Su Zhang
- Cellular and Molecular Neuroscience top 5%
- Computer Vision and Pattern Recognition top 2%
- Cognitive Neuroscience top 5%
- Aerospace Engineering top 5%
- Molecular Biology
- Co-authors
- Laurence O. TrussellCuntai GuanThomas S. OtisYazhu ChenYi DingJin GuoQiuhao ZengNeethu Robinson
- Topics
- Medical Image Segmentation Techniques (23 papers)Image Retrieval and Classification Techniques (11 papers)Robotics and Sensor-Based Localization (10 papers)
- Cited by
- Cellular and Molecular NeuroscienceStatistics, Probability and UncertaintyComputer Vision and Pattern Recognition
- Journals
- NeuronJournal of NeuroscienceIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Su Zhang
74 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Cellular and Molecular Neuroscience 550
- Computer Vision and Pattern Recognition 495
- Cognitive Neuroscience 456
- Aerospace Engineering 413
- Molecular Biology 362
Countries citing papers authored by Su Zhang
This map shows the geographic impact of Su 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 Su Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su Zhang more than expected).
Fields of papers citing papers by Su Zhang
This network shows the impact of papers produced by Su 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 Su Zhang. The network helps show where Su Zhang may publish in the future.
Co-authorship network of co-authors of Su Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Su Zhang. A scholar is included among the top collaborators of Su 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 Su Zhang. Su 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 | 0 | |
| 2 | 20 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 48 | |
| 11 | 1 | |
| 12 | 8 | |
| 13 | 53 | |
| 14 | 3 | |
| 15 | 6 | |
| 16 | Computer aided analysis system of gastric cancer based on endoscopic image database | 2 |
| 17 | 5 | |
| 18 | 2 | |
| 19 | 8 | |
| 20 | 388 |
About Su Zhang
Su Zhang is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Statistics, Probability and Uncertainty, having authored 83 papers that have together received 1.9k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (23 papers), Image Retrieval and Classification Techniques (11 papers) and Robotics and Sensor-Based Localization (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (550 citations), Statistics, Probability and Uncertainty (187 citations) and Computer Vision and Pattern Recognition (495 citations). Su Zhang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Laurence O. Trussell, Cuntai Guan, Thomas S. Otis, Yazhu Chen, Yi Ding, Jin Guo, Qiuhao Zeng, Neethu Robinson, Lei Zhang and Yang Yang. Their work appears in journals such as Neuron, Journal of Neuroscience and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.