Keyu Wu

2.0k citations
87 papers · 1.4k · h-index 22

Impact in

Papers in

Keyu Wu

78 papers receiving 1.4k citations

Peers

Keyu Wu
Comparison fields: 5 of 109
  • Computer Vision and Pattern Recognition 407
  • Aerospace Engineering 397
  • Control and Systems Engineering 368
  • Automotive Engineering 113
  • Civil and Structural Engineering 184
Replace Jesús Ureña with:
Jesús Ureña Spain
Yukinori Kobayashi Japan
Shiqiang Zhu China
Huei‐Yung Lin Taiwan
Miao Li China
Ngaiming Kwok Australia
Alessandro Freddi Italy
Bo Li China
Bin Liang China
Tin Lun Lam China
Keyu Wu relative to Jesús Ureña Spain Jesús Ureña's profile →
Citations per field
00.5×
Jesús Ureña · 1×
Citations per year

Countries citing papers authored by Keyu Wu

Since Specialization
Citations

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

Fields of papers citing papers by Keyu Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201599
2 202299
3 202191
4 201677
5 201974
6 201468
7 201967
8 201658
9 201947
10 202144
11 200144
12 202241
13 201940
14 201640
15 202040
16 201829
17 202027
18 201926
19 202222
20 201522

About Keyu Wu

Keyu Wu is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering and Control and Systems Engineering, having authored 87 papers that have together received 1.4k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (15 papers), Robotic Path Planning Algorithms (12 papers), Spacecraft Design and Technology (7 papers), Rocket and propulsion systems research (7 papers), Soft Robotics and Applications (7 papers), Space Exploration and Technology (6 papers), Reinforcement Learning in Robotics (6 papers) and Advanced Vision and Imaging (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (407 citations), Aerospace Engineering (397 citations), Control and Systems Engineering (368 citations), Automotive Engineering (113 citations) and Civil and Structural Engineering (184 citations). Keyu Wu has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Han Wang, Mahdi Abolfazli Esfahani, Shenghai Yuan, Hongliang Ren, Liao Wu, Min Wu, Zhenghua Chen, Xiaoli Li, Christopher J. Brampton and Hyunsun A. Kim. Their work appears in journals such as Journal of Spacecraft and Rockets, Neurocomputing, IEEE Transactions on Industrial Electronics, IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Instrumentation and Measurement.

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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