Xiaozhe Ren
Impact in
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- Context-Aware Activity Recognition Systems
- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
Papers in
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- Data Stream Mining Techniques 2
- Fuzzy Logic and Control Systems 1
- Topic Modeling 1
- Machine Learning and Data Classification 1
- Semantic Web and Ontologies 1
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- Advanced Neural Network Applications 2
- Context-Aware Activity Recognition Systems 1
- Co-authors
- Xin Jiang (4 shared papers)Xian Shuai (3 shared papers)Zhenyu Yan (3 shared papers)Guoliang Xing (3 shared papers)Hang Xu (1 shared paper)Zhenguo Li (1 shared paper)Shi Han (1 shared paper)Philip L. H. Yu (1 shared paper)
- Journals
- Rare & Special e-Zone (The Hong Kong University of Science and Technology) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
In The Last Decade
Xiaozhe Ren
6 papers receiving 49 citations
Peers
Comparison fields: 5 of 24
- Health Informatics 1
- Computer Vision and Pattern Recognition 14
- Artificial Intelligence 17
- Human Factors and Ergonomics 1
- Computer Science Applications 2
Countries citing papers authored by Xiaozhe Ren
This map shows the geographic impact of Xiaozhe Ren'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 Xiaozhe Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaozhe Ren more than expected).
Fields of papers citing papers by Xiaozhe Ren
This network shows the impact of papers produced by Xiaozhe Ren. 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 Xiaozhe Ren. The network helps show where Xiaozhe Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaozhe Ren, 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 | 2023 | 22 | |
| 2 | 2022 | 12 | |
| 3 | 2024 | 7 | |
| 4 | 2023 | 5 | |
| 5 | 2024 | 4 | |
| 6 | 2025 | 1 | |
| 7 | 2025 | 0 | |
| 8 | 2024 | 0 | |
| 9 | 2025 | 0 |
About Xiaozhe Ren
Xiaozhe Ren is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Control and Systems Engineering and Statistics, Probability and Uncertainty, having authored 9 papers that have together received 51 indexed citations. Recurring topics across this work include Data Stream Mining Techniques (2 papers), Advanced Neural Network Applications (2 papers), Fuzzy Logic and Control Systems (1 paper), Context-Aware Activity Recognition Systems (1 paper), Music and Audio Processing (1 paper), Topic Modeling (1 paper), Machine Learning and Data Classification (1 paper) and Semantic Web and Ontologies (1 paper). The work is most often cited by research in Health Informatics (1 citation), Computer Vision and Pattern Recognition (14 citations), Artificial Intelligence (17 citations), Human Factors and Ergonomics (1 citation) and Computer Science Applications (2 citations). Xiaozhe Ren has collaborated with scholars based in Hong Kong, China and Sweden. Frequent co-authors include Xin Jiang, Xian Shuai, Zhenyu Yan, Guoliang Xing, Hang Xu, Zhenguo Li, Shi Han, Philip L. H. Yu, Xiaodan Liang and Zhuo Jiang. Their work appears in journals such as Rare & Special e-Zone (The Hong Kong University of Science and Technology) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.