Yabiao Wang

8.0k total citations · 3 hit papers
60 papers, 4.0k citations indexed

About

Yabiao Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Yabiao Wang has authored 60 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computer Vision and Pattern Recognition, 32 papers in Artificial Intelligence and 6 papers in Control and Systems Engineering. Recurrent topics in Yabiao Wang's work include Anomaly Detection Techniques and Applications (14 papers), Advanced Neural Network Applications (13 papers) and Domain Adaptation and Few-Shot Learning (10 papers). Yabiao Wang is often cited by papers focused on Anomaly Detection Techniques and Applications (14 papers), Advanced Neural Network Applications (13 papers) and Domain Adaptation and Few-Shot Learning (10 papers). Yabiao Wang collaborates with scholars based in China, Hong Kong and Singapore. Yabiao Wang's co-authors include Yanwei Fu, Philip H. S. Torr, Hengshuang Zhao, Jiachen Lu, Tao Xiang, Jianfeng Feng, Li Zhang, Sixiao Zheng, Xiatian Zhu and Chengjie Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Access.

In The Last Decade

Yabiao Wang

54 papers receiving 4.0k citations

Hit Papers

Rethinking Semantic Segmentation from a Sequence-to-Seque... 2021 2026 2022 2024 2021 2021 2023 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yabiao Wang China 18 2.9k 1.5k 606 318 306 60 4.0k
Yadong Mu China 26 3.5k 1.2× 1.3k 0.9× 617 1.0× 278 0.9× 331 1.1× 95 4.8k
Zilong Huang China 15 2.9k 1.0× 1.1k 0.7× 666 1.1× 308 1.0× 179 0.6× 27 4.0k
Humphrey Shi United States 30 3.2k 1.1× 1.0k 0.7× 718 1.2× 267 0.8× 500 1.6× 93 4.2k
Tianheng Cheng China 9 2.1k 0.7× 865 0.6× 495 0.8× 244 0.8× 257 0.8× 18 3.4k
Lichao Huang China 13 2.6k 0.9× 812 0.5× 722 1.2× 255 0.8× 173 0.6× 31 3.6k
Anton Milan Australia 14 3.0k 1.0× 1.0k 0.7× 433 0.7× 207 0.7× 258 0.8× 17 3.8k
Changxin Gao China 31 4.0k 1.4× 1.2k 0.8× 984 1.6× 181 0.6× 466 1.5× 154 4.9k
Kaitao Song China 11 3.0k 1.0× 1.2k 0.8× 853 1.4× 441 1.4× 236 0.8× 27 4.5k
Nong Sang China 32 4.2k 1.5× 1.4k 0.9× 1.1k 1.8× 283 0.9× 513 1.7× 262 5.6k
Chaorui Deng Australia 8 2.1k 0.7× 842 0.6× 461 0.8× 234 0.7× 254 0.8× 10 3.1k

Countries citing papers authored by Yabiao Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yabiao Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yabiao Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yabiao Wang. A scholar is included among the top collaborators of Yabiao 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 Yabiao Wang. Yabiao 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.
Zhang, Jiangning, Xuhai Chen, Yabiao Wang, et al.. (2025). Exploring plain ViT features for multi-class unsupervised visual anomaly detection. Computer Vision and Image Understanding. 253. 104308–104308. 8 indexed citations
2.
Zhao, Bo, et al.. (2025). Efficient multimodal large language models: a survey. SHILAP Revista de lepidopterología. 3(1). 2 indexed citations
3.
Peng, Jinlong, et al.. (2025). Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation. 30420–30429. 1 indexed citations
4.
Peng, Jinlong, et al.. (2025). Mamba-YOLO-World: Marrying YOLO-World with Mamba for Open-Vocabulary Detection. 1–5. 4 indexed citations
5.
Zhang, Jiangning, Zhucun Xue, Yabiao Wang, et al.. (2025). EMOv2: Pushing 5M Vision Model Frontier. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(11). 10560–10576. 1 indexed citations
6.
Ding, Qi, Junyao Gao, Shuguang Dou, et al.. (2025). Towards Universal Dataset Distillation via Task-Driven Diffusion. 10557–10566.
7.
Wang, Yabiao, Shuo Wang, Jiangning Zhang, et al.. (2025). TIMotion: Temporal and Interactive Framework for Efficient Human-Human Motion Generation. 7169–7178.
8.
Zhang, Jiangning, Hongxu Chen, Yabiao Wang, et al.. (2025). MobileMamba: Lightweight Multi-Receptive Visual Mamba Network. 4497–4507. 6 indexed citations
9.
He, Haoyang, Jiangning Zhang, Hongxu Chen, et al.. (2024). A Diffusion-Based Framework for Multi-Class Anomaly Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 38(8). 8472–8480. 51 indexed citations
10.
Gu, Zhihao, Jiangning Zhang, Liang Liu, et al.. (2024). Rethinking Reverse Distillation for Multi-Modal Anomaly Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 38(8). 8445–8453. 9 indexed citations
11.
Zhao, Yuming, et al.. (2024). UPL-SLAM: Unconstrained RGB-D SLAM With Accurate Point-Line Features for Visual Perception. IEEE Access. 13. 8676–8690.
12.
Zhang, Jiangning, Yabiao Wang, Chengjie Wang, et al.. (2024). Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 9221–9238. 7 indexed citations
13.
14.
Gu, Zhihao, Liang Liu, Xu Chen, et al.. (2023). Remembering Normality: Memory-guided Knowledge Distillation for Unsupervised Anomaly Detection. 16355–16363. 27 indexed citations
15.
Fan, Ke, Chang‐An Wang, Yabiao Wang, et al.. (2023). RFENet: Towards Reciprocal Feature Evolution for Glass Segmentation. 717–725. 11 indexed citations
16.
17.
Song, Qingyu, Changan Wang, Zhengkai Jiang, et al.. (2021). Rethinking Counting and Localization in Crowds: A Purely Point-Based Framework. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 3345–3354. 198 indexed citations breakdown →
18.
Zheng, Sixiao, Jiachen Lu, Hengshuang Zhao, et al.. (2021). Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers. 6877–6886. 2386 indexed citations breakdown →
19.
Liu, Liang, Jiangning Zhang, Ruifei He, et al.. (2020). Learning by Analogy: Reliable Supervision From Transformations for Unsupervised Optical Flow Estimation. 6488–6497. 110 indexed citations
20.
Li, Zhenguo, Yabiao Wang, Hanhong Qi, & Jin-Woo Ahn. (2008). SRM torque ripple minimization based on modified multi-level converter. International Conference on Electrical Machines and Systems. 3374–3379. 12 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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