Haifeng Xia
Impact in
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- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning
- Machine Learning and ELM
Papers in
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- Multimodal Machine Learning Applications 11
- Human Pose and Action Recognition 3
- Face recognition and analysis 3
- Face and Expression Recognition 2
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- Domain Adaptation and Few-Shot Learning 13
- Machine Learning and ELM 5
- Co-authors
- Zhengming Ding (15 shared papers)Handong Zhao (1 shared paper)Yu Ding (2 shared papers)Jyhwen Wang (1 shared paper)Guanglei Yang (1 shared paper)Bani K. Mallick (1 shared paper)Mingli Ding (1 shared paper)Jihun Hamm (2 shared papers)
- Journals
- IEEE Transactions on Image Processing (2 papers)Plant Phenomics (2 papers)Pattern Recognition Letters (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Medicine (1 paper)
- Partner nations
- United StatesChinaBangladesh
In The Last Decade
Haifeng Xia
29 papers receiving 551 citations
Peers
Comparison fields: 5 of 77
- Computer Vision and Pattern Recognition 295
- Artificial Intelligence 366
- Industrial and Manufacturing Engineering 49
- Statistics, Probability and Uncertainty 22
- Information Systems 50
Countries citing papers authored by Haifeng Xia
This map shows the geographic impact of Haifeng Xia'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 Haifeng Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haifeng Xia more than expected).
Fields of papers citing papers by Haifeng Xia
This network shows the impact of papers produced by Haifeng Xia. 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 Haifeng Xia. The network helps show where Haifeng Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Haifeng Xia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 137 | |
| 2 | 2020 | 49 | |
| 3 | 2008 | 44 | |
| 4 | 2011 | 35 | |
| 5 | 2022 | 33 | |
| 6 | 2020 | 26 | |
| 7 | 2019 | 25 | |
| 8 | 2020 | 24 | |
| 9 | 2021 | 20 | |
| 10 | 2018 | 20 | |
| 11 | 2020 | 20 | |
| 12 | 2022 | 19 | |
| 13 | 2023 | 16 | |
| 14 | 2019 | 16 | |
| 15 | 2020 | 12 | |
| 16 | 2023 | 12 | |
| 17 | 2023 | 9 | |
| 18 | 2017 | 7 | |
| 19 | 2024 | 5 | |
| 20 | 2022 | 5 |
About Haifeng Xia
Haifeng Xia is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Computational Mechanics and Plant Science, having authored 31 papers that have together received 559 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (13 papers), Multimodal Machine Learning Applications (11 papers), Machine Learning and ELM (5 papers), Human Pose and Action Recognition (3 papers), Face recognition and analysis (3 papers), Recommender Systems and Techniques (3 papers), Sparse and Compressive Sensing Techniques (2 papers) and Face and Expression Recognition (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (295 citations), Artificial Intelligence (366 citations), Industrial and Manufacturing Engineering (49 citations), Statistics, Probability and Uncertainty (22 citations) and Information Systems (50 citations). Haifeng Xia has collaborated with scholars based in United States, China and Bangladesh. Frequent co-authors include Zhengming Ding, Handong Zhao, Yu Ding, Jyhwen Wang, Guanglei Yang, Bani K. Mallick, Mingli Ding, Jihun Hamm, Zengmao Wang and Xin Tang. Their work appears in journals such as IEEE Transactions on Image Processing, Plant Phenomics, Pattern Recognition Letters, IEEE Transactions on Pattern Analysis and Machine Intelligence and Medicine.
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.