Xiaoling Xia
Impact in
- Signal Processing top 10%
- Advanced Malware Detection Techniques
Papers in
-
- Face and Expression Recognition 5
- Face recognition and analysis 4
- Image Retrieval and Classification Techniques 4
- Co-authors
- Xiang Tan (4 shared papers)Quanfa Zhang (4 shared papers)Yuxin Ding (4 shared papers)Ye Li (1 shared paper)Sheng Chen (1 shared paper)Sheng-Bin Peng (3 shared papers)Jiajin Le (11 shared papers)Siyue Li (1 shared paper)
- Journals
- Cancer Research (2 papers)eLife (2 papers)PLoS ONE (2 papers)Journal of Virology (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)
- Partner nations
- ChinaUnited StatesThailand
In The Last Decade
Xiaoling Xia
79 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 167
- Signal Processing 113
- Computer Vision and Pattern Recognition 162
- Oncology 153
- Artificial Intelligence 195
- Information Systems 130
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 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 305 | |
| 2 | 2005 | 92 | |
| 3 | 2005 | 90 | |
| 4 | 2017 | 90 | |
| 5 | 2003 | 63 | |
| 6 | 2013 | 56 | |
| 7 | 2015 | 44 | |
| 8 | 2021 | 39 | |
| 9 | 2020 | 38 | |
| 10 | 2017 | 37 | |
| 11 | 2018 | 36 | |
| 12 | 2017 | 26 | |
| 13 | 2013 | 25 | |
| 14 | 2012 | 24 | |
| 15 | 2013 | 23 | |
| 16 | 2006 | 23 | |
| 17 | 2013 | 23 | |
| 18 | 2015 | 22 | |
| 19 | Cloning and functional characterization of the multidrug resistance-associated protein (MRP1/ABCC1) from the cynomolgus monkey. | 2003 | 21 |
| 20 | 2013 | 19 |
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 87 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (7 papers), Face and Expression Recognition (5 papers), Network Security and Intrusion Detection (5 papers), Software System Performance and Reliability (4 papers), Software Testing and Debugging Techniques (4 papers), Face recognition and analysis (4 papers), Plant Virus Research Studies (4 papers) and Image Retrieval and Classification Techniques (4 papers). The work is most often cited by research in Signal Processing (113 citations), Computer Vision and Pattern Recognition (162 citations), Oncology (153 citations), Artificial Intelligence (195 citations) and Information Systems (130 citations). Xiaoling Xia has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Xiang Tan, Quanfa Zhang, Yuxin Ding, Ye Li, Sheng Chen, Sheng-Bin Peng, Jiajin Le, Siyue Li, Xi Zhou and Yuanyang Hu. Their work appears in journals such as Cancer Research, eLife, PLoS ONE, Journal of Virology and IEEE Journal of Biomedical and Health Informatics.
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.