Nahian Siddique
- Computer Vision and Pattern Recognition top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Artificial Intelligence top 5%
- Biomedical Engineering
- Neurology top 5%
- Co-authors
- Vijay DevabhaktuniSidike PahedingColin ElkinEbrahim BabaeianMarkus TullerYuichi MotaiHiroyuki YoshidaMd Zahangir Alom
- Topics
- AI in cancer detection (4 papers)Advanced Neural Network Applications (2 papers)COVID-19 diagnosis using AI (2 papers)
- Partner nations
- United StatesBangladeshJapan
In The Last Decade
Nahian Siddique
12 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Computer Vision and Pattern Recognition 431
- Radiology, Nuclear Medicine and Imaging 326
- Artificial Intelligence 270
- Biomedical Engineering 193
- Neurology 142
Countries citing papers authored by Nahian Siddique
This map shows the geographic impact of Nahian Siddique'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 Nahian Siddique with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nahian Siddique more than expected).
Fields of papers citing papers by Nahian Siddique
This network shows the impact of papers produced by Nahian Siddique. 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 Nahian Siddique. The network helps show where Nahian Siddique may publish in the future.
Co-authorship network of co-authors of Nahian Siddique
This figure shows the co-authorship network connecting the top 25 collaborators of Nahian Siddique. A scholar is included among the top collaborators of Nahian Siddique 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 Nahian Siddique. Nahian Siddique is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 54 | |
| 3 | 10 | |
| 4 | U-Net and Its Variants for Medical Image Segmentation: A Review of Theory and Applicationsbreakdown → | 1077 |
| 5 | 108 | |
| 6 | 12 | |
| 7 | 16 | |
| 8 | 3 | |
| 9 | 6 | |
| 10 | 5 | |
| 11 | 10 | |
| 12 | 5 |
About Nahian Siddique
Nahian Siddique is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Hardware and Architecture, having authored 12 papers that have together received 1.3k indexed citations. Recurring topics across this work include AI in cancer detection (4 papers), Advanced Neural Network Applications (2 papers) and COVID-19 diagnosis using AI (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (431 citations), Neurology (142 citations) and Radiology, Nuclear Medicine and Imaging (326 citations). Nahian Siddique has collaborated with scholars based in United States, Bangladesh and Japan. Frequent co-authors include Vijay Devabhaktuni, Sidike Paheding, Colin Elkin, Ebrahim Babaeian, Markus Tuller, Yuichi Motai, Hiroyuki Yoshida, Md Zahangir Alom, Dihan Hasan and V. Devabhaktuni. Their work appears in journals such as Remote Sensing of Environment, Journal of Hydrology 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.