Honggu Liu

696 citations
9 papers · 443 indexed · 1 hit paper · h-index 5
Topics
Generative Adversarial Networks and Image Synthesis (6 papers)Digital Media Forensic Detection (5 papers)Face recognition and analysis (4 papers)
Partner nations
ChinaItalySingapore

In The Last Decade

Honggu Liu

9 papers receiving 435 citations

Hit Papers

Spatial-Phase Shallow Learning: Rethinking Face Forgery D...20212026202220242021100200300

Peers

Honggu Liu
Comparison fields: 5 of 30
  • Computer Vision and Pattern Recognition 412
  • Artificial Intelligence 142
  • Signal Processing 51
  • Media Technology 23
  • Information Systems 13
Replace Hongtao Xie with:
Hongtao Xie China
Joan Puigcerver Spain
Wenkang Su China
Changtao Miao China
Guanshuo Xu United States
Yuchen Luo China
Yasuhisa Fujii United States
Ladislav Lenc Czechia
Nicolò Bonettini Italy
Weiwei Sun China
Honggu Liu relative to Hongtao Xie China Hongtao Xie's profile →
Citations per field
00.5×1.5×2.3×
Hongtao Xie · 1×
Citations per year

Countries citing papers authored by Honggu Liu

Since Specialization
Citations

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

Fields of papers citing papers by Honggu Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Honggu Liu

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 1
2 34
3 3
4 2
5 4
6 12
7 46
8
Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domainbreakdown →
338
9 3

About Honggu Liu

Honggu Liu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 9 papers that have together received 443 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (6 papers), Digital Media Forensic Detection (5 papers) and Face recognition and analysis (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (412 citations), Signal Processing (51 citations) and Artificial Intelligence (142 citations). Honggu Liu has collaborated with scholars based in China, Italy and Singapore. Frequent co-authors include Weiming Zhang, Wenbo Zhou, Nenghai Yu, Hui Xue, Xiaodan Li, Yuan He, Yuefeng Chen, Han Fang, Zehua Ma and Feng Wang. Their work appears in journals such as Signal Processing, IEEE Transactions on Multimedia and IEEE Signal Processing Letters.

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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