Dewei Yi

29 papers receiving 907 citations

Peers

Dewei Yi
Comparison fields: 5 of 100
  • Automotive Engineering 220
  • Computer Vision and Pattern Recognition 174
  • Analytical Chemistry 63
  • Safety, Risk, Reliability and Quality 58
  • Information Systems 134
Replace Anton Satria Prabuwono with:
Anton Satria Prabuwono Malaysia
Mizanur Rahman United States
T. Umer Pakistan
Edwin Sybingco Philippines
Wenqiang Xu China
R. Santhana Krishnan India
Adem Tuncer Türkiye
Haitao Xu China
Lingling Fan China
Prakash Ranganathan United States
Dewei Yi relative to Anton Satria Prabuwono Malaysia Anton Satria Prabuwono's profile →
Citations per field
00.5×4.3×
Anton Satria Prabuwono · 1×
Citations per year

Countries citing papers authored by Dewei Yi

Since Specialization
Citations

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

Fields of papers citing papers by Dewei Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dewei Yi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dewei Yi Line = papers co-authored together Dewei Yi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020153
2 2022137
3 2020133
4 201973
5 202159
6 201856
7 201651
8 201742
9 201740
10 201940
11 202137
12 202223
13 202417
14 201813
15 201910
16 202110
17 20237
18 20167
19 20216
20 20226

About Dewei Yi

Dewei Yi is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Artificial Intelligence, Electrical and Electronic Engineering and Social Psychology, having authored 31 papers that have together received 946 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (6 papers), Advanced Neural Network Applications (5 papers), Smart Agriculture and AI (4 papers), Domain Adaptation and Few-Shot Learning (3 papers), Video Surveillance and Tracking Methods (3 papers), Human-Automation Interaction and Safety (3 papers), Traffic Prediction and Management Techniques (3 papers) and Traffic and Road Safety (2 papers). The work is most often cited by research in Automotive Engineering (220 citations), Computer Vision and Pattern Recognition (174 citations), Analytical Chemistry (63 citations), Safety, Risk, Reliability and Quality (58 citations) and Information Systems (134 citations). Dewei Yi has collaborated with scholars based in United Kingdom, China and Canada. Frequent co-authors include Jinya Su, Wen‐Hua Chen, Cunjia Liu, Mehrdad Dianati, Alexandros Mouzakitis, Yining Hua, Hanwu Yang, Lei Guo, Mohammed Quddus and Hui Fang. Their work appears in journals such as IEEE Transactions on Industrial Informatics, Neurocomputing, IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on Systems Man and Cybernetics Systems and IEEE Transactions on Cognitive and Developmental Systems.

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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