Rayyan Azam Khan

951 total citations
27 papers, 667 citations indexed

About

Rayyan Azam Khan is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Rayyan Azam Khan has authored 27 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Biomedical Engineering and 10 papers in Cognitive Neuroscience. Recurrent topics in Rayyan Azam Khan's work include EEG and Brain-Computer Interfaces (10 papers), Non-Invasive Vital Sign Monitoring (8 papers) and Optical Imaging and Spectroscopy Techniques (8 papers). Rayyan Azam Khan is often cited by papers focused on EEG and Brain-Computer Interfaces (10 papers), Non-Invasive Vital Sign Monitoring (8 papers) and Optical Imaging and Spectroscopy Techniques (8 papers). Rayyan Azam Khan collaborates with scholars based in Canada, Pakistan and China. Rayyan Azam Khan's co-authors include Noman Naseer, Hammad Nazeer, Farzan Majeed Noori, Nauman Khalid Qureshi, Fang‐Xiang Wu, Yigang Luo, Muhammad Jawad Khan, Umar Shahbaz Khan, Muhammad Umer Khan and Sajid Saleem and has published in prestigious journals such as Sensors, Neurocomputing and Neural Networks.

In The Last Decade

Rayyan Azam Khan

25 papers receiving 649 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rayyan Azam Khan Canada 14 287 270 237 132 75 27 667
M. Sasikala India 13 260 0.9× 106 0.4× 103 0.4× 65 0.5× 85 1.1× 40 518
T. Sunil Kumar India 11 141 0.5× 190 0.7× 78 0.3× 209 1.6× 124 1.7× 35 528
Bülent Yılmaz Türkiye 15 227 0.8× 200 0.7× 153 0.6× 139 1.1× 74 1.0× 71 804
Mehmet Akif Özdemir Türkiye 16 102 0.4× 395 1.5× 218 0.9× 84 0.6× 87 1.2× 46 800
Xiaodong Zhang China 13 79 0.3× 395 1.5× 69 0.3× 320 2.4× 83 1.1× 69 830
Delaram Sadeghi Australia 9 196 0.7× 352 1.3× 41 0.2× 173 1.3× 72 1.0× 11 710
Binish Fatimah India 10 87 0.3× 233 0.9× 163 0.7× 81 0.6× 56 0.7× 27 554
Ajat Shatru Arora India 14 116 0.4× 112 0.4× 184 0.8× 35 0.3× 86 1.1× 62 482
Lina Qiu China 14 126 0.4× 198 0.7× 112 0.5× 72 0.5× 22 0.3× 32 471
Temel Kayıkçıoğlu Türkiye 13 78 0.3× 396 1.5× 96 0.4× 111 0.8× 88 1.2× 82 676

Countries citing papers authored by Rayyan Azam Khan

Since Specialization
Citations

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

Fields of papers citing papers by Rayyan Azam Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rayyan Azam Khan. 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 Rayyan Azam Khan. The network helps show where Rayyan Azam Khan may publish in the future.

