Jason Dong
Impact in
Papers in
-
- Domain Adaptation and Few-Shot Learning 2
- Machine Learning and Data Classification 2
-
- Advanced Neural Network Applications 2
- Co-authors
- Zhihao Wu (3 shared papers)Bingwei Lu (3 shared papers)Alan Wu (1 shared paper)Lin Yang (5 shared papers)Wenhan Zhang (5 shared papers)M Snyder (2 shared papers)Songjie Chen (2 shared papers)Ishaq Tantray (2 shared papers)
- Journals
- Molecular Cell (1 paper)Proceedings of the National Academy of Sciences (1 paper)Experimental Gerontology (1 paper)The Journal of Internet Banking and Commerce (1 paper)Knowledge Discovery and Data Mining (1 paper)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Jason Dong
12 papers receiving 247 citations
Peers
Comparison fields: 5 of 83
- Aging 10
- Geriatrics and Gerontology 11
- Neurology 46
- Cell Biology 31
- Molecular Biology 97
Countries citing papers authored by Jason Dong
This map shows the geographic impact of Jason Dong'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 Jason Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason Dong more than expected).
Fields of papers citing papers by Jason Dong
This network shows the impact of papers produced by Jason Dong. 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 Jason Dong. The network helps show where Jason Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Jason Dong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 69 | |
| 2 | 2018 | 53 | |
| 3 | 2020 | 45 | |
| 4 | 2019 | 33 | |
| 5 | 2018 | 16 | |
| 6 | 1999 | 16 | |
| 7 | 2018 | 13 | |
| 8 | SuperTML: Two-Dimensional Word Embedding and Transfer Learning Using ImageNet Pretrained CNN Models for the Classifications on Tabular Data | 2019 | 4 |
| 9 | Strategies for Increased Integration of Online and In-Branch Services of Banks in Canada | 2008 | 3 |
| 10 | 2019 | 3 | |
| 11 | SuperCaptioning: Image Captioning Using Two-dimensional Word Embedding | 2019 | 2 |
| 12 | 2019 | 2 |
About Jason Dong
Jason Dong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Neurology, Neurology and Molecular Biology, having authored 12 papers that have together received 259 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (2 papers), Advanced Neural Network Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Machine Learning and Data Classification (2 papers), Banking stability, regulation, efficiency (1 paper), Amyotrophic Lateral Sclerosis Research (1 paper), Ubiquitin and proteasome pathways (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Aging (10 citations), Geriatrics and Gerontology (11 citations), Neurology (46 citations), Cell Biology (31 citations) and Molecular Biology (97 citations). Jason Dong has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Zhihao Wu, Bingwei Lu, Alan Wu, Lin Yang, Wenhan Zhang, M Snyder, Songjie Chen, Ishaq Tantray, Michael Z. Lin and Zoe H. Davis. Their work appears in journals such as Molecular Cell, Proceedings of the National Academy of Sciences, Experimental Gerontology, The Journal of Internet Banking and Commerce and Knowledge Discovery and Data Mining.
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.