Ahmad Chaddad

3.6k total citations · 2 hit papers
111 papers, 2.4k citations indexed

About

Ahmad Chaddad is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ahmad Chaddad has authored 111 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Radiology, Nuclear Medicine and Imaging, 42 papers in Artificial Intelligence and 19 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ahmad Chaddad's work include Radiomics and Machine Learning in Medical Imaging (52 papers), AI in cancer detection (23 papers) and Brain Tumor Detection and Classification (17 papers). Ahmad Chaddad is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (52 papers), AI in cancer detection (23 papers) and Brain Tumor Detection and Classification (17 papers). Ahmad Chaddad collaborates with scholars based in Canada, China and France. Ahmad Chaddad's co-authors include Christian Desrosiers, Tamim Niazi, Camel Tanougast, Ahmed Bouridane, Bassam Abdulkarim, Matthew Toews, Paul Daniel, Lama Hassan, Jian Xu and Siham Sabri and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Ahmad Chaddad

99 papers receiving 2.3k citations

Hit Papers

Survey of Explainable AI Techniques in Healthcare 2023 2026 2024 2025 2023 2023 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Survey of Explainable AI Techniques in Healthcare
    2023 269 citations Ahmad Chaddad, Ahmed Bouridane et al. Sensors profile →
  2. Electroencephalography Signal Processing: A Comprehensive Review and Analysis of Methods and Techniques
    2023 94 citations Ahmad Chaddad, Reem Kateb et al. Sensors profile →

Peers

Ahmad Chaddad
Evangelia I. Zacharaki Greece
Ken Chang United States
Christian Desrosiers Canada
Zhongxiang Ding China
Saima Rathore United States
Ashirbani Saha Canada
Jens Kleesiek Germany
Michel Bilello United States
Arkadiusz Gertych United States
Hamed Akbari United States
Evangelia I. Zacharaki Greece
Ahmad Chaddad
Citations per year, relative to Ahmad Chaddad Ahmad Chaddad (= 1×) peers Evangelia I. Zacharaki

Countries citing papers authored by Ahmad Chaddad

Since Specialization
Citations

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

Fields of papers citing papers by Ahmad Chaddad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ahmad Chaddad

This figure shows the co-authorship network connecting the top 25 collaborators of Ahmad Chaddad. A scholar is included among the top collaborators of Ahmad Chaddad 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 Ahmad Chaddad. Ahmad Chaddad 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.
Chaddad, Ahmad, et al.. (2025). A Model-Based Federated Semi-Supervised Learning. 1–8.
2.
Chaddad, Ahmad, et al.. (2025). Classification-Based Deep Learning Models for Lung Cancer and Disease Using Medical Images. IEEE Transactions on Radiation and Plasma Medical Sciences. 10(3). 371–379.
3.
4.
Chaddad, Ahmad, et al.. (2025). FAA-CLIP: Federated Adversarial Adaptation of CLIP. IEEE Internet of Things Journal. 12(12). 21091–21102. 1 indexed citations
5.
Chaddad, Ahmad. (2025). Deep Radiomics for Autism Diagnosis and Age Prediction. IEEE Transactions on Human-Machine Systems. 55(2). 144–154. 2 indexed citations
6.
7.
Chaddad, Ahmad, et al.. (2024). Generalizable and explainable deep learning for medical image computing: An overview. Current Opinion in Biomedical Engineering. 33. 100567–100567. 9 indexed citations
8.
Chaddad, Ahmad, et al.. (2023). Electroencephalography Signal Processing: A Comprehensive Review and Analysis of Methods and Techniques. Sensors. 23(14). 6434–6434. 94 indexed citations breakdown →
9.
10.
Chaddad, Ahmad, et al.. (2023). OpenAI ChatGPT: A Potential Medical Application. 210–215. 4 indexed citations
11.
Chaddad, Ahmad. (2023). A Comprehensive Analysis of Lung Sound Signals. 196–197.
12.
Chaddad, Ahmad, Michael Jonathan Kucharczyk, Abbas Cheddad, et al.. (2021). Magnetic Resonance Imaging Based Radiomic Models of Prostate Cancer: A Narrative Review. Cancers. 13(3). 552–552. 26 indexed citations
13.
Schick, Ulrike, Jean‐Baptiste Beauval, Ahmad Chaddad, et al.. (2021). Post-Operative Radiotherapy in Prostate Cancer: Is It Time for a Belt and Braces Approach?. Frontiers in Oncology. 11. 781040–781040. 3 indexed citations
14.
Chaddad, Ahmad, Paul Daniel, Siham Sabri, Christian Desrosiers, & Bassam Abdulkarim. (2019). Integration of Radiomic and Multi-omic Analyses Predicts Survival of Newly Diagnosed IDH1 Wild-Type Glioblastoma. Cancers. 11(8). 1148–1148. 48 indexed citations
15.
Chaddad, Ahmad, Christian Desrosiers, Lama Hassan, & Camel Tanougast. (2017). Hippocampus and amygdala radiomic biomarkers for the study of autism spectrum disorder. BMC Neuroscience. 18(1). 52–52. 80 indexed citations
16.
Chaddad, Ahmad, Christian Desrosiers, & Matthew Toews. (2017). Multi-scale radiomic analysis of sub-cortical regions in MRI related to autism, gender and age. Scientific Reports. 7(1). 45639–45639. 50 indexed citations
17.
Chaddad, Ahmad & Camel Tanougast. (2016). Quantitative evaluation of robust skull stripping and tumor detection applied to axial MR images. Brain Informatics. 3(1). 53–61. 50 indexed citations
18.
Chaddad, Ahmad, Christian Desrosiers, Ahmed Bouridane, et al.. (2016). Multi Texture Analysis of Colorectal Cancer Continuum Using Multispectral Imagery. PLoS ONE. 11(2). e0149893–e0149893. 39 indexed citations
19.
Chaddad, Ahmad, Camel Tanougast, Abbas Dandache, & Ahmed Bouridane. (2011). Extracted haralick's texture features and morphological parameters from segmented multispectrale texture bio-images for classification of colon cancer cells. Northumbria Research Link (Northumbria University). 17 indexed citations
20.
Chaddad, Ahmad, et al.. (2011). Classification of cancer cells based on morphological features from segmented multispectral bio-images. 92–97. 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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