Peipei Kang
Impact in
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- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Face and Expression Recognition
- Image Retrieval and Classification Techniques
- Video Analysis and Summarization
- Artificial Intelligence top 10%
- Topic Modeling
- Domain Adaptation and Few-Shot Learning
- Sentiment Analysis and Opinion Mining
Papers in
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- Advanced Image and Video Retrieval Techniques 16
- Multimodal Machine Learning Applications 8
- Face and Expression Recognition 7
- Image Retrieval and Classification Techniques 7
- Video Surveillance and Tracking Methods 4
- Video Analysis and Summarization 3
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- Domain Adaptation and Few-Shot Learning 9
- Text and Document Classification Technologies 5
- Co-authors
- Xiaozhao Fang (15 shared papers)Wenyin Liu (8 shared papers)Zhenguo Yang (3 shared papers)Na Han (8 shared papers)Luyao Teng (5 shared papers)Qi Wang (1 shared paper)Kai Xu (1 shared paper)Shaohua Teng (7 shared papers)
In The Last Decade
Peipei Kang
34 papers receiving 395 citations
Peers
Comparison fields: 5 of 82
- Computer Vision and Pattern Recognition 156
- Artificial Intelligence 200
- Media Technology 19
- Computational Mathematics 1
- Signal Processing 16
Countries citing papers authored by Peipei Kang
This map shows the geographic impact of Peipei Kang'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 Peipei Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peipei Kang more than expected).
Fields of papers citing papers by Peipei Kang
This network shows the impact of papers produced by Peipei Kang. 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 Peipei Kang. The network helps show where Peipei Kang may publish in the future.
Co-authors
The 25 scholars most cited alongside Peipei Kang, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 79 | |
| 2 | 2019 | 48 | |
| 3 | 2019 | 39 | |
| 4 | 2018 | 30 | |
| 5 | 2020 | 22 | |
| 6 | 2018 | 21 | |
| 7 | 2023 | 17 | |
| 8 | 2019 | 17 | |
| 9 | 2015 | 16 | |
| 10 | 2019 | 11 | |
| 11 | 2023 | 9 | |
| 12 | 2024 | 7 | |
| 13 | 2021 | 7 | |
| 14 | 2019 | 7 | |
| 15 | 2023 | 6 | |
| 16 | 2022 | 6 | |
| 17 | 2020 | 6 | |
| 18 | 2021 | 6 | |
| 19 | 2020 | 5 | |
| 20 | 2023 | 4 |
About Peipei Kang
Peipei Kang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Media Technology and Molecular Biology, having authored 35 papers that have together received 396 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (16 papers), Domain Adaptation and Few-Shot Learning (9 papers), Multimodal Machine Learning Applications (8 papers), Face and Expression Recognition (7 papers), Image Retrieval and Classification Techniques (7 papers), Text and Document Classification Technologies (5 papers), Video Surveillance and Tracking Methods (4 papers) and Video Analysis and Summarization (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (156 citations), Artificial Intelligence (200 citations), Media Technology (19 citations), Computational Mathematics (1 citation) and Signal Processing (16 citations). Peipei Kang has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Xiaozhao Fang, Wenyin Liu, Zhenguo Yang, Na Han, Luyao Teng, Qi Wang, Kai Xu, Shaohua Teng, Wei Zhang and Zhihao Peng. Their work appears in journals such as International Journal of Machine Learning and Cybernetics, Neurocomputing, IEEE Transactions on Knowledge and Data Engineering, Frontiers in Pharmacology and Signal Processing.
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.