Tianyao Wang

119 total papers · 1.5k total citations
84 papers, 1.1k citations indexed

About

Tianyao Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Materials Chemistry and Epidemiology. According to data from OpenAlex, Tianyao Wang has authored 84 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Radiology, Nuclear Medicine and Imaging, 22 papers in Materials Chemistry and 11 papers in Epidemiology. Recurrent topics in Tianyao Wang's work include Advanced Neuroimaging Techniques and Applications (13 papers), Fusion materials and technologies (12 papers) and Advanced MRI Techniques and Applications (11 papers). Tianyao Wang is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (13 papers), Fusion materials and technologies (12 papers) and Advanced MRI Techniques and Applications (11 papers). Tianyao Wang collaborates with scholars based in China, United States and Japan. Tianyao Wang's co-authors include Lin Shao, M. Nastasi, Bai Cui, Yongfeng Lu, Yaqiao Wu, Fei Wang, Xueliang Yan, Jonathan Gigax, Hyosim Kim and Tianzi Jiang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Tianyao Wang

75 papers receiving 1.1k citations

Hit Papers

Irradiation damage in (Zr... 2020 2026 2022 2024 2020 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Tianyao Wang 356 240 207 156 96 84 1.1k
Guanglei Wang 144 0.4× 278 1.2× 138 0.7× 101 0.6× 197 2.1× 69 997
Zhiwei Huang 342 1.0× 426 1.8× 59 0.3× 163 1.0× 102 1.1× 82 1.2k
Ryoji Watanabe 385 1.1× 317 1.3× 134 0.6× 135 0.9× 13 0.1× 120 1.1k
K. Kamada 390 1.1× 107 0.4× 199 1.0× 64 0.4× 12 0.1× 87 1.4k
Sandeep Bhat 234 0.7× 165 0.7× 316 1.5× 38 0.2× 58 0.6× 64 1.1k
D. Bernardi 333 0.9× 83 0.3× 90 0.4× 299 1.9× 7 0.1× 83 1.2k
Chengxin Li 236 0.7× 84 0.3× 22 0.1× 125 0.8× 31 0.3× 115 1.4k
Yudong Liu 455 1.3× 336 1.4× 160 0.8× 166 1.1× 108 1.1× 73 1.3k
Yeon Soo Kim 366 1.0× 132 0.6× 142 0.7× 115 0.7× 17 0.2× 72 1.4k
Kaidi Wang 190 0.5× 98 0.4× 229 1.1× 44 0.3× 46 0.5× 47 927

Countries citing papers authored by Tianyao Wang

Since Specialization
Citations

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

Fields of papers citing papers by Tianyao Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianyao Wang

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