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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:

DeepReco: Deep Learning Based Health Recommender System Using Collaborative Filtering
Abhaya Kumar Sahoo, Chittaranjan Pradhan, Rabindra K. Barik, et al.
Computation (2019) Vol. 7, Iss. 2, pp. 25-25
Open Access | Times Cited: 149

Showing 1-25 of 149 citing articles:

Recommendation Systems: Algorithms, Challenges, Metrics, and Business Opportunities
Zeshan Fayyaz, Mahsa Ebrahimian, Dina Nawara, et al.
Applied Sciences (2020) Vol. 10, Iss. 21, pp. 7748-7748
Open Access | Times Cited: 257
Recommender systems in the healthcare domain: state-of-the-art and research issues
Thi Ngoc Trang Tran, Alexander Felfernig, Christoph Trattner, et al.
Journal of Intelligent Information Systems (2020) Vol. 57, Iss. 1, pp. 171-201
Open Access | Times Cited: 198
Realizing an Efficient IoMT-Assisted Patient Diet Recommendation System Through Machine Learning Model
Celestine Iwendi, Suleman Khan, Joseph Henry Anajemba, et al.
IEEE Access (2020) Vol. 8, pp. 28462-28474
Open Access | Times Cited: 176
Still our most important asset: A systematic review on human resource management in the midst of the fourth industrial revolution
Salvatore Ammirato, Alberto Michele Felicetti, Roberto Linzalone, et al.
Journal of Innovation & Knowledge (2023) Vol. 8, Iss. 3, pp. 100403-100403
Open Access | Times Cited: 65
Towards efficient communications in federated learning: A contemporary survey
Zihao Zhao, Yuzhu Mao, Yang Liu, et al.
Journal of the Franklin Institute (2023) Vol. 360, Iss. 12, pp. 8669-8703
Open Access | Times Cited: 41
Performance Evaluation of Different Machine Learning Methods and Deep-Learning Based Convolutional Neural Network for Health Decision Making
Abhaya Kumar Sahoo, Chittaranjan Pradhan, Himansu Das
Studies in computational intelligence (2019), pp. 201-212
Closed Access | Times Cited: 104
CNN-Based Health Model for Regular Health Factors Analysis in Internet-of-Medical Things Environment
Walaa N. Ismail, Mohammad Mehedi Hassan, Hessah A. Alsalamah, et al.
IEEE Access (2020) Vol. 8, pp. 52541-52549
Open Access | Times Cited: 90
Survey on the Objectives of Recommender Systems: Measures, Solutions, Evaluation Methodology, and New Perspectives
Bushra Alhijawi, Arafat Awajan, F.M.A. Salam
ACM Computing Surveys (2022) Vol. 55, Iss. 5, pp. 1-38
Closed Access | Times Cited: 44
Deep Learning and Neural Networks: Decision-Making Implications
Hamed Taherdoost
Symmetry (2023) Vol. 15, Iss. 9, pp. 1723-1723
Open Access | Times Cited: 34
A hybrid mental health prediction model using Support Vector Machine, Multilayer Perceptron, and Random Forest algorithms
E. Syed Mohamed, Tawseef Ahmad Naqishbandi, Syed Ahmad Chan Bukhari, et al.
Healthcare Analytics (2023) Vol. 3, pp. 100185-100185
Open Access | Times Cited: 31
A novel framework for an intelligent deep learning based product recommendation system using sentiment analysis (SA)
Roshy Thomas, J. R. Jeba
Automatika (2024) Vol. 65, Iss. 2, pp. 410-424
Open Access | Times Cited: 9
Community detection in social recommender systems: a survey
Fabio Gasparetti, Giuseppe Sansonetti, Alessandro Micarelli
Applied Intelligence (2020) Vol. 51, Iss. 6, pp. 3975-3995
Closed Access | Times Cited: 55
A systematic review of emerging information technologies for sustainable data-centric health-care
Arnob Zahid, Jennifer Kay Poulsen, Ravi S. Sharma, et al.
International Journal of Medical Informatics (2021) Vol. 149, pp. 104420-104420
Closed Access | Times Cited: 45
An Intelligent Hybrid Neural Collaborative Filtering Approach for True Recommendations
Muhammad Ibrahim, Imran Sarwar Bajwa, Nadeem Sarwar, et al.
IEEE Access (2023) Vol. 11, pp. 64831-64849
Open Access | Times Cited: 21
LLM- Based Personalized Recommendations in Health
Boris Galitsky
(2024)
Open Access | Times Cited: 7
Enhancing Corrosion Detection in Pulsed Eddy Current Testing Systems through Autoencoder-Based Unsupervised Learning
Minhhuy Le, Phuong Huy Pham, Le Quang Trung, et al.
NDT & E International (2024) Vol. 146, pp. 103175-103175
Closed Access | Times Cited: 7
An E-Commerce Recommendation System Based on Dynamic Analysis of Customer Behavior
Farah Tawfiq Abdul Hussien, Abdul Monem S. Rahma, Hala Bahjat Abdulwahab
Sustainability (2021) Vol. 13, Iss. 19, pp. 10786-10786
Open Access | Times Cited: 36
Security and Privacy of Cloud- and IoT-Based Medical Image Diagnosis Using Fuzzy Convolutional Neural Network
J. Deepika, C. Rajan, T. Senthil
Computational Intelligence and Neuroscience (2021) Vol. 2021, pp. 1-17
Open Access | Times Cited: 35
Sub-clustering based recommendation system for stroke patient: Identification of a specific drug class for a given patient
Ribot Fleury Téné Ceskoutsé, Alain Bertrand Bomgni, David R. Gnimpieba Zanfack, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108117-108117
Closed Access | Times Cited: 5
A drug recommendation system based on response prediction: Integrating gene expression and K-mer fragmentation of drug SMILES using LightGBM
Sajid Naveed, Mujtaba Husnain
Intelligence-Based Medicine (2025), pp. 100206-100206
Open Access
Navigating the Landscape: A Comprehensive Survey on Healthcare Recommendation Systems
Megha Gupta, Shilpa Singhal, Abhinav Tomar
Smart innovation, systems and technologies (2025), pp. 457-470
Closed Access
In-depth survey: deep learning in recommender systems—exploring prediction and ranking models, datasets, feature analysis, and emerging trends
Shivangi Gheewala, Shuxiang Xu, Soonja Yeom
Neural Computing and Applications (2025)
Open Access
Multilingual Opinion Mining Movie Recommendation System Using RNN
Tarana Singh, Anand Nayyar, Arun Solanki
Lecture notes in networks and systems (2020), pp. 589-605
Closed Access | Times Cited: 34
Quantitative estimation of soil properties using hybrid features and RNN variants
Simranjit Singh, Singara Singh Kasana
Chemosphere (2021) Vol. 287, pp. 131889-131889
Closed Access | Times Cited: 30
Assessing E-Health adoption readiness using diffusion of innovation theory and the role mediated by each adopter's category in a Mauritian context
Manish Putteeraj, Nandhini Bhungee, Jhoti Somanah, et al.
International Health (2021) Vol. 14, Iss. 3, pp. 236-249
Open Access | Times Cited: 28
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