Xijun Zhao
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 10%
- Automotive Engineering top 10%
- Electrical and Electronic Engineering
- Environmental Engineering
- Topics
- Robotics and Sensor-Based Localization (14 papers)Autonomous Vehicle Technology and Safety (11 papers)Advanced Neural Network Applications (8 papers)
- Journals
- IEEE Transactions on Geoscience and Remote SensingMoleculesGeological Society of America Bulletin
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Xijun Zhao
47 papers receiving 310 citations
Peers
Comparison fields: 5 of 59
- Computer Vision and Pattern Recognition 148
- Aerospace Engineering 92
- Automotive Engineering 91
- Electrical and Electronic Engineering 59
- Environmental Engineering 58
Countries citing papers authored by Xijun Zhao
This map shows the geographic impact of Xijun Zhao'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 Xijun Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xijun Zhao more than expected).
Fields of papers citing papers by Xijun Zhao
This network shows the impact of papers produced by Xijun Zhao. 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 Xijun Zhao. The network helps show where Xijun Zhao may publish in the future.
Co-authorship network of co-authors of Xijun Zhao
This figure shows the co-authorship network connecting the top 25 collaborators of Xijun Zhao. A scholar is included among the top collaborators of Xijun Zhao 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 Xijun Zhao. Xijun Zhao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 6 | |
| 11 | 5 | |
| 12 | 2 | |
| 13 | 12 | |
| 14 | 4 | |
| 15 | 12 | |
| 16 | 4 | |
| 17 | Quantum genetic algorithm based clustering approach | 2 |
| 18 | 3 | |
| 19 | 12 | |
| 20 | Application of improved quantum genetic algorithm in PID parameter tuning | 3 |
About Xijun Zhao
Xijun Zhao is a scholar working on Automotive Engineering, Geology and Computer Vision and Pattern Recognition, having authored 53 papers that have together received 329 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (14 papers), Autonomous Vehicle Technology and Safety (11 papers) and Advanced Neural Network Applications (8 papers). The work is most often cited by research in Automotive Engineering (91 citations), Computer Vision and Pattern Recognition (148 citations) and Geology (36 citations). Xijun Zhao has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Huijing Zhao, Wen Yao, Biao Gao, Donghao Xu, Jilin Mei, Huiyan Chen, Hongbin Zha, Xiaoming Yang, Yang Wang and Zhiyu Xiang. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Molecules and Geological Society of America Bulletin.
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.