Shaker El–Sappagh

9.0k total citations · 5 hit papers
146 papers, 5.3k citations indexed

About

Shaker El–Sappagh is a scholar working on Artificial Intelligence, Health Information Management and Molecular Biology. According to data from OpenAlex, Shaker El–Sappagh has authored 146 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Artificial Intelligence, 36 papers in Health Information Management and 26 papers in Molecular Biology. Recurrent topics in Shaker El–Sappagh's work include Artificial Intelligence in Healthcare (35 papers), Machine Learning in Healthcare (29 papers) and Biomedical Text Mining and Ontologies (24 papers). Shaker El–Sappagh is often cited by papers focused on Artificial Intelligence in Healthcare (35 papers), Machine Learning in Healthcare (29 papers) and Biomedical Text Mining and Ontologies (24 papers). Shaker El–Sappagh collaborates with scholars based in Egypt, South Korea and Saudi Arabia. Shaker El–Sappagh's co-authors include Farman Ali, Kyung Sup Kwak, Tamer Abuhmed, S. M. Riazul Islam, José M. Alonso, Amjad Ali, Daehan Kwak, Mohammed Elmogy, Muhammad Imran and Nora El-Rashidy and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Shaker El–Sappagh

141 papers receiving 5.1k citations

Hit Papers

Explainable Artificial Intelligence (XAI): ... 2020 2026 2022 2024 2023 2020 2020 2021 2023 200 400 600
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. Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
    2023 687 citations Sajid Ali, Tamer Abuhmed et al. Information Fusion profile →
  2. A smart healthcare monitoring system for heart disease prediction based on ensemble deep learning and feature fusion
    2020 526 citations Farman Ali, Shaker El–Sappagh et al. Information Fusion profile →
  3. An intelligent healthcare monitoring framework using wearable sensors and social networking data
    2020 241 citations Farman Ali, Shaker El–Sappagh et al. profile →
  4. A multilayer multimodal detection and prediction model based on explainable artificial intelligence for Alzheimer’s disease
    2021 210 citations Shaker El–Sappagh, José M. Alonso et al. profile →
  5. An advanced deep learning models-based plant disease detection: A review of recent research
    2023 191 citations Shaker El–Sappagh, Farman Ali et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaker El–Sappagh Egypt 39 2.3k 1.0k 815 577 562 146 5.3k
Mufti Mahmud United Kingdom 38 1.8k 0.8× 375 0.4× 671 0.8× 435 0.8× 650 1.2× 222 5.6k
Farman Ali South Korea 36 1.4k 0.6× 684 0.7× 444 0.5× 618 1.1× 673 1.2× 150 4.3k
Moloud Abdar Australia 36 3.0k 1.3× 910 0.9× 804 1.0× 355 0.6× 178 0.3× 85 6.0k
Jianping Li China 35 1.9k 0.8× 939 0.9× 690 0.8× 853 1.5× 580 1.0× 366 5.2k
Muhammad Adnan Khan Pakistan 50 2.3k 1.0× 602 0.6× 955 1.2× 1.3k 2.3× 1.3k 2.3× 280 7.3k
Simon Fong Macao 39 2.8k 1.2× 321 0.3× 755 0.9× 934 1.6× 917 1.6× 428 7.1k
Imran Ashraf South Korea 41 1.9k 0.8× 332 0.3× 479 0.6× 751 1.3× 993 1.8× 377 6.1k
S. M. Riazul Islam South Korea 34 1.3k 0.5× 708 0.7× 505 0.6× 1.0k 1.8× 2.2k 3.9× 112 6.3k
Sami Azam Australia 31 1.5k 0.6× 487 0.5× 721 0.9× 710 1.2× 591 1.1× 158 3.6k
Prayag Tiwari China 41 2.8k 1.2× 220 0.2× 1.3k 1.6× 856 1.5× 919 1.6× 223 7.0k

Countries citing papers authored by Shaker El–Sappagh

Since Specialization
Citations

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

Fields of papers citing papers by Shaker El–Sappagh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shaker El–Sappagh. 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 Shaker El–Sappagh. The network helps show where Shaker El–Sappagh may publish in the future.

