Xiaoling Xia
Impact in
- Signal Processing top 10%
- Advanced Malware Detection Techniques
Papers in
-
- Face and Expression Recognition 5
- Face recognition and analysis 4
- Advanced Neural Network Applications 3
- Co-authors
- Xiang Tan (4 shared papers)Quanfa Zhang (4 shared papers)Yuxin Ding (3 shared papers)Sheng Chen (1 shared paper)Ye Li (1 shared paper)Sheng-Bin Peng (3 shared papers)Siyue Li (1 shared paper)Jiajin Le (11 shared papers)
- Journals
- Cancer Research (2 papers)eLife (2 papers)PLoS ONE (2 papers)Information Sciences (1 paper)International Journal of Biological Macromolecules (1 paper)
- Partner nations
- ChinaUnited StatesThailand
In The Last Decade
Xiaoling Xia
73 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 165
- Signal Processing 100
- Computer Vision and Pattern Recognition 137
- Oncology 152
- Artificial Intelligence 170
- Environmental Chemistry 49
Countries citing papers authored by Xiaoling Xia
This map shows the geographic impact of Xiaoling Xia'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 Xiaoling Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoling Xia more than expected).
Fields of papers citing papers by Xiaoling Xia
This network shows the impact of papers produced by Xiaoling Xia. 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 Xiaoling Xia. The network helps show where Xiaoling Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoling Xia, 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 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 265 | |
| 2 | 2005 | 92 | |
| 3 | 2017 | 82 | |
| 4 | 2005 | 80 | |
| 5 | 2003 | 63 | |
| 6 | 2013 | 54 | |
| 7 | 2015 | 43 | |
| 8 | 2017 | 34 | |
| 9 | 2020 | 34 | |
| 10 | 2021 | 33 | |
| 11 | 2018 | 33 | |
| 12 | 2012 | 24 | |
| 13 | 2013 | 23 | |
| 14 | 2013 | 23 | |
| 15 | 2013 | 22 | |
| 16 | 2013 | 19 | |
| 17 | 2015 | 19 | |
| 18 | 2017 | 19 | |
| 19 | Cloning and functional characterization of the multidrug resistance-associated protein (MRP1/ABCC1) from the cynomolgus monkey. | 2003 | 18 |
| 20 | 2012 | 18 |
About Xiaoling Xia
Xiaoling Xia is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Molecular Biology and Computer Networks and Communications, having authored 84 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (6 papers), Face and Expression Recognition (5 papers), Software System Performance and Reliability (4 papers), Plant Virus Research Studies (4 papers), Network Security and Intrusion Detection (4 papers), Face recognition and analysis (4 papers), Advanced Neural Network Applications (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Signal Processing (100 citations), Computer Vision and Pattern Recognition (137 citations), Oncology (152 citations), Artificial Intelligence (170 citations) and Environmental Chemistry (49 citations). Xiaoling Xia has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Xiang Tan, Quanfa Zhang, Yuxin Ding, Sheng Chen, Ye Li, Sheng-Bin Peng, Siyue Li, Jiajin Le, Xi Zhou and Yuanyang Hu. Their work appears in journals such as Cancer Research, eLife, PLoS ONE, Information Sciences and International Journal of Biological Macromolecules.
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.