Huixu Dong
- Control and Systems Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Mechanical Engineering
- Aerospace Engineering top 10%
- Co-authors
- I‐Ming ChenDilip K. PrasadChen QiuEhsan AsadiJian S. DaiChieko AsakawaKris KitaniJoão Guerreiro
- Topics
- Robot Manipulation and Learning (16 papers)Soft Robotics and Applications (10 papers)Image and Object Detection Techniques (9 papers)
- Cited by
- Human-Computer InteractionControl and Systems EngineeringComputer Vision and Pattern Recognition
- Journals
- Pattern RecognitionThe International Journal of Robotics ResearchIEEE Transactions on Intelligent Transportation Systems
- Partner nations
- ChinaSingaporeUnited Kingdom
In The Last Decade
Huixu Dong
32 papers receiving 541 citations
Peers
Comparison fields: 5 of 74
- Control and Systems Engineering 225
- Computer Vision and Pattern Recognition 190
- Biomedical Engineering 178
- Mechanical Engineering 96
- Aerospace Engineering 95
Countries citing papers authored by Huixu Dong
This map shows the geographic impact of Huixu Dong'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 Huixu Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huixu Dong more than expected).
Fields of papers citing papers by Huixu Dong
This network shows the impact of papers produced by Huixu Dong. 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 Huixu Dong. The network helps show where Huixu Dong may publish in the future.
Co-authorship network of co-authors of Huixu Dong
This figure shows the co-authorship network connecting the top 25 collaborators of Huixu Dong. A scholar is included among the top collaborators of Huixu Dong 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 Huixu Dong. Huixu Dong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 7 | |
| 11 | 7 | |
| 12 | 25 | |
| 13 | 13 | |
| 14 | 3 | |
| 15 | 39 | |
| 16 | 112 | |
| 17 | 1 | |
| 18 | 19 | |
| 19 | 20 | |
| 20 | 86 |
About Huixu Dong
Huixu Dong is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Architecture, having authored 36 papers that have together received 547 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (16 papers), Soft Robotics and Applications (10 papers) and Image and Object Detection Techniques (9 papers). The work is most often cited by research in Human-Computer Interaction (63 citations), Control and Systems Engineering (225 citations) and Computer Vision and Pattern Recognition (190 citations). Huixu Dong has collaborated with scholars based in China, Singapore and United Kingdom. Frequent co-authors include I‐Ming Chen, Dilip K. Prasad, Chen Qiu, Ehsan Asadi, Jian S. Dai, Chieko Asakawa, Kris Kitani, João Guerreiro, Daisuke Sato and Haoyong Yu. Their work appears in journals such as Pattern Recognition, The International Journal of Robotics Research and IEEE Transactions on Intelligent Transportation 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.