Tianyi Tang

40 total papers · 521 total citations
25 papers, 384 citations indexed

About

Tianyi Tang is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering and Biomedical Engineering. According to data from OpenAlex, Tianyi Tang has authored 25 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 9 papers in Mechanical Engineering and 9 papers in Biomedical Engineering. Recurrent topics in Tianyi Tang's work include Innovative Energy Harvesting Technologies (8 papers), Energy Harvesting in Wireless Networks (7 papers) and Advanced Sensor and Energy Harvesting Materials (6 papers). Tianyi Tang is often cited by papers focused on Innovative Energy Harvesting Technologies (8 papers), Energy Harvesting in Wireless Networks (7 papers) and Advanced Sensor and Energy Harvesting Materials (6 papers). Tianyi Tang collaborates with scholars based in China, Singapore and Canada. Tianyi Tang's co-authors include Huicong Liu, Lining Sun, Tao Chen, Chengkuo Lee, Zhan Yang, Cheng Hou, Yunfei Li, Yunfei Li, Manjuan Huang and Feng Wen and has published in prestigious journals such as ACS Nano, Renewable and Sustainable Energy Reviews and Applied Energy.

In The Last Decade

Tianyi Tang

24 papers receiving 377 citations

Author Peers

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

Author Last Decade Papers Cites
Tianyi Tang 213 136 119 73 67 25 384
Zehua Chen 250 1.2× 121 0.9× 75 0.6× 78 1.1× 40 0.6× 25 392
Tao Sun 189 0.9× 114 0.8× 93 0.8× 51 0.7× 78 1.2× 32 412
Seok Kim 252 1.2× 85 0.6× 133 1.1× 51 0.7× 26 0.4× 22 413
Jiangtao Yang 172 0.8× 105 0.8× 88 0.7× 42 0.6× 37 0.6× 20 350
Jiawen Zhang 151 0.7× 72 0.5× 99 0.8× 62 0.8× 35 0.5× 32 350
Chenghui Qian 212 1.0× 145 1.1× 95 0.8× 72 1.0× 35 0.5× 22 365
Liming Chen 152 0.7× 115 0.8× 197 1.7× 49 0.7× 42 0.6× 18 408
Jaeyoung Yoon 345 1.6× 94 0.7× 124 1.0× 106 1.5× 116 1.7× 16 401
Emir A. Vela 331 1.6× 86 0.6× 84 0.7× 104 1.4× 48 0.7× 34 435
Manjuan Huang 242 1.1× 185 1.4× 231 1.9× 90 1.2× 52 0.8× 16 403

Countries citing papers authored by Tianyi Tang

Since Specialization
Citations

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

Fields of papers citing papers by Tianyi Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianyi Tang

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