Syed Umar Amin

4.1k total citations · 2 hit papers
47 papers, 2.8k citations indexed

About

Syed Umar Amin is a scholar working on Computer Networks and Communications, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Syed Umar Amin has authored 47 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Networks and Communications, 12 papers in Cognitive Neuroscience and 11 papers in Artificial Intelligence. Recurrent topics in Syed Umar Amin's work include IoT and Edge/Fog Computing (12 papers), EEG and Brain-Computer Interfaces (12 papers) and Network Security and Intrusion Detection (8 papers). Syed Umar Amin is often cited by papers focused on IoT and Edge/Fog Computing (12 papers), EEG and Brain-Computer Interfaces (12 papers) and Network Security and Intrusion Detection (8 papers). Syed Umar Amin collaborates with scholars based in Saudi Arabia, China and India. Syed Umar Amin's co-authors include Ghulam Muhammad, M. Shamim Hossain, Mansour Alsulaiman, Mohamed A. Bencherif, Wadood Abdul, Hamdi Altaheri, Mohamed Amine Mekhtiche, Musaed Alhussein, Mohammed Faisal and Kavita Agarwal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Syed Umar Amin

39 papers receiving 2.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep Learning for EEG motor imagery classification based on multi-layer CNNs feature fusion

2019 377 citations Syed Umar Amin, Mansour Alsulaiman et al. Future Generation Computer Systems profile →
Deep learning techniques for classification of electroencephalogram (EEG) motor imagery (MI) signals: a review

2021 341 citations Hamdi Altaheri, Ghulam Muhammad et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Syed Umar Amin Saudi Arabia	24	1.2k	585	526	508	451	47	2.8k
Wadood Abdul Saudi Arabia	27	574 0.5×	358 0.6×	930 1.8×	397 0.8×	225 0.5×	90	2.6k
John Q. Gan United Kingdom	28	1.1k 0.9×	1.1k 1.8×	366 0.7×	181 0.4×	412 0.9×	148	3.0k
Mansour Alsulaiman Saudi Arabia	34	1.5k 1.2×	1.4k 2.3×	587 1.1×	228 0.4×	564 1.3×	100	4.5k
Chiew Tong Lau Singapore	25	408 0.3×	463 0.8×	420 0.8×	678 1.3×	165 0.4×	119	2.7k
Miad Faezipour United States	28	763 0.6×	775 1.3×	247 0.5×	639 1.3×	85 0.2×	145	3.0k
Muhammad Tariq Sadiq China	28	1.2k 1.0×	445 0.8×	275 0.5×	115 0.2×	270 0.6×	67	2.3k
Enas Abdulhay Jordan	22	772 0.6×	316 0.5×	232 0.4×	256 0.5×	123 0.3×	49	2.1k
Oluwarotimi Williams Samuel China	30	1.1k 0.9×	400 0.7×	131 0.2×	187 0.4×	550 1.2×	146	2.9k
Katharina Eggensperger Germany	9	2.0k 1.6×	750 1.3×	553 1.1×	64 0.1×	620 1.4×	12	3.0k
Othman Omran Khalifa Malaysia	24	288 0.2×	487 0.8×	580 1.1×	512 1.0×	93 0.2×	295	2.6k

Countries citing papers authored by Syed Umar Amin

Since Specialization

Citations

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

Fields of papers citing papers by Syed Umar Amin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Syed Umar Amin. 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 Syed Umar Amin. The network helps show where Syed Umar Amin may publish in the future.

Co-authorship network of co-authors of Syed Umar Amin

This figure shows the co-authorship network connecting the top 25 collaborators of Syed Umar Amin. A scholar is included among the top collaborators of Syed Umar Amin 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 Syed Umar Amin. Syed Umar Amin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Zakariah, Mohammed, Syed Umar Amin, Fatma S. Alrayes, Maha Helal, & Zafar Iqbal Khan. (2025). SCADA intrusion detection using deep factorization machines. Scientific Reports. 15(1). 39753–39753.

Zakariah, Mohammed, et al.. (2025). Using convolutional neural networks with late fusion to predict heart disease. Scientific Reports. 15(1). 41260–41260.

Alrayes, Fatma S., Mohammed Zakariah, Syed Umar Amin, Zafar Iqbal Khan, & Maha Helal. (2025). Hybrid Cross-Temporal Contrastive Model with Spiking Energy-Efficient Network Intrusion Detection in IOMT. International Journal of Computational Intelligence Systems. 18(1).

