Fangjun Huang

2.3k total citations · 1 hit paper
45 papers, 1.5k citations indexed

About

Fangjun Huang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Fangjun Huang has authored 45 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 3 papers in Signal Processing. Recurrent topics in Fangjun Huang's work include Digital Media Forensic Detection (34 papers), Advanced Steganography and Watermarking Techniques (33 papers) and Chaos-based Image/Signal Encryption (23 papers). Fangjun Huang is often cited by papers focused on Digital Media Forensic Detection (34 papers), Advanced Steganography and Watermarking Techniques (33 papers) and Chaos-based Image/Signal Encryption (23 papers). Fangjun Huang collaborates with scholars based in China, South Korea and United States. Fangjun Huang's co-authors include Jiwu Huang, Weiqi Luo, Yun-Qing Shi, Hyoung Joong Kim, Yun Q. Shi, Xiaochao Qu, Zhi‐Hong Guan, Suah Kim, Nan Li and Yang Xie and has published in prestigious journals such as Expert Systems with Applications, Neural Networks and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Fangjun Huang

39 papers receiving 1.4k citations

Hit Papers

Edge Adaptive Image Steganography Based on LSB Matching R... 2010 2026 2015 2020 2010 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Edge Adaptive Image Steganography Based on LSB Matching Revisited
    2010 459 citations Fangjun Huang, Jiwu Huang et al. IEEE Transactions on Information Forensics and Security profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fangjun Huang China 18 1.5k 106 103 76 43 45 1.5k
Pedro Comesaña Spain 14 538 0.4× 79 0.7× 86 0.8× 63 0.8× 27 0.6× 51 580
A. Swaminathan United States 7 628 0.4× 34 0.3× 106 1.0× 48 0.6× 46 1.1× 10 676
Tomáš Filler United States 11 735 0.5× 115 1.1× 108 1.0× 62 0.8× 46 1.1× 14 766
Andrew D. Ker United Kingdom 21 1.2k 0.8× 334 3.2× 42 0.4× 48 0.6× 31 0.7× 57 1.3k
Zhenxing Qian China 14 521 0.3× 191 1.8× 27 0.3× 57 0.8× 79 1.8× 52 697
İsmail Avcıbaş Türkiye 17 1.4k 0.9× 147 1.4× 200 1.9× 233 3.1× 73 1.7× 26 1.4k
A.M. Alattar United States 14 1.6k 1.1× 109 1.0× 42 0.4× 199 2.6× 63 1.5× 29 1.6k
M.U. Celik United States 11 1.9k 1.2× 83 0.8× 29 0.3× 120 1.6× 61 1.4× 17 1.9k
Shelby Pereira Switzerland 13 1.1k 0.7× 51 0.5× 56 0.5× 86 1.1× 43 1.0× 15 1.1k
Milad Jafari Barani Iran 11 567 0.4× 84 0.8× 22 0.2× 41 0.5× 19 0.4× 17 614

Countries citing papers authored by Fangjun Huang

Since Specialization
Citations

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

Fields of papers citing papers by Fangjun Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangjun Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Fangjun Huang. A scholar is included among the top collaborators of Fangjun Huang 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 Fangjun Huang. Fangjun Huang 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.
Fei, Jianwei, et al.. (2025). New Visible Watermark Protection Mechanism Based on Information Hiding. IEEE Transactions on Information Forensics and Security. 20. 7764–7776.
2.
Huang, Fangjun, et al.. (2024). Fast hypercomplex continuous orthogonal moments. Expert Systems with Applications. 257. 125056–125056. 1 indexed citations
3.
Huang, Fangjun, et al.. (2024). Evading DeepFake Detectors via Conditional Diffusion Models. 159–164. 1 indexed citations
4.
Fei, Jianwei, et al.. (2024). Face Omron Ring: Proactive defense against face forgery with identity awareness. Neural Networks. 180. 106639–106639. 2 indexed citations
5.
Huang, Fangjun, et al.. (2024). MNet: A multi-scale network for visible watermark removal. Neural Networks. 183. 106961–106961. 1 indexed citations
6.
Huang, Fangjun, et al.. (2024). IDGuard: Robust, General, Identity-Centric POI Proactive Defense Against Face Editing Abuse. 11934–11943. 1 indexed citations
7.
Zhang, Qinghua & Fangjun Huang. (2024). Robust Generative Steganography Based on Image Mapping. IEEE Transactions on Circuits and Systems for Video Technology. 34(12). 13543–13555. 4 indexed citations
8.
Xie, Yang, Yuke Wang, & Fangjun Huang. (2024). CNN-Based Reversible Data Hiding for JPEG Images. IEEE Transactions on Circuits and Systems for Video Technology. 34(11). 11798–11809. 2 indexed citations
9.
Wan, Chen, Fangjun Huang, & Xianfeng Zhao. (2023). Average Gradient-Based Adversarial Attack. IEEE Transactions on Multimedia. 25. 9572–9585. 24 indexed citations
10.
Xie, Yang & Fangjun Huang. (2022). New CNN-Based Predictor for Reversible Data Hiding. IEEE Signal Processing Letters. 29. 2627–2631. 21 indexed citations
11.
Huang, Fangjun, et al.. (2021). PID-Based Approach to Adversarial Attacks. Proceedings of the AAAI Conference on Artificial Intelligence. 35(11). 10033–10040. 10 indexed citations
12.
Kim, Suah, Fangjun Huang, & Hyoung Joong Kim. (2019). Reversible Data Hiding in JPEG Images Using Quantized DC. Entropy. 21(9). 835–835. 10 indexed citations
13.
Huang, Fangjun, Xiaochao Qu, Hyoung Joong Kim, & Jiwu Huang. (2015). Local pixel patterns. Computational Visual Media. 1(2). 157–170. 2 indexed citations
14.
Huang, Fangjun, Xiaochao Qu, Hyoung Joong Kim, & Jiwu Huang. (2015). Reversible Data Hiding in JPEG Images. IEEE Transactions on Circuits and Systems for Video Technology. 26(9). 1610–1621. 150 indexed citations
15.
Huang, Fangjun & Jiwu Huang. (2009). Calibration based universal JPEG steganalysis. Science in China Series F Information Sciences. 52(2). 260–268. 9 indexed citations
16.
Huang, Fangjun. (2008). A New General Transparency Model for Block-Based Watermarking Method. International journal of network security. 7(2). 235–239. 1 indexed citations
17.
Huang, Fangjun, Bin Li, & Jiwu Huang. (2008). Universal JPEG steganalysis based on microscopic and macroscopic calibration. 2068–2071. 5 indexed citations
18.
Huang, Fangjun, Bin Li, & Jiwu Huang. (2007). Attack LSB Matching Steganography by Counting Alteration Rate of the Number of Neighbourhood Gray Levels. Proceedings - International Conference on Image Processing. I – 401. 33 indexed citations
19.
Guan, Zhi‐Hong, Fangjun Huang, & Wenjie Guan. (2005). A Generalized Chaos-Based Stream Generator. Circuits Systems and Signal Processing. 24(5). 549–555.
20.
Huang, Fangjun & Zhi‐Hong Guan. (2004). A hybrid SVD-DCT watermarking method based on LPSNR. Pattern Recognition Letters. 25(15). 1769–1775. 74 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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