Yaojie Liu

2.7k citations
14 papers · 1.2k indexed · 2 hit papers · h-index 9

Yaojie Liu

12 papers receiving 1.1k citations

Hit Papers

PSCC-Net: Progressive Spatio-Channel Correl...1802018202620202023100200300400

Peers

Yaojie Liu
Comparison fields: 5 of 73
  • Signal Processing 888
  • Computer Vision and Pattern Recognition 1.0k
  • Media Technology 93
  • Information Systems 212
  • Biophysics 29
Replace Yunxiao Qin with:
Yunxiao Qin China
Amin Jourabloo United States
Chenxu Zhao China
Taiping Yao China
Byung Jun Kang South Korea
Jukka Komulainen Finland
Tieniu Tan China
Lu Yang China
Jingqi Yan China
Graham Leedham Singapore
Yaojie Liu relative to Yunxiao Qin China Yunxiao Qin's profile →
Citations per field
00.5×10×20×30×37×
Yunxiao Qin · 1×
Citations per year

Countries citing papers authored by Yaojie Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yaojie Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Yaojie 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 Yaojie Liu Line = papers co-authored together Yaojie Liu links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 20238
2 202314
3 202348
4
PSCC-Net: Progressive Spatio-Channel Correlation Network for Image Manipulation Detection and Localizationbreakdown →
2022180
5 202236
6 20212
7 202027
8 20190
9 20198
10 2019175
11
Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervisionbreakdown →
2018423
12 2017265
13 20160
14 20158

About Yaojie Liu

Yaojie Liu is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Museology, Computer Graphics and Computer-Aided Design and Human-Computer Interaction, having authored 14 papers that have together received 1.2k indexed citations. Recurring topics across this work include Biometric Identification and Security (6 papers), Face recognition and analysis (4 papers), Digital Media Forensic Detection (4 papers), Forensic and Genetic Research (3 papers), Image and Signal Denoising Methods (1 paper), Ergonomics and Musculoskeletal Disorders (1 paper), Advanced Steganography and Watermarking Techniques (1 paper) and Generative Adversarial Networks and Image Synthesis (1 paper). The work is most often cited by research in Signal Processing (888 citations), Computer Vision and Pattern Recognition (1.0k citations), Media Technology (93 citations), Information Systems (212 citations) and Biophysics (29 citations). Yaojie Liu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Xiaoming Liu, Amin Jourabloo, Yousef Atoum, Joel Stehouwer, Jun Chen, Xiaohong Liu, Yixuan Li, Yiyou Sun, Wen–Sheng Chu and Chang Shu. Their work appears in journals such as Food & Function, IEEE Transactions on Circuits and Systems for Video Technology, Food Science & Nutrition, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Physics Conference Series.

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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