Aili Wang

8.0k total citations · 1 hit paper
286 papers, 2.8k citations indexed

About

Aili Wang is a scholar working on Computer Vision and Pattern Recognition, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Aili Wang has authored 286 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Computer Vision and Pattern Recognition, 50 papers in Epidemiology and 40 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Aili Wang's work include Acute Ischemic Stroke Management (36 papers), Remote-Sensing Image Classification (30 papers) and Blood Pressure and Hypertension Studies (23 papers). Aili Wang is often cited by papers focused on Acute Ischemic Stroke Management (36 papers), Remote-Sensing Image Classification (30 papers) and Blood Pressure and Hypertension Studies (23 papers). Aili Wang collaborates with scholars based in China, United States and Japan. Aili Wang's co-authors include Haibin Wu, Kaiyuan Jiang, Yonghong Zhang, Wenya Wang, Tan Xu, Chongke Zhong, Jiang He, Hao Peng, Tian Xu and Zhong Ju and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and American Journal of Clinical Nutrition.

In The Last Decade

Aili Wang

253 papers receiving 2.7k citations

Hit Papers

Network Intrusion Detection Combined Hybrid Sampling With... 2020 2026 2022 2024 2020 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Network Intrusion Detection Combined Hybrid Sampling With Deep Hierarchical Network
    2020 302 citations Kaiyuan Jiang, Aili Wang et al. IEEE Access profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Aili Wang China 26 419 401 398 392 297 286 2.8k
Neeraj Sharma India 32 439 1.0× 347 0.9× 1.3k 3.2× 368 0.9× 73 0.2× 422 5.4k
Shen Li China 25 332 0.8× 167 0.4× 429 1.1× 159 0.4× 74 0.2× 183 2.6k
Jinping Liu China 31 326 0.8× 156 0.4× 1.4k 3.5× 226 0.6× 182 0.6× 198 3.8k
Ming Tao China 37 256 0.6× 272 0.7× 1.6k 4.0× 641 1.6× 300 1.0× 255 4.7k
Xiaoping Fan China 33 295 0.7× 176 0.4× 438 1.1× 205 0.5× 84 0.3× 307 3.8k
J. Manikandan India 30 234 0.6× 167 0.4× 1.1k 2.7× 124 0.3× 52 0.2× 206 3.7k
Stephen Scott United States 27 514 1.2× 88 0.2× 591 1.5× 132 0.3× 104 0.4× 82 2.5k
Xuemin Chen United States 31 301 0.7× 124 0.3× 328 0.8× 383 1.0× 39 0.1× 226 3.8k
Kelvin K. L. Wong Australia 39 433 1.0× 184 0.5× 791 2.0× 150 0.4× 660 2.2× 162 4.0k
Jiong Zhang China 30 216 0.5× 147 0.4× 588 1.5× 60 0.2× 123 0.4× 181 5.6k

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-authorship network of co-authors of Aili Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Aili Wang. A scholar is included among the top collaborators of Aili Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Aili Wang. Aili Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Wang, Aili, et al.. (2024). The association between atherogenic index of plasma and metabolic dysfunction-associated fatty liver disease as detected by FibroScan. Nutrición Hospitalaria. 41(2). 384–392. 2 indexed citations
3.
Lin, Zhenqiu, et al.. (2024). A Review of State-of-the-Art Methodologies and Applications in Action Recognition. Electronics. 13(23). 4733–4733. 2 indexed citations
4.
Zhou, Zhiyan, et al.. (2023). Intelligent Detection of Road Cracks Based on Improved YOLOv5. 10(7). 9–13.
5.
Yu, Xiaoyu, et al.. (2023). Design and Implementation on Multi-Function Smart Wheelchair. 10(7). 18–22. 4 indexed citations
6.
Iwahori, Yuji, et al.. (2023). XGBoosted Binary CNNs for Multi-Class Classification of Colorectal Polyp Size. IEEE Access. 11. 128461–128472. 3 indexed citations
7.
8.
Yu, Xiaoyu, et al.. (2023). Chip Surface Defect Detection Algorithm Based on Improved YOLOv3. 134–142. 1 indexed citations
9.
Wu, Haibin, et al.. (2023). A Novel Dual-Encoder Model for Hyperspectral and LiDAR Joint Classification via Contrastive Learning. Remote Sensing. 15(4). 924–924. 8 indexed citations
10.
Iwahori, Yuji, et al.. (2023). MLP-UNet: Glomerulus Segmentation. IEEE Access. 1–1. 9 indexed citations
11.
Liu, Yang, Pinni Yang, Zhengbao Zhu, et al.. (2022). Blood Pressure Fluctuation During Hospitalization and Clinical Outcomes Within 3 Months After Ischemic Stroke. Hypertension. 79(10). 2336–2345. 8 indexed citations
12.
Wu, Haibin, et al.. (2022). Semantic SLAM Based on Deep Learning in Endocavity Environment. Symmetry. 14(3). 614–614. 8 indexed citations
13.
Wang, Aili, Xue Dong, Haibin Wu, & Yanfeng Gu. (2022). Efficient Convolutional Neural Architecture Search for LiDAR DSM Classification. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–17. 6 indexed citations
14.
Yang, Pinni, Zhengbao Zhu, Xiaoqing Bu, et al.. (2021). Increased Serum Complement C3 Levels Are Associated With Adverse Clinical Outcomes After Ischemic Stroke. Stroke. 52(3). 868–877. 29 indexed citations
15.
Wang, Aili, et al.. (2021). Hyperspectral Image Classification Based on Cross-Scene Adaptive Learning. Symmetry. 13(10). 1878–1878. 3 indexed citations
16.
Wang, Aili, et al.. (2020). Few-Shot Learning Based Balanced Distribution Adaptation for Heterogeneous Defect Prediction. IEEE Access. 8. 32989–33001. 19 indexed citations
17.
Che, Bizhong, Zhengbao Zhu, Aili Wang, et al.. (2020). Education Level and Long‐term Mortality, Recurrent Stroke, and Cardiovascular Events in Patients With Ischemic Stroke. Journal of the American Heart Association. 9(16). e016671–e016671. 34 indexed citations
18.
Zheng, Xiaowei, Daoxia Guo, Hao Peng, et al.. (2019). Platelet counts affect the prognostic value of homocysteine in acute ischemic stroke patients. Atherosclerosis. 285. 163–169. 4 indexed citations
19.
Wang, Guangli, Chongke Zhong, Hao Peng, et al.. (2019). Renal Function Affects Prognostic Role of Antiphosphatidylserine Antibodies for Acute Ischemic Stroke Patients. Cerebrovascular Diseases. 48(1-2). 1–8. 4 indexed citations
20.
Zhang, Mingzhi, Guiyan Wang, Aili Wang, Weijun Tong, & Yonghong Zhang. (2012). Association of hypertension with coexistence of abnormal metabolism and inflammation and endothelial dysfunction. Blood Pressure. 22(3). 151–157. 8 indexed citations

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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