Ran Wang
Impact in
- Space and Planetary Science top 2%
- Geology top 5%
- 3D Surveying and Cultural Heritage
Papers in
-
- Advanced Steganography and Watermarking Techniques 7
- Digital Media Forensic Detection 7
- Co-authors
- Zhen Xu (3 shared papers)Yingjun Liu (3 shared papers)Zheng Li (3 shared papers)Chao Gao (1 shared paper)Chao Gao (2 shared papers)Weiwei Gao (2 shared papers)Yan Liang (5 shared papers)Yonglin Shen (1 shared paper)
- Journals
- Mechanical Systems and Signal Processing (3 papers)Applied Optics (3 papers)Frontiers in Immunology (2 papers)International Journal of Machine Learning and Cybernetics (2 papers)Physics of Fluids (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ran Wang
166 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 164
- Space and Planetary Science 40
- Geology 107
- Computer Vision and Pattern Recognition 234
- Instrumentation 38
- Environmental Engineering 141
Countries citing papers authored by Ran Wang
This map shows the geographic impact of Ran Wang'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 Ran Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ran Wang more than expected).
Fields of papers citing papers by Ran Wang
This network shows the impact of papers produced by Ran Wang. 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 Ran Wang. The network helps show where Ran Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ran Wang, 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 187 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 212 | |
| 2 | 2016 | 153 | |
| 3 | 2014 | 101 | |
| 4 | 2020 | 57 | |
| 5 | 2021 | 50 | |
| 6 | 2022 | 49 | |
| 7 | 2020 | 48 | |
| 8 | 2006 | 46 | |
| 9 | 2022 | 35 | |
| 10 | 2016 | 34 | |
| 11 | 2013 | 34 | |
| 12 | 2019 | 32 | |
| 13 | 2024 | 30 | |
| 14 | 2019 | 30 | |
| 15 | 2024 | 28 | |
| 16 | 2024 | 28 | |
| 17 | 2015 | 26 | |
| 18 | 2024 | 24 | |
| 19 | 2017 | 24 | |
| 20 | 2018 | 22 |
About Ran Wang
Ran Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Control and Systems Engineering and Aerospace Engineering, having authored 187 papers that have together received 1.9k indexed citations. Recurring topics across this work include Speech and Audio Processing (10 papers), Advanced Steganography and Watermarking Techniques (7 papers), Digital Media Forensic Detection (7 papers), Plant-Microbe Interactions and Immunity (6 papers), Optical Systems and Laser Technology (6 papers), Advanced SAR Imaging Techniques (5 papers), Remote Sensing and LiDAR Applications (4 papers) and Climate change impacts on agriculture (4 papers). The work is most often cited by research in Space and Planetary Science (40 citations), Geology (107 citations), Computer Vision and Pattern Recognition (234 citations), Instrumentation (38 citations) and Environmental Engineering (141 citations). Ran Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhen Xu, Yingjun Liu, Zheng Li, Chao Gao, Chao Gao, Weiwei Gao, Yan Liang, Yonglin Shen, David S.‐K. Ting and Zhihua Xu. Their work appears in journals such as Mechanical Systems and Signal Processing, Applied Optics, Frontiers in Immunology, International Journal of Machine Learning and Cybernetics and Physics of Fluids.
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.