Haonan Chen

442 total citations · 1 hit paper
11 papers, 281 citations indexed

About

Haonan Chen is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Haonan Chen has authored 11 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Signal Processing and 3 papers in Artificial Intelligence. Recurrent topics in Haonan Chen's work include Speech and Audio Processing (3 papers), Face recognition and analysis (3 papers) and Digital Media Forensic Detection (3 papers). Haonan Chen is often cited by papers focused on Speech and Audio Processing (3 papers), Face recognition and analysis (3 papers) and Digital Media Forensic Detection (3 papers). Haonan Chen collaborates with scholars based in China, United States and United Kingdom. Haonan Chen's co-authors include Guosheng Hu, Neil M. Robertson, Yaowu Chen, Zhen Lei, Stan Z. Li, Cairong Zhao, Jinhui Tang, Chun Liu, Xiang Tian and Rongxin Jiang and has published in prestigious journals such as IEEE Access, IEEE Transactions on Information Forensics and Security and IEEE Transactions on Multimedia.

In The Last Decade

Haonan Chen

8 papers receiving 268 citations

Hit Papers

ISTVT: Interpretable Spatial-Temporal Video Transformer f... 2023 2026 2024 2025 2023 25 50 75

Peers

Haonan Chen
Comparison fields: 5 of 44
  • Computer Vision and Pattern Recognition 223
  • Signal Processing 136
  • Artificial Intelligence 57
  • Information Systems 19
  • Electrical and Electronic Engineering 14
Replace Meiling Fang with:
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Mario Hildebrandt Germany
Cameron Whitelam United States
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Meiling Fang Germany View profile →
Citations per field, relative to Haonan Chen
Haonan Chen · 1×
Citations per year, relative to Haonan Chen
Haonan Chen · 1×

Countries citing papers authored by Haonan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Haonan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haonan Chen

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

All Works

11 of 11 papers shown
# Work Indexed citations
1 0
2 0
3
ISTVT: Interpretable Spatial-Temporal Video Transformer for Deepfake Detection breakdown →
94
4 2
5 12
6 0
7 5
8 4
9 126
10 29
11 9

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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