Hongfu Liu
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 0.5%
- Media Technology top 1%
- Mechanics of Materials top 5%
- Ocean Engineering top 2%
- Topics
- Complex Network Analysis Techniques (21 papers)Advanced Clustering Algorithms Research (19 papers)Face and Expression Recognition (18 papers)
- Journals
- BioinformaticsIEEE Transactions on Pattern Analysis and Machine IntelligenceApplied Catalysis B: Environmental
- Partner nations
- ChinaUnited StatesMexico
In The Last Decade
Hongfu Liu
106 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 160
- Artificial Intelligence 1.4k
- Computer Vision and Pattern Recognition 1.2k
- Media Technology 299
- Mechanics of Materials 233
- Ocean Engineering 230
Countries citing papers authored by Hongfu Liu
This map shows the geographic impact of Hongfu 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 Hongfu Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongfu Liu more than expected).
Fields of papers citing papers by Hongfu Liu
This network shows the impact of papers produced by Hongfu 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 Hongfu Liu. The network helps show where Hongfu Liu may publish in the future.
Co-authorship network of co-authors of Hongfu Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Hongfu Liu. A scholar is included among the top collaborators of Hongfu 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 Hongfu Liu. Hongfu Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 12 | |
| 3 | 6 | |
| 4 | 2 | |
| 5 | 8 | |
| 6 | 0 | |
| 7 | 4 | |
| 8 | 11 | |
| 9 | On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections | 25 |
| 10 | Implicit Semantic Response Alignment for Partial Domain Adaptation | 4 |
| 11 | 6 | |
| 12 | 14 | |
| 13 | 35 | |
| 14 | 8 | |
| 15 | 66 | |
| 16 | Incomplete multi-modal visual data grouping | 112 |
| 17 | 56 | |
| 18 | 0 | |
| 19 | 3 | |
| 20 | Experimental Research on Radon Measurement Using Activated Charcoal in Field | 1 |
About Hongfu Liu
Hongfu Liu is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Media Technology, having authored 109 papers that have together received 2.7k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (21 papers), Advanced Clustering Algorithms Research (19 papers) and Face and Expression Recognition (18 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Computational Mathematics (31 citations) and Artificial Intelligence (1.4k citations). Hongfu Liu has collaborated with scholars based in China, United States and Mexico. Frequent co-authors include Yun Fu, Zhiqiang Tao, Zhengming Ding, Wei Li, Junjie Wu, Xiaoxia Song, Ming Shao, Dacheng Tao, Handong Zhao and Tongliang Liu. Their work appears in journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and Applied Catalysis B: Environmental.
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.