Co-authorship network of co-authors of Shaker El–Sappagh

This figure shows the co-authorship network connecting the top 25 collaborators of Shaker El–Sappagh. A scholar is included among the top collaborators of Shaker El–Sappagh 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 Shaker El–Sappagh. Shaker El–Sappagh 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.
El–Sappagh, Shaker, et al.. (2025). Responsible Artificial Intelligence for Mental Health Disorders: Current Applications and Future Challenges. SHILAP Revista de lepidopterología. 4(1). 3 indexed citations
2.
Amer, Eslam, Bander Ali Saleh Al‐rimy, & Shaker El–Sappagh. (2025). Strengthening ICS defense: Modbus-NFA behavior model for enhanced anomaly detection. Journal of Information Security and Applications. 89. 103990–103990. 4 indexed citations
3.
Saleh, Hager, et al.. (2025). Toward sustainable wastewater treatment: Transformer ensembles and multitask learning for energy consumption and quality management. Engineering Applications of Artificial Intelligence. 162. 112338–112338. 1 indexed citations
4.
Abuhmed, Tamer, et al.. (2024). Explainable Multi-Layer Dynamic Ensemble Framework Optimized for Depression Detection and Severity Assessment. Diagnostics. 14(21). 2385–2385. 3 indexed citations
5.
El-Gayar, M. M., et al.. (2024). Smart Collaborative Intrusion Detection System for Securing Vehicular Networks Using Ensemble Machine Learning Model. Information. 15(10). 583–583. 10 indexed citations
6.
Elaziz, Mohamed Abd, Abdelghani Dahou, Alhassan Mabrouk, Shaker El–Sappagh, & Ahmad O. Aseeri. (2023). An Efficient Artificial Rabbits Optimization Based on Mutation Strategy For Skin Cancer Prediction. Computers in Biology and Medicine. 163. 107154–107154. 39 indexed citations
7.
Saleh, Hager, et al.. (2023). Diagnosis of COVID-19 Using Chest X-ray Images and Disease Symptoms Based on Stacking Ensemble Deep Learning. Diagnostics. 13(11). 1968–1968. 13 indexed citations
8.
Ullah, Naeem, Javed Ali Khan, Shaker El–Sappagh, Nora El-Rashidy, & Muhammad Sohail Khan. (2023). A Holistic Approach to Identify and Classify COVID-19 from Chest Radiographs, ECG, and CT-Scan Images Using ShuffleNet Convolutional Neural Network. Diagnostics. 13(1). 162–162. 44 indexed citations
9.
Mostafa, Reham R., et al.. (2023). Predicting CTS Diagnosis and Prognosis Based on Machine Learning Techniques. Diagnostics. 13(3). 492–492. 6 indexed citations
10.
El–Sappagh, Shaker, José M. Alonso, Tamer Abuhmed, Farman Ali, & Alberto Bugarín. (2023). Trustworthy artificial intelligence in Alzheimer’s disease: state of the art, opportunities, and challenges. Artificial Intelligence Review. 56(10). 11149–11296. 23 indexed citations
11.
Gabralla, Lubna A., et al.. (2023). Automated Diagnosis for Colon Cancer Diseases Using Stacking Transformer Models and Explainable Artificial Intelligence. Diagnostics. 13(18). 2939–2939. 19 indexed citations
12.
Ali, Sajid, Tamer Abuhmed, Shaker El–Sappagh, et al.. (2023). Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence. Information Fusion. 99. 101805–101805. 687 indexed citations breakdown →
13.
El–Sappagh, Shaker, et al.. (2023). Enhanced aerial vehicle system techniques for detection and tracking in fog, sandstorm, and snow conditions. The Journal of Supercomputing. 79(14). 15868–15893. 4 indexed citations
14.
Alsekait, Deema Mohammed, Hager Saleh, Lubna A. Gabralla, et al.. (2023). Toward Comprehensive Chronic Kidney Disease Prediction Based on Ensemble Deep Learning Models. Applied Sciences. 13(6). 3937–3937. 29 indexed citations
15.
Loey, Mohamed, Shaker El–Sappagh, & Seyedali Mirjalili. (2022). Bayesian-based optimized deep learning model to detect COVID-19 patients using chest X-ray image data. Computers in Biology and Medicine. 142. 105213–105213. 75 indexed citations
16.
AbdelMaksoud, Eman, Shaker El–Sappagh, Sherif Barakat, Tamer Abuhmed, & Mohammed Elmogy. (2021). Automatic Diabetic Retinopathy Grading System Based on Detecting Multiple Retinal Lesions. IEEE Access. 9. 15939–15960. 69 indexed citations
17.
Singla, Jimmy, Lewis Nkenyereye, Sudan Jha, et al.. (2020). Medical Diagnostic Systems Using Artificial Intelligence (AI) Algorithms: Principles and Perspectives. IEEE Access. 8. 228049–228069. 125 indexed citations
18.
Pramanik, Pijush Kanti Dutta, et al.. (2020). Advancing Modern Healthcare With Nanotechnology, Nanobiosensors, and Internet of Nano Things: Taxonomies, Applications, Architecture, and Challenges. IEEE Access. 8. 65230–65266. 95 indexed citations
19.
Abuhmed, Tamer, Shaker El–Sappagh, & José M. Alonso. (2020). Robust hybrid deep learning models for Alzheimer’s progression detection. Knowledge-Based Systems. 213. 106688–106688. 85 indexed citations
20.
Hendawi, Abdeltawab, et al.. (2020). Road network simplification for location-based services. GeoInformatica. 24(4). 801–826. 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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