Sherif E. Hussein

789 total citations
25 papers, 501 citations indexed

About

Sherif E. Hussein is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Sherif E. Hussein has authored 25 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Biomedical Engineering. Recurrent topics in Sherif E. Hussein's work include Traffic control and management (3 papers), Traffic Prediction and Management Techniques (3 papers) and Digital Imaging for Blood Diseases (2 papers). Sherif E. Hussein is often cited by papers focused on Traffic control and management (3 papers), Traffic Prediction and Management Techniques (3 papers) and Digital Imaging for Blood Diseases (2 papers). Sherif E. Hussein collaborates with scholars based in Egypt, Russia and United Kingdom. Sherif E. Hussein's co-authors include Abdelhameed Ibrahim‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Malcolm Granat, El‐Sayed M. El‐kenawy, Seyedali Mirjalili, Marwa M. Eid, M. Z. Rashad, Hesham Ali, John Zaki and Ehab Essa and has published in prestigious journals such as PLoS ONE, IEEE Access and Biomedical Signal Processing and Control.

In The Last Decade

Sherif E. Hussein

23 papers receiving 451 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sherif E. Hussein Egypt 10 167 112 83 76 57 25 501
Samah A. Gamel Egypt 14 130 0.8× 91 0.8× 131 1.6× 48 0.6× 63 1.1× 32 553
Ghulam Ali Pakistan 15 147 0.9× 126 1.1× 213 2.6× 75 1.0× 50 0.9× 42 811
Mohamed K. Nour Saudi Arabia 14 205 1.2× 104 0.9× 149 1.8× 47 0.6× 48 0.8× 66 573
Erkan Tanyıldızı Türkiye 9 233 1.4× 76 0.7× 125 1.5× 51 0.7× 78 1.4× 34 536
Mohit Agarwal India 16 159 1.0× 99 0.9× 163 2.0× 51 0.7× 82 1.4× 55 1.4k
Sami Dhahbi Saudi Arabia 15 205 1.2× 73 0.7× 143 1.7× 121 1.6× 36 0.6× 47 676
P. Manimegalai India 14 103 0.6× 108 1.0× 172 2.1× 85 1.1× 60 1.1× 96 686
Satya Prakash Sahu India 16 175 1.0× 79 0.7× 275 3.3× 41 0.5× 37 0.6× 48 684
Bayram Akdemïr Türkiye 14 202 1.2× 131 1.2× 213 2.6× 39 0.5× 74 1.3× 43 621
V. Muneeswaran India 18 185 1.1× 78 0.7× 196 2.4× 164 2.2× 125 2.2× 85 803

Countries citing papers authored by Sherif E. Hussein

Since Specialization
Citations

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

Fields of papers citing papers by Sherif E. Hussein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sherif E. Hussein. 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 Sherif E. Hussein. The network helps show where Sherif E. Hussein may publish in the future.

Co-authorship network of co-authors of Sherif E. Hussein

This figure shows the co-authorship network connecting the top 25 collaborators of Sherif E. Hussein. A scholar is included among the top collaborators of Sherif E. Hussein 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 Sherif E. Hussein. Sherif E. Hussein 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.
Hussein, Sherif E., et al.. (2025). Towards brain-inspired edge AI: a review of memristor-based neuromorphic computing and learning algorithms. Engineering Research Express. 7(3). 32201–32201.
2.
Hussein, Sherif E., et al.. (2024). Enhancing Power Lines Detection Using Deep Learning and Feature-Level Fusion of Infrared and Visible Light Images. Arabian Journal for Science and Engineering. 50(2). 987–999. 6 indexed citations
3.
Hussein, Sherif E., et al.. (2023). Robust features extraction from shape signature for fish images classification. Indonesian Journal of Electrical Engineering and Computer Science. 30(3). 1740–1740.
4.
Hussein, Sherif E., et al.. (2020). Leaf identification using radial basis function neural networks and SSA based support vector machine. PLoS ONE. 15(8). e0237645–e0237645. 18 indexed citations
5.
El‐kenawy, El‐Sayed M., Abdelhameed Ibrahim‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Seyedali Mirjalili, Marwa M. Eid, & Sherif E. Hussein. (2020). Novel Feature Selection and Voting Classifier Algorithms for COVID-19 Classification in CT Images. IEEE Access. 8. 179317–179335. 150 indexed citations
6.
Ibrahim‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Abdelhameed, et al.. (2020). Breast Cancer Segmentation From Thermal Images Based on Chaotic Salp Swarm Algorithm. IEEE Access. 8. 122121–122134. 70 indexed citations
7.
Rashad, M. Z., et al.. (2020). A Two-Layer Water Demand Prediction System in Urban Areas Based on Micro-Services and LSTM Neural Networks. IEEE Access. 8. 147647–147661. 53 indexed citations
8.
Essa, Ehab, et al.. (2020). Neuro-fuzzy patch-wise R-CNN for multiple sclerosis segmentation. Medical & Biological Engineering & Computing. 58(9). 2161–2175. 29 indexed citations
9.
Hussein, Sherif E.. (2019). Family Experiences of Auditory Hypersensitivity in ASD. 1 indexed citations
10.
Zaki, John, et al.. (2019). Time Aware Hybrid Hidden Markov Models for Traffic Congestion Prediction. International Journal on Electrical Engineering and Informatics. 11(1). 1–17. 5 indexed citations
11.
Hussein, Sherif E., et al.. (2019). Music and growl of a lion: anything in common? Measurement model optimized with the help of artificial intelligence will answer. Journal of Physics Conference Series. 1379. 12055–12055. 3 indexed citations
12.
Zaki, John, et al.. (2019). Traffic congestion prediction based on Hidden Markov Models and contrast measure. Ain Shams Engineering Journal. 11(3). 535–551. 28 indexed citations
13.
Hussein, Sherif E., et al.. (2018). Application of neural networks in the instrument for measuring expected listener’s emotions. Journal of Physics Conference Series. 1065. 72041–72041. 3 indexed citations
14.
Zaki, John, et al.. (2016). Framework for Traffic Congestion Prediction. Data Archiving and Networked Services (DANS). 7(5). 1205–1210. 6 indexed citations
15.
Hussein, Sherif E., et al.. (2016). ENHANCED FINGER VEIN BASED RECOGNITION SYSTEM. 16(3). 1–14. 1 indexed citations
16.
Hussein, Sherif E., et al.. (2013). Assessment of the potential iridology for diagnosing kidney disease using wavelet analysis and neural networks. Biomedical Signal Processing and Control. 8(6). 534–541. 21 indexed citations
17.
Hussein, Sherif E.. (2009). Picture Archiving and Communication System Analysis and Deployment. 520–525. 5 indexed citations
18.
Hussein, Sherif E. & Malcolm Granat. (2002). Intention detection using a neuro-fuzzy EMG classifier. IEEE Engineering in Medicine and Biology Magazine. 21(6). 123–129. 54 indexed citations
19.
Hussein, Sherif E. & Malcolm Granat. (2002). Intention Detection Using a Neuro-Fuzzy EMG Classifier Increasing the Potential of the Gabor Matching Pursuit Algorithm to Help Detect the Intent of a Person to Stand Up or to Sit Down. 5 indexed citations
20.
Hussein, Sherif E., et al.. (1989). Zur postoperativen Hochdruckbehandlung mit Urapidil bei Patienten mit Hirngefäßaneurysmen. AINS - Anästhesiologie · Intensivmedizin · Notfallmedizin · Schmerztherapie. 24(6). 373–376. 1 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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