Tai Wang

82 total papers · 1.1k total citations
50 papers, 785 citations indexed

About

Tai Wang is a scholar working on Computational Mechanics, Mechanical Engineering and Biomedical Engineering. According to data from OpenAlex, Tai Wang has authored 50 papers receiving a total of 785 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computational Mechanics, 19 papers in Mechanical Engineering and 16 papers in Biomedical Engineering. Recurrent topics in Tai Wang's work include Fluid Dynamics and Heat Transfer (8 papers), Heat Transfer and Boiling Studies (7 papers) and Heat transfer and supercritical fluids (6 papers). Tai Wang is often cited by papers focused on Fluid Dynamics and Heat Transfer (8 papers), Heat Transfer and Boiling Studies (7 papers) and Heat transfer and supercritical fluids (6 papers). Tai Wang collaborates with scholars based in China, Japan and Nigeria. Tai Wang's co-authors include Huixiong Li, Yongchang Feng, Liangxing Li, Yifan Zhang, Xianliang Lei, Jianfu Zhao, Kaikai Guo, Shuiqing Yu, Hong He and Sunusi Marwana Manladan and has published in prestigious journals such as Scientific Reports, The Journal of Physical Chemistry C and Physical Chemistry Chemical Physics.

In The Last Decade

Tai Wang

46 papers receiving 758 citations

Author Peers

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

Author						Papers	Cites
Tai Wang	385	363	289	134	99	50	785
Hsiao-Kang Ma	139 0.4×	352 1.0×	354 1.2×	158 1.2×	210 2.1×	43	783
Mohammad Zabetian Targhi	163 0.4×	404 1.1×	267 0.9×	34 0.3×	93 0.9×	67	734
Junfeng Wang	212 0.6×	476 1.3×	152 0.5×	110 0.8×	61 0.6×	48	696
Rui Liu	94 0.2×	228 0.6×	169 0.6×	78 0.6×	159 1.6×	60	757
Arganthaël Berson	256 0.7×	238 0.7×	240 0.8×	108 0.8×	339 3.4×	50	888
Moo-Hwan Kim	329 0.9×	390 1.1×	426 1.5×	83 0.6×	163 1.6×	42	811
June Kee Min	209 0.5×	559 1.5×	154 0.5×	129 1.0×	88 0.9×	63	753
Alexander S. Rattner	240 0.6×	557 1.5×	155 0.5×	70 0.5×	142 1.4×	45	868
Tieyu Gao	317 0.8×	584 1.6×	116 0.4×	238 1.8×	157 1.6×	67	886
Dinghua Hu	205 0.5×	297 0.8×	79 0.3×	107 0.8×	147 1.5×	33	637

Countries citing papers authored by Tai Wang

Since Specialization

Citations

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

Fields of papers citing papers by Tai Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tai Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Tai Wang. A scholar is included among the top collaborators of Tai 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 Tai Wang. Tai Wang 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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