Shaker El–Sappagh

9.0k citations
146 papers · 5.3k · 5 hit papers · h-index 39

Impact in

Papers in

Co-authors
Farman Ali (32 shared papers)Kyung Sup Kwak (26 shared papers)Tamer Abuhmed (41 shared papers)S. M. Riazul Islam (10 shared papers)José M. Alonso (6 shared papers)Amjad Ali (10 shared papers)Daehan Kwak (5 shared papers)Mohammed Elmogy (36 shared papers)
Journals
IEEE Access (16 papers)Electronics (7 papers)Computers, materials & continua/Computers, materials & continua (Print) (7 papers)Scientific Reports (4 papers)Applied Sciences (4 papers)
Partner nations
EgyptSouth KoreaSaudi Arabia

In The Last Decade

Shaker El–Sappagh

141 papers receiving 5.1k citations

Shaker El–Sappagh's Hit Papers

An advanced deep learning models-based plant disease detection: A review of recent research 2023 · 191 citations
1910+2+4Years since publication200400600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

  • it has ≥500 total citations;
  • it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
  • it reaches the top citation threshold in at least one of its specific research topics.
  1. 2023 Frontiers in Plant Science
  2. 2023 Information Fusion
  3. 2021 Scientific Reports
  4. 2020 Future Generation Computer Systems
  5. 2020 Information Fusion

