Tengfei Shi

27 total papers · 618 total citations
15 papers, 318 citations indexed

About

Tengfei Shi is a scholar working on Artificial Intelligence, Sociology and Political Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Tengfei Shi has authored 15 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Sociology and Political Science and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Tengfei Shi's work include Visual Attention and Saliency Detection (4 papers), Digital Games and Media (3 papers) and Artificial Intelligence in Games (3 papers). Tengfei Shi is often cited by papers focused on Visual Attention and Saliency Detection (4 papers), Digital Games and Media (3 papers) and Artificial Intelligence in Games (3 papers). Tengfei Shi collaborates with scholars based in China, Australia and Canada. Tengfei Shi's co-authors include Qiang Fu, Bei Shi, Deheng Ye, Lanxiao Huang, Liang Wang, Wei Yang, Peilin Zhao, Mingfei Sun, Hongsheng Yu and Jinyan Li and has published in prestigious journals such as Neurocomputing, IEEE Transactions on Neural Networks and Learning Systems and NDT & E International.

In The Last Decade

Tengfei Shi

12 papers receiving 311 citations

Author Peers

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

Author Last Decade Papers Cites
Tengfei Shi 187 67 49 43 43 15 318
Lanxiao Huang 153 0.8× 43 0.6× 53 1.1× 31 0.7× 24 0.6× 7 252
Shaojie Yang 151 0.8× 45 0.7× 58 1.2× 24 0.6× 29 0.7× 19 338
Md. Manjur Ahmed 133 0.7× 57 0.9× 45 0.9× 19 0.4× 55 1.3× 22 360
Mingfei Sun 153 0.8× 45 0.7× 38 0.8× 32 0.7× 8 0.2× 14 296
Tianxi Ji 205 1.1× 49 0.7× 122 2.5× 20 0.5× 93 2.2× 24 354
Peter Sunehag 218 1.2× 45 0.7× 86 1.8× 24 0.6× 11 0.3× 26 332
Nagat Drawel 126 0.7× 27 0.4× 38 0.8× 47 1.1× 34 0.8× 12 261
Steve Rabin 205 1.1× 105 1.6× 55 1.1× 55 1.3× 16 0.4× 15 345
Hassan Nazeer Chaudhry 126 0.7× 76 1.1× 87 1.8× 20 0.5× 26 0.6× 21 266
Diletta Chiaro 215 1.1× 42 0.6× 67 1.4× 18 0.4× 54 1.3× 23 341

Countries citing papers authored by Tengfei Shi

Since Specialization
Citations

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

Fields of papers citing papers by Tengfei Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tengfei Shi

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