Aili Wang

8.0k citations
286 papers · 2.8k indexed · 1 hit paper · h-index 26

Impact in

Papers in

Aili Wang

253 papers receiving 2.7k citations

Hit Papers

Network Intrusion Detection Combined Hybrid Sampling With Deep Hierarchical Network 2020 · 302 citations
3022020202620222024100200300

Peers

Aili Wang
Comparison fields: 5 of 181
  • Media Technology 202
  • Neurology 178
  • Computer Networks and Communications 392
  • Signal Processing 171
  • Artificial Intelligence 419
Replace Neeraj Sharma with:
Neeraj Sharma India
Jinping Liu China
Ming Tao China
Yunzhou Zhang China
Chandan Chakraborty India
Salvatore Vitabile Italy
Yonghong Peng United Kingdom
Weimin Xiao United States
Shulin Wang China
Xiaoping Fan China
Aili Wang relative to Neeraj Sharma India Neeraj Sharma's profile →
Citations per field
00.5×3.5×
Neeraj Sharma · 1×
Citations per year

Countries citing papers authored by Aili Wang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Aili Wang Line = papers co-authored together Aili Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 286 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 →
2020302
2 2011111
3 201765
4 201960
5 201554
6 200854
7 201047
8 200842
9 202142
10 201638
11 201937
12 202035
13 202034
14 201834
15 201733
16 201131
17 201230
18 202129
19 202027
20 201827

About Aili Wang

Aili Wang is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Hardware and Architecture, Software and Cardiology and Cardiovascular Medicine, having authored 286 papers that have together received 2.8k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (36 papers), Remote-Sensing Image Classification (30 papers), Remote Sensing and Land Use (23 papers), Blood Pressure and Hypertension Studies (23 papers), Cerebrovascular and Carotid Artery Diseases (15 papers), Advanced Image Fusion Techniques (15 papers), Image and Signal Denoising Methods (14 papers) and Advanced Neural Network Applications (12 papers). The work is most often cited by research in Media Technology (202 citations), Neurology (178 citations), Computer Networks and Communications (392 citations), Signal Processing (171 citations) and Artificial Intelligence (419 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 Zhong Ju. 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.

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