Aili Wang
Impact in
- Infectious Diseases top 1%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Neurology top 2%
- Long-Term Effects of COVID-19
Papers in
-
- Remote-Sensing Image Classification 30
- Advanced Image Fusion Techniques 12
-
- Advanced Neural Network Applications 12
- Co-authors
- Haibin Wu (47 shared papers)Kaiyuan Jiang (9 shared papers)Yonghong Zhang (92 shared papers)Wenya Wang (2 shared papers)Tan Xu (79 shared papers)Chongke Zhong (62 shared papers)Jiang He (65 shared papers)Hao Yang Peng (53 shared papers)
- Journals
- Electronics (20 papers)IEEE Access (11 papers)Stroke (10 papers)Remote Sensing (9 papers)Journal of the American Heart Association (8 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Aili Wang
276 papers receiving 6.0k citations
Aili Wang's Hit Papers
Peers
Comparison fields: 5 of 192
- Infectious Diseases 1.9k
- Neurology 731
- Media Technology 216
- Neurology 173
- Modeling and Simulation 84
Countries citing papers authored by Aili Wang
This map shows the geographic impact of Aili 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 Aili Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aili Wang more than expected).
Fields of papers citing papers by Aili Wang
This network shows the impact of papers produced by Aili 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 Aili Wang. The network helps show where Aili Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Aili 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 305 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Remdesivir in adults with severe COVID-19: a randomised, double-blind, placebo-controlled, multicentre trial Hit paper breakdown → | 2020 | 2707 |
| 2 | Network Intrusion Detection Combined Hybrid Sampling With Deep Hierarchical Network Hit paper breakdown → | 2020 | 340 |
| 3 | 2017 | 130 | |
| 4 | 2017 | 125 | |
| 5 | 2011 | 124 | |
| 6 | 2017 | 70 | |
| 7 | 2019 | 66 | |
| 8 | 2015 | 63 | |
| 9 | 2008 | 56 | |
| 10 | 2010 | 48 | |
| 11 | 2021 | 48 | |
| 12 | 2008 | 47 | |
| 13 | 2019 | 41 | |
| 14 | 2016 | 41 | |
| 15 | 2020 | 40 | |
| 16 | 2018 | 39 | |
| 17 | 2020 | 38 | |
| 18 | 2017 | 35 | |
| 19 | 2021 | 33 | |
| 20 | 2011 | 32 |
About Aili Wang
Aili Wang is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Epidemiology, Hardware and Architecture and Atmospheric Science, having authored 305 papers that have together received 6.1k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (30 papers), Acute Ischemic Stroke Management (24 papers), Remote Sensing and Land Use (22 papers), Advanced Neural Network Applications (12 papers), Advanced Image Fusion Techniques (12 papers), Parallel Computing and Optimization Techniques (11 papers), Remote Sensing and LiDAR Applications (10 papers) and Blood Pressure and Hypertension Studies (9 papers). The work is most often cited by research in Infectious Diseases (1.9k citations), Neurology (731 citations), Media Technology (216 citations), Neurology (173 citations) and Modeling and Simulation (84 citations). Aili Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Haibin Wu, Kaiyuan Jiang, Yonghong Zhang, Wenya Wang, Tan Xu, Chongke Zhong, Jiang He, Hao Yang Peng, Tian Xu and Zhong Ju. Their work appears in journals such as Electronics, IEEE Access, Stroke, Remote Sensing and Journal of the American Heart Association.
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.