Xiao Da
Impact in
- Genetics top 2%
- Glioma Diagnosis and Treatment
- Health Informatics top 5%
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 8
- MRI in cancer diagnosis 7
- Advanced Neuroimaging Techniques and Applications 7
-
- Cryptography and Data Security 5
- Co-authors
- Christos Davatzikos (15 shared papers)Ian Goodfellow (1 shared paper)Mehdi Mirza (1 shared paper)Aaron Courville (1 shared paper)Yoshua Bengio (1 shared paper)Hamed Akbari (9 shared papers)Michel Bilello (7 shared papers)Yangming Ou (8 shared papers)
- Journals
- Acta Neuropathologica Communications (2 papers)Neurosurgery (2 papers)NeuroImage Clinical (2 papers)Electronics Letters (2 papers)Scientific Reports (1 paper)
- Partner nations
- United StatesChinaNorway
In The Last Decade
Xiao Da
50 papers receiving 1.7k citations
Xiao Da's Hit Papers
Peers
Comparison fields: 5 of 133
- Genetics 351
- Health Informatics 33
- Radiology, Nuclear Medicine and Imaging 558
- Neurology 185
- Psychiatry and Mental health 312
Countries citing papers authored by Xiao Da
This map shows the geographic impact of Xiao Da'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 Xiao Da with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao Da more than expected).
Fields of papers citing papers by Xiao Da
This network shows the impact of papers produced by Xiao Da. 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 Xiao Da. The network helps show where Xiao Da may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiao Da, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks Hit paper breakdown → | 2014 | 341 |
| 2 | 2015 | 212 | |
| 3 | 2013 | 136 | |
| 4 | 2014 | 116 | |
| 5 | 2016 | 107 | |
| 6 | 2013 | 98 | |
| 7 | 2014 | 75 | |
| 8 | 2015 | 66 | |
| 9 | 2014 | 63 | |
| 10 | 2016 | 62 | |
| 11 | 2014 | 60 | |
| 12 | 2016 | 48 | |
| 13 | 2013 | 35 | |
| 14 | 2015 | 31 | |
| 15 | 2021 | 28 | |
| 16 | 2014 | 26 | |
| 17 | 2017 | 25 | |
| 18 | 2018 | 21 | |
| 19 | 2023 | 18 | |
| 20 | 2017 | 15 |
About Xiao Da
Xiao Da is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Genetics, Computer Networks and Communications and Information Systems, having authored 51 papers that have together received 1.7k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (8 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), MRI in cancer diagnosis (7 papers), Advanced Neuroimaging Techniques and Applications (7 papers), Alzheimer's disease research and treatments (6 papers), Cryptography and Data Security (5 papers), Dementia and Cognitive Impairment Research (5 papers) and Cloud Data Security Solutions (5 papers). The work is most often cited by research in Genetics (351 citations), Health Informatics (33 citations), Radiology, Nuclear Medicine and Imaging (558 citations), Neurology (185 citations) and Psychiatry and Mental health (312 citations). Xiao Da has collaborated with scholars based in United States, China and Norway. Frequent co-authors include Christos Davatzikos, Ian Goodfellow, Mehdi Mirza, Aaron Courville, Yoshua Bengio, Hamed Akbari, Michel Bilello, Yangming Ou, Donald M. O’Rourke and Ronald L. Wolf. Their work appears in journals such as Acta Neuropathologica Communications, Neurosurgery, NeuroImage Clinical, Electronics Letters and Scientific Reports.
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.