William Wu

777 citations
5 papers · 534 indexed · h-index 5
Topics
Robotics and Sensor-Based Localization (5 papers)Robotic Path Planning Algorithms (5 papers)Control and Dynamics of Mobile Robots (2 papers)
Journals
IEEE Robotics and Automation LettersJournal of Field RoboticsRare & Special e-Zone (The Hong Kong University of Science and Technology)
Partner nations
Hong KongUnited States

In The Last Decade

William Wu

5 papers receiving 520 citations

Peers

William Wu
Comparison fields: 5 of 39
  • Computer Vision and Pattern Recognition 430
  • Aerospace Engineering 401
  • Control and Systems Engineering 121
  • Automotive Engineering 64
  • Geology 64
Replace Tianbo Liu with:
Tianbo Liu Hong Kong
Wenliang Gao Hong Kong
Vojtěch Spurný Czechia
Olov Andersson Sweden
Lucas Teixeira Switzerland
Muqing Cao Singapore
Jeffrey Byrne United States
Zehui Meng Singapore
Albert Diosi France
William Wu relative to Tianbo Liu Hong Kong Tianbo Liu's profile →
Citations per field
00.5×1.5×1.9×
Tianbo Liu · 1×
Citations per year

Countries citing papers authored by William Wu

Since Specialization
Citations

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

Fields of papers citing papers by William Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Wu

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

All Works

5 of 5 papers shown
#WorkIndexed citations
1 19
2 112
3 40
4 185
5 178

About William Wu

William Wu is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Control and Systems Engineering, having authored 5 papers that have together received 534 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (5 papers), Robotic Path Planning Algorithms (5 papers) and Control and Dynamics of Mobile Robots (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (430 citations), Aerospace Engineering (401 citations) and Geology (64 citations). William Wu has collaborated with scholars based in Hong Kong and United States. Frequent co-authors include Fei Gao, Shaojie Shen, Yi Lin, Wenliang Gao, Tong Qin, Tianbo Liu, Zhenfei Yang, Boyu Zhou, Jie Pan and Luqi Wang. Their work appears in journals such as IEEE Robotics and Automation Letters, Journal of Field Robotics and Rare & Special e-Zone (The Hong Kong University of Science and Technology).

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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