Hongxun Yao

11.3k total citations · 4 hit papers
281 papers, 8.0k citations indexed

About

Hongxun Yao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Hongxun Yao has authored 281 papers receiving a total of 8.0k indexed citations (citations by other indexed papers that have themselves been cited), including 245 papers in Computer Vision and Pattern Recognition, 46 papers in Artificial Intelligence and 26 papers in Aerospace Engineering. Recurrent topics in Hongxun Yao's work include Advanced Image and Video Retrieval Techniques (95 papers), Video Surveillance and Tracking Methods (70 papers) and Image Retrieval and Classification Techniques (58 papers). Hongxun Yao is often cited by papers focused on Advanced Image and Video Retrieval Techniques (95 papers), Video Surveillance and Tracking Methods (70 papers) and Image Retrieval and Classification Techniques (58 papers). Hongxun Yao collaborates with scholars based in China, United States and Singapore. Hongxun Yao's co-authors include Sicheng Zhao, Shengping Zhang, Rongrong Ji, Xiaoshuai Sun, Shaohui Liu, Qingming Huang, Wen Gao, Yue Gao, Souleyman Chaib and Yanfeng Gu and has published in prestigious journals such as Nucleic Acids Research, The Journal of Chemical Physics and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Hongxun Yao

268 papers receiving 7.8k citations

Hit Papers

BioMagResBank 2007 2026 2013 2019 2007 2015 2016 2017 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hongxun Yao China 39 5.2k 1.4k 1.1k 746 686 281 8.0k
Dongdong Chen China 46 5.6k 1.1× 1.6k 1.2× 368 0.3× 1.0k 1.3× 562 0.8× 178 9.1k
David Forsyth United States 55 11.0k 2.1× 2.7k 2.0× 288 0.3× 1.1k 1.4× 1.4k 2.0× 318 15.8k
S. Sathiya Keerthi India 29 3.5k 0.7× 4.1k 3.0× 735 0.7× 303 0.4× 489 0.7× 72 9.7k
Zeming Lin China 8 2.9k 0.6× 2.6k 1.9× 3.1k 2.8× 401 0.5× 269 0.4× 19 9.2k
Vinod Nair India 14 3.9k 0.7× 3.2k 2.3× 414 0.4× 848 1.1× 397 0.6× 23 9.8k
Michael M. Bronstein Switzerland 50 7.1k 1.4× 2.5k 1.9× 1.0k 0.9× 375 0.5× 1.2k 1.8× 177 14.3k
Bin Luo China 42 3.7k 0.7× 1.7k 1.3× 539 0.5× 1.2k 1.6× 559 0.8× 548 7.2k
Andrew K. C. Wong Canada 32 2.7k 0.5× 2.9k 2.1× 956 0.9× 855 1.1× 318 0.5× 161 7.8k
Vin de Silva United States 16 5.0k 1.0× 3.1k 2.3× 923 0.8× 926 1.2× 198 0.3× 21 10.2k
Vittorio Ferrari Switzerland 44 10.5k 2.0× 5.0k 3.7× 907 0.8× 1.3k 1.8× 1.1k 1.6× 121 16.6k

Countries citing papers authored by Hongxun Yao

Since Specialization
Citations

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

Fields of papers citing papers by Hongxun Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongxun Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Hongxun Yao. A scholar is included among the top collaborators of Hongxun 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 Hongxun Yao. Hongxun Yao 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.
Li, Minghui & Hongxun Yao. (2025). FMVP: Fine-grained Meta Visual Prompt enabled domain-specific few-shot classification. Neurocomputing. 633. 129688–129688.
2.
Li, Minghui, Jing Jiang, & Hongxun Yao. (2025). Drop inherent biases: Multi-level attention calibration for robust cross-domain few-shot classification. Neurocomputing. 636. 130056–130056.
3.
Pan, Xin, Wangbo Zhao, Kai Wang, et al.. (2025). MPBench: A Comprehensive Multimodal Reasoning Benchmark for Process Errors Identification. 21586–21606.
4.
Zhang, Shengping, Feng Jiang, Liqiang Nie, et al.. (2024). Stereo Image Restoration via Attention-Guided Correspondence Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(7). 4850–4865. 5 indexed citations
5.
Yang, Haosen, et al.. (2023). Uncertainty-aware pseudo-label filtering for source-free unsupervised domain adaptation. Neurocomputing. 575. 127190–127190. 3 indexed citations
6.
Zhang, Shengping, et al.. (2023). Unsupervised Low-Light Video Enhancement With Spatial-Temporal Co-Attention Transformer. IEEE Transactions on Image Processing. 32. 4701–4715. 8 indexed citations
7.
Yao, Hongxun, et al.. (2023). HPnet: Hybrid Parallel Network for Human Pose Estimation. Sensors. 23(9). 4425–4425. 4 indexed citations
8.
Zhang, Shengping, et al.. (2023). Limb-Aware Virtual Try-On Network With Progressive Clothing Warping. IEEE Transactions on Multimedia. 26. 1731–1746. 4 indexed citations
9.
Yao, Hongxun, Weihong Deng, Xiaopeng Hong, et al.. (2022). An overview of research development of affective computing and understanding. Journal of Image and Graphics. 27(6). 2008–2035. 4 indexed citations
10.
Xie, Haozhe, Hongxun Yao, Shangchen Zhou, et al.. (2021). Toward 3D object reconstruction from stereo images. Neurocomputing. 463. 444–453. 11 indexed citations
11.
Zhao, Sicheng, Guiguang Ding, Yue Gao, et al.. (2018). Discrete Probability Distribution Prediction of Image Emotions with Shared Sparse Learning. IEEE Transactions on Affective Computing. 11(4). 574–587. 53 indexed citations
12.
Yao, Hongxun, et al.. (2018). Event patches: Mining effective parts for event detection and understanding. Signal Processing. 149. 82–87. 3 indexed citations
13.
Zhao, Sicheng, Hongxun Yao, Yue Gao, Guiguang Ding, & Tat‐Seng Chua. (2016). Predicting Personalized Image Emotion Perceptions in Social Networks. IEEE Transactions on Affective Computing. 9(4). 526–540. 126 indexed citations
14.
Han, Tingting, Hongxun Yao, Xiaoshuai Sun, Sicheng Zhao, & Yanhao Zhang. (2015). Unsupervised discovery of crowd activities by saliency-based clustering. Neurocomputing. 171. 347–361. 12 indexed citations
15.
Sun, Xin, Hongxun Yao, Wenyan Jia, & Mingui Sun. (2013). Eating activity detection from images acquired by a wearable camera. PubMed. 2013. 80–81. 6 indexed citations
16.
Ji, Rongrong, Hongxun Yao, Shaohui Liu, Liang Wang, & Jianchao Sun. (2006). A New Steganalysis Method for Adaptive Spread Spectrum Steganography. 365–368. 7 indexed citations
17.
Ji, Rongrong, Hongxun Yao, Shaohui Liu, & Liang Wang. (2006). Genetic Algorithm Based Optimal Block Mapping Method for LSB Substitution. 215–218. 11 indexed citations
18.
Hong, Xiaopeng, et al.. (2006). A PCA Based Visual DCT Feature Extraction Method for Lip-Reading. 321–326. 29 indexed citations
19.
Yao, Hongxun. (2006). Overview of manifold learning. Caai Transactions on Intelligent Systems. 10 indexed citations
20.
Yao, Hongxun, Wen Gao, W. Shan, & Xiujuan Chai. (2002). Mouth-Shape Classification and Recognition for Lipreading.. 828–831.

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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