Anas M. Ali

752 total citations
26 papers, 315 citations indexed

About

Anas M. Ali is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Anas M. Ali has authored 26 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 10 papers in Media Technology and 8 papers in Artificial Intelligence. Recurrent topics in Anas M. Ali's work include Advanced Image Processing Techniques (11 papers), Image and Signal Denoising Methods (9 papers) and Advanced Image Fusion Techniques (8 papers). Anas M. Ali is often cited by papers focused on Advanced Image Processing Techniques (11 papers), Image and Signal Denoising Methods (9 papers) and Advanced Image Fusion Techniques (8 papers). Anas M. Ali collaborates with scholars based in Saudi Arabia, Egypt and Tunisia. Anas M. Ali's co-authors include Walid El‐Shafai, El‐Sayed M. El‐Rabaie, Anis Koubâa, Bilel Benjdira, Fathi E. Abd El‐Samie, Wadii Boulila, Naglaa F. Soliman, Saeed Mohsen, Abeer D. Algarni and Zahid Khan and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Geoscience and Remote Sensing and IEEE Access.

In The Last Decade

Anas M. Ali

22 papers receiving 289 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anas M. Ali Saudi Arabia 11 165 90 89 53 41 26 315
Sergey Kosov Germany 5 130 0.8× 115 1.3× 74 0.8× 63 1.2× 16 0.4× 9 307
Justin Joseph India 12 294 1.8× 73 0.8× 135 1.5× 62 1.2× 48 1.2× 36 472
Jieru Mei United States 6 179 1.1× 102 1.1× 25 0.3× 99 1.9× 59 1.4× 10 371
Tessamma Thomas India 10 137 0.8× 81 0.9× 61 0.7× 49 0.9× 28 0.7× 62 343
Tiep H. Vu United States 5 281 1.7× 136 1.5× 128 1.4× 81 1.5× 19 0.5× 7 390
Muhammad Sharif Pakistan 12 302 1.8× 99 1.1× 80 0.9× 103 1.9× 111 2.7× 23 433
Jiahao Huang China 9 137 0.8× 57 0.6× 39 0.4× 149 2.8× 32 0.8× 27 376
Chengrui Gao China 4 150 0.9× 76 0.8× 25 0.3× 60 1.1× 38 0.9× 8 239
Shoaib Azmat Pakistan 9 173 1.0× 135 1.5× 46 0.5× 107 2.0× 28 0.7× 23 390
Riaz Ali China 7 136 0.8× 111 1.2× 27 0.3× 84 1.6× 12 0.3× 20 313

Countries citing papers authored by Anas M. Ali

Since Specialization
Citations

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

Fields of papers citing papers by Anas M. Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anas M. Ali

This figure shows the co-authorship network connecting the top 25 collaborators of Anas M. Ali. A scholar is included among the top collaborators of Anas M. 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 Anas M. Ali. Anas M. Ali 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.
2.
Ali, Anas M., et al.. (2025). CLEAR-Net: A Cascaded Local and External Attention Network for Enhanced Dehazing of Remote Sensing Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 1–20.
3.
Benjdira, Bilel, Anis Koubâa, & Anas M. Ali. (2025). Prompting Robotic Modalities (PRM): A structured architecture for centralizing language models in complex systems. Future Generation Computer Systems. 166. 107723–107723.
4.
Ali, Anas M., Bilel Benjdira, Wadii Boulila, & Anis Koubâa. (2025). Dehazing-DiffGAN: Sequential Fusion of Diffusion Models and GANs for High-Fidelity Remote Sensing Image Dehazing. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–15. 1 indexed citations
5.
El‐Shafai, Walid, et al.. (2025). H-fusion SEG: dual-branch hyper-attention fusion network with SAM integration for robust skin disease segmentation. Scientific Reports. 15(1). 33668–33668.
6.
Benjdira, Bilel, et al.. (2024). DiffPlate: A Diffusion Model for Super-Resolution of License Plate Images. Electronics. 13(13). 2670–2670. 5 indexed citations
7.
Benjdira, Bilel, Anas M. Ali, Anis Koubâa, Adel Ammar, & Wadii Boulila. (2024). DM–AHR: A Self-Supervised Conditional Diffusion Model for AI-Generated Hairless Imaging for Enhanced Skin Diagnosis Applications. Cancers. 16(17). 2947–2947. 2 indexed citations
8.
Mohsen, Saeed, et al.. (2023). Automatic modulation recognition using CNN deep learning models. Multimedia Tools and Applications. 83(3). 7035–7056. 14 indexed citations
9.
Ali, Anas M., Bilel Benjdira, Anis Koubâa, et al.. (2023). Vision Transformers in Image Restoration: A Survey. Sensors. 23(5). 2385–2385. 62 indexed citations
10.
Ali, Anas M., Bilel Benjdira, Anis Koubâa, Wadii Boulila, & Walid El‐Shafai. (2023). TESR: Two-Stage Approach for Enhancement and Super-Resolution of Remote Sensing Images. Remote Sensing. 15(9). 2346–2346. 25 indexed citations
11.
El‐Shafai, Walid, et al.. (2023). Single image super-resolution approaches in medical images based-deep learning: a survey. Multimedia Tools and Applications. 83(10). 30467–30503. 11 indexed citations
12.
El‐Shafai, Walid, et al.. (2023). Traditional and deep-learning-based denoising methods for medical images. Multimedia Tools and Applications. 83(17). 52061–52088. 17 indexed citations
13.
Ali, Anas M., Walid El‐Shafai, Ashraf A. M. Khalaf, et al.. (2023). Modulation format recognition using CNN-based transfer learning models. Optical and Quantum Electronics. 55(4). 8 indexed citations
14.
Benjdira, Bilel, Anas M. Ali, & Anis Koubâa. (2023). Streamlined Global and Local Features Combinator (SGLC) for High Resolution Image Dehazing. 1855–1864. 9 indexed citations
15.
Ali, Anas M., et al.. (2023). Deep-learning-based super-resolution and classification framework for skin disease detection applications. Optical and Quantum Electronics. 55(5). 10 indexed citations
16.
17.
El‐Shafai, Walid, Ehab Mahmoud Mohamed, Medien Zeghid, Anas M. Ali, & Moustafa H. Aly. (2022). Hybrid Single Image Super-Resolution Algorithm for Medical Images. Computers, materials & continua/Computers, materials & continua (Print). 72(3). 4879–4896. 11 indexed citations
18.
Ali, Anas M. & Pavel Smrž. (2021). Camera auto-calibration for complex scenes. 3 indexed citations
19.
El‐Shafai, Walid, El‐Sayed M. El‐Rabaie, Anas M. Ali, et al.. (2021). Convolutional Neural Network-Based Identity Recognition Using ECG at Different Water Temperatures During Bathing. Computers, materials & continua/Computers, materials & continua (Print). 71(1). 1807–1819. 5 indexed citations
20.
El‐Shafai, Walid, El‐Sayed M. El‐Rabaie, Anas M. Ali, et al.. (2021). Efficient Deep-Learning-Based Autoencoder Denoising Approach for Medical Image Diagnosis. Computers, materials & continua/Computers, materials & continua (Print). 70(3). 6107–6125. 44 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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