Yang Long
Impact in
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- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Immunology top 5%
- interferon and immune responses
- Immune Response and Inflammation
Papers in
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- Domain Adaptation and Few-Shot Learning 38
- Machine Learning and ELM 6
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- Multimodal Machine Learning Applications 25
- Advanced Image and Video Retrieval Techniques 13
- Human Pose and Action Recognition 8
- Generative Adversarial Networks and Image Synthesis 8
- Co-authors
- Ling Shao (32 shared papers)Haofeng Zhang (24 shared papers)Rongtuan Lin (5 shared papers)John Hiscott (4 shared papers)Qiang Sun (3 shared papers)Li Liu (9 shared papers)Meztli Arguello (2 shared papers)Tiejun Zhao (2 shared papers)
- Journals
- IEEE Transactions on Image Processing (5 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (5 papers)Pattern Recognition Letters (4 papers)Pattern Recognition (4 papers)Information Sciences (4 papers)
- Partner nations
- ChinaUnited KingdomUnited Arab Emirates
In The Last Decade
Yang Long
98 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 150
- Computer Vision and Pattern Recognition 699
- Immunology 486
- Artificial Intelligence 688
- Cancer Research 229
- Signal Processing 112
Countries citing papers authored by Yang Long
This map shows the geographic impact of Yang Long'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 Yang Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Long more than expected).
Fields of papers citing papers by Yang Long
This network shows the impact of papers produced by Yang Long. 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 Yang Long. The network helps show where Yang Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Yang Long, 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 115 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 269 | |
| 2 | 2005 | 192 | |
| 3 | 2020 | 90 | |
| 4 | 2017 | 83 | |
| 5 | 2017 | 80 | |
| 6 | 2019 | 79 | |
| 7 | 2018 | 67 | |
| 8 | 2004 | 63 | |
| 9 | 2017 | 57 | |
| 10 | 2018 | 46 | |
| 11 | 2020 | 42 | |
| 12 | 2019 | 36 | |
| 13 | 2021 | 35 | |
| 14 | 2022 | 35 | |
| 15 | 2018 | 34 | |
| 16 | 2017 | 33 | |
| 17 | 2019 | 30 | |
| 18 | 2018 | 29 | |
| 19 | 2021 | 25 | |
| 20 | 2020 | 24 |
About Yang Long
Yang Long is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Ocean Engineering, Immunology and Molecular Biology, having authored 115 papers that have together received 1.9k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (38 papers), Multimodal Machine Learning Applications (25 papers), Advanced Image and Video Retrieval Techniques (13 papers), Human Pose and Action Recognition (8 papers), Geophysical Methods and Applications (8 papers), Generative Adversarial Networks and Image Synthesis (8 papers), Machine Learning and ELM (6 papers) and interferon and immune responses (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (699 citations), Immunology (486 citations), Artificial Intelligence (688 citations), Cancer Research (229 citations) and Signal Processing (112 citations). Yang Long has collaborated with scholars based in China, United Kingdom and United Arab Emirates. Frequent co-authors include Ling Shao, Haofeng Zhang, Rongtuan Lin, John Hiscott, Qiang Sun, Li Liu, Meztli Arguello, Tiejun Zhao, Dean W. Ballard and Peyman Nakhaei. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition Letters, Pattern Recognition and Information Sciences.
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.