Yu Tian

172 total papers · 2.0k total citations
112 papers, 1.3k citations indexed

About

Yu Tian is a scholar working on Artificial Intelligence, Molecular Biology and Health Information Management. According to data from OpenAlex, Yu Tian has authored 112 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 24 papers in Molecular Biology and 23 papers in Health Information Management. Recurrent topics in Yu Tian's work include Machine Learning in Healthcare (21 papers), Artificial Intelligence in Healthcare (16 papers) and AI in cancer detection (12 papers). Yu Tian is often cited by papers focused on Machine Learning in Healthcare (21 papers), Artificial Intelligence in Healthcare (16 papers) and AI in cancer detection (12 papers). Yu Tian collaborates with scholars based in China, United States and Italy. Yu Tian's co-authors include Jingsong Li, Tianshu Zhou, Kefeng Ding, Yu Wang, Pengfei Li, Lili Tian, Jingjing Ren, Mao Zhang, Tingbo Liang and Xiangxing Kong and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

Yu Tian

100 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Yu Tian 330 291 186 163 157 112 1.3k
Petr Vaňhara 230 0.7× 413 1.4× 297 1.6× 94 0.6× 125 0.8× 52 1.5k
Hamid Alinejad‐Rokny 628 1.9× 309 1.1× 85 0.5× 211 1.3× 130 0.8× 104 1.6k
Vincenzo Della Mea 685 2.1× 239 0.8× 193 1.0× 268 1.6× 99 0.6× 122 1.4k
Van-Huy Pham 149 0.5× 265 0.9× 115 0.6× 50 0.3× 77 0.5× 71 1.4k
Huiqun Wu 96 0.3× 273 0.9× 185 1.0× 284 1.7× 73 0.5× 94 1.3k
Chi‐Chang Chang 164 0.5× 526 1.8× 102 0.5× 78 0.5× 119 0.8× 132 1.5k
Shigao Huang 301 0.9× 173 0.6× 188 1.0× 445 2.7× 58 0.4× 46 1.2k
Gil Alterovitz 363 1.1× 713 2.5× 115 0.6× 52 0.3× 124 0.8× 106 1.6k
Hong‐Gee Kim 395 1.2× 340 1.2× 53 0.3× 95 0.6× 72 0.5× 149 1.7k
Tong Li 415 1.3× 341 1.2× 126 0.7× 306 1.9× 90 0.6× 50 1.3k

Countries citing papers authored by Yu Tian

Since Specialization
Citations

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

Fields of papers citing papers by Yu Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Tian

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