Minghui Wang
Impact in
- Media Technology top 2%
- Advanced Image Fusion Techniques
- Remote-Sensing Image Classification
- Health Informatics top 5%
Papers in
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- Image and Signal Denoising Methods 5
- Medical Image Segmentation Techniques 3
- Robotic Path Planning Algorithms 3
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- Advanced Image Fusion Techniques 9
- Remote-Sensing Image Classification 3
- Co-authors
- Yong Jiang (3 shared papers)Xiao Han (9 shared papers)Xiyue Wang (9 shared papers)Sen Yang (9 shared papers)Jun Zhang (5 shared papers)Junzhou Huang (3 shared papers)Wei Yang (3 shared papers)Jing Zhang (2 shared papers)
In The Last Decade
Minghui Wang
50 papers receiving 1.3k citations
Minghui Wang's Hit Papers
Peers
Comparison fields: 5 of 126
- Media Technology 215
- Health Informatics 26
- Computer Vision and Pattern Recognition 364
- Radiology, Nuclear Medicine and Imaging 317
- Artificial Intelligence 419
Countries citing papers authored by Minghui Wang
This map shows the geographic impact of Minghui 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 Minghui Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minghui Wang more than expected).
Fields of papers citing papers by Minghui Wang
This network shows the impact of papers produced by Minghui 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 Minghui Wang. The network helps show where Minghui Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Minghui 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Transformer-based unsupervised contrastive learning for histopathological image classification Hit paper breakdown → | 2022 | 328 |
| 2 | 2022 | 122 | |
| 3 | 2007 | 119 | |
| 4 | 2013 | 116 | |
| 5 | 2021 | 107 | |
| 6 | 2014 | 69 | |
| 7 | 2020 | 44 | |
| 8 | 2020 | 41 | |
| 9 | 2022 | 40 | |
| 10 | 2023 | 38 | |
| 11 | 2021 | 36 | |
| 12 | 2022 | 34 | |
| 13 | 2003 | 31 | |
| 14 | 2023 | 29 | |
| 15 | 2020 | 25 | |
| 16 | 2023 | 25 | |
| 17 | 2021 | 20 | |
| 18 | 2022 | 15 | |
| 19 | 2021 | 12 | |
| 20 | 2012 | 10 |
About Minghui Wang
Minghui Wang is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Electrical and Electronic Engineering, having authored 54 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (9 papers), AI in cancer detection (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Image and Signal Denoising Methods (5 papers), Medical Image Segmentation Techniques (3 papers), Remote-Sensing Image Classification (3 papers), Robotic Path Planning Algorithms (3 papers) and Robotics and Sensor-Based Localization (2 papers). The work is most often cited by research in Media Technology (215 citations), Health Informatics (26 citations), Computer Vision and Pattern Recognition (364 citations), Radiology, Nuclear Medicine and Imaging (317 citations) and Artificial Intelligence (419 citations). Minghui Wang has collaborated with scholars based in China, Hong Kong and Japan. Frequent co-authors include Yong Jiang, Xiao Han, Xiyue Wang, Sen Yang, Jun Zhang, Junzhou Huang, Wei Yang, Jing Zhang, Jing Zhang and Aidong Zhang. Their work appears in journals such as Medical Image Analysis, SAE technical papers on CD-ROM/SAE technical paper series, BMC Cardiovascular Disorders, Bioactive Materials and Neurocomputing.
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.