Syed Muhammad Usman

1.2k total citations
32 papers, 764 citations indexed

About

Syed Muhammad Usman is a scholar working on Cognitive Neuroscience, Signal Processing and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Syed Muhammad Usman has authored 32 papers receiving a total of 764 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cognitive Neuroscience, 10 papers in Signal Processing and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Syed Muhammad Usman's work include EEG and Brain-Computer Interfaces (15 papers), Blind Source Separation Techniques (7 papers) and ECG Monitoring and Analysis (6 papers). Syed Muhammad Usman is often cited by papers focused on EEG and Brain-Computer Interfaces (15 papers), Blind Source Separation Techniques (7 papers) and ECG Monitoring and Analysis (6 papers). Syed Muhammad Usman collaborates with scholars based in Pakistan, Saudi Arabia and Norway. Syed Muhammad Usman's co-authors include Shehzad Khalid, Muhammad Haseeb Aslam, Muhammad Usman, Simon Fong, Zafar I. Bashir, Aamir Anwar, Saddam Hussain, Syed Sajid Ullah, Zuner A. Bortolotto and Amanullah Yasin and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Syed Muhammad Usman

28 papers receiving 742 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Syed Muhammad Usman Pakistan 12 559 265 159 116 106 32 764
Hisham Daoud United States 9 475 0.8× 211 0.8× 168 1.1× 91 0.8× 88 0.8× 19 655
Junjie Chen China 17 557 1.0× 124 0.5× 81 0.5× 105 0.9× 88 0.8× 81 933
Mohammad-Parsa Hosseini United States 11 457 0.8× 146 0.6× 81 0.5× 110 0.9× 108 1.0× 14 766
Anh Nguyen United States 8 494 0.9× 194 0.7× 153 1.0× 67 0.6× 75 0.7× 13 595
Hossein Hosseini‐Nejad Iran 8 403 0.7× 134 0.5× 105 0.7× 71 0.6× 75 0.7× 15 520
Mengni Zhou China 8 542 1.0× 185 0.7× 115 0.7× 70 0.6× 127 1.2× 21 625
Mohammad Zavid Parvez Bangladesh 14 375 0.7× 184 0.7× 86 0.5× 369 3.2× 85 0.8× 46 982
Borbála Hunyadi Belgium 17 717 1.3× 202 0.8× 260 1.6× 54 0.5× 191 1.8× 60 1.1k
John Guttag United States 9 507 0.9× 245 0.9× 130 0.8× 57 0.5× 103 1.0× 13 613
Nhan Duy Truong Australia 11 700 1.3× 263 1.0× 242 1.5× 122 1.1× 125 1.2× 27 860

Countries citing papers authored by Syed Muhammad Usman

Since Specialization
Citations

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

Fields of papers citing papers by Syed Muhammad Usman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Syed Muhammad Usman

