Kunlin Liu

536 total citations
18 papers, 292 citations indexed

About

Kunlin Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Kunlin Liu has authored 18 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 3 papers in Signal Processing. Recurrent topics in Kunlin Liu's work include Generative Adversarial Networks and Image Synthesis (9 papers), Digital Media Forensic Detection (6 papers) and Face recognition and analysis (5 papers). Kunlin Liu is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (9 papers), Digital Media Forensic Detection (6 papers) and Face recognition and analysis (5 papers). Kunlin Liu collaborates with scholars based in China, United States and Switzerland. Kunlin Liu's co-authors include Weiming Zhang, Nenghai Yu, Daiheng Gao, Wenbo Zhou, Dongdong Chen, Hang Zhou, Jing Liao, Kejiang Chen, Xiaoyi Dong and Gang Hua and has published in prestigious journals such as Environmental Pollution, Pattern Recognition and Information Sciences.

In The Last Decade

Kunlin Liu

17 papers receiving 284 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kunlin Liu China 8 210 113 29 25 14 18 292
Daiheng Gao China 6 172 0.8× 47 0.4× 20 0.7× 17 0.7× 21 1.5× 12 201
Yiwei Ma China 8 295 1.4× 109 1.0× 15 0.5× 13 0.5× 8 0.6× 15 340
Zhuangzi Li China 10 169 0.8× 35 0.3× 25 0.9× 7 0.3× 11 0.8× 16 237
Ligong Han United States 8 207 1.0× 58 0.5× 15 0.5× 13 0.5× 48 3.4× 19 278
Wentao Jiang China 8 174 0.8× 30 0.3× 18 0.6× 11 0.4× 13 0.9× 30 236
Yuchao Gu Singapore 3 165 0.8× 26 0.2× 12 0.4× 19 0.8× 42 3.0× 7 202
Willi Menapace United States 7 91 0.4× 55 0.5× 23 0.8× 11 0.4× 30 2.1× 18 146
Graham McNeill United Kingdom 7 219 1.0× 12 0.1× 19 0.7× 18 0.7× 8 0.6× 13 252
Marguerite Moore United States 5 297 1.4× 19 0.2× 8 0.3× 27 1.1× 9 0.6× 7 367

Countries citing papers authored by Kunlin Liu

Since Specialization
Citations

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

Fields of papers citing papers by Kunlin Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kunlin Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Kunlin Liu. A scholar is included among the top collaborators of Kunlin 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 Kunlin Liu. Kunlin Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Liu, Kunlin, et al.. (2025). Robust learning of the modified Huber loss. Analysis and Applications. 23(5). 757–776. 1 indexed citations
2.
Li, Yiwei, et al.. (2025). A Robust Distributed Recurrent Neural Network for Multi-Agent Consensus Control. 1–5. 1 indexed citations
3.
Zhou, Wenbo, et al.. (2024). ControlFace: Feature Disentangling for Controllable Face Swapping. Journal of Imaging. 10(1). 21–21.
4.
Wang, Huihui, Zeyu Zhang, Xinhui Liu, et al.. (2024). Spatio-temporal evolution mechanism and dynamic simulation of nitrogen and phosphorus pollution of the Yangtze River economic Belt in China. Environmental Pollution. 357. 124402–124402. 10 indexed citations
5.
Wang, Shuyue, Huagang Sheng, Jingna Li, et al.. (2023). Study on the mechanism of stir-fried Fructus Tribuli in enhancing the essential hypertension treatment by an integrated "spectrum-effect relationship-network pharmacology-metabolomics" strategy. Biomedicine & Pharmacotherapy. 165. 115160–115160. 7 indexed citations
6.
Liu, Kunlin, et al.. (2023). Deepfacelab: Integrated, flexible and extensible face-swapping framework. Pattern Recognition. 141. 109628–109628. 65 indexed citations
7.
Liu, Kunlin, Wenbo Zhou, Zhenyu Zhang, et al.. (2023). Measuring the Consistency and Diversity of 3D Face Generation. IEEE Journal of Selected Topics in Signal Processing. 17(6). 1208–1220. 1 indexed citations
8.
Liu, Honggu, Wenbo Zhou, Dongdong Chen, et al.. (2022). Coherent adversarial deepfake video generation. Signal Processing. 203. 108790–108790. 4 indexed citations
9.
Wang, Ping, Kunlin Liu, Wenbo Zhou, et al.. (2022). ADT: Anti-Deepfake Transformer. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2899–2903. 12 indexed citations
10.
Chen, H.F., Weiming Zhang, Kunlin Liu, et al.. (2022). Speech Pattern Based Black-Box Model Watermarking for Automatic Speech Recognition. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 3059–3063. 6 indexed citations
11.
Tai, Ying, Weijian Cao, Renwang Chen, et al.. (2022). Physically-guided Disentangled Implicit Rendering for 3D Face Modeling. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 20321–20331. 3 indexed citations
12.
Liu, Kunlin, Dongdong Chen, Jing Liao, et al.. (2021). JPEG Robust Invertible Grayscale. IEEE Transactions on Visualization and Computer Graphics. 28(12). 4403–4417. 12 indexed citations
13.
Liu, Kunlin, et al.. (2021). Face Swapping Consistency Transfer with Neural Identity Carrier. Future Internet. 13(11). 298–298. 3 indexed citations
14.
Cui, Hao, Kunlin Liu, Hang Zhou, et al.. (2021). : Color decomposition-based adversarial examples for screen devices. Information Sciences. 569. 287–301. 1 indexed citations
15.
Wang, Yaofei, et al.. (2020). BBC++: Enhanced Block Boundary Continuity on Defining Non-Additive Distortion for JPEG Steganography. IEEE Transactions on Circuits and Systems for Video Technology. 31(5). 2082–2088. 19 indexed citations
16.
Zhou, Hang, Dongdong Chen, Jing Liao, et al.. (2020). LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud Based Deep Networks. 10353–10362. 72 indexed citations
17.
Gao, Daiheng, et al.. (2020). DeepFaceLab: A simple, flexible and extensible face swapping framework.. 74 indexed citations
18.
Lu, Mi & Kunlin Liu. (1997). Parallel algorithm for householder transformation with applications to Ill-conditioned problems. International Journal of Computer Mathematics. 64(1-2). 89–101. 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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