artificial Intelligence top 10%
- Statistical and Nonlinear Physics top 10%
- Co-authors
- Tao HanJesse ThalerMatthew LowAndrew J. LongBob McElrathMatthew ReeceDavid KrohnGordon Kane
- Topics
- Particle physics theoretical and experimental studies (86 papers)Dark Matter and Cosmic Phenomena (52 papers)Cosmology and Gravitation Theories (50 papers)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Lian-Tao Wang
106 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 74
- Nuclear and High Energy Physics 3.9k
- Astronomy and Astrophysics 2.0k
- Atomic and Molecular Physics, and Optics 143
- Artificial Intelligence 134
- Statistical and Nonlinear Physics 67
Countries citing papers authored by Lian-Tao Wang
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 13 | |
| 7 | 18 | |
| 8 | 7 | |
| 9 | 42 | |
| 10 | 6 | |
| 11 | 40 | |
| 12 | 25 | |
| 13 | 8 | |
| 14 | Neutralino Dark Matter at 100 TeV | 7 |
| 15 | Searching for Low Mass Dark Portal at the LHC | 26 |
| 16 | 40 | |
| 17 | 15 | |
| 18 | On the Existence of Angular Correlations in Decays with Heavy Matter Partners | 15 |
| 19 | 21 | |
| 20 | 27 |
About Lian-Tao Wang
Lian-Tao Wang is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Computer Vision and Pattern Recognition, having authored 110 papers that have together received 4.1k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (86 papers), Dark Matter and Cosmic Phenomena (52 papers) and Cosmology and Gravitation Theories (50 papers). The work is most often cited by research in Nuclear and High Energy Physics (3.9k citations), Astronomy and Astrophysics (2.0k citations) and Acoustics and Ultrasonics (5 citations). Lian-Tao Wang has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Tao Han, Jesse Thaler, Matthew Low, Andrew J. Long, Bob McElrath, Matthew Reece, David Krohn, Gordon Kane, Heather E. Logan and Tongyan Lin. Their work appears in journals such as Physical Review Letters, Physics Reports and Nuclear Physics B.
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.