Saadullah Farooq Abbasi

725 total citations
34 papers, 450 citations indexed

About

Saadullah Farooq Abbasi is a scholar working on Pediatrics, Perinatology and Child Health, Cognitive Neuroscience and Biomedical Engineering. According to data from OpenAlex, Saadullah Farooq Abbasi has authored 34 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pediatrics, Perinatology and Child Health, 10 papers in Cognitive Neuroscience and 8 papers in Biomedical Engineering. Recurrent topics in Saadullah Farooq Abbasi's work include EEG and Brain-Computer Interfaces (10 papers), Neonatal and fetal brain pathology (9 papers) and Infant Health and Development (5 papers). Saadullah Farooq Abbasi is often cited by papers focused on EEG and Brain-Computer Interfaces (10 papers), Neonatal and fetal brain pathology (9 papers) and Infant Health and Development (5 papers). Saadullah Farooq Abbasi collaborates with scholars based in United Kingdom, China and Pakistan. Saadullah Farooq Abbasi's co-authors include Wei Chen, Jawad Ahmad, Saeed Akbarzadeh, Harun Jamil, Laishuan Wang, Jan Sher Khan, Chunmei Lu, Bin Yin, Muhammad Awais and Xi Long and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Internet of Things Journal.

In The Last Decade

Saadullah Farooq Abbasi

32 papers receiving 438 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saadullah Farooq Abbasi United Kingdom 13 125 105 92 70 57 34 450
Nasir Hussain Australia 7 255 2.0× 37 0.4× 78 0.8× 63 0.9× 17 0.3× 18 438
Sugondo Hadiyoso Indonesia 14 284 2.3× 76 0.7× 109 1.2× 132 1.9× 12 0.2× 150 729
Tongguang Ni China 13 110 0.9× 199 1.9× 224 2.4× 35 0.5× 12 0.2× 54 583
Jianbin Tang Australia 10 138 1.1× 211 2.0× 108 1.2× 88 1.3× 14 0.2× 20 536
Mohammad A. Haque Denmark 15 54 0.4× 136 1.3× 63 0.7× 102 1.5× 20 0.4× 40 622
Lasitha Vidyaratne United States 9 223 1.8× 134 1.3× 121 1.3× 49 0.7× 10 0.2× 31 566
Fariborz Mahmoudi Iran 12 80 0.6× 225 2.1× 113 1.2× 27 0.4× 23 0.4× 52 478
Lurong Jiang China 12 171 1.4× 90 0.9× 64 0.7× 41 0.6× 6 0.1× 43 454
Mohammad-Parsa Hosseini United States 11 457 3.7× 87 0.8× 110 1.2× 74 1.1× 12 0.2× 14 766
Clayton R. Pereira Brazil 12 85 0.7× 186 1.8× 176 1.9× 67 1.0× 6 0.1× 27 937

Countries citing papers authored by Saadullah Farooq Abbasi

Since Specialization
Citations

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

Fields of papers citing papers by Saadullah Farooq Abbasi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Saadullah Farooq Abbasi. 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 Saadullah Farooq Abbasi. The network helps show where Saadullah Farooq Abbasi may publish in the future.

