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OpenAlex Citation Counts

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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:

Trends in using deep learning algorithms in biomedical prediction systems
Yanbu Wang, Linqing Liu, Chao Wang
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Advances in artificial intelligence for drug delivery and development: A comprehensive review
Amol D. Gholap, Md Jasim Uddin, Md. Faiyazuddin, et al.
Computers in Biology and Medicine (2024) Vol. 178, pp. 108702-108702
Closed Access | Times Cited: 41
Leveraging artificial intelligence in vaccine development: A narrative review
David B. Olawade, Jennifer Teke, Oluwaseun Fapohunda, et al.
Journal of Microbiological Methods (2024) Vol. 224, pp. 106998-106998
Open Access | Times Cited: 20
Toward intelligent food drying: Integrating artificial intelligence into drying systems
Seyed-Hassan Miraei Ashtiani, Alex Martynenko
Drying Technology (2024) Vol. 42, Iss. 8, pp. 1240-1269
Closed Access | Times Cited: 14
Machine Learning-Based Molecular Dynamics Studies on Predicting Thermophysical Properties of Ethanol–Octane Blends
Amirali Shateri, Zhiyin Yang, Jianfei Xie
Energy & Fuels (2025)
Closed Access | Times Cited: 1
现代疫苗学赋能新突发病毒性传染病疫苗的快速“智造”——以猴痘疫情为例
Tingting Zheng, Han Wang, Qihui Wang
Chinese Science Bulletin (Chinese Version) (2025) Vol. 70, Iss. 7, pp. 789-798
Closed Access | Times Cited: 1
Rethinking model prototyping through the MedMNIST+ dataset collection
Sebastian Doerrich, Francesco Di Salvo, Julius Brockmann, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Machine Learning Models and Technologies for Evidence-Based Telehealth and Smart Care: A Review
Stella C. Christopoulou
BioMedInformatics (2024) Vol. 4, Iss. 1, pp. 754-779
Open Access | Times Cited: 7
Rapid and accurate quality evaluation of Angelicae Sinensis Radix based on near-infrared spectroscopy and Bayesian optimized LSTM network
Lei Bai, Zhi‐Tong Zhang, Huanhuan Guan, et al.
Talanta (2024) Vol. 275, pp. 126098-126098
Closed Access | Times Cited: 6
Cognitive-Inspired Deep Learning Models for Aspect-Based Sentiment Analysis: A Retrospective Overview and Bibliometric Analysis
Xieling Chen, Haoran Xie, S. Joe Qin, et al.
Cognitive Computation (2024) Vol. 16, Iss. 6, pp. 3518-3556
Open Access | Times Cited: 5
Optimizing and Predicting Antidepressant Efficacy in Patients with Major Depressive Disorder Using Multi-Omics Analysis and the Opade AI Prediction Tools
Giulio Corrivetti, Francesco Monaco, Annarita Vignapiano, et al.
Brain Sciences (2024) Vol. 14, Iss. 7, pp. 658-658
Open Access | Times Cited: 4
The Role of Artificial Intelligence in Optometric Diagnostics and Research: Deep Learning and Time-Series Forecasting Applications
Luís F. F. M. Santos, Miguel Ángel Sánchez‐Tena, Cristina Álvarez-Peregrina, et al.
Technologies (2025) Vol. 13, Iss. 2, pp. 77-77
Open Access
Neuroscience-Driven Solutions for Speech Impairment
Anil Chandra G. V. S., Shantagoud Biradar, Ramya Raghavan
Advances in medical education, research, and ethics (AMERE) book series (2025), pp. 119-146
Closed Access
Advanced computational techniques: Bridging metaheuristic optimization and deep learning for material design through image enhancement
Jagrati Talreja, Divya Chauhan
Elsevier eBooks (2025), pp. 197-228
Closed Access
Manual segmentation of opacities and consolidations on CT of long COVID patients from multiple annotators
Diedre Carmo, Alejandro A. Pezzulo, Raul Villacreses, et al.
Scientific Data (2025) Vol. 12, Iss. 1
Open Access
Artificial intelligence and machine learning for joint disorder detection: Promising advances in diagnostics.
Zafar Rasheed
PubMed (2025) Vol. 19, Iss. 2, pp. 1-3
Closed Access
Enhancing Trauma Care: A Machine Learning Approach with XGBoost for Predicting Urgent Hemorrhage Interventions Using NTDB Data
Jin Zhang, Zhichao Jin, Bihan Tang, et al.
Bioengineering (2024) Vol. 11, Iss. 8, pp. 768-768
Open Access | Times Cited: 3
Artificial Intelligence Applications in Smart Healthcare: A Survey
Xian Gao, Peixiong He, Yi Zhou, et al.
Future Internet (2024) Vol. 16, Iss. 9, pp. 308-308
Open Access | Times Cited: 3
Machine learning for prognostic prediction in coronary artery disease with SPECT data: a systematic review and meta-analysis
Vedat Çiçek, Ezgi Hasret Kozan Cikirikci, Mert Babaoğlu, et al.
EJNMMI Research (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Deep learning-based identification of esophageal cancer subtypes through analysis of high-resolution histopathology images
Syed Wajid Aalam, Abdul Basit Ahanger, Tariq Masoodi, et al.
Frontiers in Molecular Biosciences (2024) Vol. 11
Open Access | Times Cited: 2
Noninvasive prediction of metastasis in esophageal cancer using ensemble-based feature selection
Syed Wajid Aalam, Abdul Basit Ahanger, Assif Assad, et al.
International Journal of Systems Assurance Engineering and Management (2024)
Closed Access
Trend Identification and Prediction of Worker Stress Rate Using Deep Learning Algorithm in Indonesia
I Wayan Gede Suarjana
Workplace Health & Safety (2024) Vol. 72, Iss. 8, pp. 312-313
Closed Access
Intelligent Handling of Noise in Federated Learning with Co-training for Enhanced Diagnostic Precision
Farah Farid Babar, Faisal Jamil, Faiza Fareed Babar
Lecture notes in computer science (2024), pp. 279-291
Closed Access
Exploring the Use of Deep Learning Models in Predicting Genetic Mutations Associated with Non-Small Cell Lung Cancer: A Systematic Review (Preprint)
Abdel Rahman Alsaify, Laila Shafei, Sara Al Dali, et al.
(2024)
Closed Access
Machine learning for HELLP syndrome prediction: algorithms, case study and challenges
Keltoum Benlaharche, Hichem Bey Benlaharche
STUDIES IN ENGINEERING AND EXACT SCIENCES (2024) Vol. 5, Iss. 2, pp. e8237-e8237
Closed Access
An Artificial Intelligence-Based Tool for Enhancing Pectoral Muscle Segmentation in Mammograms: Addressing Class Imbalance and Validation Challenges in Automated Breast Cancer Diagnosis
Fausto David Cortes-Rojas, Yazmín Mariela Hernández-Rodríguez, Rafael Bayareh-Mancilla, et al.
Diagnostics (2024) Vol. 14, Iss. 19, pp. 2144-2144
Open Access
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