Zhouyan He

448 total citations
34 papers, 228 citations indexed

About

Zhouyan He is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Media Technology. According to data from OpenAlex, Zhouyan He has authored 34 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 8 papers in Computational Mechanics and 8 papers in Media Technology. Recurrent topics in Zhouyan He's work include Image Enhancement Techniques (15 papers), Image and Video Quality Assessment (14 papers) and Advanced Steganography and Watermarking Techniques (9 papers). Zhouyan He is often cited by papers focused on Image Enhancement Techniques (15 papers), Image and Video Quality Assessment (14 papers) and Advanced Steganography and Watermarking Techniques (9 papers). Zhouyan He collaborates with scholars based in China, Taiwan and Malaysia. Zhouyan He's co-authors include Ting Luo, Gangyi Jiang, Haiyong Xu, Yang Song, Mei Yu, Mei Yu, Fen Chen, Zongju Peng, Gangyi Jiang and Chin‐Chen Chang and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Image Processing and Pattern Recognition.

In The Last Decade

Zhouyan He

26 papers receiving 226 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhouyan He China	9	169	68	47	33	31	34	228
Renjiao Yi China	8	103 0.6×	67 1.0×	17 0.4×	53 1.6×	11 0.4×	25	176
Yvain Quéau France	8	192 1.1×	48 0.7×	12 0.3×	85 2.6×	28 0.9×	27	250
Zhipeng Mo China	6	222 1.3×	62 0.9×	11 0.2×	148 4.5×	28 0.9×	11	257
Benjamin Ummenhofer Germany	7	157 0.9×	67 1.0×	37 0.8×	52 1.6×	23 0.7×	9	221
Ramesh Ashok Tabib India	7	131 0.8×	36 0.5×	44 0.9×	14 0.4×	26 0.8×	28	166
Jens Ackermann Germany	9	236 1.4×	52 0.8×	10 0.2×	143 4.3×	33 1.1×	13	296
Mario Bijelic Germany	8	118 0.7×	7 0.1×	19 0.4×	12 0.4×	43 1.4×	18	216
Jason Rock United States	5	227 1.3×	72 1.1×	24 0.5×	50 1.5×	15 0.5×	5	261
Jiaxiong Qiu China	4	247 1.5×	17 0.3×	101 2.1×	20 0.6×	21 0.7×	9	270
Jian Shi China	8	119 0.7×	6 0.1×	22 0.5×	15 0.5×	10 0.3×	28	165

Countries citing papers authored by Zhouyan He

Since Specialization

Citations

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

Fields of papers citing papers by Zhouyan He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhouyan He

This figure shows the co-authorship network connecting the top 25 collaborators of Zhouyan He. A scholar is included among the top collaborators of Zhouyan He 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 Zhouyan He. Zhouyan He 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

He, Zhouyan, Ting Luo, Gangyi Jiang, et al.. (2025). DA-Net: A Double Alignment Multimodal Learning Network for Point Cloud Quality Assessment. IEEE Transactions on Image Processing. 34. 8185–8200.

Luo, Ting, et al.. (2025). RoFDiff: Robust Hyperpansharpening via a High-Low Frequency Conditional Diffusion Model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 20005–20023.

Luo, Ting, Gangyi Jiang, Leiming Liu, et al.. (2025). LatentDark: Reflectance guided latent diffusion model for low-light image enhancement. Signal Processing. 238. 110125–110125. 2 indexed citations

Luo, Ting, Zhouyan He, Gangyi Jiang, et al.. (2025). DiffW: Multi-Encoder Based on Conditional Diffusion Model for Robust Image Watermarking. IEEE Transactions on Multimedia. 28. 837–852.

Liu, Leiming, Ting Luo, Gangyi Jiang, et al.. (2025). DiffOSR: Latitude-aware conditional diffusion probabilistic model for omnidirectional image super-resolution. Knowledge-Based Systems. 315. 113244–113244.

He, Zhouyan, Gangyi Jiang, Mei Yu, et al.. (2025). Local and Global Structure-Guided No-Reference Point Cloud Quality Assessment. IEEE Transactions on Multimedia. 27. 9252–9266.

Luo, Ting, Gangyi Jiang, Yeyao Chen, et al.. (2025). DiffDark: Multi-prior integration driven diffusion model for low-light image enhancement. Pattern Recognition. 168. 111814–111814. 3 indexed citations

Chen, Zikang, et al.. (2024). Luminance decomposition and Transformer based no-reference tone-mapped image quality assessment. Displays. 85. 102881–102881. 1 indexed citations

He, Zhouyan, et al.. (2024). Joint Luminance-Saliency Prior and Attention for Underwater Image Quality Assessment. Remote Sensing. 16(16). 3021–3021. 4 indexed citations

10.

Luo, Ting, et al.. (2024). CAISFormer: Channel-wise attention transformer for image steganography. Neurocomputing. 603. 128295–128295. 6 indexed citations

11.

Luo, Ting, et al.. (2024). No-Reference Quality Assessment Based on Dual-Channel Convolutional Neural Network for Underwater Image Enhancement. Electronics. 13(22). 4451–4451.

12.

Luo, Ting, et al.. (2024). WFormer: A Transformer-Based Soft Fusion Model for Robust Image Watermarking. IEEE Transactions on Emerging Topics in Computational Intelligence. 8(6). 4179–4196. 4 indexed citations

13.

Luo, Ting, Zhouyan He, Gangyi Jiang, et al.. (2024). StegMamba: Distortion-Free Immune-Cover for Multi-Image Steganography With State Space Model. IEEE Transactions on Circuits and Systems for Video Technology. 35(5). 4576–4591. 2 indexed citations

14.

Jiang, Guowei, Ting Luo, Haiyong Xu, et al.. (2024). GDAFormer: Gradient-guided Dual Attention Transformer for Low-Dose CT image denoising. Biomedical Signal Processing and Control. 94. 106260–106260. 5 indexed citations

15.

Luo, Ting, et al.. (2023). CEWformer: A Transformer-Based Collaborative Network for Simultaneous Underwater Image Enhancement and Watermarking. IEEE Journal of Oceanic Engineering. 49(1). 30–47. 10 indexed citations

16.

Jiang, Guowei, et al.. (2023). RDD-net: Robust duplicated-diffusion watermarking based on deep network. Journal of Visual Communication and Image Representation. 96. 103934–103934. 1 indexed citations

17.

He, Zhouyan, et al.. (2023). Shrinkage and Redundant Feature Elimination Network-Based Robust Image Zero-Watermarking. Symmetry. 15(5). 964–964. 4 indexed citations

18.

Zhong, Caiming, et al.. (2023). Blind quality assessment of multi-exposure fused images considering the detail, structure and color characteristics. PLoS ONE. 18(4). e0283096–e0283096. 2 indexed citations

19.

He, Zhouyan, et al.. (2023). A bilateral attention based generative adversarial network for DIBR 3D image watermarking. Journal of Visual Communication and Image Representation. 92. 103794–103794. 1 indexed citations

20.

He, Zhouyan, et al.. (2021). A Novel Zero Watermarking Based on DT-CWT and Quaternion for HDR Image. Electronics. 10(19). 2385–2385. 4 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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