Zhongyuan Wang
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- Advanced Image Processing Techniques 97
- Advanced Vision and Imaging 55
- Image and Signal Denoising Methods 54
- Face recognition and analysis 35
- Video Surveillance and Tracking Methods 35
- Image Enhancement Techniques 29
- Media Technology top 0.05%
- Advanced Image Fusion Techniques 36
- Artificial Intelligence top 0.5%
- Topic Modeling 30
- Signal Processing top 1%
- Information Systems top 0.5%
- Journals
- Proceedings of the National Academy of Sciences (1 paper)SHILAP Revista de lepidopterología (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Zhongyuan Wang
327 papers receiving 9.8k citations
Hit Papers
Peers
Comparison fields: 5 of 198
- Computer Vision and Pattern Recognition 6.0k
- Media Technology 2.4k
- Artificial Intelligence 2.2k
- Signal Processing 646
- Information Systems 822
Countries citing papers authored by Zhongyuan Wang
This map shows the geographic impact of Zhongyuan 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 Zhongyuan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhongyuan Wang more than expected).
Fields of papers citing papers by Zhongyuan Wang
This network shows the impact of papers produced by Zhongyuan 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 Zhongyuan Wang. The network helps show where Zhongyuan Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhongyuan 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 6 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 23 | |
| 10 | 2022 | 6 | |
| 11 | 2022 | 7 | |
| 12 | 2022 | 4 | |
| 13 | 2022 | 12 | |
| 14 | 2021 | 124 | |
| 15 | BRRNet: A Fully Convolutional Neural Network for Automatic Building Extraction From High-Resolution Remote Sensing Imagesbreakdown → | 2020 | 192 |
| 16 | 2019 | 2 | |
| 17 | Edge-Enhanced GAN for Remote Sensing Image Superresolutionbreakdown → | 2019 | 416 |
| 18 | 2019 | 96 | |
| 19 | 2018 | 59 | |
| 20 | SeaShips: A Large-Scale Precisely Annotated Dataset for Ship Detectionbreakdown → | 2018 | 295 |
About Zhongyuan Wang
Zhongyuan Wang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 364 papers that have together received 10.1k indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (97 papers), Advanced Vision and Imaging (55 papers), Image and Signal Denoising Methods (54 papers), Advanced Image Fusion Techniques (36 papers), Face recognition and analysis (35 papers), Video Surveillance and Tracking Methods (35 papers), Topic Modeling (30 papers) and Image Enhancement Techniques (29 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (6.0k citations), Media Technology (2.4k citations) and Artificial Intelligence (2.2k citations). Zhongyuan Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Junjun Jiang, Kui Jiang, Peng Yi, Jiayi Ma, Zhenfeng Shao, Ruimin Hu, Tao Lü, Zhen Han, Chen Chen and Haixun Wang. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.