Heyou Chang

406 total citations
24 papers, 278 citations indexed

About

Heyou Chang is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Media Technology. According to data from OpenAlex, Heyou Chang has authored 24 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 7 papers in Computational Mechanics and 7 papers in Media Technology. Recurrent topics in Heyou Chang's work include Face and Expression Recognition (11 papers), Sparse and Compressive Sensing Techniques (7 papers) and Remote-Sensing Image Classification (6 papers). Heyou Chang is often cited by papers focused on Face and Expression Recognition (11 papers), Sparse and Compressive Sensing Techniques (7 papers) and Remote-Sensing Image Classification (6 papers). Heyou Chang collaborates with scholars based in China, United Kingdom and Japan. Heyou Chang's co-authors include Jian Yang, Meng Yang, Weixin Luo, Jun Li, Guangwei Gao, Dong Yue, Hao Zheng, Yi Yu, Pu Huang and Fanlong Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Heyou Chang

20 papers receiving 267 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Heyou Chang China	10	194	89	71	66	38	24	278
Zuofeng Zhong China	7	307 1.6×	83 0.9×	89 1.3×	78 1.2×	52 1.4×	12	360
Shiqiang Ma China	7	175 0.9×	55 0.6×	22 0.3×	34 0.5×	37 1.0×	21	263
Wangmeng Zuo China	9	212 1.1×	45 0.5×	43 0.6×	48 0.7×	47 1.2×	18	279
Zilan Hu China	7	229 1.2×	101 1.1×	43 0.6×	64 1.0×	37 1.0×	10	293
Vanika Singhal India	9	146 0.8×	108 1.2×	55 0.8×	49 0.7×	21 0.6×	19	305
Yipeng Qin United Kingdom	9	145 0.7×	54 0.6×	68 1.0×	25 0.4×	15 0.4×	34	273
Xi’ai Chen China	8	215 1.1×	24 0.3×	89 1.3×	123 1.9×	24 0.6×	32	290
Jaishanker K. Pillai United States	10	291 1.5×	67 0.8×	34 0.5×	34 0.5×	140 3.7×	13	386
Ben Yang China	10	320 1.6×	185 2.1×	32 0.5×	59 0.9×	26 0.7×	33	415
Tuan Hoang Australia	10	205 1.1×	101 1.1×	34 0.5×	22 0.3×	29 0.8×	29	337

Countries citing papers authored by Heyou Chang

Since Specialization

Citations

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

Fields of papers citing papers by Heyou Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heyou Chang

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

All Works

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20 of 20 papers shown

Wu, Yang, et al.. (2025). Energetics of Eddy–Mean Flow Interaction in the Kuroshio Current Region. Journal of Marine Science and Engineering. 13(7). 1304–1304.

Dou, Rui, et al.. (2023). A Decoder Structure Guided CNN‐Transformer Network for face super‐resolution. IET Computer Vision. 18(4). 473–484.

Chang, Heyou, Guangwei Gao, Yang Chen, & Hao Zheng. (2023). Multi-task Contexture Learning Network for automated vertebrae segmentation and tumor diagnosis from MRI. Computers & Electrical Engineering. 113. 109032–109032. 2 indexed citations

Jiang, Jielin, et al.. (2023). Face Super-Resolution via Joint Edge Information and Attention Aggregation Network. Computers & Electrical Engineering. 111. 108931–108931. 4 indexed citations

Zhao, Shen, Bin Chen, Heyou Chang, Bo Chen, & Shuo Li. (2022). Reasoning discriminative dictionary-embedded network for fully automatic vertebrae tumor diagnosis. Medical Image Analysis. 79. 102456–102456. 15 indexed citations

Wang, Yintong, Yingjie Yang, Haiyan Chen, Hao Zheng, & Heyou Chang. (2022). End-to-end Handwritten Chinese Paragraph Text Recognition Using Residual Attention Networks. Intelligent Automation & Soft Computing. 34(1). 371–388. 2 indexed citations

Chang, Heyou, Fanlong Zhang, Shuai Ma, et al.. (2021). Unsupervised domain adaptation based on cluster matching and Fisher criterion for image classification. Computers & Electrical Engineering. 91. 107041–107041. 12 indexed citations

Gao, Guangwei, Dong Zhu, Huimin Lu, et al.. (2021). Robust Facial Image Super-Resolution by Kernel Locality-Constrained Coupled-Layer Regression. ACM Transactions on Internet Technology. 21(3). 1–15. 2 indexed citations

Chang, Heyou, Fanlong Zhang, Guangwei Gao, & Hao Zheng. (2020). Graph-structure constraint and Schatten p-norm-based unsupervised domain adaptation for image classification. Journal of Ambient Intelligence and Humanized Computing. 13(11). 5137–5149. 3 indexed citations

10.

Chang, Heyou, Hui Tang, Fanlong Zhang, Yang Chen, & Hao Zheng. (2019). Graph-Regularized Discriminative Analysis-Synthesis Dictionary Pair Learning for Image Classification. IEEE Access. 7. 55398–55406. 10 indexed citations

11.

Gao, Guangwei, Yannan Wang, Pu Huang, et al.. (2019). Locality-constrained feature space learning for cross-resolution sketch-photo face recognition. Multimedia Tools and Applications. 79(21-22). 14903–14917. 1 indexed citations

12.

Fang, Hsu-Wei, et al.. (2018). ENDMEMBER EXTRACTION OF HIGHLY MIXED DATA USING L₁ SPARSITY-CONSTRAINED MULTILAYER NONNEGATIVE MATRIX FACTORIZATION. SHILAP Revista de lepidopterología. XLII-3. 329–333.

13.

Li, Jun, Heyou Chang, Jian Yang, Wei Luo, & Yun Fu. (2017). Visual Representation and Classification by Learning Group Sparse Deep Stacking Network. IEEE Transactions on Image Processing. 27(1). 464–476. 16 indexed citations

14.

Yang, Meng, Heyou Chang, Weixin Luo, & Jian Yang. (2017). Fisher discrimination dictionary pair learning for image classification. Neurocomputing. 269. 13–20. 24 indexed citations

15.

Chang, Heyou, Lei Luo, Jian Yang, & Meng Yang. (2016). Schatten p-norm based principal component analysis. Neurocomputing. 207. 754–762. 7 indexed citations

16.

Chang, Heyou, Meng Yang, & Jian Yang. (2016). Learning a structure adaptive dictionary for sparse representation based classification. Neurocomputing. 190. 124–131. 28 indexed citations

17.

Yang, Meng, et al.. (2015). Robust local representation for face recognition with single sample per person. 33. 11–15. 4 indexed citations

18.

Li, Jun, Heyou Chang, & Jian Yang. (2015). Sparse Deep Stacking Network for Image Classification. Proceedings of the AAAI Conference on Artificial Intelligence. 29(1). 41 indexed citations

19.

Li, Jun, Heyou Chang, & Jian Yang. (2014). Learning discriminative low-rank representation for image classification. 313–318. 9 indexed citations

20.

Yang, Jian, et al.. (2013). Enhanced iterative projection for subclass discriminant analysis under EM-alike framework. Pattern Recognition. 47(3). 1113–1125. 10 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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