Yaqi Wang
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Retinal Imaging and Analysis
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- Air Quality and Health Impacts
- Climate Change and Health Impacts
Papers in
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- Retinal Imaging and Analysis 14
- Radiomics and Machine Learning in Medical Imaging 13
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- Digital Imaging for Blood Diseases 8
- Co-authors
- Qianni Zhang (21 shared papers)Jianquan Lu (5 shared papers)Lingling Sun (12 shared papers)Xiaoyuan Yang (4 shared papers)Xingru Huang (18 shared papers)Qun Jin (7 shared papers)Huiyu Zhou (11 shared papers)Jinling Liang (1 shared paper)
- Journals
- IEEE Journal of Biomedical and Health Informatics (5 papers)Medical Image Analysis (4 papers)Expert Systems with Applications (4 papers)Pattern Recognition (3 papers)Frontiers in Medicine (3 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Yaqi Wang
172 papers receiving 2.7k citations
Yaqi Wang's Hit Papers
Peers
Comparison fields: 5 of 175
- Radiology, Nuclear Medicine and Imaging 640
- Health, Toxicology and Mutagenesis 315
- Artificial Intelligence 781
- Computer Vision and Pattern Recognition 459
- Statistical and Nonlinear Physics 188
Countries citing papers authored by Yaqi Wang
This map shows the geographic impact of Yaqi 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 Yaqi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaqi Wang more than expected).
Fields of papers citing papers by Yaqi Wang
This network shows the impact of papers produced by Yaqi 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 Yaqi Wang. The network helps show where Yaqi Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yaqi 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 199 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | BACH: Grand challenge on breast cancer histology images Hit paper breakdown → | 2019 | 522 |
| 2 | 2021 | 176 | |
| 3 | 2020 | 172 | |
| 4 | 2023 | 96 | |
| 5 | 2017 | 94 | |
| 6 | 2020 | 78 | |
| 7 | 2019 | 49 | |
| 8 | 2021 | 48 | |
| 9 | 2023 | 48 | |
| 10 | 2012 | 41 | |
| 11 | 2021 | 38 | |
| 12 | 2022 | 36 | |
| 13 | 2019 | 35 | |
| 14 | 2015 | 33 | |
| 15 | 2021 | 33 | |
| 16 | 2021 | 33 | |
| 17 | 2023 | 32 | |
| 18 | 2018 | 32 | |
| 19 | 2016 | 32 | |
| 20 | 2018 | 31 |
About Yaqi Wang
Yaqi Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Ophthalmology, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 199 papers that have together received 2.8k indexed citations. Recurring topics across this work include AI in cancer detection (18 papers), Retinal Imaging and Analysis (14 papers), Radiomics and Machine Learning in Medical Imaging (13 papers), Complex Network Analysis Techniques (9 papers), Air Quality and Health Impacts (8 papers), Retinal Diseases and Treatments (8 papers), Digital Imaging for Blood Diseases (8 papers) and Opinion Dynamics and Social Influence (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (640 citations), Health, Toxicology and Mutagenesis (315 citations), Artificial Intelligence (781 citations), Computer Vision and Pattern Recognition (459 citations) and Statistical and Nonlinear Physics (188 citations). Yaqi Wang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Qianni Zhang, Jianquan Lu, Lingling Sun, Xiaoyuan Yang, Xingru Huang, Qun Jin, Huiyu Zhou, Jinling Liang, Xiaodi Li and Jing Wang. Their work appears in journals such as IEEE Journal of Biomedical and Health Informatics, Medical Image Analysis, Expert Systems with Applications, Pattern Recognition and Frontiers in Medicine.
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.