Zike Yan
Impact in
-
- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- Optical measurement and interference techniques
- Image and Object Detection Techniques
- Advanced Neural Network Applications
- Robotic Path Planning Algorithms
- Geology top 10%
- 3D Surveying and Cultural Heritage
Papers in
-
- Advanced Vision and Imaging 13
- Optical measurement and interference techniques 3
- Advanced Image and Video Retrieval Techniques 2
-
- Robotics and Sensor-Based Localization 9
- Co-authors
- Hongbin Zha (11 shared papers)Fei Xue (4 shared papers)Xin Wang (5 shared papers)Shunkai Li (2 shared papers)Junqiu Wang (2 shared papers)Ping Guo (1 shared paper)Peng Wang (1 shared paper)Xuesong Shi (1 shared paper)
- Journals
- IEEE Robotics and Automation Letters (2 papers)IEEE Transactions on Robotics (1 paper)Virtual Reality & Intelligent Hardware (1 paper)IEEE Conference Proceedings (1 paper)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Zike Yan
13 papers receiving 241 citations
Peers
Comparison fields: 5 of 28
- Computer Vision and Pattern Recognition 201
- Geology 54
- Aerospace Engineering 164
- Media Technology 18
- Computer Graphics and Computer-Aided Design 4
Countries citing papers authored by Zike Yan
This map shows the geographic impact of Zike Yan'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 Zike Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zike Yan more than expected).
Fields of papers citing papers by Zike Yan
This network shows the impact of papers produced by Zike Yan. 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 Zike Yan. The network helps show where Zike Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Zike Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 50 | |
| 2 | 2019 | 49 | |
| 3 | 2019 | 42 | |
| 4 | 2021 | 38 | |
| 5 | 2021 | 23 | |
| 6 | 2023 | 12 | |
| 7 | 2019 | 10 | |
| 8 | 2025 | 6 | |
| 9 | 2024 | 4 | |
| 10 | 2021 | 3 | |
| 11 | 2022 | 2 | |
| 12 | 2024 | 2 | |
| 13 | 2016 | 2 | |
| 14 | 2016 | 1 | |
| 15 | 2025 | 0 | |
| 16 | 2024 | 0 | |
| 17 | 2024 | 0 |
About Zike Yan
Zike Yan is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Media Technology, Computational Mechanics and Control and Systems Engineering, having authored 17 papers that have together received 244 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (13 papers), Robotics and Sensor-Based Localization (9 papers), Optical measurement and interference techniques (3 papers), Advanced Image and Video Retrieval Techniques (2 papers), Image Processing Techniques and Applications (2 papers), 3D Shape Modeling and Analysis (2 papers), 3D Surveying and Cultural Heritage (1 paper) and Robotic Mechanisms and Dynamics (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (201 citations), Geology (54 citations), Aerospace Engineering (164 citations), Media Technology (18 citations) and Computer Graphics and Computer-Aided Design (4 citations). Zike Yan has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Hongbin Zha, Fei Xue, Xin Wang, Shunkai Li, Junqiu Wang, Ping Guo, Peng Wang, Xuesong Shi, Xuezhi Xiang and Guyue Zhou. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Transactions on Robotics, Virtual Reality & Intelligent Hardware, IEEE Conference Proceedings and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
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.