Luay Fraiwan

2.4k total citations · 1 hit paper
64 papers, 1.7k citations indexed

About

Luay Fraiwan is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Luay Fraiwan has authored 64 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Biomedical Engineering, 18 papers in Cognitive Neuroscience and 18 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Luay Fraiwan's work include EEG and Brain-Computer Interfaces (16 papers), Non-Invasive Vital Sign Monitoring (10 papers) and Retinal Diseases and Treatments (8 papers). Luay Fraiwan is often cited by papers focused on EEG and Brain-Computer Interfaces (16 papers), Non-Invasive Vital Sign Monitoring (10 papers) and Retinal Diseases and Treatments (8 papers). Luay Fraiwan collaborates with scholars based in Jordan, United Arab Emirates and United States. Luay Fraiwan's co-authors include Mohanad Alkhodari, Khaldon Lweesy, Natheer Khasawneh, Mohammad Fraiwan, Hartmut Dickhaus, Heinrich Wenz, Ali Ibnian, Basheer Khassawneh, Mohammed Ghazal and Ayman El‐Baz and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

Luay Fraiwan

62 papers receiving 1.6k citations

Hit Papers

Convolutional and recurrent neural networks for the detec... 2021 2026 2022 2024 2021 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luay Fraiwan Jordan 22 567 370 335 334 291 64 1.7k
P. Carvalho Portugal 25 358 0.6× 779 2.1× 420 1.3× 104 0.3× 519 1.8× 174 2.1k
Kuang Chua Chua Singapore 17 549 1.0× 98 0.3× 216 0.6× 653 2.0× 208 0.7× 31 1.6k
H. Nazeran United States 25 654 1.2× 348 0.9× 343 1.0× 82 0.2× 872 3.0× 108 2.0k
Seyed Kamaledin Setarehdan Iran 25 887 1.6× 127 0.3× 171 0.5× 466 1.4× 499 1.7× 138 2.1k
Ramakrishnan Swaminathan India 20 434 0.8× 110 0.3× 71 0.2× 303 0.9× 648 2.2× 199 1.7k
Chen Chen China 25 791 1.4× 92 0.2× 266 0.8× 73 0.2× 425 1.5× 186 1.9k
Oh Shu Lih Singapore 12 1.0k 1.8× 273 0.7× 123 0.4× 237 0.7× 537 1.8× 14 2.1k
Sumair Aziz Pakistan 22 286 0.5× 314 0.8× 162 0.5× 93 0.3× 455 1.6× 108 1.3k
Rajesh Kumar Tripathy India 31 1.3k 2.3× 484 1.3× 516 1.5× 158 0.5× 647 2.2× 106 2.8k
Oldřich Vyšata Czechia 24 411 0.7× 75 0.2× 108 0.3× 137 0.4× 520 1.8× 106 1.5k

Countries citing papers authored by Luay Fraiwan

Since Specialization
Citations

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

Fields of papers citing papers by Luay Fraiwan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luay Fraiwan. 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 Luay Fraiwan. The network helps show where Luay Fraiwan may publish in the future.

Co-authorship network of co-authors of Luay Fraiwan

This figure shows the co-authorship network connecting the top 25 collaborators of Luay Fraiwan. A scholar is included among the top collaborators of Luay Fraiwan 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 Luay Fraiwan. Luay Fraiwan 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.
Fraiwan, Luay, et al.. (2023). Artificial Intelligence Guided Wearable Seizure Detection Device. 1–5. 1 indexed citations
2.
Fraiwan, Mohammad, et al.. (2022). Using deep transfer learning to detect scoliosis and spondylolisthesis from x-ray images. PLoS ONE. 17(5). e0267851–e0267851. 49 indexed citations
3.
Khasawneh, Natheer, Mohammad Fraiwan, Luay Fraiwan, Basheer Khassawneh, & Ali Ibnian. (2021). Detection of COVID-19 from Chest X-ray Images Using Deep Convolutional Neural Networks. Sensors. 21(17). 5940–5940. 41 indexed citations
4.
Alkhodari, Mohanad & Luay Fraiwan. (2021). Convolutional and recurrent neural networks for the detection of valvular heart diseases in phonocardiogram recordings. Computer Methods and Programs in Biomedicine. 200. 105940–105940. 145 indexed citations breakdown →
5.
Fraiwan, Luay, et al.. (2021). Computer-aided identification of degenerative neuromuscular diseases based on gait dynamics and ensemble decision tree classifiers. PLoS ONE. 16(6). e0252380–e0252380. 19 indexed citations
6.
Ali, Mohamed T., Ahmed Shalaby, Ali Mahmoud, et al.. (2021). Autism Classification Using SMRI: A Recursive Features Selection Based on Sampling from Multi-Level High Dimensional Spaces. 267–270. 12 indexed citations
7.
Shaban, Mohamed, Ali Mahmoud, Andrew E. Switala, et al.. (2020). A convolutional neural network for the screening and staging of diabetic retinopathy. PLoS ONE. 15(6). e0233514–e0233514. 96 indexed citations
8.
Shehata, Mohamed, Ahmed Shalaby, Andrew E. Switala, et al.. (2020). A multimodal computer‐aided diagnostic system for precise identification of renal allograft rejection: Preliminary results. Medical Physics. 47(6). 2427–2440. 14 indexed citations
9.
Fraiwan, Luay & Mohanad Alkhodari. (2020). Classification of Focal and Non-Focal Epileptic Patients Using Single Channel EEG and Long Short-Term Memory Learning System. IEEE Access. 8. 77255–77262. 41 indexed citations
10.
Fraiwan, Luay & Mohanad Alkhodari. (2020). Investigating the use of uni-directional and bi-directional long short-term memory models for automatic sleep stage scoring. Informatics in Medicine Unlocked. 20. 100370–100370. 9 indexed citations
11.
ElTanboly, Ahmed, Mohammed Elmogy, Mohammed Ghazal, et al.. (2019). Diabetic Retinopathy Early Detection Based on OCT and OCTA Feature Fusion. 587–591. 2 indexed citations
13.
Fraiwan, Luay, et al.. (2017). Diabetic foot ulcer mobile detection system using smart phone thermal camera: a feasibility study. BioMedical Engineering OnLine. 16(1). 117–117. 73 indexed citations
14.
Fraiwan, Luay, et al.. (2016). Parkinson’s disease hand tremor detection system for mobile application. Journal of Medical Engineering & Technology. 40(3). 127–134. 44 indexed citations
15.
Fraiwan, Luay & Khaldon Lweesy. (2014). Newborn sleep stage identification using multiscale entropy. 361–364. 5 indexed citations
16.
Fraiwan, Luay, et al.. (2013). Medical waste management practices in southern Jordan. International Journal of Environment and Waste Management. 11(3). 255–255. 3 indexed citations
17.
Fraiwan, Luay, et al.. (2011). A wireless home safety gas leakage detection system. 11–14. 77 indexed citations
18.
Fraiwan, Luay, et al.. (2011). Voiceless Arabic vowels recognition using facial EMG. Medical & Biological Engineering & Computing. 49(7). 811–818. 27 indexed citations
19.
Lweesy, Khaldon, et al.. (2010). Feasibility Study of Noninvasive Tumor Treatment with Focused Ultrasound. Journal of Medical and Biological Engineering. 30(5). 321–328. 1 indexed citations
20.
Fraiwan, Luay, et al.. (2009). Automatic Sleep Stage Scoring With Wavelet Packets Based On Single Eeg Recording. Zenodo (CERN European Organization for Nuclear Research). 28 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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