Hexiang Hu
Impact in
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- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Human Pose and Action Recognition
- Artificial Intelligence top 2%
- Domain Adaptation and Few-Shot Learning
- Machine Learning and ELM
- Topic Modeling
Papers in
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- Multimodal Machine Learning Applications 18
- Advanced Image and Video Retrieval Techniques 10
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- Domain Adaptation and Few-Shot Learning 15
- Topic Modeling 5
- Natural Language Processing Techniques 3
- Machine Learning and ELM 3
- Co-authors
- Fei Sha (12 shared papers)De‐Chuan Zhan (4 shared papers)Han-Jia Ye (4 shared papers)Jiacheng Chen (1 shared paper)Changhu Wang (1 shared paper)Yuning Jiang (1 shared paper)Hao Wu (1 shared paper)Wei‐Lun Chao (5 shared papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)Journal of Alloys and Compounds (1 paper)International Journal of Computer Vision (1 paper)Ionics (1 paper)Batteries & Supercaps (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Hexiang Hu
28 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Computer Vision and Pattern Recognition 729
- Artificial Intelligence 773
- Media Technology 56
- Radiology, Nuclear Medicine and Imaging 108
- Health Informatics 4
Countries citing papers authored by Hexiang Hu
This map shows the geographic impact of Hexiang Hu'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 Hexiang Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hexiang Hu more than expected).
Fields of papers citing papers by Hexiang Hu
This network shows the impact of papers produced by Hexiang Hu. 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 Hexiang Hu. The network helps show where Hexiang Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hexiang Hu, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Few-Shot Learning via Embedding Adaptation With Set-to-Set Functions Hit paper breakdown → | 2020 | 451 |
| 2 | 2021 | 171 | |
| 3 | 2016 | 80 | |
| 4 | 2022 | 39 | |
| 5 | 2021 | 39 | |
| 6 | 2019 | 36 | |
| 7 | Learning Embedding Adaptation for Few-Shot Learning | 2018 | 33 |
| 8 | 2018 | 30 | |
| 9 | 2018 | 24 | |
| 10 | 2023 | 23 | |
| 11 | 2018 | 21 | |
| 12 | 2021 | 17 | |
| 13 | 2023 | 16 | |
| 14 | 2017 | 14 | |
| 15 | 2020 | 14 | |
| 16 | 2023 | 10 | |
| 17 | 2023 | 8 | |
| 18 | 2023 | 8 | |
| 19 | 2024 | 8 | |
| 20 | 2019 | 7 |
About Hexiang Hu
Hexiang Hu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electronic, Optical and Magnetic Materials, Electrical and Electronic Engineering and Materials Chemistry, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (18 papers), Domain Adaptation and Few-Shot Learning (15 papers), Advanced Image and Video Retrieval Techniques (10 papers), Topic Modeling (5 papers), Supercapacitor Materials and Fabrication (4 papers), Natural Language Processing Techniques (3 papers), Advancements in Battery Materials (3 papers) and Machine Learning and ELM (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (729 citations), Artificial Intelligence (773 citations), Media Technology (56 citations), Radiology, Nuclear Medicine and Imaging (108 citations) and Health Informatics (4 citations). Hexiang Hu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Fei Sha, De‐Chuan Zhan, Han-Jia Ye, Jiacheng Chen, Changhu Wang, Yuning Jiang, Hao Wu, Wei‐Lun Chao, Zhiwei Deng and Zicheng Liao. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Alloys and Compounds, International Journal of Computer Vision, Ionics and Batteries & Supercaps.
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.