Usability Attributes for Mobile Applications: A Systematic Review. - Ryan Alturki; Valérie Gay (Recent Trends and Advances in Wireless and IoT-enabled Networks, 2019)

Improving mobile fitness and weight loss apps to help Saudis overcoming obesity. Case study : Akser Waznk app - Ryan Alturki (2019)

Sensor-Cloud Architecture: A Taxonomy of Security Issues in Cloud-Assisted Sensor Networks. - Ryan Alturki; Hasan J. Alyamani; Mohammed Abdulaziz Ikram; Md. Arafatur Rahman; Mohammad Dahman Alshehri; Fazlullah Khan; Muhammad Haleem (IEEE Access, 2021)

Modeling Dynamic Spatio-Temporal Correlations for Urban Traffic Flows Prediction. - Nabeela Awan; Ahmad Ali; Fazlullah Khan; Muhammad Zakarya; Ryan Alturki; Mahwish Kundi; Mohammad Dahman Alshehri; Muhammad Haleem (IEEE Access, 2021)

Impact of Residual Hardware Impairment on the IoT Secrecy Performance of RIS-Assisted NOMA Networks. - Qin Chen; Meiling Li; Xiaoxia Yang; Ryan Alturki; Mohammad Dahman Alshehri; Fazlullah Khan (IEEE Access, 2021)

Mutual Authentication Scheme for the Device-to-Server Communication in the Internet of Medical Things. - Jiangfeng Sun 001; Fazlullah Khan; Junxia Li; Mohammad Dahman Alshehri; Ryan Alturki; Mohammad O. Wedyan (IEEE Internet Things J., 2021)

A mutual authentication scheme for establishing secure device-to-device communication sessions in the edge-enabled smart cities. - Yanbin Zhang; Ke Cheng; Fazlullah Khan; Ryan Alturki; Rahim Khan; Ateeq Ur Rehman 001 (J. Inf. Secur. Appl., 2021)

Towards an Application Helping to Minimize Medication Error Rate. - Ali I. Alharbi; Valérie Gay; Mohammed J. AlGhamdi; Ryan Alturki; Hasan J. Alyamani (Mob. Inf. Syst., 2021)

A Proposed Application for Controlling Overweight and Obesity within the Framework of the Internet of Things. - Ryan Alturki; Ali I. Alharbi; Saeed S. AlQahtani; Shahzad Khan 005; Vinh Truong Hoang (Mob. Inf. Syst., 2021)

Using the Internet of Things Mobile to Keep the User's Back Straight While Sitting. - Omar Ghaleb Elshaweesh; Mohammad O. Wedyan; Ryan Alturki; Hashim Ali 001 (Mob. Inf. Syst., 2021)

RSSI-Controlled Long-Range Communication in Secured IoT-Enabled Unmanned Aerial Vehicles. - Inam Ullah Khan; Ryan Alturki; Hasan J. Alyamani; Mohammed Abdulaziz Ikram; Muhammad Adnan Aziz; Vinh Truong Hoang; Tanweer Ahmad Cheema (Mob. Inf. Syst., 2021)

Identification of Pneumonia Disease Applying an Intelligent Computational Framework Based on Deep Learning and Machine Learning Techniques. - Yar Muhammad; Mohammad Dahman Alshehri; Wael Mohammad Alenazy; Vinh Truong Hoang; Ryan Alturki (Mob. Inf. Syst., 2021)

Multilabel CNN-Based Hybrid Learning Metric for Pedestrian Reidentification. - Yinjun Zhang; Ryan Alturki; Hasan J. Alyamani; Mohammed Abdulaziz Ikram; Ateeq Ur Rehman 001; Muhammad Haleem (Mob. Inf. Syst., 2021)

BP Neural Network Combination Prediction for Big Data Enterprise Energy Management System. - Sen Xu; Ryan Alturki; Ateeq Ur Rehman 001; Muhammad Usman Tariq (Mob. Networks Appl., 2021)

Augmented Reality for Autistic Children to Enhance Their Understanding of Facial Expressions. - Mohammad O. Wedyan; Jannat F. M. Falah; Ryan Alturki; Irini Giannopulu; Salsabeel F. M. AlFalah; Omar Ghaleb Elshaweesh; Adel Al-Jumaily (Multimodal Technol. Interact., 2021)

Research Onion for Smart IoT-Enabled Mobile Applications. - Ryan Alturki (Sci. Program., 2021)

The Use of Stemming in the Arabic Text and Its Impact on the Accuracy of Classification. - Jaffar Atwan; Mohammad O. Wedyan; Qusay Walid Bsoul; Ahmad Hammadeen; Ryan Alturki (Sci. Program., 2021)

