Chunfang Yang

1.6k total citations
94 papers, 1.2k citations indexed

About

Chunfang Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Chunfang Yang has authored 94 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 8 papers in Signal Processing. Recurrent topics in Chunfang Yang's work include Advanced Steganography and Watermarking Techniques (79 papers), Digital Media Forensic Detection (68 papers) and Chaos-based Image/Signal Encryption (50 papers). Chunfang Yang is often cited by papers focused on Advanced Steganography and Watermarking Techniques (79 papers), Digital Media Forensic Detection (68 papers) and Chaos-based Image/Signal Encryption (50 papers). Chunfang Yang collaborates with scholars based in China, France and United Kingdom. Chunfang Yang's co-authors include Fenlin Liu, Xiangyang Luo, Yi Zhang, Xiaofeng Song, Lingyun Xiang, Xiangyang Luo, Ping Wang, Dengpan Ye, Wenshuai Wu and Xu Li and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Geoscience and Remote Sensing and IEEE Access.

In The Last Decade

Chunfang Yang

85 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chunfang Yang China 19 1.1k 196 79 75 54 94 1.2k
Nazir A. Loan India 13 884 0.8× 130 0.7× 88 1.1× 105 1.4× 110 2.0× 17 1.0k
Ali Al‐Haj Jordan 18 1.1k 1.1× 103 0.5× 116 1.5× 182 2.4× 107 2.0× 57 1.2k
Basant Kumar India 14 601 0.6× 90 0.5× 91 1.2× 66 0.9× 62 1.1× 39 714
Khaled Loukhaoukha Canada 14 652 0.6× 92 0.5× 113 1.4× 61 0.8× 31 0.6× 30 698
Xiaotian Wu China 20 1.2k 1.1× 288 1.5× 23 0.3× 63 0.8× 62 1.1× 70 1.3k
Zhenxing Qian China 26 2.2k 2.1× 314 1.6× 77 1.0× 144 1.9× 79 1.5× 103 2.3k
Sheng-He Sun China 14 640 0.6× 83 0.4× 55 0.7× 118 1.6× 35 0.6× 64 769
Fangjun Huang China 18 1.5k 1.4× 106 0.5× 103 1.3× 76 1.0× 43 0.8× 45 1.5k
Linlin Zong China 13 613 0.6× 474 2.4× 126 1.6× 63 0.8× 73 1.4× 41 868

Countries citing papers authored by Chunfang Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chunfang Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunfang Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Chunfang Yang. A scholar is included among the top collaborators of Chunfang Yang 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 Chunfang Yang. Chunfang Yang 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.
Su, Jinshu, et al.. (2025). Toward an Effective Few-Shot Website Fingerprinting Attack With Quadruplet Networks and Deep Local Fingerprinting Features. IEEE Transactions on Dependable and Secure Computing. 22(5). 5152–5169.
2.
Yang, Chunfang, et al.. (2025). BotCF: Improving the Social Bot Detection Performance By Focusing on the Community Features. IEEE Transactions on Network and Service Management. 22(6). 5404–5418.
3.
Xiang, Lingyun, et al.. (2024). Linguistic steganalysis via multi-task with crossing generative-natural domain. Neurocomputing. 603. 128260–128260. 1 indexed citations
4.
Yang, Chunfang, et al.. (2024). 4SCIG: A Four-Branch Framework to Reduce the Interference of Sky Area in Cross-View Image Geo-Localization. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–18. 3 indexed citations
5.
Liu, Fenlin, et al.. (2023). Image Steganalysis Based on Deep Content Features Clustering. Computers, materials & continua/Computers, materials & continua (Print). 76(3). 2921–2936. 2 indexed citations
6.
Xiang, Lingyun, et al.. (2023). PNG-Stega: Progressive Non-Autoregressive Generative Linguistic Steganography. IEEE Signal Processing Letters. 30. 528–532. 4 indexed citations
7.
Yang, Chunfang, et al.. (2022). An Improved Purdue Enterprise Reference Architecture to Enhance Cybersecurity. 104–109. 3 indexed citations
8.
Yang, Chunfang, et al.. (2022). Image Geolocation Method Based on Attention Mechanism Front Loading and Feature Fusion. Wireless Communications and Mobile Computing. 2022(1).
9.
Qiao, Tong, et al.. (2022). Novel Hidden Bit Location Method towards JPEG Steganography. Security and Communication Networks. 2022. 1–13. 6 indexed citations
10.
Yang, Chunfang, et al.. (2021). JPEG image steganography payload location based on optimal estimation of cover co-frequency sub-image. EURASIP Journal on Image and Video Processing. 2021(1). 22 indexed citations
11.
Liu, Fenlin, et al.. (2021). Feature Selection of the Rich Model Based on the Correlation of Feature Components. Security and Communication Networks. 2021. 1–12. 2 indexed citations
12.
Luo, Xiangyang, et al.. (2021). Inverse Interpolation and Its Application in Robust Image Steganography. IEEE Transactions on Circuits and Systems for Video Technology. 32(6). 4052–4064. 17 indexed citations
13.
Wang, Jinwei, et al.. (2021). PRUDA: A Novel Measurement Attribute Set towards Robust Steganography in Social Networks. Security and Communication Networks. 2021. 1–15. 2 indexed citations
14.
Yang, Chunfang, et al.. (2020). Color image steganalysis based on embedding change probabilities in differential channels. International Journal of Distributed Sensor Networks. 16(5). 812444550–812444550. 10 indexed citations
15.
Yang, Chunfang, et al.. (2020). Payload location for JPEG image steganography based on co-frequency sub-image filtering. International Journal of Distributed Sensor Networks. 16(1). 812342724–812342724. 18 indexed citations
16.
Tan, Lei, et al.. (2020). Steganalysis of homogeneous-representation based steganography for high dynamic range images. Multimedia Tools and Applications. 79(27-28). 20079–20105. 3 indexed citations
17.
Liu, Fenlin, et al.. (2019). Color image steganalysis based on channel gradient correlation. International Journal of Distributed Sensor Networks. 15(5). 812337971–812337971. 12 indexed citations
18.
Zhou, Gang, et al.. (2019). Steganalysis of Content-Adaptive Steganography Based on Massive Datasets Pre-Classification and Feature Selection. IEEE Access. 7. 21702–21711. 13 indexed citations
19.
Liu, Fenlin, et al.. (2018). Blind forensics of image gamma transformation and its application in splicing detection. Journal of Visual Communication and Image Representation. 55. 80–90. 16 indexed citations
20.
Xiang, Lingyun, et al.. (2018). A Word-Embedding-Based Steganalysis Method for Linguistic Steganography via Synonym Substitution. IEEE Access. 6. 64131–64141. 17 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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