Xiaoning Qian
Impact in
- Modeling and Simulation top 5%
-
- Advanced Image and Video Retrieval Techniques
Papers in
-
- Bioinformatics and Genomic Networks 44
- Gene expression and cancer classification 29
- Gene Regulatory Network Analysis 29
- Single-cell and spatial transcriptomics 9
- Co-authors
- Edward R. Dougherty (51 shared papers)Eleni Papadonikolaki (1 shared paper)Byung-Jun Yoon (38 shared papers)Raymundo Arróyave (12 shared papers)Tom Li (1 shared paper)Man Li (1 shared paper)Yan Liu (1 shared paper)Susie Y. Dai (1 shared paper)
- Journals
- BMC Bioinformatics (11 papers)Bioinformatics (9 papers)IEEE Transactions on Signal Processing (9 papers)IEEE/ACM Transactions on Computational Biology and Bioinformatics (7 papers)BMC Genomics (6 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Xiaoning Qian
178 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 171
- Modeling and Simulation 86
- Computer Vision and Pattern Recognition 332
- Artificial Intelligence 443
- Computational Theory and Mathematics 209
- Computational Mathematics 6
Countries citing papers authored by Xiaoning Qian
This map shows the geographic impact of Xiaoning Qian'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 Xiaoning Qian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoning Qian more than expected).
Fields of papers citing papers by Xiaoning Qian
This network shows the impact of papers produced by Xiaoning Qian. 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 Xiaoning Qian. The network helps show where Xiaoning Qian may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoning Qian, 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 187 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 200 | |
| 2 | 2020 | 193 | |
| 3 | 2016 | 118 | |
| 4 | 2018 | 91 | |
| 5 | 2021 | 86 | |
| 6 | 2008 | 73 | |
| 7 | 2015 | 63 | |
| 8 | 2013 | 56 | |
| 9 | 2018 | 51 | |
| 10 | 2008 | 49 | |
| 11 | 2018 | 45 | |
| 12 | 2013 | 35 | |
| 13 | 2013 | 34 | |
| 14 | 2016 | 33 | |
| 15 | 2022 | 30 | |
| 16 | 2009 | 28 | |
| 17 | 2017 | 27 | |
| 18 | 2010 | 26 | |
| 19 | 2017 | 25 | |
| 20 | 2017 | 25 |
About Xiaoning Qian
Xiaoning Qian is a scholar working on Molecular Biology, Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Genetics, having authored 187 papers that have together received 2.5k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (44 papers), Gene expression and cancer classification (29 papers), Gene Regulatory Network Analysis (29 papers), Computational Drug Discovery Methods (17 papers), Medical Image Segmentation Techniques (13 papers), Statistical Methods and Inference (11 papers), Machine Learning in Materials Science (10 papers) and Single-cell and spatial transcriptomics (9 papers). The work is most often cited by research in Modeling and Simulation (86 citations), Computer Vision and Pattern Recognition (332 citations), Artificial Intelligence (443 citations), Computational Theory and Mathematics (209 citations) and Computational Mathematics (6 citations). Xiaoning Qian has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Edward R. Dougherty, Eleni Papadonikolaki, Byung-Jun Yoon, Raymundo Arróyave, Tom Li, Man Li, Yan Liu, Susie Y. Dai, Shuai Huang and Mingyuan Zhou. Their work appears in journals such as BMC Bioinformatics, Bioinformatics, IEEE Transactions on Signal Processing, IEEE/ACM Transactions on Computational Biology and Bioinformatics and BMC Genomics.
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.