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
-
- Domain Adaptation and Few-Shot Learning 4
- Topic Modeling 2
- Machine Learning and ELM 2
-
- Multimodal Machine Learning Applications 2
- Co-authors
- Jindong Wang (6 shared papers)Tao Qin (3 shared papers)Zhonghua Li (1 shared paper)Zhengwen Zhang (1 shared paper)İbrahim Küçükkoç (1 shared paper)Chongjun Wang (1 shared paper)Yuntao Du (1 shared paper)Sinno Jialin Pan (1 shared paper)
- Journals
- Nuclear Physics B (2 papers)Neurocomputing (2 papers)Advanced Photonics (1 paper)ACM Transactions on Multimedia Computing Communications and Applications (1 paper)American Mineralogist (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Renjun Xu
21 papers receiving 695 citations
Renjun Xu's Hit Papers
Peers
Comparison fields: 5 of 111
- Automotive Engineering 102
- Artificial Intelligence 280
- Signal Processing 81
- Computer Vision and Pattern Recognition 120
- Health Informatics 7
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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 160 | |
| 2 | 2017 | 129 | |
| 3 | 2020 | 96 | |
| 4 | 2022 | 64 | |
| 5 | 2021 | 42 | |
| 6 | Scientific Large Language Models: A Survey on Biological & Chemical Domains Hit paper breakdown → | 2025 | 28 |
| 7 | 2020 | 22 | |
| 8 | 2021 | 21 | |
| 9 | 2024 | 20 | |
| 10 | 2024 | 20 | |
| 11 | 2020 | 17 | |
| 12 | 2011 | 15 | |
| 13 | 2021 | 14 | |
| 14 | 2023 | 12 | |
| 15 | 2021 | 11 | |
| 16 | 2017 | 11 | |
| 17 | 2022 | 10 | |
| 18 | 2014 | 5 | |
| 19 | 2006 | 4 | |
| 20 | 2022 | 4 |
About Renjun Xu
Renjun Xu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Materials Chemistry, Atomic and Molecular Physics, and Optics and Biomedical Engineering, having authored 24 papers that have together received 708 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (4 papers), Machine Learning in Materials Science (3 papers), Black Holes and Theoretical Physics (2 papers), Multimodal Machine Learning Applications (2 papers), Topic Modeling (2 papers), Digital Holography and Microscopy (2 papers), Machine Learning and ELM (2 papers) and Recommender Systems and Techniques (2 papers). The work is most often cited by research in Automotive Engineering (102 citations), Artificial Intelligence (280 citations), Signal Processing (81 citations), Computer Vision and Pattern Recognition (120 citations) and Health Informatics (7 citations). Renjun Xu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jindong Wang, Tao Qin, Zhonghua Li, Zhengwen Zhang, İbrahim Küçükkoç, Chongjun Wang, Yuntao Du, Sinno Jialin Pan, Wenjie Feng and Chao Chen. Their work appears in journals such as Nuclear Physics B, Neurocomputing, Advanced Photonics, ACM Transactions on Multimedia Computing Communications and Applications and American Mineralogist.
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.