Ahmed Elazab

2.5k total citations
92 papers, 1.7k citations indexed

About

Ahmed Elazab is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Ahmed Elazab has authored 92 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Radiology, Nuclear Medicine and Imaging, 23 papers in Computer Vision and Pattern Recognition and 19 papers in Artificial Intelligence. Recurrent topics in Ahmed Elazab's work include Urinary Bladder and Prostate Research (12 papers), AI in cancer detection (12 papers) and Pelvic floor disorders treatments (11 papers). Ahmed Elazab is often cited by papers focused on Urinary Bladder and Prostate Research (12 papers), AI in cancer detection (12 papers) and Pelvic floor disorders treatments (11 papers). Ahmed Elazab collaborates with scholars based in China, Egypt and United States. Ahmed Elazab's co-authors include Baiying Lei, Tianfu Wang, Qingmao Hu, Changmiao Wang, Jianhuang Wu, Syed Jamal Safdar Gardezi, Feng Zhou, Haijun Lei, Peng Yang and Fucang Jia and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and The Journal of Urology.

In The Last Decade

Ahmed Elazab

84 papers receiving 1.6k 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 Elazab China 22 604 593 427 392 146 92 1.7k
Zhongxiang Ding China 23 431 0.7× 1.2k 2.0× 215 0.5× 247 0.6× 335 2.3× 126 2.2k
Martin Lillholm Denmark 17 572 0.9× 479 0.8× 281 0.7× 108 0.3× 119 0.8× 49 1.4k
Bram Platel Netherlands 26 609 1.0× 1.1k 1.9× 368 0.9× 277 0.7× 112 0.8× 67 2.2k
Horst K. Hahn Germany 31 421 0.7× 1.2k 2.1× 796 1.9× 201 0.5× 169 1.2× 182 3.0k
Evangelia I. Zacharaki Greece 24 499 0.8× 1.4k 2.3× 791 1.9× 615 1.6× 200 1.4× 88 2.8k
Tal Arbel Canada 25 661 1.1× 987 1.7× 1.5k 3.4× 355 0.9× 104 0.7× 97 2.8k
María A. Zuluaga France 19 988 1.6× 705 1.2× 818 1.9× 224 0.6× 117 0.8× 76 2.4k
Chen Zu China 19 383 0.6× 643 1.1× 564 1.3× 276 0.7× 114 0.8× 57 1.5k
Ijaz Ahmad China 22 426 0.7× 206 0.3× 244 0.6× 284 0.7× 142 1.0× 75 1.5k
Fahmi Khalifa United States 26 517 0.9× 1.4k 2.3× 831 1.9× 224 0.6× 113 0.8× 153 2.5k

Countries citing papers authored by Ahmed Elazab

Since Specialization
Citations

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

Fields of papers citing papers by Ahmed Elazab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ahmed Elazab

