Ehsan Adeli
Impact in
- Neurology top 0.5%
- Brain Tumor Detection and Classification
- Health Informatics top 1%
Papers in
-
- Medical Image Segmentation Techniques 15
- Human Pose and Action Recognition 15
-
- Machine Learning in Healthcare 16
- Anomaly Detection Techniques and Applications 16
- Domain Adaptation and Few-Shot Learning 15
- Co-authors
- Dinggang Shen (44 shared papers)Kilian M. Pohl (50 shared papers)Jun Zhang (5 shared papers)Dong Nie (9 shared papers)Qingyu Zhao (36 shared papers)Mingxia Liu (8 shared papers)J. Mahjoobi (1 shared paper)Juan Carlos Niebles (13 shared papers)
- Journals
- Medical Image Analysis (13 papers)Lecture notes in computer science (55 papers)Scientific Reports (4 papers)IEEE Transactions on Medical Imaging (4 papers)NeuroImage (4 papers)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Ehsan Adeli
150 papers receiving 5.5k citations
Ehsan Adeli's Hit Papers
Peers
Comparison fields: 5 of 173
- Neurology 880
- Health Informatics 127
- Computer Vision and Pattern Recognition 1.9k
- Radiology, Nuclear Medicine and Imaging 1.3k
- Artificial Intelligence 1.8k
Countries citing papers authored by Ehsan Adeli
This map shows the geographic impact of Ehsan Adeli'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 Ehsan Adeli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ehsan Adeli more than expected).
Fields of papers citing papers by Ehsan Adeli
This network shows the impact of papers produced by Ehsan Adeli. 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 Ehsan Adeli. The network helps show where Ehsan Adeli may publish in the future.
Co-authors
The 25 scholars most cited alongside Ehsan Adeli, 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 161 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers Hit paper breakdown → | 2024 | 406 |
| 2 | 2017 | 333 | |
| 3 | Medical Image Segmentation Review: The Success of U-Net Hit paper breakdown → | 2024 | 306 |
| 4 | 2018 | 240 | |
| 5 | 2016 | 231 | |
| 6 | 2009 | 210 | |
| 7 | 2020 | 187 | |
| 8 | 2019 | 181 | |
| 9 | 2019 | 173 | |
| 10 | 2018 | 150 | |
| 11 | 2020 | 140 | |
| 12 | 2022 | 127 | |
| 13 | 2015 | 116 | |
| 14 | 2020 | 115 | |
| 15 | 2020 | 104 | |
| 16 | 2022 | 102 | |
| 17 | 2020 | 90 | |
| 18 | 2016 | 88 | |
| 19 | 2020 | 80 | |
| 20 | 2018 | 79 |
About Ehsan Adeli
Ehsan Adeli is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Neurology, having authored 161 papers that have together received 5.6k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (20 papers), Machine Learning in Healthcare (16 papers), Anomaly Detection Techniques and Applications (16 papers), Medical Image Segmentation Techniques (15 papers), Domain Adaptation and Few-Shot Learning (15 papers), Human Pose and Action Recognition (15 papers), Radiomics and Machine Learning in Medical Imaging (15 papers) and Advanced Neuroimaging Techniques and Applications (13 papers). The work is most often cited by research in Neurology (880 citations), Health Informatics (127 citations), Computer Vision and Pattern Recognition (1.9k citations), Radiology, Nuclear Medicine and Imaging (1.3k citations) and Artificial Intelligence (1.8k citations). Ehsan Adeli has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Dinggang Shen, Kilian M. Pohl, Jun Zhang, Dong Nie, Qingyu Zhao, Mingxia Liu, J. Mahjoobi, Juan Carlos Niebles, Mingxia Liu and Han Zhang. Their work appears in journals such as Medical Image Analysis, Lecture notes in computer science, Scientific Reports, IEEE Transactions on Medical Imaging and NeuroImage.
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.