Lian-Tao Wang

7.5k total citations
110 papers, 4.1k citations indexed

About

Lian-Tao Wang is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lian-Tao Wang has authored 110 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Nuclear and High Energy Physics, 50 papers in Astronomy and Astrophysics and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Lian-Tao Wang's work include Particle physics theoretical and experimental studies (86 papers), Dark Matter and Cosmic Phenomena (52 papers) and Cosmology and Gravitation Theories (50 papers). Lian-Tao Wang is often cited by papers focused on Particle physics theoretical and experimental studies (86 papers), Dark Matter and Cosmic Phenomena (52 papers) and Cosmology and Gravitation Theories (50 papers). Lian-Tao Wang collaborates with scholars based in United States, China and Switzerland. Lian-Tao Wang's 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 and has published in prestigious journals such as Physical Review Letters, Physics Reports and Nuclear Physics B.

In The Last Decade

Lian-Tao Wang

106 papers receiving 4.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lian-Tao Wang United States 37 3.9k 2.0k 143 134 67 110 4.1k
K. Matchev United States 36 5.1k 1.3× 2.5k 1.3× 114 0.8× 186 1.4× 121 1.8× 104 5.2k
Roberto Ruiz de Austri Spain 28 2.3k 0.6× 1.4k 0.7× 66 0.5× 133 1.0× 41 0.6× 99 2.5k
John Ellis Switzerland 36 5.1k 1.3× 1.8k 0.9× 201 1.4× 65 0.5× 259 3.9× 85 5.3k
Graham D. Kribs United States 40 4.5k 1.1× 2.3k 1.2× 189 1.3× 110 0.8× 218 3.3× 84 4.6k
Mao Zeng United States 25 1.8k 0.5× 1.6k 0.8× 164 1.1× 37 0.3× 228 3.4× 53 2.5k
Christoph Weniger Netherlands 32 2.7k 0.7× 2.2k 1.1× 232 1.6× 112 0.8× 85 1.3× 84 3.1k
F. Boudjema France 34 5.3k 1.3× 3.1k 1.6× 169 1.2× 164 1.2× 64 1.0× 109 5.4k
Martin Schmaltz United States 33 3.8k 1.0× 1.7k 0.9× 169 1.2× 68 0.5× 242 3.6× 57 3.9k
P. Ilten United States 14 2.8k 0.7× 485 0.2× 87 0.6× 211 1.6× 36 0.5× 26 2.9k
W. Porod Germany 31 3.6k 0.9× 913 0.5× 68 0.5× 120 0.9× 33 0.5× 135 3.7k

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
1.
Hu, Qin & Lian-Tao Wang. (2025). HF-D-FINE: High-resolution features enhanced D-FINE for tiny object detection in UAV image. Image and Vision Computing. 165. 105834–105834.
2.
Lu, Z. H., Lian-Tao Wang, & Huangyu Xiao. (2025). A new probe of μHz gravitational waves with FRB timing. Physics of the Dark Universe. 49. 101979–101979. 1 indexed citations
3.
Zheng-li, Li, Lian-Tao Wang, & Xueqing Wu. (2024). Artificial intelligence based virtual gaming experience for sports training and simulation of human motion trajectory capture. Entertainment Computing. 52. 100828–100828. 5 indexed citations
4.
Bahl, Henning, Seth Koren, & Lian-Tao Wang. (2024). Topportunities at the LHC: rare top decays with light singlets. The European Physical Journal C. 84(10). 1 indexed citations
5.
Liu, Da, Lian-Tao Wang, & Ke-Pan Xie. (2024). Composite resonances at a 10 TeV muon collider. Journal of High Energy Physics. 2024(4). 7 indexed citations
6.
Liu, Zhen, et al.. (2024). Top Yukawa coupling determination at high energy muon collider. Physical review. D. 109(3). 13 indexed citations
7.
Brennan, T. Daniel, Sungwoo Hong, & Lian-Tao Wang. (2024). Coupling a Cosmic String to a TQFT. Journal of High Energy Physics. 2024(3). 18 indexed citations
8.
Chiu, Wen-Ta, Sungwoo Hong, & Lian-Tao Wang. (2023). Conformal freeze-in, composite dark photon, and asymmetric reheating. Journal of High Energy Physics. 2023(3). 7 indexed citations
9.
Wang, Lian-Tao. (2023). Gauge boson signals at the cosmological collider. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 42 indexed citations
10.
Liu, Jia, et al.. (2023). ALP explanation to the muon (g−2) and its test at future Tera-Z and Higgs factories. Physical review. D. 107(9). 6 indexed citations
11.
Reece, Matthew, Lian-Tao Wang, & Zhong-Zhi Xianyu. (2023). Large-field inflation and the cosmological collider. Physical review. D. 107(10). 40 indexed citations
12.
Gu, Jiayin, Lian-Tao Wang, & Cen Zhang. (2022). Unambiguously Testing Positivity at Lepton Colliders. Physical Review Letters. 129(1). 11805–11805. 25 indexed citations
13.
Xiao, Chutian, et al.. (2018). Association of doublecortin-like kinase 1 with tumor aggressiveness and poor biochemical recurrence-free survival in prostate cancer. OncoTargets and Therapy. Volume 11. 1077–1086. 8 indexed citations
14.
Low, Matthew & Lian-Tao Wang. (2014). Neutralino Dark Matter at 100 TeV. arXiv (Cornell University). 7 indexed citations
15.
An, Haipeng, Ran Huo, & Lian-Tao Wang. (2014). Searching for Low Mass Dark Portal at the LHC. 26 indexed citations
16.
Han, Tao, David Krohn, Lian-Tao Wang, & Wenhan Zhu. (2010). New physics signals in longitudinal gauge boson scattering at the LHC. Journal of High Energy Physics. 2010(3). 40 indexed citations
17.
Dermíšek, Radovan, Herman Verlinde, & Lian-Tao Wang. (2008). Hypercharged Anomaly Mediation. Physical Review Letters. 100(13). 131804–131804. 15 indexed citations
18.
Kılıç, Can, Lian-Tao Wang, & Itay Yavin. (2007). On the Existence of Angular Correlations in Decays with Heavy Matter Partners. 15 indexed citations
19.
Han, Tao, Heather E. Logan, Bob McElrath, & Lian-Tao Wang. (2003). Loop induced decays of the Little Higgs: H --> gg, gamma gamma. arXiv (Cornell University). 21 indexed citations
20.
Kane, Gordon, et al.. (2003). Theory-motivated benchmark models and superpartners at the Fermilab Tevatron. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 67(4). 27 indexed citations

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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