Mohamed E. Hussein

1.6k total citations · 1 hit paper
39 papers, 1.0k citations indexed

About

Mohamed E. Hussein is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Mohamed E. Hussein has authored 39 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 5 papers in Biomedical Engineering. Recurrent topics in Mohamed E. Hussein's work include Human Pose and Action Recognition (10 papers), Video Surveillance and Tracking Methods (9 papers) and Anomaly Detection Techniques and Applications (6 papers). Mohamed E. Hussein is often cited by papers focused on Human Pose and Action Recognition (10 papers), Video Surveillance and Tracking Methods (9 papers) and Anomaly Detection Techniques and Applications (6 papers). Mohamed E. Hussein collaborates with scholars based in Egypt, United States and United Kingdom. Mohamed E. Hussein's co-authors include Marwan Torki, Motaz El-Saban, Wael AbdAlmageed, L.S. Davis, Amin Shoukry, Walid Gomaa, Fatih Porikli, Larry S. Davis, Dima Damen and Amr Sharaf and has published in prestigious journals such as IEEE Access, IEEE Transactions on Intelligent Transportation Systems and Applied Sciences.

In The Last Decade

Mohamed E. Hussein

37 papers receiving 982 citations

Hit Papers

Human action recognition using a temporal hierarchy of co... 2013 2026 2017 2021 2013 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohamed E. Hussein Egypt 15 772 346 316 265 113 39 1.0k
Jianqin Yin China 14 555 0.7× 216 0.6× 250 0.8× 160 0.6× 86 0.8× 84 792
Qiuhong Ke Australia 17 1.1k 1.5× 476 1.4× 583 1.8× 220 0.8× 55 0.5× 43 1.4k
Chia-Chih Chen United States 9 1.4k 1.8× 535 1.5× 483 1.5× 451 1.7× 108 1.0× 10 1.5k
Hua-Tsung Chen Taiwan 15 711 0.9× 103 0.3× 139 0.4× 84 0.3× 71 0.6× 54 820
Chung‐Lin Huang Taiwan 20 1.1k 1.5× 240 0.7× 165 0.5× 590 2.2× 162 1.4× 118 1.6k
Tsutomu Terada Japan 14 487 0.6× 168 0.5× 87 0.3× 398 1.5× 85 0.8× 209 1.0k
Hanbyul Joo South Korea 13 1.3k 1.7× 158 0.5× 107 0.3× 190 0.7× 280 2.5× 29 1.6k
Yong–Lu Li China 14 800 1.0× 117 0.3× 338 1.1× 100 0.4× 67 0.6× 33 1.0k
Zhiquan Feng China 12 245 0.3× 85 0.2× 149 0.5× 167 0.6× 113 1.0× 135 724
Bappaditya Mandal Singapore 17 623 0.8× 178 0.5× 176 0.6× 72 0.3× 18 0.2× 56 1.2k

Countries citing papers authored by Mohamed E. Hussein

Since Specialization
Citations

This map shows the geographic impact of Mohamed 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 Mohamed 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 Mohamed E. Hussein more than expected).

Fields of papers citing papers by Mohamed E. Hussein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed E. Hussein. A scholar is included among the top collaborators of Mohamed 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 Mohamed E. Hussein. Mohamed 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, Mohamed E., et al.. (2023). Robust Object Recognition with Deep Learning on a Variety of Datasets. International journal of intelligent engineering and systems. 16(4). 436–449. 3 indexed citations
3.
Torki, Marwan, et al.. (2021). SCAN: Sequence-character Aware Network for Text Recognition. 602–609. 2 indexed citations
4.
Hussein, Mohamed E., et al.. (2020). Enhancing the End-to-end Link Performance of Traditional Satellite Ground Networks via Software-Defined Networking Controllers (POX/RYU). International Journal of Computer Applications. 177(29). 26–31. 1 indexed citations
5.
Hussein, Mohamed E., et al.. (2020). Revealing True Identity: Detecting Makeup Attacks in Face-based Biometric Systems. 3568–3576. 7 indexed citations
6.
Maluccio, John A., Mohamed E. Hussein, Benta Abuya, et al.. (2018). Adolescent girls’ primary school mobility and educational outcomes in urban Kenya. International Journal of Educational Development. 62. 75–87. 7 indexed citations
7.
Hussein, Mohamed E., et al.. (2018). Wearable RGB Camera-based Navigation System for the Visually Impaired. 555–562. 9 indexed citations
8.
Hussein, Mohamed E., Leonidas Spinoulas, Fei Xiong, & Wael AbdAlmageed. (2018). Fingerprint Presentation Attack Detection Using A Novel Multi-Spectral Capture Device and Patch-Based Convolutional Neural Networks. 1–8. 20 indexed citations
9.
Shoukry, Amin, et al.. (2018). CovP3DJ: Skeleton-parts-based-covariance Descriptor for Human Action Recognition. 343–350. 13 indexed citations
10.
Elpeltagy, Marwa, et al.. (2018). Multi‐modality‐based Arabic sign language recognition. IET Computer Vision. 12(7). 1031–1039. 33 indexed citations
11.
Hussein, Mohamed E., et al.. (2017). A general descriptor for detecting abnormal action performance from skeletal data. PubMed. 2017. 1401–1404. 4 indexed citations
12.
Hussein, Mohamed E., et al.. (2017). Gate and Common Pathway Detection in Crowd Scenes Using Motion Units and Meta-Tracking. 12. 1–8. 2 indexed citations
13.
Hussein, Mohamed E., et al.. (2016). Semantic analysis of crowded scenes based on non-parametric tracklet clustering. International Joint Conference on Artificial Intelligence. 3389–3395. 7 indexed citations
14.
Hussein, Mohamed E., et al.. (2016). A Review of some Pure-Pursuit based Path Tracking Techniques for Control of Autonomous Vehicle. International Journal of Computer Applications. 135(1). 35–38. 119 indexed citations
15.
Khalifa, Ahmed, et al.. (2015). Improve information retrieval and e-learning using mobile agent based on semantic web technology. 6(3). 53–70. 2 indexed citations
16.
Sharaf, Amr, Marwan Torki, Mohamed E. Hussein, & Motaz El-Saban. (2015). Real-Time Multi-scale Action Detection from 3D Skeleton Data. 3. 998–1005. 36 indexed citations
17.
Hussein, Mohamed E. & Wael AbdAlmageed. (2009). Efficient band approximation of Gram matrices for large scale kernel methods on GPUs. 1–10. 2 indexed citations
18.
Hussein, Mohamed E., Fatih Porikli, & Larry S. Davis. (2009). Object detection via boosted deformable features. ANU Open Research (Australian National University). 1. 1445–1448. 4 indexed citations
19.
Hussein, Mohamed E., Fatih Porikli, & Larry S. Davis. (2008). Kernel integral images: A framework for fast non-uniform filtering. ANU Open Research (Australian National University). 24. 1–8. 25 indexed citations
20.
AbdAlmageed, Wael, Mohamed E. Hussein, & L.C. Davis. (2006). Tracking Articulating Objects from Ground Vehicles using Mixtures of Mixtures. 39. 1230–1236. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026