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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:

Modified adaptive neuro-fuzzy inference system (M-ANFIS) based multi-disease analysis of healthcare Big Data
K. Vidhya, R. Shanmugalakshmi
The Journal of Supercomputing (2020) Vol. 76, Iss. 11, pp. 8657-8678
Closed Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

An efficient clinical support system for heart disease prediction using TANFIS classifier
Jayachitra Sekar, A. Prasanth, Sulaima Lebbe Abdul Haleem, et al.
Computational Intelligence (2021) Vol. 38, Iss. 2, pp. 610-640
Closed Access | Times Cited: 111
Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991–2020)
Roohallah Alizadehsani, Mohamad Roshanzamir, Sadiq Hussain, et al.
Annals of Operations Research (2021) Vol. 339, Iss. 3, pp. 1077-1118
Open Access | Times Cited: 104
Application of uncertainty quantification to artificial intelligence in healthcare: A review of last decade (2013–2023)
Silvia Seoni, Jahmunah Vicnesh, Massimo Salvi, et al.
Computers in Biology and Medicine (2023) Vol. 165, pp. 107441-107441
Open Access | Times Cited: 84
Big data analytics for data-driven industry: a review of data sources, tools, challenges, solutions, and research directions
Anayo Chukwu Ikegwu, Henry Friday Nweke, Chioma Virginia Anikwe, et al.
Cluster Computing (2022) Vol. 25, Iss. 5, pp. 3343-3387
Closed Access | Times Cited: 77
Optimized ANFIS Model Using Hybrid Metaheuristic Algorithms for Parkinson’s Disease Prediction in IoT Environment
Ibrahim M. El‐Hasnony, Sherif Barakat, Reham R. Mostafa
IEEE Access (2020) Vol. 8, pp. 119252-119270
Open Access | Times Cited: 83
Medical Image-Based Diagnosis Using a Hybrid Adaptive Neuro-Fuzzy Inferences System (ANFIS) Optimized by GA with a Deep Network Model for Features Extraction
Baidaa Mutasher Rashed, Nirvana Popescu
Mathematics (2024) Vol. 12, Iss. 5, pp. 633-633
Open Access | Times Cited: 7
Recent trends in computational intelligence for educational big data analysis
Anayo Chukwu Ikegwu, Henry Friday Nweke, Chioma Virginia Anikwe
Iran Journal of Computer Science (2023) Vol. 7, Iss. 1, pp. 103-129
Closed Access | Times Cited: 16
Assessing and predicting operation variables for doctors employing industry 4.0 in health care industry using an adaptive neuro-fuzzy inference system (ANFIS) approach
Maryam Fatima, N.U.K. Sherwani, Sameen Khan, et al.
Sustainable Operations and Computers (2022) Vol. 3, pp. 286-295
Open Access | Times Cited: 22
Reliable machine learning models in genomic medicine using conformal prediction
Christina Papangelou, Konstantinos Kyriakidis, Pantelis Natsiavas, et al.
Frontiers in Bioinformatics (2025) Vol. 5
Open Access
A Comprehensive Review of Big Data Analysis Techniques in Health-Care
Sharad Kumar Tiwari, Jaskirat Kaur, Parveen Singla, et al.
Lecture notes in electrical engineering (2023), pp. 401-420
Closed Access | Times Cited: 10
An Improved Adaptive Neuro-fuzzy Inference Framework for Lung Cancer Detection and Prediction on Internet of Medical Things Platform
S. L. Jany Shabu, J. Refonaa, Saurav Mallik, et al.
International Journal of Computational Intelligence Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 3
Kidney Impairment Prediction Due to Diabetes Using Extended Ensemble Learning Machine Algorithm
Deepa Devasenapathy, K. Vidhya, Anna Alphy, et al.
Journal of Machine and Computing (2023), pp. 312-325
Open Access | Times Cited: 7
Artificial intelligence for healthcare in Africa: a scientometric analysis
Basile Njei, Ulrick Sidney Kanmounye, Mouhand Mohamed, et al.
Health and Technology (2023) Vol. 13, Iss. 6, pp. 947-955
Closed Access | Times Cited: 6
Early prediction of diabetes diagnosis using hybrid classification techniques
Lakshmi Srinivasan, Reshma Verma, Mysore Dakshinamurthy Nandeesh
IAES International Journal of Artificial Intelligence (2023) Vol. 12, Iss. 3, pp. 1139-1139
Open Access | Times Cited: 5
RETRACTED ARTICLE: High-performance in classification of heart disease using advanced supercomputing technique with cluster-based enhanced deep genetic algorithm
Ahmed A. Bakhsh
The Journal of Supercomputing (2021) Vol. 77, Iss. 9, pp. 10540-10561
Closed Access | Times Cited: 12
Hybrid optimization based learning technique for multi‐disease analytics from healthcare big data using optimal pre‐processing, clustering and classifier
Kavitha Parimanam, Latha Lakshmanan, Thangam Palaniswamy
Concurrency and Computation Practice and Experience (2022) Vol. 34, Iss. 17
Closed Access | Times Cited: 8
Lung Cancer Detection Using Explainable Artificial Intelligence in Medical Diagnosis
M. Sundarrajan, Senthil Perumal, S. Sasikala, et al.
Advances in computational intelligence and robotics book series (2024), pp. 352-370
Closed Access | Times Cited: 1
Smart Health Application for Remote Tracking of Ambulatory Patients
Shariq Aziz Butt, Muhammad Waqas Anjum, Syed Areeb Hassan, et al.
(2021), pp. 33-55
Closed Access | Times Cited: 9
iMIGS: An innovative AI based prediction system for selecting the best patient-specific glaucoma treatment
Uvais Qidwai, Umair Qidwai, Thurka Sivapalan, et al.
MethodsX (2023) Vol. 10, pp. 102209-102209
Open Access | Times Cited: 3
Multi-Disease Prediction Techniques using Machine and Deep Learning
M. Kalaivani, R. Shalini
(2023) Vol. 1, pp. 1-5
Closed Access | Times Cited: 2
Kernel-Based SVM Classifiers for Multi-Disease Forecasting: A Meta-Analysis
Dudla Anil kumar, U Jyothi, K. Mohan, et al.
(2023), pp. 841-847
Closed Access | Times Cited: 2
A novel sampling-based visual topic models with computational intelligence for big social health data clustering
K Narasimhulu, K. T. Meena Abarna, Babeesh Kumar, et al.
The Journal of Supercomputing (2022) Vol. 78, Iss. 7, pp. 9619-9641
Open Access | Times Cited: 4
Medical Big Data Analysis using LSTM based Co-Learning Model with Whale Optimization Approach

International journal of intelligent engineering and systems (2022) Vol. 15, Iss. 4
Open Access | Times Cited: 4
An efficient multilayer deep detection perceptron (MLDDP) methodology for detecting testicular anomalies with or without congenital heart disease (TACHD)
D. Kavitha, C. H. Renumadhavi
The Journal of Supercomputing (2021) Vol. 78, Iss. 3, pp. 4057-4072
Closed Access | Times Cited: 4
An improved adaptive neuro-fuzzy inference framework for Lung Cancer Detection & Prediction on Internet of Medical things platform
S. L. Jany Shabu, J. Refonaa, Saurav Mallik, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
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