Fenlin Liu

2.6k total citations
172 papers, 1.7k citations indexed

About

Fenlin Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Fenlin Liu has authored 172 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Computer Vision and Pattern Recognition, 43 papers in Artificial Intelligence and 35 papers in Computer Networks and Communications. Recurrent topics in Fenlin Liu's work include Advanced Steganography and Watermarking Techniques (94 papers), Digital Media Forensic Detection (76 papers) and Chaos-based Image/Signal Encryption (65 papers). Fenlin Liu is often cited by papers focused on Advanced Steganography and Watermarking Techniques (94 papers), Digital Media Forensic Detection (76 papers) and Chaos-based Image/Signal Encryption (65 papers). Fenlin Liu collaborates with scholars based in China, France and United Kingdom. Fenlin Liu's co-authors include Xiangyang Luo, Chunfang Yang, Yi Zhang, Xiaofeng Song, Chuan Qin, Weiming Zhang, Bin Lu, Xin Ge, Yanqing Guo and Xiangyang Luo and has published in prestigious journals such as Journal of Clinical Oncology, Scientific Reports and IEEE Access.

In The Last Decade

Fenlin Liu

160 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fenlin Liu China 21 1.3k 350 199 185 179 172 1.7k
Tung-Shou Chen Taiwan 28 2.6k 2.0× 341 1.0× 82 0.4× 205 1.1× 113 0.6× 123 2.9k
Tzung‐Her Chen Taiwan 22 1.5k 1.1× 521 1.5× 237 1.2× 106 0.6× 271 1.5× 88 1.7k
Arup Kumar Pal India 21 909 0.7× 196 0.6× 339 1.7× 144 0.8× 345 1.9× 91 1.4k
Guangjie Liu China 18 899 0.7× 406 1.2× 281 1.4× 192 1.0× 138 0.8× 136 1.4k
Kaspar Riesen Switzerland 19 945 0.7× 747 2.1× 107 0.5× 232 1.3× 132 0.7× 57 1.3k
Javaid A. Sheikh India 20 1.3k 1.0× 152 0.4× 114 0.6× 152 0.8× 134 0.7× 91 1.6k
Jie Ling China 14 247 0.2× 302 0.9× 212 1.1× 106 0.6× 226 1.3× 73 739
Ashwani Kumar Yadav India 14 617 0.5× 293 0.8× 123 0.6× 22 0.1× 170 0.9× 47 932
Lide Wu China 19 602 0.5× 703 2.0× 144 0.7× 171 0.9× 146 0.8× 85 1.3k
Alaa Kadhim Farhan Iraq 16 468 0.4× 312 0.9× 126 0.6× 108 0.6× 93 0.5× 85 780

Countries citing papers authored by Fenlin Liu

Since Specialization
Citations

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

Fields of papers citing papers by Fenlin Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fenlin Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Fenlin Liu. A scholar is included among the top collaborators of Fenlin Liu 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 Fenlin Liu. Fenlin Liu 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.
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.
2.
Liu, Fenlin, et al.. (2024). Landmark-v6: A stable IPv6 landmark representation method based on multi-feature clustering. Information Processing & Management. 62(1). 103921–103921.
3.
Liu, Fenlin, et al.. (2024). Dual Graph Convolutional Networks for Social Network Alignment. IEEE Transactions on Big Data. 11(2). 684–695. 4 indexed citations
4.
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
5.
Tan, Lei, et al.. (2023). Meta-path fusion based neural recommendation in heterogeneous information networks. Neurocomputing. 529. 236–248. 8 indexed citations
6.
Yang, Chunfang, et al.. (2023). Accou2vec: A Social Bot Detection Model Based on Community Walk. IEEE Transactions on Dependable and Secure Computing. 23(2). 1751–1766. 8 indexed citations
7.
Luo, Xiangyang, et al.. (2022). An Efficient Geolocation Method for Malicious LBSD Users Based on Dynamic Adjustment of Probes. Wireless Communications and Mobile Computing. 2022(1). 1 indexed citations
8.
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
9.
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
10.
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
11.
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
12.
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
13.
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
14.
Zhang, Yue, Xiangyang Luo, Yanqing Guo, Chuan Qin, & Fenlin Liu. (2019). Zernike Moment-Based Spatial Image Steganography Resisting Scaling Attack and Statistic Detection. IEEE Access. 7. 24282–24289. 19 indexed citations
15.
Zhang, Yi, Xiangyang Luo, Yanqing Guo, Chuan Qin, & Fenlin Liu. (2019). Multiple Robustness Enhancements for Image Adaptive Steganography in Lossy Channels. IEEE Transactions on Circuits and Systems for Video Technology. 30(8). 2750–2764. 64 indexed citations
16.
Liu, Fenlin, et al.. (2019). A High Completeness PoP Partition Algorithm for IP Geolocation. IEEE Access. 7. 28340–28355. 3 indexed citations
17.
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
18.
Liu, Fenlin. (2007). Chaotic encryption scheme based on control character. Jisuanji gongcheng yu sheji. 1 indexed citations
19.
Wang, Ping, Xiangyang Luo, & Fenlin Liu. (2006). An Improved Secret Key Estimation Method for Sequential Steganography. 396–402.
20.
Liu, Fenlin, Lipeng Yuan, Wei Hao, & Siying Zhang. (2001). Decentralized adaptive output feedback stabilization for a class of interconnected systems with unknown bound of uncertainties.. Systems Science. 27. 35–46. 1 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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