Han Shi

30 total papers · 488 total citations
11 papers, 91 citations indexed

About

Han Shi is a scholar working on Artificial Intelligence, Social Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Han Shi has authored 11 papers receiving a total of 91 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Social Psychology and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Han Shi's work include Advanced Graph Neural Networks (3 papers), Topic Modeling (2 papers) and Formal Methods in Verification (2 papers). Han Shi is often cited by papers focused on Advanced Graph Neural Networks (3 papers), Topic Modeling (2 papers) and Formal Methods in Verification (2 papers). Han Shi collaborates with scholars based in China, United Kingdom and United States. Han Shi's co-authors include Dongmei Zhang, Lei Bu, Chieh-Jan Mike Liang, Börje F. Karlsson, Feng Zhao, Shan Lin, Wenjie Xiong, Xuandong Li, James T. Kwok and Hang Xu and has published in prestigious journals such as Biological Trace Element Research, European Journal of Education and ACM Transactions on Cyber-Physical Systems.

In The Last Decade

Han Shi

11 papers receiving 87 citations

Author Peers

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

Author Last Decade Papers Cites
Han Shi 37 26 24 23 21 11 91
Peter C. Dillinger 47 1.3× 30 1.2× 24 1.0× 11 0.5× 16 0.8× 12 104
María Lomelí 40 1.1× 41 1.6× 7 0.3× 13 0.6× 14 0.7× 11 115
Daniel J. Fremont 68 1.8× 31 1.2× 15 0.6× 14 0.6× 15 0.7× 10 119
Kerry Shih-Ping Chang 11 0.3× 36 1.4× 16 0.7× 6 0.3× 35 1.7× 11 105
Max Hort 107 2.9× 15 0.6× 12 0.5× 5 0.2× 29 1.4× 16 218
Nicolas Palix 39 1.1× 49 1.9× 12 0.5× 25 1.1× 53 2.5× 12 102
Julien Iguchi-Cartigny 43 1.2× 14 0.5× 5 0.2× 32 1.4× 25 1.2× 10 79
Ximeng Sun 54 1.5× 22 0.8× 83 3.5× 11 0.5× 16 0.8× 11 138
Vegard Engen 71 1.9× 7 0.3× 5 0.2× 28 1.2× 68 3.2× 11 127
Henning Heitkötter 56 1.5× 43 1.7× 10 0.4× 11 0.5× 16 0.8× 8 120

Countries citing papers authored by Han Shi

Since Specialization
Citations

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

Fields of papers citing papers by Han Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Han Shi

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