Peers

Shaker El–Sappagh
Comparison fields: 5 of 197
  • Health Informatics 403
  • Health Information Management 1.0k
  • Artificial Intelligence 2.3k
  • Neurology 374
  • Radiology, Nuclear Medicine and Imaging 815
Replace Mufti Mahmud with:
Mufti Mahmud United Kingdom
Moloud Abdar Australia
S. M. Riazul Islam South Korea
Sami Azam Australia
Farman Ali South Korea
Ashish Khanna India
A. S. Albahri Iraq
Deepak Gupta India
Jianping Li China
Mazin Abed Mohammed Iraq
Shaker El–Sappagh relative to Mufti Mahmud United Kingdom Mufti Mahmud's profile →
Citations per field
00.5×2×2.8×
Mufti Mahmud · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Shaker El–Sappagh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shaker El–Sappagh Line = papers co-authored together Shaker El–Sappagh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 146 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
Information Fusion ·Sajid Ali, Tamer Abuhmed, Shaker El–Sappagh, Khan Muhammad, José M. Alonso, Roberto Confalonieri, Riccardo Guidotti, Javier Del Ser, Natalia Díaz-Rodríguez, Francisco Herrera
Hit paper breakdown →		2023687
2
A smart healthcare monitoring system for heart disease prediction based on ensemble deep learning and feature fusion
Information Fusion ·Farman Ali, Shaker El–Sappagh, S. M. Riazul Islam, Daehan Kwak, Amjad Ali, Muhammad Imran, Kyung Sup Kwak
Hit paper breakdown →		2020526
3
An intelligent healthcare monitoring framework using wearable sensors and social networking data
Future Generation Computer Systems ·Farman Ali, Shaker El–Sappagh, S. M. Riazul Islam, Amjad Ali, Muhammad Attique, Muhammad Imran, Kyung Sup Kwak
Hit paper breakdown →		2020241
4
A multilayer multimodal detection and prediction model based on explainable artificial intelligence for Alzheimer’s disease
Scientific Reports ·Shaker El–Sappagh, José M. Alonso, S. M. Riazul Islam, Ahmed Sultan, Kyung Sup Kwak
Hit paper breakdown →		2021210
5
An advanced deep learning models-based plant disease detection: A review of recent research
Frontiers in Plant Science ·Muhammad Shoaib, Babar Shah, Shaker El–Sappagh, Akhtar Ali, Asad Ullah, Fayadh Alenezi, Tsanko Gechev, Tariq Hussain, Farman Ali
Hit paper breakdown →		2023191
6
Multimodal multitask deep learning model for Alzheimer’s disease progression detection based on time series data
Neurocomputing ·Shaker El–Sappagh, Tamer Abuhmed, S. M. Riazul Islam, Kyung Sup Kwak
2020163
7
Transportation sentiment analysis using word embedding and ontology-based topic modeling
Knowledge-Based Systems ·Farman Ali, Daehan Kwak, Pervez Khan, Shaker El–Sappagh, Amjad Ali, Sana Ullah, Kye Hyun Kim, Kyung Sup Kwak
2019138
8
Mobile Health in Remote Patient Monitoring for Chronic Diseases: Principles, Trends, and Challenges
Diagnostics ·Nora El-Rashidy, Shaker El–Sappagh, S. M. Riazul Islam, Hazem M. El‐Bakry, Samir Abdelrazek
2021126
9
Medical Diagnostic Systems Using Artificial Intelligence (AI) Algorithms: Principles and Perspectives
IEEE Access ·Simarjeet Kaur, Jimmy Singla, Lewis Nkenyereye, Sudan Jha, Deepak Prashar, Gyanendra Prasad Joshi, Shaker El–Sappagh, Md. Saiful Islam, S. M. Riazul Islam
2020125
10
Advancing Modern Healthcare With Nanotechnology, Nanobiosensors, and Internet of Nano Things: Taxonomies, Applications, Architecture, and Challenges
IEEE Access ·Pijush Kanti Dutta Pramanik, Arun Solanki, Abhinaba Debnath, Anand Nayyar, Shaker El–Sappagh, Kyung Sup Kwak
202095
11
A proposed model for data warehouse ETL processes
Journal of King Saud University - Computer and Information Sciences ·Shaker El–Sappagh, Abdeltawab Hendawi, Ali Hamed El Bastawissy
201186
12
Robust hybrid deep learning models for Alzheimer’s progression detection
Knowledge-Based Systems ·Tamer Abuhmed, Shaker El–Sappagh, José M. Alonso
202085
13
A fuzzy-ontology-oriented case-based reasoning framework for semantic diabetes diagnosis
Artificial Intelligence in Medicine ·Shaker El–Sappagh, Mohammed Elmogy, A. M. Rıad
201576
14
Bayesian-based optimized deep learning model to detect COVID-19 patients using chest X-ray image data
Computers in Biology and Medicine ·Mohamed Loey, Shaker El–Sappagh, Seyedali Mirjalili
202275
15
Intensive Care Unit Mortality Prediction: An Improved Patient-Specific Stacking Ensemble Model
IEEE Access ·Nora El-Rashidy, Shaker El–Sappagh, Tamer Abuhmed, Samir Abdelrazek, Hazem M. El‐Bakry
202071
16
Automatic Diabetic Retinopathy Grading System Based on Detecting Multiple Retinal Lesions
IEEE Access ·Eman AbdelMaksoud, Shaker El–Sappagh, Sherif Barakat, Tamer Abuhmed, Mohammed Elmogy
202169
17
Fuzzy Ontology and LSTM-Based Text Mining: A Transportation Network Monitoring System for Assisting Travel
Sensors ·Farman Ali, Shaker El–Sappagh, Daehan Kwak
201969
18
End-To-End Deep Learning Framework for Coronavirus (COVID-19) Detection and Monitoring
Electronics ·Nora El-Rashidy, Shaker El–Sappagh, S. M. Riazul Islam, Hazem M. El‐Bakry, Samir Abdelrazek
202066
19
SNOMED CT standard ontology based on the ontology for general medical science
BMC Medical Informatics and Decision Making ·Shaker El–Sappagh, Francesco Franda, Farman Ali, Kyung Sup Kwak
201865
20
Prediction of Alzheimer's progression based on multimodal Deep-Learning-based fusion and visual Explainability of time-series data
Information Fusion ·Nasir Rahim, Shaker El–Sappagh, Sajid Ali, Khan Muhammad, Javier Del Ser, Tamer Abuhmed
202263

About Shaker El–Sappagh

Shaker El–Sappagh is a scholar working on Artificial Intelligence, Health Information Management, Molecular Biology, Information Systems and Computer Networks and Communications, having authored 146 papers that have together received 5.3k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (35 papers), Machine Learning in Healthcare (29 papers), Biomedical Text Mining and Ontologies (24 papers), Semantic Web and Ontologies (23 papers), COVID-19 diagnosis using AI (13 papers), AI in cancer detection (12 papers), Brain Tumor Detection and Classification (11 papers) and Dementia and Cognitive Impairment Research (9 papers). The work is most often cited by research in Health Informatics (403 citations), Health Information Management (1.0k citations), Artificial Intelligence (2.3k citations), Neurology (374 citations) and Radiology, Nuclear Medicine and Imaging (815 citations). Shaker El–Sappagh has collaborated with scholars based in Egypt, South Korea and Saudi Arabia. Frequent 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. Their work appears in journals such as IEEE Access, Electronics, Computers, materials & continua/Computers, materials & continua (Print), Scientific Reports and Applied Sciences.

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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