Ali Bilgin

2.7k total citations
136 papers, 1.7k citations indexed

About

Ali Bilgin is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Signal Processing. According to data from OpenAlex, Ali Bilgin has authored 136 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Computer Vision and Pattern Recognition, 45 papers in Radiology, Nuclear Medicine and Imaging and 41 papers in Signal Processing. Recurrent topics in Ali Bilgin's work include Advanced Data Compression Techniques (70 papers), Image and Signal Denoising Methods (59 papers) and Advanced MRI Techniques and Applications (35 papers). Ali Bilgin is often cited by papers focused on Advanced Data Compression Techniques (70 papers), Image and Signal Denoising Methods (59 papers) and Advanced MRI Techniques and Applications (35 papers). Ali Bilgin collaborates with scholars based in United States, China and South Korea. Ali Bilgin's co-authors include Michael W. Marcellin, María I. Altbach, Michael Gormish, Martin P. Boliek, Mariappan S. Nadar, Chuan Huang, Eric Clarkson, Christian Graff, George Zweig and Feng Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Ali Bilgin

129 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ali Bilgin United States 20 1.0k 500 449 204 166 136 1.7k
Yasser M. Kadah Egypt 22 627 0.6× 707 1.4× 183 0.4× 63 0.3× 283 1.7× 160 2.1k
Shiv Dutt Joshi India 16 391 0.4× 138 0.3× 262 0.6× 57 0.3× 92 0.6× 66 885
Jiasong Wu China 19 707 0.7× 235 0.5× 143 0.3× 66 0.3× 208 1.3× 78 1.1k
Morteza Mardani United States 14 226 0.2× 444 0.9× 115 0.3× 382 1.9× 186 1.1× 34 1.2k
M. Salman Asif United States 19 462 0.5× 130 0.3× 175 0.4× 435 2.1× 291 1.8× 89 1.4k
Majid Rabbani United States 11 917 0.9× 177 0.4× 320 0.7× 26 0.1× 194 1.2× 28 1.3k
Tian Liu United States 16 604 0.6× 762 1.5× 75 0.2× 27 0.1× 406 2.4× 73 1.7k
Ivica Kopriva Croatia 13 651 0.6× 148 0.3× 260 0.6× 169 0.8× 107 0.6× 97 1.2k
Leonid Zhukov United States 18 161 0.2× 277 0.6× 145 0.3× 66 0.3× 73 0.4× 50 1.0k

Countries citing papers authored by Ali Bilgin

Since Specialization
Citations

This map shows the geographic impact of Ali Bilgin'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 Ali Bilgin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Bilgin more than expected).

Fields of papers citing papers by Ali Bilgin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ali Bilgin. 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 Ali Bilgin. The network helps show where Ali Bilgin may publish in the future.