Co-authorship network of co-authors of Rayyan Azam Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Rayyan Azam Khan. A scholar is included among the top collaborators of Rayyan Azam Khan 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 Rayyan Azam Khan. Rayyan Azam Khan 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.
2.
Khan, Rayyan Azam, et al.. (2025). Wi-Fi CSI Based Human Activity Recognition. 1–8.
3.
Fu, Minghan, et al.. (2024). SG-Fusion: A swin-transformer and graph convolution-based multi-modal deep neural network for glioma prognosis. Artificial Intelligence in Medicine. 157. 102972–102972. 7 indexed citations
4.
Khan, Rayyan Azam, Minghan Fu, Brent Burbridge, Yigang Luo, & Fang‐Xiang Wu. (2023). A multi-modal deep neural network for multi-class liver cancer diagnosis. Neural Networks. 165. 553–561. 24 indexed citations
5.
Khan, Rayyan Azam, Yigang Luo, & Fang‐Xiang Wu. (2022). Multi-level GAN based enhanced CT scans for liver cancer diagnosis. Biomedical Signal Processing and Control. 81. 104450–104450. 17 indexed citations
6.
Khan, Rayyan Azam, Yigang Luo, & Fang‐Xiang Wu. (2022). RMS-UNet: Residual multi-scale UNet for liver and lesion segmentation. Artificial Intelligence in Medicine. 124. 102231–102231. 55 indexed citations
7.
Naseer, Noman, et al.. (2022). Analyzing Classification Performance of fNIRS-BCI for Gait Rehabilitation Using Deep Neural Networks. Sensors. 22(5). 1932–1932. 35 indexed citations
8.
Naseer, Noman, et al.. (2022). LASSO Homotopy-Based Sparse Representation Classification for fNIRS-BCI. Sensors. 22(7). 2575–2575. 9 indexed citations
9.
Abro, Asma, Rayyan Azam Khan, Asad Ur Rehman, et al.. (2021). Combined deep learning and molecular docking simulations approach identifies potentially effective FDA approved drugs for repurposing against SARS-CoV-2. Computers in Biology and Medicine. 141. 105049–105049. 29 indexed citations
10.
Nazeer, Hammad, Noman Naseer, Rayyan Azam Khan, et al.. (2020). Enhancing classification accuracy of fNIRS-BCI using features acquired from vector-based phase analysis. Journal of Neural Engineering. 17(5). 56025–56025. 49 indexed citations
11.
Nazeer, Hammad, Noman Naseer, Muhammad Jawad Khan, et al.. (2020). Enhancing Classification Performance of fNIRS-BCI by Identifying Cortically Active Channels Using the z-Score Method. Sensors. 20(23). 6995–6995. 23 indexed citations
12.
Khan, Rayyan Azam, Noman Naseer, Sajid Saleem, et al.. (2020). Cortical Tasks-Based Optimal Filter Selection: An fNIRS Study. Journal of Healthcare Engineering. 2020. 1–15. 28 indexed citations
13.
Khan, Rayyan Azam, Noman Naseer, Nauman Khalid Qureshi, et al.. (2018). fNIRS-based Neurorobotic Interface for gait rehabilitation. Journal of NeuroEngineering and Rehabilitation. 15(1). 7–7. 94 indexed citations
14.
Khan, Rayyan Azam, et al.. (2018). Control of a prosthetic leg based on walking intentions for gait rehabilitation: an fNIRS study. Frontiers in Human Neuroscience. 12. 10 indexed citations
15.
Agrawal, Alka, et al.. (2018). Voice Biometric: A Technology for Voice Based Authentication. Advanced Science Engineering and Medicine. 10(7). 754–759. 30 indexed citations
16.
Qureshi, Nauman Khalid, Noman Naseer, Farzan Majeed Noori, et al.. (2017). Enhancing Classification Performance of Functional Near-Infrared Spectroscopy- Brain–Computer Interface Using Adaptive Estimation of General Linear Model Coefficients. Frontiers in Neurorobotics. 11. 33–33. 49 indexed citations
17.
Noori, Farzan Majeed, Noman Naseer, Nauman Khalid Qureshi, Hammad Nazeer, & Rayyan Azam Khan. (2017). Optimal feature selection from fNIRS signals using genetic algorithms for BCI. Neuroscience Letters. 647. 61–66. 79 indexed citations
18.
Agrawal, Alka, et al.. (2015). Gaussian Mixture Model: A Modeling Technique for Speaker Recognition and its Component. 28–31. 2 indexed citations
19.
Khan, Rayyan Azam, et al.. (2014). Equal Error Rate and Audio Digitization and Sampling Rate for Speaker Recognition System. Advanced Science Letters. 20(5). 1085–1088. 3 indexed citations
20.
Khan, Rayyan Azam, et al.. (2012). MFCC and Prosodic Feature Extraction Techniques: A Comparative Study. International Journal of Computer Applications. 54(1). 9–13. 36 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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