Intelligent Detection System Enabled Attack Probability Using Markov Chain in Aerial Networks. - Inam Ullah Khan; Asrin Abdollahi; Ryan Alturki; Mohammad Dahman Alshehri; Mohammed Abdulaziz Ikram; Hasan J. Alyamani; Shahzad Khan 005 (Wirel. Commun. Mob. Comput., 2021)

NLP-BCH-Ens: NLP-based intelligent computational model for discrimination of malaria parasite. - Maqsood Hayat; Muhammad Tahir 007; Fawaz Khaled Alarfaj; Ryan Alturki; Foziah Gazzawe (Comput. Biol. Medicine, 2022)

Target-AMP: Computational prediction of antimicrobial peptides by coupling sequential information with evolutionary profile. - Asad Jan; Maqsood Hayat; Mohammad O. Wedyan; Ryan Alturki; Foziah Gazzawe; Hashim Ali 001; Fawaz Khaled Alarfaj (Comput. Biol. Medicine, 2022)

Vibrating Particles System Algorithm for Solving Classification Problems. - Mohammad O. Wedyan; Omar Ghaleb Elshaweesh; Enas Ramadan; Ryan Alturki (Comput. Syst. Sci. Eng., 2022)

Poor Compliance of Diabetic Patients with AI-Enabled E-Health Self-Care Management in Saudi Arabia. - Fuhid Alanazi; Valérie Gay; Ryan Alturki (Inf., 2022)

A reliable wireless communication mechanisms and decision support system for the IoT networks. - Bo Jin; Fazlullah Khan; Ryan Alturki; Mohammed Abdulaziz Ikram (Soft Comput., 2022)

Enabled Artificial Intelligence (AI) to Develop Sehhaty Wa Daghty App of Self-Management for Saudi Patients with Hypertension: A Qualitative Study. - Adel Alzahrani; Valérie Gay; Ryan Alturki (Inf., 2023)

Trustworthy and Reliable Deep-Learning-Based Cyberattack Detection in Industrial IoT. - Fazlullah Khan; Ryan Alturki; Md. Arafatur Rahman; Spyridon Mastorakis; Imran Razzak; Syed Tauhid Ullah Shah (IEEE Trans. Ind. Informatics, 2023)

A Trustworthy, Reliable, and Lightweight Privacy and Data Integrity Approach for the Internet of Things. - Rahim Khan; Jason Teo; Mian Ahmad Jan; Sahil Verma; Ryan Alturki; Abdullah Gani (IEEE Trans. Ind. Informatics, 2023)

An Optimized IoT-Enabled Big Data Analytics Architecture for Edge-Cloud Computing. - Muhammad Babar; Mian Ahmad Jan; Xiangjian He; Muhammad Usman Tariq; Spyridon Mastorakis; Ryan Alturki (IEEE Internet Things J., 2023)

Dynamic channel estimation-aware routing protocol in mobile cognitive radio networks for smart IIoT applications. - Qusay Medhat Salih; Md. Arafatur Rahman; A. Taufiq Asyhari; Muhammad Kamran Naeem; Mohammad N. Patwary; Ryan Alturki; Mohammed Abdulaziz Ikram (Digit. Commun. Networks, 2023)

Improving Semantic Information Retrieval Using Multinomial Naive Bayes Classifier and Bayesian Networks. - Wiem Chebil; Mohammad O. Wedyan; Moutaz Alazab; Ryan Alturki; Omar Ghaleb Elshaweesh (Inf., 2023)

An improved deep learning mechanism for EEG recognition in sports health informatics. - Tong Zhao; Jingyi Zhang; Zuocan Wang; Ryan Alturki (Neural Comput. Appl., 2023)

Basketball Flight Trajectory Tracking using Video Signal Filtering. - Botao Zhang; Yiheng Zhang; Bandar Alshawi; Ryan Alturki (Mob. Networks Appl., 2023)

A Secure Ensemble Learning-Based Fog-Cloud Approach for Cyberattack Detection in IoMT. - Fazlullah Khan; Mian Ahmad Jan; Ryan Alturki; Mohammad Dahman Alshehri; Syed Tauhid Ullah Shah; Ateeq Ur Rehman 001 (IEEE Trans. Ind. Informatics, 2023)

A Secured and Optimized Clustering Approch in Vehicular Ad-hoc Network. - Imran Khan; Fazlullah Khan; Asad Ali; Bandar Alshawi; Ryan Alturki; Mohammad O. Wedyan (ICECET, 2024)

A Secured and Optimized Broadcast Authentication Scheme for the Internet of Medical Things. - Syed Waleed Riaz; Fazlullah Khan; Insaf Ullah; Bandar Alshawi; Ryan Alturki; Mohammad O. Wedyan (ICECET, 2024)