Amin, Syed Umar, et al.. (2025). Performance evaluation and optimization of triple cascode operational transconductance amplifiers using GNRFET technology for low power smart devices. Materials Research Express. 12(2). 25601–25601. 1 indexed citations

Zakariah, Mohammed, Syed Umar Amin, Fatma S. Alrayes, Abeer Ali Alnuaim, & Zafar Iqbal Khan. (2025). Intrusion detection in IoT network using temporal wavelet augmented deep dense and LSTM auto-encoders. International Journal of Information Security. 24(5).

Alrayes, Fatma S., et al.. (2025). An Adaptive Framework for Intrusion Detection in IoT Security Using MAML (Model-Agnostic Meta-Learning). Sensors. 25(8). 2487–2487.

Amin, Syed Umar, et al.. (2024). Graphene nanoribbon FET technology‐based OTA for optimizing fast and energy‐efficient electronics for IoT application: Next‐generation circuit design. Micro & Nano Letters. 19(6). 4 indexed citations

Alrayes, Fatma S., et al.. (2024). Network Security Enhanced with Deep Neural Network-Based Intrusion Detection System. Computers, materials & continua/Computers, materials & continua (Print). 80(1). 1457–1490. 5 indexed citations

Kumar, Sandeep, et al.. (2024). Meta-learning for real-world class incremental learning: a transformer-based approach. Scientific Reports. 14(1). 23092–23092.

10.

Bhateja, Vikrant, et al.. (2024). Ensemble CNN Model for Computer-Aided Knee Osteoarthritis Diagnosis. International Journal of Service Science Management Engineering and Technology. 15(1). 1–17. 3 indexed citations

11.

Alrayes, Fatma S., et al.. (2024). CNN Channel Attention Intrusion Detection System Using NSL-KDD Dataset. Computers, materials & continua/Computers, materials & continua (Print). 79(3). 4319–4347. 11 indexed citations

12.

Alrayes, Fatma S., Mohammed Zakariah, Syed Umar Amin, Zafar Iqbal Khan, & Maha Helal. (2024). Intrusion Detection in IoT Systems Using Denoising Autoencoder. IEEE Access. 12. 122401–122425. 15 indexed citations

13.

Hussain, Md. Muzakkir, Ahmad Taher Azar, Rafeeq Ahmed, et al.. (2023). SONG: A Multi-Objective Evolutionary Algorithm for Delay and Energy Aware Facility Location in Vehicular Fog Networks. Sensors. 23(2). 667–667. 23 indexed citations

14.

Azar, Ahmad Taher, Mohamed Tounsi, Suliman Mohamed Fati, et al.. (2023). Automated System for Colon Cancer Detection and Segmentation Based on Deep Learning Techniques. International Journal of Sociotechnology and Knowledge Development. 15(1). 1–28. 16 indexed citations

15.

Amin, Syed Umar, Hamdi Altaheri, Ghulam Muhammad, Wadood Abdul, & Mansour Alsulaiman. (2021). Attention-Inception and Long- Short-Term Memory-Based Electroencephalography Classification for Motor Imagery Tasks in Rehabilitation. IEEE Transactions on Industrial Informatics. 18(8). 5412–5421. 88 indexed citations

16.

Altaheri, Hamdi, Mansour Alsulaiman, Ghulam Muhammad, et al.. (2019). Date fruit dataset for intelligent harvesting. SHILAP Revista de lepidopterología. 26. 104514–104514. 53 indexed citations

17.

Amin, Syed Umar, Mansour Alsulaiman, Ghulam Muhammad, Mohamed A. Bencherif, & M. Shamim Hossain. (2019). Multilevel Weighted Feature Fusion Using Convolutional Neural Networks for EEG Motor Imagery Classification. IEEE Access. 7. 18940–18950. 154 indexed citations

18.

Amin, Syed Umar, M. Shamim Hossain, Ghulam Muhammad, Musaed Alhussein, & Md. Abdur Rahman. (2019). Cognitive Smart Healthcare for Pathology Detection and Monitoring. IEEE Access. 7. 10745–10753. 138 indexed citations

19.

Amin, Syed Umar, Mansour Alsulaiman, Ghulam Muhammad, Mohamed Amine Mekhtiche, & M. Shamim Hossain. (2019). Deep Learning for EEG motor imagery classification based on multi-layer CNNs feature fusion. Future Generation Computer Systems. 101. 542–554. 377 indexed citations breakdown →

20.

Alhussein, Musaed, Ghulam Muhammad, M. Shamim Hossain, & Syed Umar Amin. (2018). Cognitive IoT-Cloud Integration for Smart Healthcare: Case Study for Epileptic Seizure Detection and Monitoring. Mobile Networks and Applications. 23(6). 1624–1635. 102 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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