Tian-Wei Wu

27 total papers · 517 total citations
13 papers, 363 citations indexed

About

Tian-Wei Wu is a scholar working on Nuclear and High Energy Physics, Condensed Matter Physics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Tian-Wei Wu has authored 13 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Nuclear and High Energy Physics, 2 papers in Condensed Matter Physics and 2 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Tian-Wei Wu's work include Quantum Chromodynamics and Particle Interactions (13 papers), Particle physics theoretical and experimental studies (12 papers) and High-Energy Particle Collisions Research (9 papers). Tian-Wei Wu is often cited by papers focused on Quantum Chromodynamics and Particle Interactions (13 papers), Particle physics theoretical and experimental studies (12 papers) and High-Energy Particle Collisions Research (9 papers). Tian-Wei Wu collaborates with scholars based in China and France. Tian-Wei Wu's co-authors include Li‐Sheng Geng, Ming-Zhu Liu, Manuel Pavón Valderrama, Ju-Jun Xie, Ya-Wen Pan, Yong-Liang Ma, Si-Qiang Luo, Xiang Liu, Mario Sánchez Sánchez and Jun-Xu Lu and has published in prestigious journals such as Physics Reports, Physical review. D and The European Physical Journal C.

In The Last Decade

Tian-Wei Wu

13 papers receiving 356 citations

Hit Papers

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Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tian-Wei Wu 348 51 22 10 9 13 363
Á. Mócsy 379 1.1× 36 0.7× 31 1.4× 4 0.4× 5 0.6× 9 395
Hao Xu 310 0.9× 39 0.8× 15 0.7× 12 1.2× 8 0.9× 19 319
Alessandro Giachino 376 1.1× 42 0.8× 19 0.9× 14 1.4× 6 0.7× 17 382
J.-F. Lagaë 374 1.1× 34 0.7× 44 2.0× 2 0.2× 9 1.0× 16 382
G. Lynch 359 1.0× 34 0.7× 11 0.5× 26 2.6× 8 0.9× 15 393
M. Fukugita 361 1.0× 32 0.6× 45 2.0× 4 0.4× 3 0.3× 8 373
Y. Iwasaki 376 1.1× 30 0.6× 76 3.5× 5 0.5× 11 1.2× 21 400
C. Sabelli 291 0.8× 28 0.5× 13 0.6× 11 1.1× 5 0.6× 9 299
Shunsuke Ohkoda 298 0.9× 47 0.9× 25 1.1× 9 0.9× 4 0.4× 10 305
Carlos Abellán Beteta 281 0.8× 32 0.6× 9 0.4× 7 0.7× 6 0.7× 14 293

Countries citing papers authored by Tian-Wei Wu

Since Specialization
Citations

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

Fields of papers citing papers by Tian-Wei Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tian-Wei Wu. 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 Tian-Wei Wu. The network helps show where Tian-Wei Wu may publish in the future.

Co-authorship network of co-authors of Tian-Wei Wu

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

All Works

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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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