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Cited by in F6Publishing
For: Ahmed I, Jeon G, Piccialli F. A Deep-Learning-Based Smart Healthcare System for Patient’s Discomfort Detection at the Edge of Internet of Things. IEEE Internet Things J 2021;8:10318-26. [DOI: 10.1109/jiot.2021.3052067] [Cited by in Crossref: 11] [Cited by in F6Publishing: 9] [Article Influence: 11.0] [Reference Citation Analysis]
Number Citing Articles
1 Wang Y, Liu Q, Sun J, Wang L, Song X, Zhao X, Ijaz MF. Multistrategy Improved Sparrow Search Algorithm Optimized Deep Neural Network for Esophageal Cancer. Computational Intelligence and Neuroscience 2022;2022:1-18. [DOI: 10.1155/2022/1036913] [Reference Citation Analysis]
2 Ahmad M, Ahmed I, Jeon G. A sustainable advanced artificial intelligence-based framework for analysis of COVID-19 spread. Environ Dev Sustain. [DOI: 10.1007/s10668-022-02584-0] [Reference Citation Analysis]
3 Elhoseny M, Siraj M, Haseeb K, Nawaz M, Altamimi M, Alghamdi MI. Energy-Efficient Mobile Agent Protocol for Secure IoT Sustainable Applications. Sustainability 2022;14:8960. [DOI: 10.3390/su14148960] [Reference Citation Analysis]
4 Srivastava J, Routray S, Ahmad S, Waris MM, Asghar MZ. Internet of Medical Things (IoMT)-Based Smart Healthcare System: Trends and Progress. Computational Intelligence and Neuroscience 2022;2022:1-17. [DOI: 10.1155/2022/7218113] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5 Ahmad M, Ahmed I, Ouameur MA, Jeon G. Classification and Detection of Cancer in Histopathologic Scans of Lymph Node Sections Using Convolutional Neural Network. Neural Process Lett. [DOI: 10.1007/s11063-022-10928-0] [Reference Citation Analysis]
6 Ahmed I, Camacho D, Jeon G, Piccialli F. Internet of health things driven deep learning-based system for non-invasive patient discomfort detection using time frame rules and pairwise keypoints distance feature. Sustainable Cities and Society 2022;79:103672. [DOI: 10.1016/j.scs.2022.103672] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
7 Hsu C, Cheng S, Chang T, Huang Y, Fung C, Chen S. Low-Cost and High-Efficiency Electromechanical Integration for Smart Factories of IoT with CNN and FOPID Controller Design under the Impact of COVID-19. Applied Sciences 2022;12:3231. [DOI: 10.3390/app12073231] [Reference Citation Analysis]
8 Ahmed I, Jeon G, Chehri A. An IoT-enabled smart health care system for screening of COVID-19 with multi layers features fusion and selection. Computing. [DOI: 10.1007/s00607-021-00992-0] [Cited by in Crossref: 5] [Cited by in F6Publishing: 2] [Article Influence: 5.0] [Reference Citation Analysis]
9 Alazzam MB, Alassery F, Almulihi A, Rani S. A Novel Smart Healthcare Monitoring System Using Machine Learning and the Internet of Things. Wireless Communications and Mobile Computing 2021;2021:1-7. [DOI: 10.1155/2021/5078799] [Cited by in Crossref: 6] [Cited by in F6Publishing: 47] [Article Influence: 6.0] [Reference Citation Analysis]
10 Tian Y, Wang Q, Guo Z, Zhao H, Khan S, Mao W, Yasir M, Zhao J. A hybrid deep learning and ensemble learning mechanism for damaged power line detection in smart grids. Soft Comput. [DOI: 10.1007/s00500-021-06482-x] [Cited by in F6Publishing: 3] [Reference Citation Analysis]