Shaker El–Sappagh

9.5k citations
145 papers · 5.7k · 5 hit papers · h-index 40

Impact in

Papers in

Co-authors
Farman Ali (31 shared papers)Tamer Abuhmed (40 shared papers)S. M. Riazul Islam (10 shared papers)José M. Alonso (6 shared papers)Kyung Sup Kwak (15 shared papers)Amjad Ali (10 shared papers)Daehan Kwak (5 shared papers)Muhammad Imran (3 shared papers)
Journals
IEEE Access (15 papers)Electronics (7 papers)Computers, materials & continua/Computers, materials & continua (Print) (6 papers)Scientific Reports (4 papers)Applied Sciences (4 papers)
Partner nations
EgyptSouth KoreaSaudi Arabia

In The Last Decade

Shaker El–Sappagh

142 papers receiving 5.5k citations

Shaker El–Sappagh's Hit Papers

An advanced deep learning models-based plant disease detection: A review of recent research 2023 · 220 citations
2200+2+4Years since publication250500750
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 196
  • Health Informatics 388
  • Health Information Management 963
  • Artificial Intelligence 2.3k
  • Neurology 359
  • Radiology, Nuclear Medicine and Imaging 722
Replace Mufti Mahmud with:
Mufti Mahmud United Kingdom
Xiaoqian Jiang United States
S. M. Riazul Islam South Korea
Moloud Abdar Australia
Sami Azam Australia
Farman Ali South Korea
A. S. Albahri Iraq
Ashish Khanna India
Deepak Gupta India
Mazin Abed Mohammed Iraq
Shaker El–Sappagh relative to Mufti Mahmud United Kingdom Mufti Mahmud's profile →
Citations per field
00.5×2×2.7×
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 145 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 →		2023789
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, (unknown)
Hit paper breakdown →		2020541
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, (unknown)
Hit paper breakdown →		2020244
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 →		2021224
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 →		2023220
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
2020167
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, (unknown)
2019141
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
2021137
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
2020132
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
2020100
11
Robust hybrid deep learning models for Alzheimer’s progression detection
Knowledge-Based Systems ·Tamer Abuhmed, Shaker El–Sappagh, José M. Alonso
202093
12
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
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
201580
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
202278
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
202074
16
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, (unknown), Javier Del Ser, Tamer Abuhmed
202272
17
Fuzzy Ontology and LSTM-Based Text Mining: A Transportation Network Monitoring System for Assisting Travel
Sensors ·Farman Ali, Shaker El–Sappagh, Daehan Kwak
201970
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
202069
19
Two-stage deep learning model for Alzheimer’s disease detection and prediction of the mild cognitive impairment time
Neural Computing and Applications ·Shaker El–Sappagh, Hager Saleh, Farman Ali, Eslam Amer, Tamer Abuhmed
202268
20
Automatic detection of Alzheimer’s disease progression: An efficient information fusion approach with heterogeneous ensemble classifiers
Neurocomputing ·Shaker El–Sappagh, Farman Ali, Tamer Abuhmed, Jaiteg Singh, José M. Alonso
202267

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 145 papers that have together received 5.7k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (34 papers), Machine Learning in Healthcare (28 papers), Biomedical Text Mining and Ontologies (22 papers), Semantic Web and Ontologies (20 papers), COVID-19 diagnosis using AI (13 papers), AI in cancer detection (12 papers), Brain Tumor Detection and Classification (10 papers) and Dementia and Cognitive Impairment Research (9 papers). The work is most often cited by research in Health Informatics (388 citations), Health Information Management (963 citations), Artificial Intelligence (2.3k citations), Neurology (359 citations) and Radiology, Nuclear Medicine and Imaging (722 citations). Shaker El–Sappagh has collaborated with scholars based in Egypt, South Korea and Saudi Arabia. Frequent co-authors include Farman Ali, Tamer Abuhmed, S. M. Riazul Islam, José M. Alonso, Kyung Sup Kwak, Amjad Ali, Daehan Kwak, Muhammad Imran, Mohammed Elmogy 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Mufti MahmudBreakdown of academic impact, for papers by Xiaoqian JiangBreakdown of academic impact, for papers by S. M. Riazul IslamBreakdown of academic impact, for papers by Moloud AbdarBreakdown of academic impact, for papers by Sami AzamBreakdown of academic impact, for papers by Farman AliBreakdown of academic impact, for papers by A. S. AlbahriBreakdown of academic impact, for papers by Ashish KhannaBreakdown of academic impact, for papers by Deepak GuptaBreakdown of academic impact, for papers by Mazin Abed Mohammed