Ademola E. Ilesanmi
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence top 10%
- Media Technology top 5%
- Cognitive Neuroscience
- Co-authors
- Stanislav S. MakhanovGuanglin LiPeng FangXiangxin LiOluwarotimi Williams SamuelChalie CharoenlarpnopparutDrew A. TorigianJayaram K. Udupa
- Topics
- AI in cancer detection (7 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)Digital Imaging for Blood Diseases (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyRadiology, Nuclear Medicine and Imaging
- Journals
- SHILAP Revista de lepidopterologíaApplied SciencesComputer Methods and Programs in Biomedicine
- Partner nations
- ThailandChinaUnited States
In The Last Decade
Ademola E. Ilesanmi
13 papers receiving 442 citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Computer Vision and Pattern Recognition 217
- Radiology, Nuclear Medicine and Imaging 153
- Artificial Intelligence 124
- Media Technology 93
- Cognitive Neuroscience 52
Countries citing papers authored by Ademola E. Ilesanmi
This map shows the geographic impact of Ademola E. Ilesanmi'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 Ademola E. Ilesanmi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ademola E. Ilesanmi more than expected).
Fields of papers citing papers by Ademola E. Ilesanmi
This network shows the impact of papers produced by Ademola E. Ilesanmi. 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 Ademola E. Ilesanmi. The network helps show where Ademola E. Ilesanmi may publish in the future.
Co-authorship network of co-authors of Ademola E. Ilesanmi
This figure shows the co-authorship network connecting the top 25 collaborators of Ademola E. Ilesanmi. A scholar is included among the top collaborators of Ademola E. Ilesanmi 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 Ademola E. Ilesanmi. Ademola E. Ilesanmi 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 | 5 | |
| 3 | 13 | |
| 4 | 0 | |
| 5 | 25 | |
| 6 | 12 | |
| 7 | 0 | |
| 8 | 32 | |
| 9 | Methods for image denoising using convolutional neural network: a reviewbreakdown → | 207 |
| 10 | 27 | |
| 11 | 27 | |
| 12 | 44 | |
| 13 | 15 | |
| 14 | 29 | |
| 15 | 20 |
About Ademola E. Ilesanmi
Ademola E. Ilesanmi is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Ophthalmology, having authored 15 papers that have together received 457 indexed citations. Recurring topics across this work include AI in cancer detection (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Digital Imaging for Blood Diseases (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (217 citations), Media Technology (93 citations) and Radiology, Nuclear Medicine and Imaging (153 citations). Ademola E. Ilesanmi has collaborated with scholars based in Thailand, China and United States. Frequent co-authors include Stanislav S. Makhanov, Guanglin Li, Peng Fang, Xiangxin Li, Oluwarotimi Williams Samuel, Chalie Charoenlarpnopparut, Drew A. Torigian, Jayaram K. Udupa, David A. Wolk and James C. Gee. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Sciences and Computer Methods and Programs in Biomedicine.
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.