Mohanad A. Deif

621 total citations
35 papers, 315 citations indexed

About

Mohanad A. Deif is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Physiology. According to data from OpenAlex, Mohanad A. Deif has authored 35 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 9 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Physiology. Recurrent topics in Mohanad A. Deif's work include COVID-19 diagnosis using AI (6 papers), Topic Modeling (4 papers) and Natural Language Processing Techniques (3 papers). Mohanad A. Deif is often cited by papers focused on COVID-19 diagnosis using AI (6 papers), Topic Modeling (4 papers) and Natural Language Processing Techniques (3 papers). Mohanad A. Deif collaborates with scholars based in Egypt, Jordan and Türkiye. Mohanad A. Deif's co-authors include Ahmed Solyman, Hani Attar, Mohammed H. Alsharif, Ayman Amer, Peerapong Uthansakul, Mohammad R. Khosravi, Nadiah A. Baghdadi, Amer Malki, Ismail A. Elhaty and Seungwon Jung and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Mohanad A. Deif

28 papers receiving 307 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohanad A. Deif Egypt 12 108 78 45 37 34 35 315
Kyungsu Lee South Korea 9 57 0.5× 50 0.6× 79 1.8× 41 1.1× 30 0.9× 25 307
Ming Kong China 10 59 0.5× 38 0.5× 46 1.0× 72 1.9× 22 0.6× 35 426
Yingjie Zhao China 9 83 0.8× 81 1.0× 49 1.1× 84 2.3× 49 1.4× 29 430
Yaosheng Lu China 13 76 0.7× 18 0.2× 24 0.5× 88 2.4× 24 0.7× 47 486
Samer Albahra United States 10 111 1.0× 79 1.0× 8 0.2× 42 1.1× 18 0.5× 15 329
Yongdong Chen China 10 105 1.0× 82 1.1× 17 0.4× 59 1.6× 37 1.1× 22 308
Shuang Liang China 9 87 0.8× 75 1.0× 40 0.9× 25 0.7× 50 1.5× 19 354
Ravinder Kaur India 9 90 0.8× 87 1.1× 20 0.4× 62 1.7× 66 1.9× 20 364
Jared O’Leary United States 13 31 0.3× 29 0.4× 50 1.1× 31 0.8× 13 0.4× 31 557

Countries citing papers authored by Mohanad A. Deif

Since Specialization
Citations

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

Fields of papers citing papers by Mohanad A. Deif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohanad A. Deif. 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 Mohanad A. Deif. The network helps show where Mohanad A. Deif may publish in the future.

Co-authorship network of co-authors of Mohanad A. Deif

This figure shows the co-authorship network connecting the top 25 collaborators of Mohanad A. Deif. A scholar is included among the top collaborators of Mohanad A. Deif 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 Mohanad A. Deif. Mohanad A. Deif 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.
Deif, Mohanad A., Hani Attar, Mohammad Aljaidi, et al.. (2025). Machine learning alloying design of biodegradable zinc alloy for bone implants using XGBoost and Bayesian optimization. Intelligent Systems with Applications. 27. 200549–200549. 2 indexed citations
2.
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Attar, Hani, et al.. (2025). Enhanced nonlinear equalization for OFDM systems in IoT-based intelligent transportation using CGLS algorithms. EURASIP Journal on Wireless Communications and Networking. 2025(1). 1 indexed citations
4.
Abdel-Aziz, M., et al.. (2025). A Benchmark Arabic Dataset for Arabic Question Classification using AAFAQ Framework. Scientific Data. 12(1). 1444–1444. 1 indexed citations
5.
Alrosan, Ayat, et al.. (2024). Parkinson's Disease Detection Based on Vocal Biomarkers and Machine Learning Approach. 475–480. 1 indexed citations
6.
Deif, Mohanad A., et al.. (2024). Brain Tumor Detection Using GLCM and Machine learning Techniques. 1(2). 0–0. 2 indexed citations
7.
Deif, Mohanad A., Hani Attar, Ayat Alrosan, Ahmed Solyman, & Sally Mohammed Farghaly Abdelaliem. (2024). Design and development of an intelligent neck and head support system based on eye blink recognition for cervical dystonia. SHILAP Revista de lepidopterología. 6(11).
8.
Deif, Mohanad A., et al.. (2024). Decoding Queries: An In-Depth Survey of Quality Techniques for Question Analysis in Arabic Question Answering Systems. IEEE Access. 12. 135241–135264. 4 indexed citations
9.
Deif, Mohanad A., et al.. (2023). Evaluating The Mixing Performance in A Planar Passive Micromixer With T-shape and SAR Mixing Chambers: Comparative Study. ResearchOnline (Glasgow Caledonian University). 1–13. 1 indexed citations
10.
Attar, Hani, et al.. (2023). Evaluation of The Mixing Performance in a Planar Passive Micromixer with T Micromixer with Square Chamber Mixing Units (SAR). ResearchOnline (Glasgow Caledonian University). 1–7.
11.
Attar, Hani, et al.. (2023). Sand Cat Swarm Optimizer with CatBoost for Sarcoidosis Diagnosis. ResearchOnline (Glasgow Caledonian University). 31. 1–7.
12.
Attar, Hani, et al.. (2023). Machine Learning Model Based on Gary-Level Co-occurrence Matrix for Chest Sarcoidosis Diagnosis. ResearchOnline (Glasgow Caledonian University). 1–8. 1 indexed citations
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15.
Alsenany, Samira Ahmed, et al.. (2023). Development of a hybrid LSTM with chimp optimization algorithm for the pressure ventilator prediction. Scientific Reports. 13(1). 11 indexed citations
16.
Deif, Mohanad A., Ahmed Solyman, Mohammed H. Alsharif, & Peerapong Uthansakul. (2021). Automated Triage System for Intensive Care Admissions during the COVID-19 Pandemic Using Hybrid XGBoost-AHP Approach. Sensors. 21(19). 6379–6379. 29 indexed citations
17.
Deif, Mohanad A., et al.. (2021). A deep bidirectional recurrent neural network for identification of SARS-CoV-2 from viral genome sequences. Mathematical Biosciences & Engineering. 18(6). 8933–8950. 20 indexed citations
18.
Deif, Mohanad A., et al.. (2021). Adaptive Neuro-Fuzzy Inference System (ANFIS) for Rapid Diagnosis of COVID-19 Cases Based on Routine Blood Tests. International journal of intelligent engineering and systems. 14(2). 178–189. 13 indexed citations
19.
Deif, Mohanad A., Ahmed Solyman, Mohammed H. Alsharif, Seungwon Jung, & Eenjun Hwang. (2021). A Hybrid Multi-Objective Optimizer-Based SVM Model for Enhancing Numerical Weather Prediction: A Study for the Seoul Metropolitan Area. Sustainability. 14(1). 296–296. 24 indexed citations
20.
Deif, Mohanad A., et al.. (2020). Skin Lesions Classification Based on Deep Learning Approach. Journal of Clinical Engineering. 45(3). 155–161. 21 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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