Yaowei Wang

9.0k total citations · 5 hit papers
187 papers, 4.7k citations indexed

About

Yaowei Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Yaowei Wang has authored 187 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 145 papers in Computer Vision and Pattern Recognition, 80 papers in Artificial Intelligence and 16 papers in Biomedical Engineering. Recurrent topics in Yaowei Wang's work include Video Surveillance and Tracking Methods (60 papers), Advanced Image and Video Retrieval Techniques (40 papers) and Advanced Neural Network Applications (35 papers). Yaowei Wang is often cited by papers focused on Video Surveillance and Tracking Methods (60 papers), Advanced Image and Video Retrieval Techniques (40 papers) and Advanced Neural Network Applications (35 papers). Yaowei Wang collaborates with scholars based in China, United Kingdom and United States. Yaowei Wang's co-authors include Yonghong Tian, Tiejun Huang, Lu Pang, Hongye Liu, Qixiang Ye, Lingxi Xie, Jianbin Jiao, Shanzhi Gu, Wei Huang and Peixi Peng and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Yaowei Wang

174 papers receiving 4.6k citations

Hit Papers

Conformer: Local Features Coupling Global R... 2016 2026 2019 2022 2021 2016 2023 2022 2023 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yaowei Wang China 35 3.4k 1.6k 505 504 268 187 4.7k
Xi Li China 39 4.0k 1.2× 1.5k 0.9× 627 1.2× 463 0.9× 314 1.2× 333 6.4k
Kai Han China 21 3.1k 0.9× 1.1k 0.7× 381 0.8× 652 1.3× 474 1.8× 48 5.0k
Yong Xu China 34 3.5k 1.0× 1.3k 0.8× 335 0.7× 743 1.5× 329 1.2× 156 5.4k
Sergio A. Velastín United Kingdom 34 4.2k 1.2× 1.9k 1.2× 653 1.3× 315 0.6× 227 0.8× 178 5.3k
Xiatian Zhu United Kingdom 32 4.7k 1.4× 2.2k 1.3× 975 1.9× 662 1.3× 275 1.0× 105 6.5k
Zhaoxiang Zhang China 39 5.1k 1.5× 1.9k 1.2× 622 1.2× 428 0.8× 522 1.9× 230 6.5k
Zhun Zhong China 25 4.2k 1.2× 1.3k 0.8× 1.3k 2.6× 271 0.5× 215 0.8× 77 5.3k
Yabiao Wang China 18 2.9k 0.8× 1.5k 0.9× 306 0.6× 606 1.2× 222 0.8× 60 4.0k
Dapeng Tao China 45 3.8k 1.1× 1.2k 0.8× 820 1.6× 884 1.8× 224 0.8× 198 5.0k
Jianyuan Guo China 15 2.9k 0.9× 931 0.6× 317 0.6× 646 1.3× 472 1.8× 22 4.6k

