Jing Yao
Impact in
- Media Technology top 2%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
-
- Image and Signal Denoising Methods
Papers in
- Co-authors
- Danfeng Hong (3 shared papers)Jocelyn Chanussot (3 shared papers)Lianru Gao (2 shared papers)Bing Zhang (1 shared paper)Ke Zheng (1 shared paper)Jiaxin Li (2 shared papers)Jing Wang (1 shared paper)Chunrong Zhong (1 shared paper)
- Journals
- Journal of Voice (2 papers)Frontiers in Psychiatry (1 paper)Journal of Biotechnology (1 paper)Annals of Translational Medicine (1 paper)Life (1 paper)
- Partner nations
- ChinaFranceUnited States
In The Last Decade
Jing Yao
28 papers receiving 635 citations
Jing Yao's Hit Papers
Peers
Comparison fields: 5 of 132
- Media Technology 238
- Computer Vision and Pattern Recognition 137
- Obstetrics and Gynecology 45
- Environmental Engineering 70
- Atmospheric Science 78
Countries citing papers authored by Jing Yao
This map shows the geographic impact of Jing Yao'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 Jing Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Yao more than expected).
Fields of papers citing papers by Jing Yao
This network shows the impact of papers produced by Jing Yao. 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 Jing Yao. The network helps show where Jing Yao may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing Yao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep learning in multimodal remote sensing data fusion: A comprehensive review Hit paper breakdown → | 2022 | 392 |
| 2 | 2015 | 90 | |
| 3 | 2022 | 30 | |
| 4 | 2024 | 23 | |
| 5 | 2022 | 19 | |
| 6 | 2022 | 12 | |
| 7 | 2022 | 11 | |
| 8 | 2022 | 10 | |
| 9 | 2022 | 7 | |
| 10 | 2023 | 5 | |
| 11 | 2022 | 5 | |
| 12 | 2023 | 4 | |
| 13 | 2023 | 4 | |
| 14 | 2023 | 4 | |
| 15 | 2025 | 4 | |
| 16 | 2010 | 4 | |
| 17 | 2023 | 3 | |
| 18 | [In situ repair of parastomal hernia with Sublay methods in 34 cases]. | 2010 | 3 |
| 19 | 2020 | 3 | |
| 20 | 2025 | 2 |
About Jing Yao
Jing Yao is a scholar working on Molecular Biology, Biomedical Engineering, Materials Chemistry, Surgery and Cardiology and Cardiovascular Medicine, having authored 34 papers that have together received 647 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (3 papers), Voice and Speech Disorders (2 papers), Advanced Image Fusion Techniques (2 papers), Vasculitis and related conditions (2 papers), Geochemistry and Geologic Mapping (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Diabetes Management and Research (1 paper) and Image Processing and 3D Reconstruction (1 paper). The work is most often cited by research in Media Technology (238 citations), Computer Vision and Pattern Recognition (137 citations), Obstetrics and Gynecology (45 citations), Environmental Engineering (70 citations) and Atmospheric Science (78 citations). Jing Yao has collaborated with scholars based in China, France and United States. Frequent co-authors include Danfeng Hong, Jocelyn Chanussot, Lianru Gao, Bing Zhang, Ke Zheng, Jiaxin Li, Jing Wang, Chunrong Zhong, Guoping Xiong and Xuefeng Yang. Their work appears in journals such as Journal of Voice, Frontiers in Psychiatry, Journal of Biotechnology, Annals of Translational Medicine and Life.
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.