Huaxiang Zhang
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- Advanced Image and Video Retrieval Techniques 75
- Multimodal Machine Learning Applications 49
- Video Surveillance and Tracking Methods 38
- Image Retrieval and Classification Techniques 34
- Video Analysis and Summarization 23
- Face and Expression Recognition 20
- Artificial Intelligence top 0.5%
- Metaheuristic Optimization Algorithms Research 21
- Computational Theory and Mathematics top 0.5%
- Advanced Multi-Objective Optimization Algorithms 18
- Media Technology top 1%
- Computational Mathematics top 5%
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceComputational Theory and Mathematics
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Huaxiang Zhang
220 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Computer Vision and Pattern Recognition 2.5k
- Artificial Intelligence 2.1k
- Computational Theory and Mathematics 623
- Media Technology 270
- Computational Mathematics 18
Countries citing papers authored by Huaxiang Zhang
This map shows the geographic impact of Huaxiang Zhang'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 Huaxiang Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huaxiang Zhang more than expected).
Fields of papers citing papers by Huaxiang Zhang
This network shows the impact of papers produced by Huaxiang Zhang. 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 Huaxiang Zhang. The network helps show where Huaxiang Zhang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Huaxiang Zhang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 9 | |
| 3 | 2024 | 15 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 14 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 11 | |
| 11 | 2023 | 20 | |
| 12 | 2023 | 3 | |
| 13 | 2023 | 2 | |
| 14 | 2023 | 19 | |
| 15 | 2023 | 4 | |
| 16 | 2023 | 17 | |
| 17 | 2022 | 8 | |
| 18 | 2020 | 4 | |
| 19 | 2017 | 21 | |
| 20 | 2017 | 56 |
About Huaxiang Zhang
Huaxiang Zhang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 233 papers that have together received 5.4k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (75 papers), Multimodal Machine Learning Applications (49 papers), Video Surveillance and Tracking Methods (38 papers), Image Retrieval and Classification Techniques (34 papers), Video Analysis and Summarization (23 papers), Metaheuristic Optimization Algorithms Research (21 papers), Face and Expression Recognition (20 papers) and Advanced Multi-Objective Optimization Algorithms (18 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.5k citations), Artificial Intelligence (2.1k citations) and Computational Theory and Mathematics (623 citations). Huaxiang Zhang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Jun Zhang, Lei Zhu, Wei–Neng Chen, Jiande Sun, Xu Lu, Liqiang Nie, Zhiyong Cheng, Tianlong Gu, Zhihui Li and Jingjing Li.
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.