T. Wang

12.4k total citations
2 papers, 3 citations indexed

About

T. Wang is a scholar working on Computer Networks and Communications, Computational Mechanics and Mechanical Engineering. According to data from OpenAlex, T. Wang has authored 2 papers receiving a total of 3 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Computer Networks and Communications, 1 paper in Computational Mechanics and 1 paper in Mechanical Engineering. Recurrent topics in T. Wang's work include Particle physics theoretical and experimental studies (1 paper), Characterization and Applications of Magnetic Nanoparticles (1 paper) and Distributed and Parallel Computing Systems (1 paper). T. Wang is often cited by papers focused on Particle physics theoretical and experimental studies (1 paper), Characterization and Applications of Magnetic Nanoparticles (1 paper) and Distributed and Parallel Computing Systems (1 paper). T. Wang collaborates with scholars based in United States, South Korea and Germany. T. Wang's co-authors include Youwen Sun, N. Leuthold, S.K. Kim, A. Vossen, Mu‐Han Lin, David B. Weisberg, Pengcheng Xie, C. Paz-Soldan, W. Guan and Jong-Kyu Park and has published in prestigious journals such as Nuclear Fusion and Journal of Instrumentation.

In The Last Decade

T. Wang

2 papers receiving 3 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. Wang United States 2 1 1 1 1 1 2 3
Yusuke Inoue Japan 1 2 2
H. R. Qi China 2 1 1.0× 6 3
Y. R. Hou China 2 1 1.0× 1 1.0× 10 4
M. Velasco Italy 2 1 1.0× 2 2
J. Chu China 2 2 2
Liu Zhao-feng China 1 1 1.0× 2 2
Marina Fayzullina United States 2 2 2
Y. Zeng China 2 1 1.0× 1 1.0× 4 3
S. Garni Switzerland 1 2 4
Q. P. Ji China 2 1 1.0× 2 3

Countries citing papers authored by T. Wang

Since Specialization
Citations

This map shows the geographic impact of T. 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 T. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Wang more than expected).

Fields of papers citing papers by T. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Wang

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

All Works

2 of 2 papers shown
1.
Logan, N.C., S.K. Kim, S.M. Yang, et al.. (2025). Metrics and extrapolation of resonant magnetic perturbation thresholds for ELM suppression. Nuclear Fusion. 65(7). 76029–76029. 1 indexed citations
2.
Fanelli, C., Lino Oscar Gerlach, W. Guan, et al.. (2024). AI-assisted detector design for the EIC (AID(2)E). Journal of Instrumentation. 19(7). C07001–C07001. 2 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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