Mohammad Abu Yousuf
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Neurology top 5%
- Computer Networks and Communications top 5%
- Co-authors
- Mohammad Ali MoniAKM AzadNuruzzaman FaruquiMohammad Badrul Alam MiahSabbir AhmedMd WhaiduzzamanSalem A. AlyamiKazi Abu Taher
- Topics
- Advanced Neural Network Applications (8 papers)Brain Tumor Detection and Classification (7 papers)Radiomics and Machine Learning in Medical Imaging (7 papers)
- Partner nations
- BangladeshAustraliaSaudi Arabia
In The Last Decade
Mohammad Abu Yousuf
78 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Artificial Intelligence 537
- Computer Vision and Pattern Recognition 457
- Radiology, Nuclear Medicine and Imaging 303
- Neurology 281
- Computer Networks and Communications 251
Countries citing papers authored by Mohammad Abu Yousuf
This map shows the geographic impact of Mohammad Abu Yousuf'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 Mohammad Abu Yousuf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Abu Yousuf more than expected).
Fields of papers citing papers by Mohammad Abu Yousuf
This network shows the impact of papers produced by Mohammad Abu Yousuf. 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 Mohammad Abu Yousuf. The network helps show where Mohammad Abu Yousuf may publish in the future.
Co-authorship network of co-authors of Mohammad Abu Yousuf
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Abu Yousuf. A scholar is included among the top collaborators of Mohammad Abu Yousuf 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 Mohammad Abu Yousuf. Mohammad Abu Yousuf 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 | 2 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 6 | |
| 8 | 5 | |
| 9 | Robust clinical applicable CNN and U-Net based algorithm for MRI classification and segmentation for brain tumorbreakdown → | 118 |
| 10 | 34 | |
| 11 | 63 | |
| 12 | 23 | |
| 13 | LungNet: A hybrid deep-CNN model for lung cancer diagnosis using CT and wearable sensor-based medical IoT databreakdown → | 142 |
| 14 | 90 | |
| 15 | 2 | |
| 16 | 4 | |
| 17 | 4 | |
| 18 | Real time facial expression recognition for nonverbal communication. | 3 |
| 19 | 1 | |
| 20 | 19 |
About Mohammad Abu Yousuf
Mohammad Abu Yousuf is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Media Technology, having authored 86 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (8 papers), Brain Tumor Detection and Classification (7 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). The work is most often cited by research in Neurology (281 citations), Computer Vision and Pattern Recognition (457 citations) and Artificial Intelligence (537 citations). Mohammad Abu Yousuf has collaborated with scholars based in Bangladesh, Australia and Saudi Arabia. Frequent co-authors include Mohammad Ali Moni, AKM Azad, Nuruzzaman Faruqui, Mohammad Badrul Alam Miah, Sabbir Ahmed, Md Whaiduzzaman, Salem A. Alyami, Kazi Abu Taher, Nazrul Islam and Khondokar Fida Hasan. Their work appears in journals such as Optics Express, Expert Systems with Applications and IEEE Access.
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.