Abdulkader Helwan

590 total citations
22 papers, 330 citations indexed

About

Abdulkader Helwan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Abdulkader Helwan has authored 22 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Abdulkader Helwan's work include AI in cancer detection (3 papers), Brain Tumor Detection and Classification (3 papers) and Spectroscopy and Chemometric Analyses (3 papers). Abdulkader Helwan is often cited by papers focused on AI in cancer detection (3 papers), Brain Tumor Detection and Classification (3 papers) and Spectroscopy and Chemometric Analyses (3 papers). Abdulkader Helwan collaborates with scholars based in Cyprus, Lebanon and Jordan. Abdulkader Helwan's co-authors include Dilber Uzun Ozsahin, Rahib H. Abiyev, John Bush Idoko, Mohammad Khaleel Sallam Ma’aitah, Georges El‐Fakhri, Ebenezer O. Olaniyi, Adnan Khashman, Oyebade K. Oyedotun, Danielle Azar and Musa Sani Musa and has published in prestigious journals such as Physiological Measurement, Journal of Intelligent & Fuzzy Systems and Journal of Personalized Medicine.

In The Last Decade

Abdulkader Helwan

21 papers receiving 314 citations

Peers

Abdulkader Helwan

RNMI

CVPR

NEURO

Chandradeep Bhatt India

Ahmed Izzat Alsalibi Jordan

Adnan N. Qureshi Pakistan

Hamidreza Sadeghsalehi Iran

Hasan Oğul Türkiye

Erdal Başaran Türkiye

Oumaima Terrada Morocco

Mostafa Salem Egypt

Deevyankar Agarwal Spain

Ahmed Abdullah Alqarni Saudi Arabia

Chandradeep Bhatt India

Abdulkader Helwan

90 ×0.7

68 ×0.7

RNMI

50 ×0.9

CVPR

32 ×0.7

NEURO

23 ×0.6

Citations per year, relative to Abdulkader Helwan Abdulkader Helwan (= 1×) peers Chandradeep Bhatt

Countries citing papers authored by Abdulkader Helwan

Since Specialization

Citations

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

Fields of papers citing papers by Abdulkader Helwan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abdulkader Helwan

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

All Works

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20 of 20 papers shown

Helwan, Abdulkader, et al.. (2025). Urinary Bladder Acute Inflammations and Nephritis of the Renal Pelvis: Diagnosis Using Fine-Tuned Large Language Models. Journal of Personalized Medicine. 15(2). 45–45. 2 indexed citations

Helwan, Abdulkader, et al.. (2025). Multimodal model for knee osteoarthritis KL grading from plain radiograph. Journal of X-Ray Science and Technology. 33(3). 608–620.

Abiyev, Rahib H., et al.. (2024). A Multimodal Transformer Model for Recognition of Images from Complex Laparoscopic Surgical Videos. Diagnostics. 14(7). 681–681. 2 indexed citations

Ma’aitah, Mohammad Khaleel Sallam & Abdulkader Helwan. (2024). 3D DenseNet with temporal transition layer for heart rate estimation from real-life RGB videos. Technology and Health Care. 33(1). 419–430. 2 indexed citations

Helwan, Abdulkader, Danielle Azar, & Mohammad Khaleel Sallam Ma’aitah. (2023). Conventional and deep learning methods in heart rate estimation from RGB face videos. Physiological Measurement. 45(2). 02TR01–02TR01. 8 indexed citations

Helwan, Abdulkader, Danielle Azar, & Dilber Uzun Ozsahin. (2023). Medical Reports Summarization Using Text-To-Text Transformer. 1–4. 7 indexed citations

Helwan, Abdulkader, Danielle Azar, & Hamdan Abdellatef. (2022). An update on the knee osteoarthritis severity grading using wide residual learning. Journal of X-Ray Science and Technology. 30(5). 1009–1021. 7 indexed citations

Helwan, Abdulkader, et al.. (2021). Radiologists versus Deep Convolutional Neural Networks: A Comparative Study for Diagnosing COVID-19. Computational and Mathematical Methods in Medicine. 2021. 1–9. 16 indexed citations

Helwan, Abdulkader, et al.. (2021). Deep Learning Based on Residual Networks for Automatic Sorting of Bananas. Journal of Food Quality. 2021. 1–11. 17 indexed citations

10.

Helwan, Abdulkader, et al.. (2021). An online survey and review about the awareness, coping style, and exercise behavior during the “COVID-19 pandemic situation” by implementing the cloud-based medical treatment technology system in China among the public. Science Progress. 104(2). 311971385–311971385. 9 indexed citations

11.

Helwan, Abdulkader, et al.. (2018). Deep networks in identifying CT brain hemorrhage. Journal of Intelligent & Fuzzy Systems. 35(2). 2215–2228. 38 indexed citations

12.

Abiyev, Rahib H. & Abdulkader Helwan. (2018). Fuzzy Neural Networks for Identification of Breast Cancer Using Images' Shape and Texture Features. Journal of Medical Imaging and Health Informatics. 8(4). 817–825. 12 indexed citations

13.

Ozsahin, Dilber Uzun, et al.. (2017). Evaluating Cancer Treatment Alternatives using Fuzzy PROMETHEE Method. International Journal of Advanced Computer Science and Applications. 8(10). 30 indexed citations

14.

Helwan, Abdulkader, et al.. (2017). Breast cancer image classification using artificial neural networks. Procedia Computer Science. 120. 126–131. 64 indexed citations

15.

Helwan, Abdulkader, Dilber Uzun Ozsahin, Rahib H. Abiyev, & John Bush Idoko. (2017). One-Year Survival Prediction of Myocardial Infarction. International Journal of Advanced Computer Science and Applications. 8(6). 9 indexed citations

16.

Helwan, Abdulkader, John Bush Idoko, & Rahib H. Abiyev. (2017). Machine learning techniques for classification of breast tissue. Procedia Computer Science. 120. 402–410. 33 indexed citations

17.

Helwan, Abdulkader & Dilber Uzun Ozsahin. (2017). Sliding Window Based Machine Learning System for the Left Ventricle Localization in MR Cardiac Images. Applied Computational Intelligence and Soft Computing. 2017. 1–9. 24 indexed citations

18.

Helwan, Abdulkader. (2016). Heart Attack Prediction System Based Neural Arbitration. DergiPark (Istanbul University). 1 indexed citations

19.

Helwan, Abdulkader, et al.. (2016). IKRAI: Intelligent Knee Rheumatoid Arthritis Identification. International Journal of Intelligent Systems and Applications. 8(1). 18–24. 11 indexed citations

20.

Olaniyi, Ebenezer O., Oyebade K. Oyedotun, Abdulkader Helwan, & Adnan Khashman. (2015). Neural network diagnosis of heart disease. 21–24. 22 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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