This figure shows the co-authorship network connecting the top 25 collaborators of Syed Muhammad Usman. A scholar is included among the top collaborators of Syed Muhammad Usman 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 Muhammad Usman. Syed Muhammad Usman 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.
Usman, Syed Muhammad, et al.. (2025). Unlocking the potential of EEG in Alzheimer's disease research: Current status and pathways to precision detection. Brain Research Bulletin. 223. 111281–111281. 4 indexed citations
2.
Usman, Syed Muhammad, et al.. (2025). Quantum Genetic Algorithm Based Ensemble Learning for Detection of Atrial Fibrillation Using ECG Signals. Computer Modeling in Engineering & Sciences. 145(2). 2339–2355.
3.
Usman, Syed Muhammad, et al.. (2025). EgoVision a YOLO-ViT hybrid for robust egocentric object recognition. Scientific Reports. 15(1). 34723–34723.
4.
Owais, Muhammad, et al.. (2025). Enhanced glaucoma classification through advanced segmentation by integrating cup-to-disc ratio and neuro-retinal rim features. Computerized Medical Imaging and Graphics. 123. 102559–102559. 2 indexed citations
5.
Usman, Syed Muhammad, et al.. (2025). NeuroFusionNet: a hybrid EEG feature fusion framework for accurate and explainable Alzheimer’s Disease detection. Scientific Reports. 15(1). 43742–43742.
6.
Usman, Syed Muhammad, et al.. (2025). Multi-convolutional neural networks for cotton disease detection using synergistic deep learning paradigm. PLoS ONE. 20(5). e0324293–e0324293. 3 indexed citations
7.
Usman, Syed Muhammad, et al.. (2025). Efficient Wheat Disease Identification Using Hybrid Swin-SHARP Vision Model. IEEE Access. 13. 141781–141797. 1 indexed citations
8.
Khalid, Shehzad, et al.. (2025). Edge-Optimized CNNs: A Co-Designed Software-Hardware Framework for Lightweight Deep Learning. IEEE Access. 13. 184679–184693.
9.
Usman, Syed Muhammad, et al.. (2025). Early Stage Detection of Colorectal Cancer using Segmentation of Polyps. 1–5. 1 indexed citations
10.
Khalid, Shehzad, Syed Muhammad Usman, Amina Jameel, et al.. (2025). Feature fusion ensemble classification approach for epileptic seizure prediction using electroencephalographic bio-signals. Frontiers in Medicine. 12. 1566870–1566870. 1 indexed citations
11.
Walter, Sunita R. Shah, et al.. (2024). A hybrid approach of vision transformers and CNNs for detection of ulcerative colitis. Scientific Reports. 14(1). 24771–24771. 7 indexed citations
12.
Owais, Muhammad, et al.. (2024). Enhanced gastric cancer classification and quantification interpretable framework using digital histopathology images. Scientific Reports. 14(1). 22533–22533. 11 indexed citations
13.
Khalid, Shehzad, et al.. (2024). Advancing Emotional Health Assessments: A Hybrid Deep Learning Approach Using Physiological Signals for Robust Emotion Recognition. IEEE Access. 12. 141890–141904. 7 indexed citations
14.
Aslam, Muhammad Haseeb, Syed Muhammad Usman, Shehzad Khalid, et al.. (2022). Classification of EEG Signals for Prediction of Epileptic Seizures. Applied Sciences. 12(14). 7251–7251. 29 indexed citations
15.
Shah, Syed Mohsin Ali, Syed Muhammad Usman, Shehzad Khalid, et al.. (2022). An Ensemble Model for Consumer Emotion Prediction Using EEG Signals for Neuromarketing Applications. Sensors. 22(24). 9744–9744. 15 indexed citations
16.
Muhammad, Naveed, Fahim Arif, Syed Muhammad Usman, et al.. (2022). A Deep Learning‐Based Framework for Feature Extraction and Classification of Intrusion Detection in Networks. Wireless Communications and Mobile Computing. 2022(1). 25 indexed citations
17.
Usman, Syed Muhammad, Shehzad Khalid, Aamir Anwar, et al.. (2022). An Ensemble Learning Method for Emotion Charting Using Multimodal Physiological Signals. Sensors. 22(23). 9480–9480. 14 indexed citations
18.
Usman, Syed Muhammad, et al.. (2021). Detection of preictal state in epileptic seizures using ensemble classifier. Epilepsy Research. 178. 106818–106818. 8 indexed citations
19.
Usman, Syed Muhammad, et al.. (2021). A deep learning based ensemble learning method for epileptic seizure prediction. Computers in Biology and Medicine. 136. 104710–104710. 108 indexed citations
20.
Usman, Syed Muhammad. (2018). Efficient Prediction and Classification of Epileptic Seizures Using EEG Data Based on Univariate Linear Features. Journal of Computers. 616–621. 20 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

Breakdown of academic impact, for papers by Hisham Daoud Breakdown of academic impact, for papers by Junjie Chen Breakdown of academic impact, for papers by Mohammad-Parsa Hosseini Breakdown of academic impact, for papers by Anh Nguyen Breakdown of academic impact, for papers by Hossein Hosseini‐Nejad Breakdown of academic impact, for papers by Mengni Zhou Breakdown of academic impact, for papers by Mohammad Zavid Parvez Breakdown of academic impact, for papers by Borbála Hunyadi Breakdown of academic impact, for papers by John Guttag Breakdown of academic impact, for papers by Nhan Duy Truong
Rankless by CCL
2026