Aili Wang
Impact in
- Media Technology top 2%
- Remote-Sensing Image Classification
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- Network Security and Intrusion Detection
Papers in
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- Advanced Neural Network Applications 12
- Image and Signal Denoising Methods 10
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- Remote-Sensing Image Classification 30
- Advanced Image Fusion Techniques 13
- Co-authors
- Haibin Wu (46 shared papers)Kaiyuan Jiang (9 shared papers)Yonghong Zhang (91 shared papers)Wenya Wang (2 shared papers)Tan Xu (78 shared papers)Chongke Zhong (62 shared papers)Jiang He (65 shared papers)Hao Peng (53 shared papers)
- Journals
- Electronics (21 papers)IEEE Access (11 papers)Stroke (10 papers)Atherosclerosis (8 papers)Journal of the American Heart Association (8 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Aili Wang
257 papers receiving 2.8k citations
Aili Wang's Hit Papers
Peers
Comparison fields: 5 of 176
- Media Technology 201
- Computer Networks and Communications 433
- Neurology 129
- Signal Processing 190
- Artificial Intelligence 449
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 294 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Network Intrusion Detection Combined Hybrid Sampling With Deep Hierarchical Network Hit paper breakdown → | 2020 | 333 |
| 2 | 2011 | 115 | |
| 3 | 2017 | 68 | |
| 4 | 2015 | 63 | |
| 5 | 2019 | 63 | |
| 6 | 2008 | 56 | |
| 7 | 2010 | 49 | |
| 8 | 2008 | 47 | |
| 9 | 2021 | 44 | |
| 10 | 2016 | 39 | |
| 11 | 2019 | 38 | |
| 12 | 2020 | 37 | |
| 13 | 2018 | 37 | |
| 14 | 2020 | 35 | |
| 15 | 2017 | 33 | |
| 16 | 2011 | 32 | |
| 17 | 2021 | 31 | |
| 18 | 2012 | 30 | |
| 19 | 2018 | 28 | |
| 20 | 2020 | 28 |
About Aili Wang
Aili Wang is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Epidemiology, Artificial Intelligence and Computer Networks and Communications, having authored 294 papers that have together received 2.9k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (30 papers), Remote Sensing and Land Use (23 papers), Acute Ischemic Stroke Management (22 papers), Advanced Image Fusion Techniques (13 papers), Advanced Neural Network Applications (12 papers), Parallel Computing and Optimization Techniques (11 papers), Remote Sensing and LiDAR Applications (10 papers) and Image and Signal Denoising Methods (10 papers). The work is most often cited by research in Media Technology (201 citations), Computer Networks and Communications (433 citations), Neurology (129 citations), Signal Processing (190 citations) and Artificial Intelligence (449 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 Peng, Tian Xu and Xuehai Zhou. Their work appears in journals such as Electronics, IEEE Access, Stroke, Atherosclerosis 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.