Caiyong Wang

515 total citations
24 papers, 264 citations indexed

About

Caiyong Wang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology. According to data from OpenAlex, Caiyong Wang has authored 24 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 13 papers in Signal Processing and 4 papers in Media Technology. Recurrent topics in Caiyong Wang's work include Biometric Identification and Security (13 papers), Face recognition and analysis (6 papers) and Retinal Imaging and Analysis (4 papers). Caiyong Wang is often cited by papers focused on Biometric Identification and Security (13 papers), Face recognition and analysis (6 papers) and Retinal Imaging and Analysis (4 papers). Caiyong Wang collaborates with scholars based in China, Australia and India. Caiyong Wang's co-authors include Zhenan Sun, Yunlong Wang, Zhaofeng He, Jawad Muhammad, Ran He, Yunfan Liu, Kunbo Zhang, Yong He, Umapada Pal and Yong He and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Information Forensics and Security and Image and Vision Computing.

In The Last Decade

Caiyong Wang

21 papers receiving 254 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Caiyong Wang China	8	158	137	44	34	30	24	264
Abduljalil Radman Malaysia	9	151 1.0×	141 1.0×	59 1.3×	14 0.4×	17 0.6×	31	306
Ricardo Santos Portugal	5	290 1.8×	210 1.5×	107 2.4×	33 1.0×	61 2.0×	10	393
Abhishek Gangwar India	7	232 1.5×	193 1.4×	70 1.6×	11 0.3×	61 2.0×	13	301
Sílvio Filipe Portugal	4	292 1.8×	244 1.8×	108 2.5×	34 1.0×	61 2.0×	6	411
Lingyu Wang Singapore	6	296 1.9×	184 1.3×	91 2.1×	31 0.9×	94 3.1×	9	372
Peter Rot Slovenia	7	180 1.1×	199 1.5×	45 1.0×	69 2.0×	10 0.3×	12	310
Shejin Thavalengal Ireland	10	248 1.6×	152 1.1×	156 3.5×	16 0.5×	35 1.2×	15	300
Siliang Ma China	7	82 0.5×	108 0.8×	21 0.5×	27 0.8×	45 1.5×	16	204
Hyeon Chang Lee South Korea	9	318 2.0×	185 1.4×	78 1.8×	20 0.6×	135 4.5×	10	373
Kiran B. Raja Norway	12	396 2.5×	305 2.2×	181 4.1×	17 0.5×	46 1.5×	31	474

Countries citing papers authored by Caiyong Wang

Since Specialization

Citations

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

Fields of papers citing papers by Caiyong Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caiyong Wang

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

Yan, Feihu, et al.. (2025). TGNF-Net: Two-Stage Geometric Neighborhood Fusion Network for Category-Level 6D Pose Estimation. Information. 16(2). 113–113.

Jiang, Jian, Qi Zhang, & Caiyong Wang. (2025). SAM-Iris: A SAM-Based Iris Segmentation Algorithm. Electronics. 14(2). 246–246. 1 indexed citations

Ruan, Tao, et al.. (2024). Expression-aware neural radiance fields for high-fidelity talking portrait synthesis. Image and Vision Computing. 147. 105075–105075. 2 indexed citations

Zhou, Pengpeng, et al.. (2024). An improved hierarchical neural network model with local and global feature matching for script event prediction. Expert Systems with Applications. 259. 125325–125325.

Wang, Caiyong, et al.. (2024). IrisFormer: A Dedicated Transformer Framework for Iris Recognition. IEEE Signal Processing Letters. 32. 431–435. 1 indexed citations

Wang, Caiyong, et al.. (2024). Sclera-TransFuse: Fusing Vision Transformer and CNN for Accurate Sclera Segmentation and Recognition. IEEE Transactions on Biometrics Behavior and Identity Science. 6(4). 575–590. 1 indexed citations

Muhammad, Jawad, Caiyong Wang, Yunlong Wang, Kunbo Zhang, & Zhenan Sun. (2023). IrisGuideNet: Guided Localization and Segmentation Network for Unconstrained Iris Biometrics. IEEE Transactions on Information Forensics and Security. 18. 2723–2736. 7 indexed citations

Wang, Caiyong, et al.. (2023). MetaScleraSeg: an effective meta-learning framework for generalized sclera segmentation. Neural Computing and Applications. 35(29). 21797–21826. 5 indexed citations

Li, Haiqing, Caiyong Wang, Guangzhe Zhao, et al.. (2023). Sclera-TransFuse: Fusing Swin Transformer and CNN for Accurate Sclera Segmentation. 1–8. 2 indexed citations

10.

Zhou, Pengpeng, et al.. (2022). What happens next? Combining enhanced multilevel script learning and dual fusion strategies for script event prediction. International Journal of Intelligent Systems. 37(11). 10001–10040. 3 indexed citations

11.

Wang, Caiyong, et al.. (2022). D-ESRGAN: A Dual-Encoder GAN with Residual CNN and Vision Transformer for Iris Image Super-Resolution. 1–8. 1 indexed citations

12.

Wang, Caiyong, et al.. (2022). Multitask deep active contour-based iris segmentation for off-angle iris images. Journal of Electronic Imaging. 31(4). 3 indexed citations

13.

Wang, Caiyong, et al.. (2022). A Symmetrical Encoder-Decoder Network with Transformer for Noise-Robust Iris Segmentation. Journal of Computer-Aided Design & Computer Graphics. 34(12). 1887–1898. 2 indexed citations

14.

He, Zhaofeng, et al.. (2022). Generating Intra- and Inter-Class Iris Images by Identity Contrast. 1–7. 2 indexed citations

15.

Muhammad, Jawad, Yunlong Wang, Caiyong Wang, Kunbo Zhang, & Zhenan Sun. (2021). CASIA-Face-Africa: A Large-Scale African Face Image Database. IEEE Transactions on Information Forensics and Security. 16. 3634–3646. 16 indexed citations

16.

Lan, Chuwen, et al.. (2021). Deep learningsuper‐resolutionelectron microscopy based on deep residual attention network. International Journal of Imaging Systems and Technology. 31(4). 2158–2169. 9 indexed citations

17.

Wang, Caiyong, Jawad Muhammad, Yunlong Wang, Zhaofeng He, & Zhenan Sun. (2020). Towards Complete and Accurate Iris Segmentation Using Deep Multi-Task Attention Network for Non-Cooperative Iris Recognition. IEEE Transactions on Information Forensics and Security. 15. 2944–2959. 121 indexed citations

18.

Wang, Caiyong & Zhenan Sun. (2020). A Benchmark for Iris Segmentation. 57(2). 395. 5 indexed citations

19.

Wang, Caiyong, et al.. (2020). A Lightweight Multi-Label Segmentation Network for Mobile Iris Biometrics. 1006–1010. 12 indexed citations

20.

Wang, Caiyong, Yong He, Yunfan Liu, et al.. (2019). ScleraSegNet: an Improved U-Net Model with Attention for Accurate Sclera Segmentation. 1–8. 19 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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