Huifang Ma
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 1%
- Information Systems top 2%
- Statistical and Nonlinear Physics top 5%
- Molecular Biology
- Co-authors
- Zhixin LiCanlong ZhangZhenjun TangLiang ChangZhongzhi ShiHaiyang WeiJianwei ZhuZhenbin Chen
- Topics
- Advanced Graph Neural Networks (36 papers)Advanced Image and Video Retrieval Techniques (36 papers)Multimodal Machine Learning Applications (34 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceStatistical and Nonlinear Physics
- Partner nations
- ChinaAustraliaSaudi Arabia
In The Last Decade
Huifang Ma
144 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 116
- Artificial Intelligence 818
- Computer Vision and Pattern Recognition 743
- Information Systems 267
- Statistical and Nonlinear Physics 150
- Molecular Biology 122
Countries citing papers authored by Huifang Ma
This map shows the geographic impact of Huifang Ma'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 Huifang Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huifang Ma more than expected).
Fields of papers citing papers by Huifang Ma
This network shows the impact of papers produced by Huifang Ma. 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 Huifang Ma. The network helps show where Huifang Ma may publish in the future.
Co-authorship network of co-authors of Huifang Ma
This figure shows the co-authorship network connecting the top 25 collaborators of Huifang Ma. A scholar is included among the top collaborators of Huifang Ma 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 Huifang Ma. Huifang Ma 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 | 2 | |
| 3 | 3 | |
| 4 | 9 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 21 | |
| 9 | 7 | |
| 10 | 0 | |
| 11 | 0 | |
| 12 | 9 | |
| 13 | 6 | |
| 14 | 5 | |
| 15 | 24 | |
| 16 | 4 | |
| 17 | 12 | |
| 18 | 31 | |
| 19 | 11 | |
| 20 | 5 |
About Huifang Ma
Huifang Ma is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 161 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (36 papers), Advanced Image and Video Retrieval Techniques (36 papers) and Multimodal Machine Learning Applications (34 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (743 citations), Artificial Intelligence (818 citations) and Statistical and Nonlinear Physics (150 citations). Huifang Ma has collaborated with scholars based in China, Australia and Saudi Arabia. Frequent co-authors include Zhixin Li, Canlong Zhang, Zhenjun Tang, Liang Chang, Zhongzhi Shi, Haiyang Wei, Jianwei Zhu, Zhenbin Chen, Yanbin Jiang and Suqin Tang. Their work appears in journals such as Bioinformatics, Food Chemistry and Journal of Lipid Research.
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.