Ahmed Alksas

549 total citations
40 papers, 330 citations indexed

About

Ahmed Alksas is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Ahmed Alksas has authored 40 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Radiology, Nuclear Medicine and Imaging, 18 papers in Pulmonary and Respiratory Medicine and 6 papers in Molecular Biology. Recurrent topics in Ahmed Alksas's work include Radiomics and Machine Learning in Medical Imaging (22 papers), COVID-19 diagnosis using AI (7 papers) and Renal cell carcinoma treatment (6 papers). Ahmed Alksas is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (22 papers), COVID-19 diagnosis using AI (7 papers) and Renal cell carcinoma treatment (6 papers). Ahmed Alksas collaborates with scholars based in United States, United Arab Emirates and Egypt. Ahmed Alksas's co-authors include Ayman El‐Baz, Mohamed Shehata, Mohammed Ghazal, Ahmed Abdel Khalek Abdel Razek, Ali Mahmoud, Ahmed Shaffie, Ahmed Soliman, Sohail Contractor, Hadil Abu Khalifeh and Hossam Magdy Balaha and has published in prestigious journals such as Scientific Reports, IEEE Access and Sensors.

In The Last Decade

Ahmed Alksas

36 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ahmed Alksas United States 10 211 73 72 67 54 40 330
Bowen Xin China 11 224 1.1× 50 0.7× 110 1.5× 26 0.4× 20 0.4× 22 404
Sungwon Ham South Korea 9 202 1.0× 69 0.9× 90 1.3× 25 0.4× 38 0.7× 18 385
Sara Ahmed United States 9 244 1.2× 40 0.5× 53 0.7× 19 0.3× 75 1.4× 33 362
Marwa Ismail United States 9 319 1.5× 52 0.7× 51 0.7× 73 1.1× 121 2.2× 33 419
Eleftherios Trivizakis Greece 9 267 1.3× 191 2.6× 56 0.8× 50 0.7× 10 0.2× 16 389
Beiji Zou China 7 183 0.9× 26 0.4× 83 1.2× 46 0.7× 26 0.5× 18 236
Reza Farjam United States 11 182 0.9× 98 1.3× 97 1.3× 84 1.3× 61 1.1× 16 319
Wenjia Cai China 10 128 0.6× 60 0.8× 31 0.4× 44 0.7× 9 0.2× 30 282
Rencheng Zheng China 8 213 1.0× 64 0.9× 56 0.8× 38 0.6× 6 0.1× 19 323

Countries citing papers authored by Ahmed Alksas

Since Specialization
Citations

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

Fields of papers citing papers by Ahmed Alksas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ahmed Alksas

