Zhaodan Kong
- Computer Vision and Pattern Recognition top 2%
- Aerospace Engineering top 2%
- Artificial Intelligence top 5%
- Control and Systems Engineering top 5%
- Computer Networks and Communications top 5%
- Co-authors
- Bernard MettlerChad GoerzenAustin JonesCălin BeltaElvira S. de LangeWieke HeldensGang ChenDerya Aksaray
- Topics
- Robotic Path Planning Algorithms (14 papers)Guidance and Control Systems (10 papers)Robotics and Sensor-Based Localization (8 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Automatic ControlScientific Reports
- Partner nations
- United StatesChinaAustria
In The Last Decade
Zhaodan Kong
66 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Computer Vision and Pattern Recognition 656
- Aerospace Engineering 569
- Artificial Intelligence 320
- Control and Systems Engineering 307
- Computer Networks and Communications 233
Countries citing papers authored by Zhaodan Kong
This map shows the geographic impact of Zhaodan Kong'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 Zhaodan Kong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhaodan Kong more than expected).
Fields of papers citing papers by Zhaodan Kong
This network shows the impact of papers produced by Zhaodan Kong. 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 Zhaodan Kong. The network helps show where Zhaodan Kong may publish in the future.
Co-authorship network of co-authors of Zhaodan Kong
This figure shows the co-authorship network connecting the top 25 collaborators of Zhaodan Kong. A scholar is included among the top collaborators of Zhaodan Kong 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 Zhaodan Kong. Zhaodan Kong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 7 | |
| 14 | 3 | |
| 15 | 22 | |
| 16 | 17 | |
| 17 | 1 | |
| 18 | 9 | |
| 19 | 15 | |
| 20 | 14 |
About Zhaodan Kong
Zhaodan Kong is a scholar working on Software, Computer Vision and Pattern Recognition and Developmental Biology, having authored 73 papers that have together received 1.5k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (14 papers), Guidance and Control Systems (10 papers) and Robotics and Sensor-Based Localization (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (656 citations), Aerospace Engineering (569 citations) and Software (85 citations). Zhaodan Kong has collaborated with scholars based in United States, China and Austria. Frequent co-authors include Bernard Mettler, Chad Goerzen, Austin Jones, Călin Belta, Elvira S. de Lange, Wieke Heldens, Gang Chen, Derya Aksaray, Mac Schwager and Xinfan Lin. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Automatic Control and Scientific Reports.
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.