Redha Ali

443 total citations
15 papers, 219 citations indexed

About

Redha Ali is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Redha Ali has authored 15 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Artificial Intelligence. Recurrent topics in Redha Ali's work include Radiomics and Machine Learning in Medical Imaging (5 papers), Digital Imaging for Blood Diseases (4 papers) and COVID-19 diagnosis using AI (4 papers). Redha Ali is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), Digital Imaging for Blood Diseases (4 papers) and COVID-19 diagnosis using AI (4 papers). Redha Ali collaborates with scholars based in United States and United Kingdom. Redha Ali's co-authors include Russell C. Hardie, Barath Narayanan Narayanan, Temesguen M. Kebede, Hailong Li, Lili He, Nehal A. Parikh, Mekibib Altaye, Jonathan R. Dillman, Hui Wang and Krishna Shanbhogue and has published in prestigious journals such as European Radiology, Applied Sciences and Pediatric Radiology.

In The Last Decade

Redha Ali

14 papers receiving 212 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Redha Ali United States	9	109	85	82	28	27	15	219
Aimon Rahman Bangladesh	7	118 1.1×	97 1.1×	93 1.1×	16 0.6×	22 0.8×	8	225
Ghulam Gilanie Pakistan	11	119 1.1×	70 0.8×	108 1.3×	21 0.8×	13 0.5×	33	291
Rajeev Kumar Singh India	9	60 0.6×	132 1.6×	138 1.7×	72 2.6×	10 0.4×	25	380
Miao Wu China	7	43 0.4×	151 1.8×	99 1.2×	34 1.2×	4 0.1×	13	323
J. F. Chang China	3	53 0.5×	83 1.0×	59 0.7×	16 0.6×	11 0.4×	8	206
Pingli Ma China	7	68 0.6×	71 0.8×	44 0.5×	14 0.5×	69 2.6×	9	250
Sohaib Asif China	10	48 0.4×	84 1.0×	76 0.9×	3 0.1×	16 0.6×	18	235
Kaushiki Roy India	5	144 1.3×	173 2.0×	171 2.1×	6 0.2×	17 0.6×	12	279
Khin Yadanar Win Thailand	11	174 1.6×	120 1.4×	223 2.7×	4 0.1×	22 0.8×	16	354
Asok Kumar Maiti India	8	206 1.9×	165 1.9×	106 1.3×	62 2.2×	66 2.4×	10	350

Countries citing papers authored by Redha Ali

Since Specialization

Citations

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

Fields of papers citing papers by Redha Ali

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Redha Ali

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

All Works

Sort: Min cites: Since: Top N: Style:

15 of 15 papers shown

Ali, Redha, Hailong Li, Wen‐Chi Pan, et al.. (2025). Multi-site, multi-vendor development and validation of a deep learning model for liver stiffness prediction using abdominal biparametric MRI. European Radiology. 35(7). 4362–4373. 1 indexed citations

Jia, Wei, Hailong Li, Redha Ali, et al.. (2024). Investigation of ComBat Harmonization on Radiomic and Deep Features from Multi-Center Abdominal MRI Data. Journal of Imaging Informatics in Medicine. 38(2). 1016–1027. 2 indexed citations

Li, Hailong, Redha Ali, Wei Jia, et al.. (2024). Development and Validation of a Modality-Invariant 3D Swin U-Net Transformer for Liver and Spleen Segmentation on Multi-Site Clinical Bi-parametric MR Images. Journal of Imaging Informatics in Medicine. 38(5). 2688–2699.

Ali, Redha, Hailong Li, Jonathan R. Dillman, et al.. (2022). A self-training deep neural network for early prediction of cognitive deficits in very preterm infants using brain functional connectome data. Pediatric Radiology. 52(11). 2227–2240. 16 indexed citations

Ali, Redha, Russell C. Hardie, Barath Narayanan Narayanan, & Temesguen M. Kebede. (2022). IMNets: Deep Learning Using an Incremental Modular Network Synthesis Approach for Medical Imaging Applications. Applied Sciences. 12(11). 5500–5500. 38 indexed citations

Narayanan, Barath Narayanan, et al.. (2021). Ensemble Method of Lung Segmentation in Chest Radiographs. 382–385. 5 indexed citations

Ali, Redha, et al.. (2020). Ensemble Lung Segmentation System Using Deep Neural Networks. 1–5. 8 indexed citations

Ali, Redha, et al.. (2020). Deep Convolutional Neural Network Ensemble for Improved Malaria Parasite Detection. 1–10. 12 indexed citations

Ali, Redha, et al.. (2019). Aggregate Channel Features Based on Local Phase, Color, Texture, and Gradient Features for People Localization. 3. 351–355. 1 indexed citations

10.

Ali, Redha, et al.. (2019). Fused Deep Convolutional Neural Networks Based on Voting Approach for Efficient Object Classification. 1. 335–339. 4 indexed citations

11.

Narayanan, Barath Narayanan, Redha Ali, & Russell C. Hardie. (2019). Performance analysis of machine learning and deep learning architectures for malaria detection on cell images. 29–29. 50 indexed citations

12.

Narayanan, Barath Narayanan, et al.. (2019). Convolutional Neural Network for Classification of Histopathology Images for Breast Cancer Detection. 291–295. 22 indexed citations

13.

Ali, Redha, et al.. (2019). Deep Learning Ensemble Methods for Skin Lesion Analysis towards Melanoma Detection. 311–316. 30 indexed citations

14.

Ali, Redha, et al.. (2018). A Leaf Recognition Approach to Plant Classification Using Machine Learning. 431–434. 14 indexed citations

15.

Ali, Redha & Russell C. Hardie. (2017). Recursive non-local means filter for video denoising. EURASIP Journal on Image and Video Processing. 2017(1). 16 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.

Explore authors with similar magnitude of impact