Nianjin Ye
Impact in
- Geology top 10%
- 3D Surveying and Cultural Heritage
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- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- Advanced Image Processing Techniques
- Image and Video Stabilization
Papers in
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- Advanced Vision and Imaging 6
- Advanced Image and Video Retrieval Techniques 4
- Multimodal Machine Learning Applications 2
- Image Enhancement Techniques 2
- Advanced Image Processing Techniques 2
- Human Pose and Action Recognition 2
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- Robotics and Sensor-Based Localization 3
- Co-authors
- Shuaicheng Liu (8 shared papers)Chuan Wang (4 shared papers)Bing Zeng (3 shared papers)Haoqiang Fan (1 shared paper)Hao Xu (1 shared paper)Guanghui Liu (1 shared paper)Jue Wang (2 shared papers)Kunming Luo (2 shared papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (3 papers)IEEE Transactions on Image Processing (1 paper)IEEE Access (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Nianjin Ye
7 papers receiving 213 citations
Peers
Comparison fields: 5 of 30
- Geology 49
- Computer Vision and Pattern Recognition 158
- Media Technology 24
- Aerospace Engineering 62
- Computational Mechanics 39
Countries citing papers authored by Nianjin Ye
This map shows the geographic impact of Nianjin Ye'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 Nianjin Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nianjin Ye more than expected).
Fields of papers citing papers by Nianjin Ye
This network shows the impact of papers produced by Nianjin Ye. 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 Nianjin Ye. The network helps show where Nianjin Ye may publish in the future.
Co-authors
The 13 scholars most cited alongside Nianjin Ye, 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 | 2022 | 54 | |
| 2 | 2021 | 54 | |
| 3 | 2022 | 35 | |
| 4 | 2021 | 28 | |
| 5 | 2022 | 26 | |
| 6 | 2022 | 15 | |
| 7 | 2021 | 3 | |
| 8 | 2024 | 0 |
About Nianjin Ye
Nianjin Ye is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Computational Mechanics, Geology and Infectious Diseases, having authored 8 papers that have together received 215 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (6 papers), Advanced Image and Video Retrieval Techniques (4 papers), Robotics and Sensor-Based Localization (3 papers), Multimodal Machine Learning Applications (2 papers), Image Enhancement Techniques (2 papers), Advanced Image Processing Techniques (2 papers), Human Pose and Action Recognition (2 papers) and 3D Surveying and Cultural Heritage (1 paper). The work is most often cited by research in Geology (49 citations), Computer Vision and Pattern Recognition (158 citations), Media Technology (24 citations), Aerospace Engineering (62 citations) and Computational Mechanics (39 citations). Nianjin Ye has collaborated with scholars based in China, United States and India. Frequent co-authors include Shuaicheng Liu, Chuan Wang, Bing Zeng, Haoqiang Fan, Hao Xu, Guanghui Liu, Jue Wang, Kunming Luo, Yuhang Lu and Qijun Zhao. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing, IEEE Access, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 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.