Shuai Di

582 citations
8 papers · 329 indexed · 1 hit paper · h-index 5
Topics
Advanced Neural Network Applications (4 papers)Video Surveillance and Tracking Methods (3 papers)Advanced Image and Video Retrieval Techniques (2 papers)
Partner nations
ChinaUnited States

In The Last Decade

Shuai Di

8 papers receiving 321 citations

Hit Papers

Trustworthy AI: From Principles to Practices2022202620232024202250100150200

Peers

Shuai Di
Comparison fields: 5 of 80
  • Artificial Intelligence 171
  • Computer Vision and Pattern Recognition 82
  • Safety Research 63
  • Health Informatics 48
  • Automotive Engineering 26
Replace Mir Riyanul Islam with:
Mir Riyanul Islam Sweden
Qizhang Feng United States
Anushka Singh India
Pranjal Kumar India
Jiahao Ding China
Sylvain Bruni United States
Sin Kit Lo Australia
Hengshuai Yao Canada
Luis Miralles‐Pechuán Ireland
Atul Rawal United States
Shuai Di relative to Mir Riyanul Islam Sweden Mir Riyanul Islam's profile →
Citations per field
00.5×
Mir Riyanul Islam · 1×
Citations per year

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

8 of 8 papers shown
#WorkIndexed citations
1
Trustworthy AI: From Principles to Practicesbreakdown →
243
2 1
3 31
4 35
5 5
6 3
7 7
8 4

About Shuai Di

Shuai Di is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Safety Research, having authored 8 papers that have together received 329 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (4 papers), Video Surveillance and Tracking Methods (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Health Informatics (48 citations), Safety Research (63 citations) and Artificial Intelligence (171 citations). Shuai Di has collaborated with scholars based in China and United States. Frequent co-authors include Peng Qi, Jinfeng Yi, Bo Li, Bowen Zhou, Jingen Liu, Bo Liu, Haibin Ling, Honggang Zhang, Chun-Guang Li and Xue Mei. Their work appears in journals such as ACM Computing Surveys, IEEE Transactions on Intelligent Transportation Systems and Advanced materials research.

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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