This figure shows the co-authorship network connecting the top 25 collaborators of Ahmed Elazab. A scholar is included among the top collaborators of Ahmed Elazab 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 Elazab. Ahmed Elazab 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.
Elazab, Ahmed, et al.. (2025). Surgical tooltip localization via concentric nested square markers and depth-RGB multi-coordinate fusion. International Journal of Computer Assisted Radiology and Surgery. 20(8). 1601–1611.
2.
Elazab, Ahmed, Ruiquan Ge, Lingyan Zhang, et al.. (2025). ICH-PRNet: a cross-modal intracerebral haemorrhage prognostic prediction method using joint-attention interaction mechanism. Neural Networks. 184. 107096–107096. 7 indexed citations
3.
Wang, Changmiao, Ahmed Elazab, Gangyong Jia, et al.. (2025). CRISP-SAM2: SAM2 with Cross-Modal Interaction and Semantic Prompting for Multi-Organ Segmentation. 1298–1307. 1 indexed citations
4.
Sun, Yifei, Zhanghao Chen, Hao Zheng, et al.. (2025). BS-LDM: Effective B one S uppression in High-Resolution Chest X-Ray Images With Conditional L atent D iffusion M odels. IEEE Journal of Biomedical and Health Informatics. 30(1). 376–387.
5.
Zhou, Guanyu, Ke Zhuang, Ruiquan Ge, et al.. (2025). LPUWF-LDM: Enhanced latent diffusion model for precise late-phase UWF-FA generation on limited dataset. Expert Systems with Applications. 270. 126471–126471. 2 indexed citations
6.
Yu, Xinlei, Ruiquan Ge, Shibin Wu, et al.. (2024). ICHPro: Intracerebral Hemorrhage Prognosis Classification via Joint-Attention Fusion-Based 3D Cross-Modal Network. 1–5. 3 indexed citations
7.
Chen, Zhixiong, Ruiquan Ge, Changmiao Wang, et al.. (2024). Identification of important gene signatures in schizophrenia through feature fusion and genetic algorithm. Mammalian Genome. 35(2). 241–255. 1 indexed citations
8.
Ge, Ruiquan, et al.. (2024). TDFFM: Transformer and Deep Forest Fusion Model for Predicting Coronavirus 3C-Like Protease Cleavage Sites. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 21(5). 1231–1241.
9.
Elazab, Ahmed, Changmiao Wang, M. Abdel-Aziz, et al.. (2024). Alzheimer’s disease diagnosis from single and multimodal data using machine and deep learning models: Achievements and future directions. Expert Systems with Applications. 255. 124780–124780. 39 indexed citations
10.
Al‐Huda, Zaid, et al.. (2023). OSRE: Object-to-Spot Rotation Estimation for Bike Parking Assessment. IEEE Transactions on Intelligent Transportation Systems. 25(6). 6013–6022. 1 indexed citations
11.
Li, Yang, et al.. (2021). TA-Net: Triple attention network for medical image segmentation. Computers in Biology and Medicine. 137. 104836–104836. 42 indexed citations
12.
Huang, Zhongwei, Haijun Lei, Guoliang Chen, et al.. (2021). Parkinson’s Disease Classification and Clinical Score Regression via United Embedding and Sparse Learning From Longitudinal Data. IEEE Transactions on Neural Networks and Learning Systems. 33(8). 3357–3371. 26 indexed citations
13.
14.
Lei, Baiying, Alejandro F. Frangi, E.C. Tan, et al.. (2020). Self-calibrated brain network estimation and joint non-convex multi-task learning for identification of early Alzheimer's disease. Medical Image Analysis. 61. 101652–101652. 61 indexed citations
15.
Lei, Baiying, et al.. (2020). Breast Cancer Image Classification via Multi-Network Features and Dual-Network Orthogonal Low-Rank Learning. IEEE Access. 8. 27779–27792. 62 indexed citations
16.
Lei, Haijun, et al.. (2020). Attention-Guided Multi-Branch Convolutional Neural Network for Mitosis Detection From Histopathological Images. IEEE Journal of Biomedical and Health Informatics. 25(2). 358–370. 37 indexed citations
17.
Lei, Haijun, Zhongwei Huang, Feng Zhou, et al.. (2018). Parkinson's Disease Diagnosis via Joint Learning From Multiple Modalities and Relations. IEEE Journal of Biomedical and Health Informatics. 23(4). 1437–1449. 34 indexed citations
18.
Huang, Zhongwei, Haijun Lei, Feng Zhou, et al.. (2018). Longitudinal and multi-modal data learning for Parkinson's disease diagnosis. 1411–1414. 1 indexed citations
19.
Elazab, Ahmed, Hongmin Bai, Yousry AbdulAzeem, et al.. (2017). Post-Surgery Glioma Growth Modeling from Magnetic Resonance Images for Patients with Treatment. Scientific Reports. 7(1). 1222–1222. 13 indexed citations
20.
Elazab, Ahmed, et al.. (2007). Clinical and Epidemiological Criteria of Overactive Bladder (OAB) among Women: A Population Based Study. 1 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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