Jiahong Li

15 papers receiving 373 citations

Hit Papers

Frequency-aware Discriminative Feature Learning Supervise...2021202620222024202150100150

Peers

Jiahong Li
Comparison fields: 5 of 68
  • Computer Vision and Pattern Recognition 214
  • Artificial Intelligence 104
  • Management Science and Operations Research 66
  • Information Systems 51
  • Signal Processing 50
Replace Can Yang with:
Can Yang China
Yimei Yang China
Deepak Dharrao India
Heung Seok Jeon South Korea
Zehong Yang China
Zhenyu Liu Japan
Donghui Chen China
João Roberto Bertini Brazil
Qianggang Ding China
Yizhuo Li China
Jiahong Li relative to Can Yang China Can Yang's profile →
Citations per field
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Can Yang · 1×
Citations per year

Countries citing papers authored by Jiahong Li

Since Specialization
Citations

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

Fields of papers citing papers by Jiahong Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiahong Li

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 2
2 1
3 5
4 4
5 8
6 1
7 0
8 1
9 5
10 34
11 4
12
Frequency-aware Discriminative Feature Learning Supervised by Single-Center Loss for Face Forgery Detectionbreakdown →
197
13
Pedestrian Detection Based on HOG Features and SVM Realizes Vehicle-Human-Environment Interaction
2
14 2
15 72
16 51

About Jiahong Li

Jiahong Li is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Human-Computer Interaction, having authored 16 papers that have together received 389 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (3 papers), Face recognition and analysis (3 papers) and Digital Media Forensic Detection (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (214 citations), Management Science and Operations Research (66 citations) and Signal Processing (50 citations). Jiahong Li has collaborated with scholars based in China, Australia and Singapore. Frequent co-authors include Yongdong Zhang, Zhongyuan Wang, Hongtao Xie, Hui Bu, Junjie Wu, Woei-Jiunn Tsaur, Wei‐Bin Lee, Nanthi Bolan, Yuzhong Zhao and Bhupinder Pal Singh. Their work appears in journals such as The Science of The Total Environment, Pattern Recognition and IEEE Transactions on Information Forensics and Security.

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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