Shafiullah Soomro

906 total citations · 1 hit paper
22 papers, 556 citations indexed

About

Shafiullah Soomro is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Shafiullah Soomro has authored 22 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 6 papers in Media Technology. Recurrent topics in Shafiullah Soomro's work include Medical Image Segmentation Techniques (16 papers), Image and Object Detection Techniques (5 papers) and Advanced Image Fusion Techniques (4 papers). Shafiullah Soomro is often cited by papers focused on Medical Image Segmentation Techniques (16 papers), Image and Object Detection Techniques (5 papers) and Advanced Image Fusion Techniques (4 papers). Shafiullah Soomro collaborates with scholars based in South Korea, Pakistan and Australia. Shafiullah Soomro's co-authors include Kwang Nam Choi, Toufique Ahmed Soomro, Lihong Zheng, Ahmed J. Afifi, Junbin Gao, Ming Yin, Ahmed Ali, Manoranjan Paul, Olaf Hellwich and Farhan Akram and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

In The Last Decade

Shafiullah Soomro

19 papers receiving 521 citations

Hit Papers

Image Segmentation for MR Brain Tumor Detection Using Mac... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shafiullah Soomro South Korea 12 348 268 158 124 112 22 556
Rostom Kachouri France 7 336 1.0× 223 0.8× 238 1.5× 100 0.8× 98 0.9× 26 533
Pierre-Henri Conze France 14 277 0.8× 304 1.1× 68 0.4× 199 1.6× 64 0.6× 47 616
Khin Yadanar Win Thailand 11 174 0.5× 223 0.8× 61 0.4× 120 1.0× 107 1.0× 16 354
Mehrdad Moghbel Malaysia 10 196 0.6× 298 1.1× 53 0.3× 167 1.3× 78 0.7× 17 470
Tahir Mahmood South Korea 13 192 0.6× 342 1.3× 55 0.3× 232 1.9× 88 0.8× 30 620
Márton Szemenyei Hungary 6 251 0.7× 275 1.0× 41 0.3× 73 0.6× 139 1.2× 19 434
Swamidoss Issac Niwas India 14 212 0.6× 279 1.0× 33 0.2× 140 1.1× 202 1.8× 19 499
Yangqin Feng Singapore 12 165 0.5× 258 1.0× 47 0.3× 232 1.9× 68 0.6× 20 444
Xuanya Li China 7 200 0.6× 160 0.6× 108 0.7× 107 0.9× 58 0.5× 16 327
Maria Inês Meyer Belgium 5 177 0.5× 220 0.8× 25 0.2× 88 0.7× 72 0.6× 5 368

Countries citing papers authored by Shafiullah Soomro

Since Specialization
Citations

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

Fields of papers citing papers by Shafiullah Soomro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shafiullah Soomro

This figure shows the co-authorship network connecting the top 25 collaborators of Shafiullah Soomro. A scholar is included among the top collaborators of Shafiullah Soomro 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 Shafiullah Soomro. Shafiullah Soomro 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.
Soomro, Shafiullah, et al.. (2024). Image Segmentation Using Bias Correction Active Contours. IEEE Access. 12. 60641–60655. 2 indexed citations
2.
Soomro, Shafiullah, et al.. (2024). Denoising Diffusion-Based Image Generation Model Using Principal Component Analysis. IEEE Access. 12. 170487–170498.
3.
Soomro, Shafiullah, et al.. (2024). Increment-CAM: Incrementally-Weighted Class Activation Maps for Better Visual Explanations. IEEE Access. 12. 88829–88840. 3 indexed citations
4.
Amin, Sareer Ul, et al.. (2024). Spatially Aware Fusion in 3D Convolutional Autoencoders for Video Anomaly Detection. IEEE Access. 12. 104770–104784. 4 indexed citations
5.
Soomro, Shafiullah, et al.. (2023). Selective image segmentation driven by region, edge and saliency functions. PLoS ONE. 18(12). e0294789–e0294789.
6.
Soomro, Toufique Ahmed, Lihong Zheng, Ahmed J. Afifi, et al.. (2022). Image Segmentation for MR Brain Tumor Detection Using Machine Learning: A Review. IEEE Reviews in Biomedical Engineering. 16. 70–90. 182 indexed citations breakdown →
7.
Soomro, Shafiullah, et al.. (2020). Hybrid SPF and KD Operator-Based Active Contour Model for Image Segmentation. IEEE Access. 8. 198368–198383. 2 indexed citations
8.
Soomro, Shafiullah, et al.. (2020). SRIS: Saliency-Based Region Detection and Image Segmentation of COVID-19 Infected Cases. IEEE Access. 8. 190487–190503. 17 indexed citations
9.
Soomro, Shafiullah, et al.. (2020). Inhomogeneous Image Segmentation Using Hybrid Active Contours Model With Application to Breast Tumor Detection. IEEE Access. 8. 186851–186861. 16 indexed citations
10.
Soomro, Shafiullah, et al.. (2020). Segmentation of Intensity-Corrupted Medical Images Using Adaptive Weight-Based Hybrid Active Contours. Computational and Mathematical Methods in Medicine. 2020. 1–14. 5 indexed citations
11.
Soomro, Toufique Ahmed, Ahmed J. Afifi, Ahmed Ali, et al.. (2019). Impact of Image Enhancement Technique on CNN Model for Retinal Blood Vessels Segmentation. IEEE Access. 7. 158183–158197. 56 indexed citations
12.
Soomro, Shafiullah, et al.. (2019). Hybrid Active Contours Driven by Edge and Region Fitting Energies Based on p-Laplace Equation. IEEE Access. 7. 135399–135412. 8 indexed citations
13.
Soomro, Toufique Ahmed, Ahmed J. Afifi, Lihong Zheng, et al.. (2019). Deep Learning Models for Retinal Blood Vessels Segmentation: A Review. IEEE Access. 7. 71696–71717. 107 indexed citations
14.
Soomro, Shafiullah, et al.. (2018). An Active Contour Model Based on Region Based Fitting Terms Driven by p-Laplace Length Regularization. IEEE Access. 6. 58272–58283. 12 indexed citations
15.
Soomro, Shafiullah, et al.. (2018). Hybrid two-stage active contour method with region and edge information for intensity inhomogeneous image segmentation. PLoS ONE. 13(1). e0191827–e0191827. 39 indexed citations
16.
Soomro, Shafiullah, et al.. (2018). Fuzzy c-means clustering based active contour model driven by edge scaled region information. Expert Systems with Applications. 120. 387–396. 25 indexed citations
17.
Soomro, Shafiullah, et al.. (2018). Adaptive active contours based on variable kernel with constant initialisation. IET Image Processing. 12(7). 1117–1123. 12 indexed citations
18.
Soomro, Shafiullah & Kwang Nam Choi. (2018). Active Contours Based on An Anisotropic Diffusion. 2016. 1–6.
19.
Soomro, Shafiullah, et al.. (2017). Segmentation of Left and Right Ventricles in Cardiac MRI Using Active Contours. Computational and Mathematical Methods in Medicine. 2017. 1–16. 31 indexed citations
20.
Soomro, Shafiullah, et al.. (2016). Active Contours Using Additive Local and Global Intensity Fitting Models for Intensity Inhomogeneous Image Segmentation. Computational and Mathematical Methods in Medicine. 2016. 1–15. 15 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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