Hongyang Chao

4.9k total citations · 3 hit papers
87 papers, 2.6k citations indexed

About

Hongyang Chao is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Hongyang Chao has authored 87 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Computer Vision and Pattern Recognition, 19 papers in Signal Processing and 19 papers in Artificial Intelligence. Recurrent topics in Hongyang Chao's work include Advanced Image and Video Retrieval Techniques (20 papers), Advanced Vision and Imaging (19 papers) and Video Coding and Compression Technologies (17 papers). Hongyang Chao is often cited by papers focused on Advanced Image and Video Retrieval Techniques (20 papers), Advanced Vision and Imaging (19 papers) and Video Coding and Compression Technologies (17 papers). Hongyang Chao collaborates with scholars based in China, United States and United Kingdom. Hongyang Chao's co-authors include Liang Lin, Shengyong Ding, Guangrun Wang, Ming Yang, Ling Huang, Jingwen Chen, Chang‐Dong Wang, Jiawei Chen, Jianlong Fu and Ting Yao 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

Hongyang Chao

85 papers receiving 2.5k citations

Hit Papers

Deep feature learning with relative distance comparison f... 2015 2026 2018 2022 2015 2018 2021 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hongyang Chao China 22 2.1k 519 377 257 209 87 2.6k
Arif Mahmood Pakistan 28 1.7k 0.8× 887 1.7× 375 1.0× 357 1.4× 216 1.0× 121 2.7k
Xinzhong Zhu China 23 1.4k 0.7× 958 1.8× 434 1.2× 129 0.5× 162 0.8× 97 2.3k
Dacheng Tao Australia 24 2.1k 1.0× 921 1.8× 308 0.8× 118 0.5× 138 0.7× 54 2.9k
Dacheng Tao Australia 19 2.1k 1.0× 655 1.3× 619 1.6× 316 1.2× 220 1.1× 26 2.6k
Hongyuan Zhu Singapore 27 2.0k 1.0× 1.1k 2.1× 382 1.0× 126 0.5× 129 0.6× 77 2.8k
Rushi Lan China 28 1.7k 0.8× 606 1.2× 503 1.3× 82 0.3× 124 0.6× 167 2.4k
Zhijun Fang China 27 2.0k 1.0× 650 1.3× 456 1.2× 210 0.8× 206 1.0× 162 3.0k
Kun Zhan China 23 1.7k 0.8× 850 1.6× 751 2.0× 132 0.5× 86 0.4× 77 2.4k
Thomas Mensink Netherlands 21 2.3k 1.1× 1.1k 2.1× 269 0.7× 112 0.4× 133 0.6× 49 2.8k
Peng Hu China 26 2.2k 1.1× 1.4k 2.6× 225 0.6× 114 0.4× 166 0.8× 88 3.0k

Countries citing papers authored by Hongyang Chao

Since Specialization
Citations

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

Fields of papers citing papers by Hongyang Chao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongyang Chao

This figure shows the co-authorship network connecting the top 25 collaborators of Hongyang Chao. A scholar is included among the top collaborators of Hongyang Chao 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 Hongyang Chao. Hongyang Chao 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.
Yang, Huan, Yuan Zhou, Qiuyue Wang, et al.. (2025). DreamStory: Open-Domain Story Visualization by LLM-Guided Multi-Subject Consistent Diffusion. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(12). 11874–11891. 1 indexed citations
2.
Li, Yehao, et al.. (2024). Exploring Vision-Language Foundation Model for Novel Object Captioning. IEEE Transactions on Circuits and Systems for Video Technology. 35(1). 91–102.
3.
4.
Li, Yehao, et al.. (2023). Semantic-Conditional Diffusion Networks for Image Captioning*. 23359–23368. 62 indexed citations
5.
Pan, Yingwei, et al.. (2022). Retrieval Augmented Convolutional Encoder-decoder Networks for Video Captioning. ACM Transactions on Multimedia Computing Communications and Applications. 19(1s). 1–24. 21 indexed citations
6.
Wang, Yu, et al.. (2022). A Low Rank Promoting Prior for Unsupervised Contrastive Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(3). 2667–2681. 9 indexed citations
7.
Chen, Minghao, Kan Wu, Houwen Peng, et al.. (2021). Searching the Search Space of Vision Transformer. arXiv (Cornell University). 34. 1 indexed citations
8.
Chao, Hongyang, et al.. (2020). The Interpretable Fast Multi-Scale Deep Decoder for the Standard HEVC Bitstreams. IEEE Transactions on Multimedia. 22(7). 1680–1691. 9 indexed citations
9.
Li, Yehao, Ting Yao, Yingwei Pan, Hongyang Chao, & Tao Mei. (2019). Deep Metric Learning With Density Adaptivity. IEEE Transactions on Multimedia. 22(5). 1285–1297. 11 indexed citations
10.
Huang, Ling, Chang‐Dong Wang, & Hongyang Chao. (2019). HM-Modularity: A Harmonic Motif Modularity Approach for Multi-Layer Network Community Detection. IEEE Transactions on Knowledge and Data Engineering. 33(6). 2520–2533. 31 indexed citations
11.
Huang, Ling, Chang‐Dong Wang, Hongyang Chao, & Philip S. Yu. (2019). MVStream: Multiview Data Stream Clustering. IEEE Transactions on Neural Networks and Learning Systems. 31(9). 3482–3496. 46 indexed citations
12.
Huang, Ling, Zhilin Zhao, Chang‐Dong Wang, Dong Huang, & Hongyang Chao. (2019). LSCD: Low-rank and sparse cross-domain recommendation. Neurocomputing. 366. 86–96. 32 indexed citations
13.
Huang, Ling, Chang‐Dong Wang, Hongyang Chao, Jianhuang Lai, & Philip S. Yu. (2019). A Score Prediction Approach for Optional Course Recommendation via Cross-User-Domain Collaborative Filtering. IEEE Access. 7. 19550–19563. 60 indexed citations
14.
Huang, Ling, Chang‐Dong Wang, & Hongyang Chao. (2019). oComm: Overlapping Community Detection in Multi-View Brain Network. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18(4). 1582–1595. 11 indexed citations
15.
Zeng, Zhaoyang, Bei Liu, Jianlong Fu, Hongyang Chao, & Lei Zhang. (2019). WSOD2: Learning Bottom-Up and Top-Down Objectness Distillation for Weakly-Supervised Object Detection. 8291–8299. 98 indexed citations
16.
Huang, Ling, Hongyang Chao, & Chang‐Dong Wang. (2018). Multi-view intact space clustering. Pattern Recognition. 86. 344–353. 92 indexed citations
17.
Chen, Jingwen, Ting Yao, & Hongyang Chao. (2018). See and chat: automatically generating viewer-level comments on images. Multimedia Tools and Applications. 78(3). 2689–2702. 3 indexed citations
18.
Li, Yehao, Ting Yao, Yingwei Pan, Hongyang Chao, & Tao Mei. (2018). Jointly Localizing and Describing Events for Dense Video Captioning. 7492–7500. 110 indexed citations
19.
Baghaie, Ahmadreza, et al.. (2017). Slanted support window-based stereo matching for surface reconstruction of microscopic samples. Micron. 103. 12–21. 1 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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