Co-authorship network of co-authors of Saadullah Farooq Abbasi

This figure shows the co-authorship network connecting the top 25 collaborators of Saadullah Farooq Abbasi. A scholar is included among the top collaborators of Saadullah Farooq Abbasi 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 Saadullah Farooq Abbasi. Saadullah Farooq Abbasi 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.
Pournik, Omid, Saadullah Farooq Abbasi, Nerea González, et al.. (2025). Analysing the Association Between User Perceptions and Usage Patterns of Digital Personalised Care Platforms Using the UTAUT Framework: Insights from the ADLIFE Project. Studies in health technology and informatics. 328. 469–473. 1 indexed citations
2.
Wang, Laishuan, et al.. (2025). EEG electrode setup optimization using feature extraction techniques for neonatal sleep state classification. Frontiers in Computational Neuroscience. 19. 1506869–1506869. 1 indexed citations
3.
Abbasi, Saadullah Farooq, et al.. (2025). Preliminary Exploration of Pre-Trained Vision-Language Models for Cyber-Threat Modelling in Internet of Medical Things (IoMT). Studies in health technology and informatics. 327. 1195–1199.
4.
Pournik, Omid, et al.. (2025). Transforming Healthcare: The Role of Artificial Intelligence. Studies in health technology and informatics. 327. 1363–1367. 1 indexed citations
5.
Abbasi, Saadullah Farooq, et al.. (2024). Development of a CNN for Adult Brain Tumour Characterisation: Implications and Future Directions for Transfer Learning. Studies in health technology and informatics. 316. 1674–1678. 3 indexed citations
6.
Wang, Laishuan, et al.. (2024). Single-Channel EEG Data Analysis Using a Multi-Branch CNN for Neonatal Sleep Staging. IEEE Access. 12. 29910–29925. 12 indexed citations
7.
Arsalan, Muhammad, et al.. (2024). 1D-CNN-IDS: 1D CNN-based Intrusion Detection System for IIoT. 1–4. 5 indexed citations
8.
9.
Abbasi, Saadullah Farooq, et al.. (2023). An IoT-Based Noncontact ECG System: Sole of the Feet/Hands Palm. IEEE Internet of Things Journal. 10(21). 18718–18732. 9 indexed citations
10.
Abbasi, Saadullah Farooq, Qammer H. Abbasi, Faisal Saeed, & Norah Saleh Alghamdi. (2023). A convolutional neural network-based decision support system for neonatal quiet sleep detection. Mathematical Biosciences & Engineering. 20(9). 17018–17036. 20 indexed citations
11.
Abbasi, Saadullah Farooq, et al.. (2023). Electroencephalography (EEG) Based Neonatal Sleep Staging and Detection Using Various Classification Algorithms. Computers, materials & continua/Computers, materials & continua (Print). 77(2). 1759–1778. 10 indexed citations
12.
13.
Abbasi, Saadullah Farooq, et al.. (2023). Automatic neonatal sleep stage classification: A comparative study. Heliyon. 9(11). e22195–e22195. 13 indexed citations
14.
Abbasi, Saadullah Farooq, et al.. (2022). Predicting Breast Cancer Leveraging Supervised Machine Learning Techniques. Computational and Mathematical Methods in Medicine. 2022. 1–13. 32 indexed citations
15.
Awais, Muhammad, Xi Long, Bin Yin, et al.. (2021). A Hybrid DCNN-SVM Model for Classifying Neonatal Sleep and Wake States Based on Facial Expressions in Video. IEEE Journal of Biomedical and Health Informatics. 25(5). 1441–1449. 38 indexed citations
16.
Abbasi, Saadullah Farooq, Saeed Akbarzadeh, Muhammad Awais, et al.. (2021). Non-Wearable IoT-Based Smart Ambient Behavior Observation System. IEEE Sensors Journal. 21(18). 20857–20869. 39 indexed citations
17.
Abbasi, Saadullah Farooq, Jawad Ahmad, Ahsen Tahir, et al.. (2020). EEG-Based Neonatal Sleep-Wake Classification Using Multilayer Perceptron Neural Network. IEEE Access. 8. 183025–183034. 52 indexed citations
18.
Awais, Muhammad, Chen Chen, Xi Long, et al.. (2020). Novel Framework: Face Feature Selection Algorithm for Neonatal Facial and Related Attributes Recognition. IEEE Access. 8. 59100–59113. 15 indexed citations
19.
20.
Awais, Muhammad, Xi Long, Bin Yin, et al.. (2020). Can pre-trained convolutional neural networks be directly used as a feature extractor for video-based neonatal sleep and wake classification?. BMC Research Notes. 13(1). 507–507. 17 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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