Anbang Yao

4.6k total citations · 1 hit paper
29 papers, 1.5k citations indexed

About

Anbang Yao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Anbang Yao has authored 29 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 3 papers in Experimental and Cognitive Psychology. Recurrent topics in Anbang Yao's work include Advanced Neural Network Applications (10 papers), Video Surveillance and Tracking Methods (9 papers) and Human Pose and Action Recognition (8 papers). Anbang Yao is often cited by papers focused on Advanced Neural Network Applications (10 papers), Video Surveillance and Tracking Methods (9 papers) and Human Pose and Action Recognition (8 papers). Anbang Yao collaborates with scholars based in China, United States and Hong Kong. Anbang Yao's co-authors include Yurong Chen, Fuchun Sun, Tao Kong, Shandong Wang, Dongqi Cai, Hao Zhao, Hongen Liao, Zixin Luo, Tianwei Shen and Long Quan and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Anbang Yao

27 papers receiving 1.4k citations

Hit Papers

align trajectories

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.

HyperNet: Towards Accurate Region Proposal Generation and Joint Object Detection

2016 602 citations Tao Kong, Anbang Yao et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anbang Yao China	15	1.2k	288	234	203	127	29	1.5k
Shenqi Lai China	11	1.6k 1.3×	333 1.2×	114 0.5×	110 0.5×	130 1.0×	27	1.9k
Seungryong Kim South Korea	22	1.1k 0.9×	191 0.7×	240 1.0×	58 0.3×	257 2.0×	101	1.4k
Dan Levi Israel	13	1.1k 0.9×	166 0.6×	192 0.8×	64 0.3×	81 0.6×	20	1.6k
Yongbin Gao China	20	631 0.5×	171 0.6×	94 0.4×	47 0.2×	155 1.2×	88	1.3k
Loong‐Fah Cheong Singapore	25	1.9k 1.5×	315 1.1×	330 1.4×	73 0.4×	224 1.8×	66	2.1k
Zhenhua Chai China	14	895 0.7×	251 0.9×	73 0.3×	111 0.5×	131 1.0×	40	1.2k
John Zelek Canada	19	922 0.8×	262 0.9×	339 1.4×	30 0.1×	124 1.0×	153	1.5k
J. Nuevo Spain	12	910 0.7×	88 0.3×	430 1.8×	474 2.3×	110 0.9×	22	1.8k
Chenchen Zhu China	15	844 0.7×	368 1.3×	228 1.0×	37 0.2×	221 1.7×	42	1.3k

Countries citing papers authored by Anbang Yao

Since Specialization

Citations

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

Fields of papers citing papers by Anbang Yao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anbang Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Anbang Yao. A scholar is included among the top collaborators of Anbang Yao 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 Anbang Yao. Anbang Yao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Wang, Yi‐Kai, et al.. (2024). Small Scale Data-Free Knowledge Distillation. 6008–6016. 8 indexed citations

2.

Yao, Anbang, et al.. (2023). 3D Human Pose Lifting with Grid Convolution. Proceedings of the AAAI Conference on Artificial Intelligence. 37(1). 1105–1113. 3 indexed citations

3.

Yao, Anbang, et al.. (2023). Augmentation-Free Dense Contrastive Knowledge Distillation for Efficient Semantic Segmentation. 51359–51370.

4.

Wang, Yikai, Wenbing Huang, Yinpeng Dong, Fuchun Sun, & Anbang Yao. (2023). Compacting Binary Neural Networks by Sparse Kernel Selection. 24374–24383.

5.

Li, Lujun, Yikai Wang, Anbang Yao, et al.. (2021). Explicit Connection Distillation. 3 indexed citations

6.

Liu, Xiaolong, Yuqing Hou, Anbang Yao, Yurong Chen, & Keqiang Li. (2021). CASNet: Common Attribute Support Network for image instance and panoptic segmentation. 8469–8475. 2 indexed citations

7.

Zhao, Hao, Ming Lu, Anbang Yao, et al.. (2020). Pointly-supervised scene parsing with uncertainty mixture. Computer Vision and Image Understanding. 200. 103040–103040. 6 indexed citations

8.

Zhang, Jiahui, Dawei Sun, Zixin Luo, et al.. (2020). OANet: Learning Two-View Correspondences and Geometry Using Order-Aware Network. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(6). 3110–3122. 21 indexed citations

9.

Zhao, Hao, et al.. (2019). Learning to Draw Sight Lines. International Journal of Computer Vision. 128(5). 1076–1100. 25 indexed citations

10.

Zhang, Jiahui, Dawei Sun, Zixin Luo, et al.. (2019). Learning Two-View Correspondences and Geometry Using Order-Aware Network. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 5844–5853. 230 indexed citations

11.

Li, Duo, Aojun Zhou, & Anbang Yao. (2019). HBONet: Harmonious Bottleneck on Two Orthogonal Dimensions. 3315–3324. 21 indexed citations

12.

Zhao, Hao, et al.. (2019). A Closed-Form Solution to Universal Style Transfer. 5951–5960. 54 indexed citations

13.

Zhou, Aojun, Anbang Yao, Kuan Wang, & Yurong Chen. (2018). Explicit Loss-Error-Aware Quantization for Low-Bit Deep Neural Networks. 9426–9435. 50 indexed citations

14.

Zhao, Hao, et al.. (2017). Physics Inspired Optimization on Semantic Transfer Features: An Alternative Method for Room Layout Estimation. 870–878. 46 indexed citations

15.

Hu, Ping, Dongqi Cai, Shandong Wang, Anbang Yao, & Yurong Chen. (2017). Learning supervised scoring ensemble for emotion recognition in the wild. 553–560. 104 indexed citations

16.

Kong, Tao, Anbang Yao, Yurong Chen, & Fuchun Sun. (2016). HyperNet: Towards Accurate Region Proposal Generation and Joint Object Detection. 845–853. 602 indexed citations breakdown →

17.

Yao, Anbang & Shan Yu. (2013). Robust Face Representation Using Hybrid Spatial Feature Interdependence Matrix. IEEE Transactions on Image Processing. 22(8). 3247–3259. 4 indexed citations

18.

Yao, Anbang, Xinggang Lin, Guijin Wang, & Shan Yu. (2012). A compact association of particle filtering and kernel based object tracking. Pattern Recognition. 45(7). 2584–2597. 32 indexed citations

19.

Wang, Guijin, et al.. (2009). Measuring Particles in Joint Feature-Spatial Space. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. E92-A(7). 1737–1742. 1 indexed citations

20.

Yao, Anbang, Guijin Wang, Xinggang Lin, & Hao Wang. (2008). Kernel based articulated object tracking with scale adaptation and model update. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. 945–948. 2 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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