Countries citing papers authored by Yaowei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yaowei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaowei Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yaowei Wang. A scholar is included among the top collaborators of Yaowei 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 Yaowei Wang. Yaowei 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.
Huang, Yujun, et al.. (2025). MB-RACS: Measurement-Bounds-Based Rate-Adaptive Image Compressed Sensing Network. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(7). 5460–5474. 2 indexed citations
2.
Chen, Ke, et al.. (2024). Improving deep representation learning via auxiliary learnable target coding. Pattern Recognition. 157. 110938–110938. 2 indexed citations
3.
Chen, Bin, et al.. (2024). Multi-scale architectures matter: Examining the adversarial robustness of flow-based lossless compression. Pattern Recognition. 149. 110242–110242. 1 indexed citations
4.
Li, Xin, et al.. (2024). Toward Long Video Understanding via Fine-Detailed Video Story Generation. IEEE Transactions on Circuits and Systems for Video Technology. 35(5). 4592–4607. 3 indexed citations
5.
Xie, Lingxi, et al.. (2024). Fast-iTPN: Integrally Pre-Trained Transformer Pyramid Network With Token Migration. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 9766–9779. 2 indexed citations
6.
Lin, Hui, Xiaopeng Hong, Zhiheng Ma, Yaowei Wang, & Deyu Meng. (2024). Multidimensional Measure Matching for Crowd Counting. IEEE Transactions on Neural Networks and Learning Systems. 36(5). 9112–9126. 1 indexed citations
7.
Wang, Hongpeng, et al.. (2024). Context-Guided Black-Box Attack for Visual Tracking. IEEE Transactions on Multimedia. 26. 8824–8835. 1 indexed citations
8.
Wang, Yaowei, et al.. (2024). EHAPZero: Ensemble Hierarchical Attribute Prompting-Based Zero-Shot Learning for Pest Recognition. IEEE Internet of Things Journal. 12(23). 49107–49119. 2 indexed citations
9.
Zhang, Yichen, et al.. (2023). Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object Pose. 1740–1748. 1 indexed citations
10.
Li, Xutao, et al.. (2023). Exploring and Exploiting High-Order Spatial–Temporal Dynamics for Long-Term Frame Prediction. IEEE Transactions on Circuits and Systems for Video Technology. 34(3). 1841–1856. 9 indexed citations
11.
Dong, Xiao, Yunchao Wei, Xiao-Yong Wei, et al.. (2023). Entity-Graph Enhanced Cross-Modal Pretraining for Instance-level Product Retrieval. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(11). 1–16. 9 indexed citations
12.
Zheng, Changmeng, et al.. (2023). Towards Bridged Vision and Language: Learning Cross-Modal Knowledge Representation for Relation Extraction. IEEE Transactions on Circuits and Systems for Video Technology. 34(1). 561–575. 13 indexed citations
13.
Zhou, Jiahuan, et al.. (2023). DCR-ReID: Deep Component Reconstruction for Cloth-Changing Person Re-Identification. IEEE Transactions on Circuits and Systems for Video Technology. 33(8). 4415–4428. 52 indexed citations
14.
Yu, Hongyang, Xinfeng Zhang, Yaowei Wang, Qingming Huang, & Baocai Yin. (2023). Multiple-Level Distillation for Video Fine-Grained Accident Detection. IEEE Transactions on Circuits and Systems for Video Technology. 34(6). 4445–4457. 2 indexed citations
15.
Liu, Jing, et al.. (2023). Generative Data Free Model Quantization With Knowledge Matching for Classification. IEEE Transactions on Circuits and Systems for Video Technology. 33(12). 7296–7309. 10 indexed citations
16.
Wei, Tao, Yonghong Tian, Yaowei Wang, Yun Liang, & Chang Wen Chen. (2022). Optimized separable convolution: Yet another efficient convolution operator. SHILAP Revista de lepidopterología. 3. 162–171. 6 indexed citations
17.
Zheng, Changmeng, et al.. (2022). DRAKE: Deep Pair-Wise Relation Alignment for Knowledge-Enhanced Multimodal Scene Graph Generation in Social Media Posts. IEEE Transactions on Circuits and Systems for Video Technology. 33(7). 3199–3213. 9 indexed citations
18.
Yang, Shu, Yaowei Wang, Ke Chen, Wei Zeng, & Zesong Fei. (2021). Attribute-Aware Feature Encoding for Object Recognition and Segmentation. IEEE Transactions on Multimedia. 24. 3611–3623. 6 indexed citations
19.
Wang, Yaowei, et al.. (2020). End-Edge-Cloud Collaborative System: A Video Big Data Processing and Analysis Architecture. 233–236. 2 indexed citations
20.
Yang, Shu, Yaowei Wang, Yemin Shi, & Zesong Fei. (2019). Can Categories and Attributes Be Learned in a Multi-Task Way?. IEEE Transactions on Multimedia. 21(12). 3194–3204. 5 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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