Shuai Di

15 total papers · 564 total citations
8 papers, 313 citations indexed

About

Shuai Di is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Artificial Intelligence. According to data from OpenAlex, Shuai Di has authored 8 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 2 papers in Automotive Engineering and 2 papers in Artificial Intelligence. Recurrent topics in Shuai Di's work include Advanced Neural Network Applications (4 papers), Video Surveillance and Tracking Methods (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Shuai Di is often cited by papers focused on Advanced Neural Network Applications (4 papers), Video Surveillance and Tracking Methods (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Shuai Di collaborates with scholars based in China and United States. Shuai Di's co-authors include Jingen Liu, Jinfeng Yi, Bo Li, Peng Qi, Bo Liu, Bowen Zhou, Honggang Zhang, Haibin Ling, Chun-Guang Li and Xue Mei and has published in prestigious journals such as ACM Computing Surveys, IEEE Transactions on Intelligent Transportation Systems and Advanced materials research.

In The Last Decade

Shuai Di

8 papers receiving 305 citations

Hit Papers

Trustworthy AI: From Prin... 2022 2026 2023 2024 2022 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Trustworthy AI: From Principles to Practices
    2022 229 citations Bo Li, Peng Qi et al. ACM Computing Surveys profile →

Author Peers

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

Author Last Decade Papers Cites
Shuai Di 165 80 62 48 25 8 313
José Bobes-Bascarán 150 0.9× 33 0.4× 31 0.5× 57 1.2× 20 0.8× 7 353
Siyu Yu 76 0.5× 33 0.4× 19 0.3× 15 0.3× 22 0.9× 8 264
Mir Riyanul Islam 147 0.9× 22 0.3× 18 0.3× 31 0.6× 30 1.2× 12 298
Bo Liu 154 0.9× 14 0.2× 62 1.0× 48 1.0× 31 1.2× 10 242
Luisa Zintgraf 151 0.9× 53 0.7× 12 0.2× 13 0.3× 13 0.5× 14 312
Qizhang Feng 147 0.9× 31 0.4× 8 0.1× 36 0.8× 43 1.7× 12 316
Daniel Harborne 163 1.0× 29 0.4× 9 0.1× 19 0.4× 26 1.0× 10 315
Doris Xin 167 1.0× 55 0.7× 20 0.3× 10 0.2× 61 2.4× 10 291
Yue Zhou 86 0.5× 81 1.0× 16 0.3× 10 0.2× 77 3.1× 13 306
Muhammad Rehman Zafar 108 0.7× 21 0.3× 7 0.1× 23 0.5× 20 0.8× 4 216

Countries citing papers authored by Shuai Di

Since Specialization
Citations

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

Fields of papers citing papers by Shuai Di

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuai Di

This figure shows the co-authorship network connecting the top 25 collaborators of Shuai Di. A scholar is included among the top collaborators of Shuai Di 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 Shuai Di. Shuai Di 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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2026