Co-authorship network of co-authors of Ali Bilgin

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Bilgin. A scholar is included among the top collaborators of Ali Bilgin 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 Ali Bilgin. Ali Bilgin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bilgin, Ali, et al.. (2025). Multi-channel MRI reconstruction using cascaded Swinμ transformers with overlapped attention. Physics in Medicine and Biology. 70(7). 75002–75002.
2.
Brown, Taylor N.T., et al.. (2023). Reducing annotation burden in MR: A novel MR‐contrast guided contrastive learning approach for image segmentation. Medical Physics. 51(4). 2707–2720. 1 indexed citations
3.
Keerthivasan, Mahesh, et al.. (2021). A Stacked Generalization of 3D Orthogonal Deep Learning Convolutional Neural Networks for Improved Detection of White Matter Hyperintensities in 3D FLAIR Images. American Journal of Neuroradiology. 42(4). 639–647. 6 indexed citations
4.
Li, Zhitao, Mahesh Keerthivasan, Ali Bilgin, et al.. (2021). Rapid high-resolution volumetric T1 mapping using a highly accelerated stack-of-stars Look Locker technique. Magnetic Resonance Imaging. 79. 28–37. 7 indexed citations
5.
Liu, Feng, et al.. (2020). Visibility of quantization errors in reversible JPEG2000. Signal Processing Image Communication. 84. 115812–115812. 4 indexed citations
6.
Winegar, Blair A., et al.. (2020). Fully Automated Segmentation of Globes for Volume Quantification in CT Images of Orbits using Deep Learning. American Journal of Neuroradiology. 41(6). 1061–1069. 10 indexed citations
7.
Keerthivasan, Mahesh, et al.. (2020). Improving subspace constrained radial fast spin echo MRI using block matching driven non-local low rank regularization. Physics in Medicine and Biology. 66(4). 04NT03–04NT03. 3 indexed citations
8.
Vedantham, Srinivasan, et al.. (2020). A residual dense network assisted sparse view reconstruction for breast computed tomography. Scientific Reports. 10(1). 21111–21111. 13 indexed citations
9.
Keerthivasan, Mahesh, Blair A. Winegar, Jennifer Becker, et al.. (2018). Clinical Utility of a Novel Ultrafast T2-Weighted Sequence for Spine Imaging. American Journal of Neuroradiology. 39(8). 1568–1575. 8 indexed citations
10.
Niazi, Muhammad Khalid Khan, Yuan Lin, Michael W. Marcellin, et al.. (2018). Pathological image compression for big data image analysis: Application to hotspot detection in breast cancer. Artificial Intelligence in Medicine. 95. 82–87. 20 indexed citations
11.
Keerthivasan, Mahesh, Kevin M. Johnson, Ryan Avery, et al.. (2018). A multi-band double-inversion radial fast spin-echo technique for T2 cardiovascular magnetic resonance mapping of the heart. Journal of Cardiovascular Magnetic Resonance. 20(1). 49–49. 3 indexed citations
12.
Chen, Nan‐kuei, Hing‐Chiu Chang, Ali Bilgin, Adam Bernstein, & Theodore P. Trouard. (2018). A diffusion-matched principal component analysis (DM-PCA) based two-channel denoising procedure for high-resolution diffusion-weighted MRI. PLoS ONE. 13(4). e0195952–e0195952. 14 indexed citations
13.
Bilgin, Ali, et al.. (2012). Visually Lossless Encoding for JPEG2000. IEEE Transactions on Image Processing. 22(1). 189–201. 33 indexed citations
14.
Marcellin, Michael W., et al.. (2009). View Compensated Compression of Volume Rendered Images for Remote Visualization. IEEE Transactions on Image Processing. 18(7). 1501–1511. 6 indexed citations
15.
Li, Zhiqiang, Christian Graff, Arthur F. Gmitro, et al.. (2009). Rapid water and lipid imaging with T2 mapping using a radial IDEAL‐GRASE technique. Magnetic Resonance in Medicine. 61(6). 1415–1424. 24 indexed citations
16.
Raguram, Rahul, Michael W. Marcellin, & Ali Bilgin. (2009). Improved Resolution Scalability for Bilevel Image Data in JPEG2000. IEEE Transactions on Image Processing. 18(4). 774–782. 11 indexed citations
17.
Bilgin, Ali & Ayşen Yılmaz. (2006). Cooperative Diversity Techniques for Wireless Networks. OpenMETU (Middle East Technical University). 4. 1–4. 1 indexed citations
18.
Bilgin, Ali, et al.. (2003). Resource-constrained rate control for motion JPEG2000. IEEE Transactions on Image Processing. 12(12). 1522–1529. 18 indexed citations
19.
Marcellin, Michael W., Michael Gormish, Ali Bilgin, & Martin P. Boliek. (2002). An overview of JPEG-2000. 523–541. 258 indexed citations
20.
Marcellin, Michael W., Michael Gormish, Ali Bilgin, & Martin P. Boliek. (2000). Overview of JPEG-2000. 523–541. 2 indexed citations

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.

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