OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Explainable artificial intelligence model for identifying COVID-19 gene biomarkers
Fatma Hilal Yağın, İpek BALIKÇI ÇİÇEK, Abedalrhman Alkhateeb, et al.
Computers in Biology and Medicine (2023) Vol. 154, pp. 106619-106619
Open Access | Times Cited: 62
Fatma Hilal Yağın, İpek BALIKÇI ÇİÇEK, Abedalrhman Alkhateeb, et al.
Computers in Biology and Medicine (2023) Vol. 154, pp. 106619-106619
Open Access | Times Cited: 62
Showing 51-75 of 62 citing articles:
Leveraging explainable artificial intelligence for emotional label prediction through health sensor monitoring
Essam H. Houssein, Someya Mohsen, Marwa M. Emam, et al.
Cluster Computing (2024) Vol. 28, Iss. 2
Closed Access
Essam H. Houssein, Someya Mohsen, Marwa M. Emam, et al.
Cluster Computing (2024) Vol. 28, Iss. 2
Closed Access
An Exploration on Explainable AI with Background and Motivation for XAI
B. P. Sheela, H Girisha
Algorithms for intelligent systems (2024), pp. 481-489
Closed Access
B. P. Sheela, H Girisha
Algorithms for intelligent systems (2024), pp. 481-489
Closed Access
Application of XAI to the prediction of CTCF binding sites
Thomas Vanhaeren, Angela Robledo Troncoso-García, J. F. Torres, et al.
Results in Engineering (2024), pp. 103776-103776
Open Access
Thomas Vanhaeren, Angela Robledo Troncoso-García, J. F. Torres, et al.
Results in Engineering (2024), pp. 103776-103776
Open Access
A Proposed Explainable Artificial Intelligence-Based Machine Learning Model for Discriminative Metabolites for Myalgic Encephalomyelitis/Chronic Fatigue Syndrome
Fatma Hilal Yağın, Abedalrhman Alkhateeb, Ali Raza, et al.
(2023)
Open Access | Times Cited: 1
Fatma Hilal Yağın, Abedalrhman Alkhateeb, Ali Raza, et al.
(2023)
Open Access | Times Cited: 1
Transcriptome from Paired Samples Improves the Power of Comprehensive COVID-19 Host-Viral Characterization
Ognjen Milićević, Ana Lončar, Džihan Abazović, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 17, pp. 13125-13125
Open Access | Times Cited: 1
Ognjen Milićević, Ana Lončar, Džihan Abazović, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 17, pp. 13125-13125
Open Access | Times Cited: 1
Detection of seed users vis-à-vis social synchrony in online social networks using graph analysis
Shabana Nargis Rasool, Sarika Jain, Ayaz Hassan Moon
International Journal of Information Technology (2023) Vol. 15, Iss. 7, pp. 3715-3726
Closed Access | Times Cited: 1
Shabana Nargis Rasool, Sarika Jain, Ayaz Hassan Moon
International Journal of Information Technology (2023) Vol. 15, Iss. 7, pp. 3715-3726
Closed Access | Times Cited: 1
Coot–Lion optimized deep learning algorithm for COVID-19 point mutation rate prediction using genome sequences
Praveen Gugulothu, Raju Bhukya
Computer Methods in Biomechanics & Biomedical Engineering (2023), pp. 1-20
Closed Access | Times Cited: 1
Praveen Gugulothu, Raju Bhukya
Computer Methods in Biomechanics & Biomedical Engineering (2023), pp. 1-20
Closed Access | Times Cited: 1
Development of a novel machine learning model based on laboratory and imaging indices to predict acute cardiac injury in cancer patients with COVID-19 infection: a retrospective observational study
G. Wan, Xuefeng Wu, Xiaowei Zhang, et al.
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 19, pp. 17039-17050
Closed Access | Times Cited: 1
G. Wan, Xuefeng Wu, Xiaowei Zhang, et al.
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 19, pp. 17039-17050
Closed Access | Times Cited: 1
Personalized identification of Autism-related bacteria in the gut microbiome using eXplainable Artificial Intelligence
Pierfrancesco Novielli, Donato Romano, Michele Magarelli, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
Pierfrancesco Novielli, Donato Romano, Michele Magarelli, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
Revolutionizing Vaccine Development for COVID-19: A Review of AI-Based Approaches
Aritra Ghosh, María M. Larrondo-Petrie, Mirjana Pavlović
(2023)
Open Access | Times Cited: 1
Aritra Ghosh, María M. Larrondo-Petrie, Mirjana Pavlović
(2023)
Open Access | Times Cited: 1
Letter to the editor: Does the origami plot really improve the radar plot? Authors’ response to Boers
Rui Duan, Jiayi Tong, Alex J. Sutton, et al.
Journal of Clinical Epidemiology (2023) Vol. 169, pp. 111170-111170
Closed Access
Rui Duan, Jiayi Tong, Alex J. Sutton, et al.
Journal of Clinical Epidemiology (2023) Vol. 169, pp. 111170-111170
Closed Access
Explainable learning to analyze the outcome of COVID-19 patients using clinical data
Daniel Olañeta, Daniel Iglesias, Joaquim de Moura, et al.
Procedia Computer Science (2023) Vol. 225, pp. 238-247
Open Access
Daniel Olañeta, Daniel Iglesias, Joaquim de Moura, et al.
Procedia Computer Science (2023) Vol. 225, pp. 238-247
Open Access