Decoding the third dimension in the metaverse: A comprehensive method for reconstructing 2D NFT portraits into 3D models. - Erqiang Deng; Li You; Fazlullah Khan; Guosong Zhu; Zhen Qin 002; Saru Kumari; Hu Xiong; Ryan Alturki (Appl. Soft Comput., 2024)

A Novel IDS with a Dynamic Access Control Algorithm to Detect and Defend Intrusion at IoT Nodes. - Moutaz Alazab; Albara W. Awajan; Hadeel Alazzam; Mohammad O. Wedyan; Bandar Alshawi; Ryan Alturki (Sensors, 2024)

Explainable Detection of Fake News on Social Media Using Pyramidal Co-Attention Network. - Fazlullah Khan; Ryan Alturki; Gautam Srivastava 001; Foziah Gazzawe; Syed Tauhid Ullah Shah; Spyridon Mastorakis (IEEE Trans. Comput. Soc. Syst., 2024)

Equality Test Public Key Encryption With Cryptographic Reverse Firewalls for Cloud-Based E-Commerce. - Rashad Elhabob; Nabeil Eltayieb; Hu Xiong; Fazlullah Khan; Ali Kashif Bashir; Saru Kumari; Ryan Alturki; Sachin Kumar 002 (IEEE Trans. Consumer Electron., 2024)

FEDge-HAR: An Optimized Private Mobile Edge-Enabled IoT Paradigm for Privacy of Human Activity Recognition. - Ateeq Ur Rehman 001; Mahnoor Farooq; Fazlullah Khan; Gautam Srivastava 001; Rakan Ameen Aldmour; Ryan Alturki; Bandar Alshawi (IEEE Internet Things J., 2024)

One-step graph-based multi-view clustering via specific and unified nonnegative embeddings. - Sally El Hajjar; Fahed Abdallah; Hichem Omrani; Alain Khaled Chaaban; Muhammad Arif 006; Ryan Alturki; Mohammed J. AlGhamdi (Int. J. Mach. Learn. Cybern., 2024)

DSRS: DELIGHT sequential recommender system. - Syed Tauhid Ullah Shah; Fazlullah Khan; Shirin Yamani; Ryan Alturki; Foziah Gazzawe; Muhammad Imran Razzak (Eng. Appl. Artif. Intell., 2025)

Efficient and provably secured puncturable attribute-based signature for Web 3.0. - Yuetong Wu; Hu Xiong; Fazlullah Khan; Salman Ijaz 002; Ryan Alturki; Abeer Aljohani (Future Gener. Comput. Syst., 2025)

CardioBERT: A Cardiac Identification Using Fusion Features in Consumer Healthcare. - Ryan Alturki; Amr A. Munshi; Bandar Alshawi; Kadambri Agarwal; Fazlullah Khan; Salman Khan 005 (IEEE Trans. Consumer Electron., 2025)

Fused Fuzzy Deep Learning and Information Steganography for Privacy Preservation in Medical Consumer Electronics. - Jingxue Chen; Pengbiao Zhao; Erqiang Deng; Fazlullah Khan; Ryan Alturki; Bandar Alshawi; Hu Xiong (IEEE Trans. Consumer Electron., 2025)

Data-Driven DLT3 Federated Deep Reinforcement Learning for Secure and Efficient Autonomous Driving. - Rong Fei; Qianxi Li; Kan Wang; Fazlullah Khan; Ryan Alturki; Dapeng Lan (IEEE Trans. Consumer Electron., 2025)

A Blockchain-Based Distributed Collaborative Sensing and Spectrum Access Approach for Consumer Electronics. - Yuhuai Peng; Yuan Li; Yu Guo; Dawei Zhang 006; Fazlullah Khan; Ryan Alturki; Bandar Alshawi (IEEE Trans. Consumer Electron., 2025)

A Lightweight Cloud-Edge Collaborative Intelligence Inference Framework With Runtime Dynamic Optimization for Resource-Constrained Consumer Electronics. - Chenlu Wang; Yuhuai Peng; Dawei Zhang 006; Ryan Alturki; Bandar Alshawi; Majid Alotaibi (IEEE Trans. Consumer Electron., 2025)

TEVA: Training-Efficient and Verifiable Aggregation for Federated Learning for Consumer Electronics in Industry 5.0. - Yuanjun Xia; Yi-Ning Liu 002; Jingxue Chen; Yangfan Liang; Fazlullah Khan; Ryan Alturki; Xiaopei Wang (IEEE Trans. Consumer Electron., 2025)