Keyu Li

1.7k citations
50 papers · 1.1k · 1 hit paper · h-index 16

Impact in

Papers in

Keyu Li

46 papers receiving 1.0k citations

Hit Papers

Planning-oriented Autonomous Driving 2023 · 349 citations
3490+1+2Years since publication100200300

Peers

Keyu Li
Comparison fields: 5 of 109
  • Gastroenterology 104
  • Automotive Engineering 194
  • Computer Vision and Pattern Recognition 279
  • Control and Systems Engineering 198
  • Health Informatics 8
Replace Lujia Wang with:
Lujia Wang Hong Kong
Shane Farritor United States
Yasin Almalıoğlu United Kingdom
Hyun‐Chul Choi South Korea
Mingqiang Lin China
Zhiyong Huang China
Xin Ma China
Guoqing Qi China
Daisuke Deguchi Japan
Hongxing Wei China
Keyu Li relative to Lujia Wang Hong Kong Lujia Wang's profile →
Citations per field
00.5×
Lujia Wang · 1×
Citations per year

Countries citing papers authored by Keyu Li

Since Specialization
Citations

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

Fields of papers citing papers by Keyu Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Keyu Li, 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 Keyu Li Line = papers co-authored together Keyu Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Planning-oriented Autonomous Driving
Hit paper breakdown →
2023349
2 202195
3 201271
4 202049
5 200749
6 201937
7 201632
8 202230
9 201628
10 202127
11 199827
12 202323
13 201622
14 202020
15 202218
16 202216
17 202114
18 202214
19 202013
20 201913

About Keyu Li

Keyu Li is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Gastroenterology, Surgery and Control and Systems Engineering, having authored 50 papers that have together received 1.1k indexed citations. Recurring topics across this work include Gastrointestinal Bleeding Diagnosis and Treatment (10 papers), Soft Robotics and Applications (9 papers), Advanced Control Systems Optimization (7 papers), Gastrointestinal disorders and treatments (6 papers), Advancements in Battery Materials (5 papers), Robotic Path Planning Algorithms (4 papers), Evacuation and Crowd Dynamics (4 papers) and Advanced Battery Materials and Technologies (3 papers). The work is most often cited by research in Gastroenterology (104 citations), Automotive Engineering (194 citations), Computer Vision and Pattern Recognition (279 citations), Control and Systems Engineering (198 citations) and Health Informatics (8 citations). Keyu Li has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Max Q.‐H. Meng, Yangxin Xu, Ziqi Zhao, Yihan Hu, Li Chen, Yu Qiao, Xiaosong Jia, Wenhai Wang, Lewei Lu and Jifeng Dai. Their work appears in journals such as IEEE Transactions on Automation Science and Engineering, Journal of Nanoscience and Nanotechnology, Journal of Process Control, IEEE Transactions on Robotics and IEEE Robotics and Automation Letters.

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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