This figure shows the co-authorship network connecting the top 25 collaborators of Ahmed Alksas. A scholar is included among the top collaborators of Ahmed Alksas 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 Ahmed Alksas. Ahmed Alksas 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.
Derdour, Makhlouf, et al.. (2025). Evaluating Explainability in Transfer Learning Models for Pulmonary Nodules Classification: A Comparative Analysis of Generalizability and Interpretability. International Journal of Pattern Recognition and Artificial Intelligence. 39(15).
2.
Alksas, Ahmed, Ahmed Sharafeldeen, Hossam Magdy Balaha, et al.. (2024). Advanced OCTA imaging segmentation: Unsupervised, non-linear retinal vessel detection using modified self-organizing maps and joint MGRF modeling. Computer Methods and Programs in Biomedicine. 254. 108309–108309. 1 indexed citations
3.
Derdour, Makhlouf, et al.. (2024). Hybrid Deep Learning Approach with Feature Engineering for Enhanced Pulmonary Nodule Diagnosis. SN Computer Science. 5(7). 1 indexed citations
4.
Alksas, Ahmed, Ahmed Elmahdy, Sherry M. Khater, et al.. (2024). Artificial intelligence can help individualize Wilms tumor treatment by predicting tumor response to preoperative chemotherapy. Investigative and Clinical Urology. 66(1). 47–47. 2 indexed citations
5.
Alksas, Ahmed, Hossam Magdy Balaha, Mohamed Abou El‐Ghar, et al.. (2024). Advancing Personalized Prostate Cancer Therapy Through Hormonal Treatment: Promising Findings. 1–4. 1 indexed citations
6.
Balaha, Hossam Magdy, Ahmed Alksas, Mohamed Shehata, et al.. (2024). Precise Prostate Cancer Assessment Using IVIM-Based Parametric Estimation of Blood Diffusion from DW-MRI. Bioengineering. 11(6). 629–629. 4 indexed citations
7.
Alksas, Ahmed, Hossam Magdy Balaha, Ashraf Khalil, et al.. (2024). Insights into Personalized Care Strategies for Wilms Tumor: A Narrative Literature Review. Biomedicines. 12(7). 1455–1455. 4 indexed citations
8.
Alksas, Ahmed, Mohamed Shehata, Sherry M. Khater, et al.. (2024). Precise grading of non-muscle invasive bladder cancer with multi-scale pyramidal CNN. Scientific Reports. 14(1). 25131–25131. 2 indexed citations
9.
Alksas, Ahmed, et al.. (2023). Biomarkers for Kidney-Transplant Rejection: A Short Review Study. Biomedicines. 11(9). 2437–2437. 5 indexed citations
10.
Alksas, Ahmed, Mohamed Shehata, Ali Mahmoud, et al.. (2023). Exploring Neoadjuvant Chemotherapy, Predictive Models, Radiomic, and Pathological Markers in Breast Cancer: A Comprehensive Review. Cancers. 15(21). 5288–5288. 7 indexed citations
11.
Alksas, Ahmed, Hossam Magdy Balaha, Mohamed Shehata, et al.. (2023). Prediction of Wilms’ Tumor Susceptibility to Preoperative Chemotherapy Using a Novel Computer-Aided Prediction System. Diagnostics. 13(3). 486–486. 22 indexed citations
12.
Elnakib, Ahmed, Ahmed Alksas, Eric Van Bogaert, et al.. (2023). Diagnostic value of PET imaging in clinically unresponsive patients. British Journal of Radiology. 97(1154). 283–291. 4 indexed citations
13.
Elsharkawy, Mohamed, Ahmed Alksas, Ali Mahmoud, et al.. (2023). Automated Diagnosis of Breast Cancer Using Deep Learning-Based Whole Slide Image Analysis of Molecular Biomarkers. 2965–2969. 10 indexed citations
14.
Alksas, Ahmed, Mohamed Shehata, Norah Saleh Alghamdi, et al.. (2022). A Novel System for Precise Grading of Glioma. Bioengineering. 9(10). 532–532. 8 indexed citations
15.
Alksas, Ahmed, Ahmed Elnakib, Ali Mahmoud, et al.. (2022). The Role of Radiomics and AI Technologies in the Segmentation, Detection, and Management of Hepatocellular Carcinoma. Cancers. 14(24). 6123–6123. 17 indexed citations
16.
Shehata, Mohamed, Eric Van Bogaert, Ahmed Alksas, et al.. (2022). Predicting Recurrence of Non-Muscle-Invasive Bladder Cancer: Current Techniques and Future Trends. Cancers. 14(20). 5019–5019. 9 indexed citations
17.
Shehata, Mohamed, Ahmed Alksas, Ali Mahmoud, et al.. (2022). A New Framework for Precise Identification of Prostatic Adenocarcinoma. Sensors. 22(5). 1848–1848. 12 indexed citations
18.
Alksas, Ahmed, Mohamed Shehata, Gehad A. Saleh, et al.. (2021). A novel computer-aided diagnostic system for accurate detection and grading of liver tumors. Scientific Reports. 11(1). 13148–13148. 38 indexed citations
19.
Shehata, Mohamed, Ahmed Alksas, Ahmed Elmahdy, et al.. (2021). A Comprehensive Computer-Assisted Diagnosis System for Early Assessment of Renal Cancer Tumors. Sensors. 21(14). 4928–4928. 24 indexed citations
20.
Shehata, Mohamed, Ahmed Alksas, Ahmed Elmahdy, et al.. (2021). A New Computer-Aided Diagnostic (Cad) System For Precise Identification Of Renal Tumors. 1378–1381. 4 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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