Yingwei Li

1.5k total citations · 1 hit paper
15 papers, 568 citations indexed

About

Yingwei Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Automotive Engineering. According to data from OpenAlex, Yingwei Li has authored 15 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 2 papers in Automotive Engineering. Recurrent topics in Yingwei Li's work include Advanced Neural Network Applications (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Video Surveillance and Tracking Methods (3 papers). Yingwei Li is often cited by papers focused on Advanced Neural Network Applications (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Video Surveillance and Tracking Methods (3 papers). Yingwei Li collaborates with scholars based in United States, China and United Kingdom. Yingwei Li's co-authors include Alan Yuille, Yifeng Lu, Ben Caine, Jiquan Ngiam, Denny Zhou, Adams Wei Yu, Tianjian Meng, Quoc V. Le, Daiyi Peng and Junyang Shen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Systems Man and Cybernetics Systems and Lecture notes in computer science.

In The Last Decade

Yingwei Li

13 papers receiving 550 citations

Hit Papers

DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D O... 2022 2026 2023 2024 2022 100 200 300

Peers

Yingwei Li
Comparison fields: 5 of 62
  • Computer Vision and Pattern Recognition 392
  • Artificial Intelligence 215
  • Aerospace Engineering 139
  • Environmental Engineering 55
  • Biomedical Engineering 46
Replace Tianjian Meng with:
Tianjian Meng United States
Kuan Fang United States
Junyang Shen United States
Wenzhao Zheng China
Qingqiu Huang China
Yurong You United States
Rohan Chandra United States
Wenwei Zhang China
Yohann Cabon South Korea
Wei Ke China
Tianjian Meng United States View profile →
Citations per field, relative to Yingwei Li
Yingwei Li · 1×
Citations per year, relative to Yingwei Li
Yingwei Li · 1×

Countries citing papers authored by Yingwei Li

Since Specialization
Citations

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

Fields of papers citing papers by Yingwei Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingwei Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yingwei Li. A scholar is included among the top collaborators of Yingwei Li 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 Yingwei Li. Yingwei Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1 0
2 4
3 3
4 0
5 8
6 54
7 18
8 29
9 11
10
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection breakdown →
301
11 2
12 66
13 45
14 13
15 14

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