Kunlin Liu

557 citations
17 papers · 307 · h-index 8

Impact in

Papers in

    • Generative Adversarial Networks and Image Synthesis 9
    • Digital Media Forensic Detection 6
    • Face recognition and analysis 5
    • Advanced Steganography and Watermarking Techniques 2
    • Advanced Image Processing Techniques 2
    • Adversarial Robustness in Machine Learning 4
    • Anomaly Detection Techniques and Applications 3

Kunlin Liu

16 papers receiving 302 citations

Peers

Kunlin Liu
Comparison fields: 5 of 64
  • Computer Vision and Pattern Recognition 215
  • Computer Graphics and Computer-Aided Design 14
  • Artificial Intelligence 116
  • Signal Processing 26
  • Health Informatics 2
Replace Zhuangzi Li with:
Zhuangzi Li China
Frederic Besse United States
Hongping Cai China
Yiwei Ma China
Zhiguang Yang China
Axel Sauer Germany
Vighnesh Birodkar United States
Pol Moreno United Kingdom
Daiheng Gao China
Kunlin Liu relative to Zhuangzi Li China Zhuangzi Li's profile →
Citations per field
00.5×
Zhuangzi Li · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Kunlin Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kunlin Liu Line = papers co-authored together Kunlin Liu links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
DeepFaceLab: A simple, flexible and extensible face swapping framework.
202075
2 202374
3 202074
4 202019
5 202214
6 202112
7 202411
8 20237
9 20226
10 20224
11 20213
12 20223
13 20232
14 20251
15 20211
16 19971
17 20240

About Kunlin Liu

Kunlin Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Computer Networks and Communications and Molecular Biology, having authored 17 papers that have together received 307 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (9 papers), Digital Media Forensic Detection (6 papers), Face recognition and analysis (5 papers), Adversarial Robustness in Machine Learning (4 papers), Anomaly Detection Techniques and Applications (3 papers), Advanced Steganography and Watermarking Techniques (2 papers), Advanced Malware Detection Techniques (2 papers) and Advanced Image Processing Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (215 citations), Computer Graphics and Computer-Aided Design (14 citations), Artificial Intelligence (116 citations), Signal Processing (26 citations) and Health Informatics (2 citations). Kunlin Liu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Weiming Zhang, Daiheng Gao, Wenbo Zhou, Nenghai Yu, Hang Zhou, Jing Liao, Dongdong Chen, Kejiang Chen, Xiaoyi Dong and Gang Hua. Their work appears in journals such as Environmental Pollution, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Journal of Selected Topics in Signal Processing, IEEE Transactions on Visualization and Computer Graphics and Signal Processing.

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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