Zheng Pan
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Information Systems top 10%
- Media Technology top 10%
- Topics
- Robotic Locomotion and Control (9 papers)Vehicle Dynamics and Control Systems (5 papers)Soil Mechanics and Vehicle Dynamics (5 papers)
- Journals
- IEEE/ASME Transactions on MechatronicsMultimedia Tools and ApplicationsJournal of Parallel and Distributed Computing
- Partner nations
- ChinaUnited KingdomIreland
In The Last Decade
Zheng Pan
22 papers receiving 548 citations
Peers
Comparison fields: 5 of 76
- Computer Vision and Pattern Recognition 330
- Artificial Intelligence 199
- Electrical and Electronic Engineering 62
- Information Systems 58
- Media Technology 46
Countries citing papers authored by Zheng Pan
This map shows the geographic impact of Zheng Pan'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 Zheng Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zheng Pan more than expected).
Fields of papers citing papers by Zheng Pan
This network shows the impact of papers produced by Zheng Pan. 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 Zheng Pan. The network helps show where Zheng Pan may publish in the future.
Co-authorship network of co-authors of Zheng Pan
This figure shows the co-authorship network connecting the top 25 collaborators of Zheng Pan. A scholar is included among the top collaborators of Zheng Pan 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 Zheng Pan. Zheng Pan 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 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 63 | |
| 12 | Multi-Objective Evolutionary Algorithm Based on Decomposition for Energy-aware Scheduling in Heterogeneous Computing Systems. | 12 |
| 13 | 2 | |
| 14 | 42 | |
| 15 | 9 | |
| 16 | 1 | |
| 17 | 15 | |
| 18 | 0 | |
| 19 | 2 | |
| 20 | Research on Six-stance Magnetic Position and Orientation Tracking System | 0 |
About Zheng Pan
Zheng Pan is a scholar working on Computer Graphics and Computer-Aided Design, Automotive Engineering and Computer Vision and Pattern Recognition, having authored 33 papers that have together received 570 indexed citations. Recurring topics across this work include Robotic Locomotion and Control (9 papers), Vehicle Dynamics and Control Systems (5 papers) and Soil Mechanics and Vehicle Dynamics (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (330 citations), Artificial Intelligence (199 citations) and Media Technology (46 citations). Zheng Pan has collaborated with scholars based in China, United Kingdom and Ireland. Frequent co-authors include Shuai Liu, Houbing Song, Xiaochun Cheng, Weina Fu, Jiashi Feng, Xin Li, Yiming Zhou, Khan Muhammad, Arun Kumar Sangaiah and Yunzheng Wang. Their work appears in journals such as IEEE/ASME Transactions on Mechatronics, Multimedia Tools and Applications and Journal of Parallel and Distributed Computing.
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.