Jingyang Gao
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Molecular Biology
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Topics
- Genomics and Phylogenetic Studies (18 papers)Gene expression and cancer classification (12 papers)Machine Learning in Bioinformatics (8 papers)
- Journals
- Journal of Biological ChemistryJournal of Clinical InvestigationSHILAP Revista de lepidopterología
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jingyang Gao
45 papers receiving 663 citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Artificial Intelligence 163
- Radiology, Nuclear Medicine and Imaging 156
- Molecular Biology 136
- Computer Vision and Pattern Recognition 107
- Biomedical Engineering 78
Countries citing papers authored by Jingyang Gao
This map shows the geographic impact of Jingyang Gao'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 Jingyang Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingyang Gao more than expected).
Fields of papers citing papers by Jingyang Gao
This network shows the impact of papers produced by Jingyang Gao. 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 Jingyang Gao. The network helps show where Jingyang Gao may publish in the future.
Co-authorship network of co-authors of Jingyang Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Jingyang Gao. A scholar is included among the top collaborators of Jingyang Gao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jingyang Gao. Jingyang Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 6 | |
| 8 | 12 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | A review of the application of deep learning in medical image classification and segmentationbreakdown → | 351 |
| 12 | 3 | |
| 13 | 4 | |
| 14 | 8 | |
| 15 | 3 | |
| 16 | Fast License Plate Character Recognition Based on AdaBoost | 1 |
| 17 | Gene expression profile of keratoconus cornea for NEIBank. | 1 |
| 18 | Regression with Input-dependent Noise: a Relevance Vector Machine Treatment | 1 |
| 19 | 21 | |
| 20 | Health insurance and hospitalisation in urban China: bending to the wind of change. | 1 |
About Jingyang Gao
Jingyang Gao is a scholar working on Molecular Biology, Artificial Intelligence and Hepatology, having authored 55 papers that have together received 682 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (18 papers), Gene expression and cancer classification (12 papers) and Machine Learning in Bioinformatics (8 papers). The work is most often cited by research in Health Informatics (18 citations), Radiology, Nuclear Medicine and Imaging (156 citations) and Neurology (53 citations). Jingyang Gao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Lei Cai, Di Zhao, Yufeng Wu, Cheng Ling, Man Li, Yongming Han, Zhiqiang Geng, Jinzhen Fan, Xingchun Wang and Tingrui Pan. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.
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.