Renjun Xu
Impact in
- Automotive Engineering top 10%
- Additive Manufacturing and 3D Printing Technologies
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning
- Privacy-Preserving Technologies in Data
- Speech Recognition and Synthesis
Papers in
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- Domain Adaptation and Few-Shot Learning 4
- Machine Learning and ELM 2
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- Multimodal Machine Learning Applications 2
- Co-authors
- Jindong Wang (6 shared papers)Tao Qin (3 shared papers)İbrahim Küçükkoç (1 shared paper)Zhonghua Li (1 shared paper)Zhengwen Zhang (1 shared paper)Wenjie Feng (1 shared paper)Yuntao Du (1 shared paper)Sinno Jialin Pan (1 shared paper)
- Journals
- Nuclear Physics B (2 papers)Neurocomputing (2 papers)Polymer Composites (1 paper)Information Sciences (1 paper)Advanced Photonics (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Renjun Xu
20 papers receiving 601 citations
Peers
Comparison fields: 5 of 108
- Automotive Engineering 97
- Artificial Intelligence 250
- Signal Processing 73
- Health Informatics 8
- Computer Vision and Pattern Recognition 112
Countries citing papers authored by Renjun Xu
This map shows the geographic impact of Renjun Xu'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 Renjun Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Renjun Xu more than expected).
Fields of papers citing papers by Renjun Xu
This network shows the impact of papers produced by Renjun Xu. 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 Renjun Xu. The network helps show where Renjun Xu may publish in the future.
Co-authors
The 25 scholars most cited alongside Renjun Xu, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 137 | |
| 2 | 2017 | 121 | |
| 3 | 2020 | 90 | |
| 4 | 2022 | 55 | |
| 5 | 2021 | 38 | |
| 6 | 2020 | 21 | |
| 7 | 2021 | 19 | |
| 8 | 2024 | 17 | |
| 9 | 2024 | 16 | |
| 10 | 2020 | 16 | |
| 11 | 2011 | 14 | |
| 12 | 2021 | 13 | |
| 13 | 2023 | 11 | |
| 14 | 2021 | 10 | |
| 15 | 2022 | 10 | |
| 16 | 2017 | 10 | |
| 17 | 2014 | 5 | |
| 18 | 2022 | 4 | |
| 19 | 2006 | 4 | |
| 20 | 2022 | 3 |
About Renjun Xu
Renjun Xu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics, Biomedical Engineering and Materials Chemistry, having authored 23 papers that have together received 614 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (4 papers), Black Holes and Theoretical Physics (2 papers), Multimodal Machine Learning Applications (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Digital Holography and Microscopy (2 papers), Machine Learning in Materials Science (2 papers), Neurological disorders and treatments (2 papers) and Machine Learning and ELM (2 papers). The work is most often cited by research in Automotive Engineering (97 citations), Artificial Intelligence (250 citations), Signal Processing (73 citations), Health Informatics (8 citations) and Computer Vision and Pattern Recognition (112 citations). Renjun Xu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jindong Wang, Tao Qin, İbrahim Küçükkoç, Zhonghua Li, Zhengwen Zhang, Wenjie Feng, Yuntao Du, Sinno Jialin Pan, Chongjun Wang and Chao Chen. Their work appears in journals such as Nuclear Physics B, Neurocomputing, Polymer Composites, Information Sciences and Advanced Photonics.
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.