Jicong Zhang
- Radiology, Nuclear Medicine and Imaging top 5%
- Biomedical Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Cognitive Neuroscience top 5%
- Molecular Biology
- Topics
- Functional Brain Connectivity Studies (20 papers)EEG and Brain-Computer Interfaces (19 papers)Retinal Imaging and Analysis (13 papers)
- Journals
- Chemical Society ReviewsSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jicong Zhang
82 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Radiology, Nuclear Medicine and Imaging 412
- Biomedical Engineering 307
- Computer Vision and Pattern Recognition 285
- Cognitive Neuroscience 266
- Molecular Biology 237
Countries citing papers authored by Jicong Zhang
This map shows the geographic impact of Jicong Zhang'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 Jicong Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jicong Zhang more than expected).
Fields of papers citing papers by Jicong Zhang
This network shows the impact of papers produced by Jicong Zhang. 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 Jicong Zhang. The network helps show where Jicong Zhang may publish in the future.
Co-authorship network of co-authors of Jicong Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Jicong Zhang. A scholar is included among the top collaborators of Jicong Zhang 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 Jicong Zhang. Jicong Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 5 | |
| 9 | 5 | |
| 10 | 13 | |
| 11 | 6 | |
| 12 | 69 | |
| 13 | 3 | |
| 14 | 37 | |
| 15 | SAU-Net: Efficient 3D Spine MRI Segmentation Using Inter-Slice Attention | 15 |
| 16 | 1 | |
| 17 | 18 | |
| 18 | 16 | |
| 19 | 13 | |
| 20 | Increase the classification and expression ability and visualize the decision through a novel deep neural network model for the diagnosis of glaucoma | 1 |
About Jicong Zhang
Jicong Zhang is a scholar working on Cognitive Neuroscience, Ophthalmology and Radiology, Nuclear Medicine and Imaging, having authored 90 papers that have together received 1.6k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (20 papers), EEG and Brain-Computer Interfaces (19 papers) and Retinal Imaging and Analysis (13 papers). The work is most often cited by research in Health Informatics (31 citations), Radiology, Nuclear Medicine and Imaging (412 citations) and Neurology (119 citations). Jicong Zhang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yichi Zhang, Le Ding, Rushi Jiao, Chao Zhong, Lu Xu, Jiahua Pu, Jiaofang Huang, Timothy K. Lu, Tianxin Zhao and Chunhai Fan. Their work appears in journals such as Chemical Society Reviews, SHILAP Revista de lepidopterología and PLoS ONE.
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.