Hengyou Wang

468 total citations
55 papers, 316 citations indexed

About

Hengyou Wang is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Hengyou Wang has authored 55 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Vision and Pattern Recognition, 21 papers in Computational Mechanics and 12 papers in Artificial Intelligence. Recurrent topics in Hengyou Wang's work include Sparse and Compressive Sensing Techniques (18 papers), Image and Signal Denoising Methods (10 papers) and Face and Expression Recognition (8 papers). Hengyou Wang is often cited by papers focused on Sparse and Compressive Sensing Techniques (18 papers), Image and Signal Denoising Methods (10 papers) and Face and Expression Recognition (8 papers). Hengyou Wang collaborates with scholars based in China, United States and Russia. Hengyou Wang's co-authors include Yigang Cen, Ruizhen Zhao, Zhihai He, Qiang He, Fengzhen Zhang, Zhiquan He, Lianzhi Huo, Fengzhen Zhang, Degang Chen and Yang Li and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Cybernetics and Remote Sensing.

In The Last Decade

Hengyou Wang

46 papers receiving 307 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hengyou Wang China 9 194 105 90 74 40 55 316
Zhigui Liu China 10 225 1.2× 68 0.6× 61 0.7× 98 1.3× 24 0.6× 43 341
Diego Valsesia Italy 12 319 1.6× 134 1.3× 107 1.2× 66 0.9× 39 1.0× 52 470
Binbin Pan China 13 287 1.5× 62 0.6× 90 1.0× 90 1.2× 43 1.1× 43 421
Kewei Tang China 9 236 1.2× 112 1.1× 86 1.0× 90 1.2× 26 0.7× 26 311
Mostafa Rahmani United States 9 123 0.6× 150 1.4× 33 0.4× 117 1.6× 93 2.3× 27 312
Haoying Fu United States 8 202 1.0× 100 1.0× 46 0.5× 69 0.9× 17 0.4× 17 363
Praneeth Narayanamurthy United States 8 194 1.0× 170 1.6× 61 0.7× 62 0.8× 90 2.3× 24 400
Phil Sallee United States 8 247 1.3× 45 0.4× 52 0.6× 53 0.7× 40 1.0× 14 347
Hongyang Zhang China 9 190 1.0× 157 1.5× 66 0.7× 59 0.8× 57 1.4× 18 382
Manqi Zhao China 10 156 0.8× 62 0.6× 59 0.7× 92 1.2× 49 1.2× 30 340

Countries citing papers authored by Hengyou Wang

Since Specialization
Citations

This map shows the geographic impact of Hengyou 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 Hengyou Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hengyou Wang more than expected).

Fields of papers citing papers by Hengyou Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hengyou 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 Hengyou Wang. The network helps show where Hengyou Wang may publish in the future.

Co-authorship network of co-authors of Hengyou Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Hengyou Wang. A scholar is included among the top collaborators of Hengyou 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 Hengyou Wang. Hengyou 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.
Ng, Wing W. Y., et al.. (2025). ERMAV: Efficient and Robust Graph Contrastive Learning via Multiadversarial Views Training. IEEE Transactions on Cybernetics. 55(5). 2188–2201.
3.
Wang, Hengyou, et al.. (2024). ragBERT: Relationship-aligned and grammar-wise BERT model for image captioning. Image and Vision Computing. 148. 105105–105105.
4.
Wang, Hengyou, et al.. (2024). Style-Enhanced Transformer for Image Captioning in Construction Scenes. Entropy. 26(3). 224–224. 3 indexed citations
5.
Wang, Hengyou, et al.. (2024). Low-rank matrix recovery with total generalized variation for defending adversarial examples. Frontiers of Information Technology & Electronic Engineering. 25(3). 432–445.
6.
Ru, Wei, Lei Gao, Hongbo Liu, et al.. (2024). Wide-based oblique anastomosis reduces urethral stricture rate following the transverse preputial island flap procedure. Translational Andrology and Urology. 13(9). 1891–1898.
7.
Chen, Xi, et al.. (2024). Research On Lightweight Human Fall Detection Method. 1–7.
8.
He, Zhiquan, et al.. (2023). Accurate few-shot object counting with Hough matching feature enhancement. Frontiers in Computational Neuroscience. 17. 1145219–1145219.
9.
He, Zhiquan, Lujun Zhang, & Hengyou Wang. (2023). An initial prediction and fine-tuning model based on improving GCN for 3D human motion prediction. Frontiers in Computational Neuroscience. 17. 1145209–1145209. 3 indexed citations
10.
Li, Wen, et al.. (2023). Robust attention ranking architecture with frequency-domain transform to defend against adversarial samples. Computer Vision and Image Understanding. 233. 103717–103717.
11.
Wang, Hengyou, et al.. (2023). Investigation on Zoning Management of Saline Soil in Cotton Fields in Alar Reclamation Area, Xinjiang. Agriculture. 14(1). 3–3. 2 indexed citations
12.
Wang, Hengyou, et al.. (2021). Removing Adversarial Noise via Low-Rank Completion of High-Sensitivity Points. IEEE Transactions on Image Processing. 30. 6485–6497. 11 indexed citations
13.
Wang, Hengyou, et al.. (2020). L1-norm low-rank linear approximation for accelerating deep neural networks. Neurocomputing. 400. 216–226. 2 indexed citations
14.
Wang, Hengyou, Daxing Tang, Dehua Wu, et al.. (2020). Renal malignant tumor with the loss of INI1 expression and WT1 positive in a 3-year-old boy: a case report. Translational Andrology and Urology. 9(5). 2275–2280. 1 indexed citations
15.
Zhang, Linna, et al.. (2019). Block Sparse Low-rank Matrix Decomposition based Visual Defect Inspection of Rail Track Surfaces. KSII Transactions on Internet and Information Systems. 13(12). 2 indexed citations
16.
An, Gaoyun, et al.. (2018). Robust discriminant low-rank representation for subspace clustering. Soft Computing. 23(16). 7005–7013. 8 indexed citations
17.
Wang, Hengyou, et al.. (2016). Marker tracking for video-based augmented reality. 928–932. 5 indexed citations
18.
Wang, Hengyou, et al.. (2016). Robust Generalized Low-Rank Decomposition of Multimatrices for Image Recovery. IEEE Transactions on Multimedia. 19(5). 969–983. 37 indexed citations
19.
Zhang, Fengzhen, et al.. (2016). Analytic separable dictionary learning based on oblique manifold. Neurocomputing. 236. 32–38. 4 indexed citations
20.
Wang, Yanhong, et al.. (2016). Separable vocabulary and feature fusion for image retrieval based on sparse representation. Neurocomputing. 236. 14–22. 13 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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