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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:

Hybrid genetic algorithm and a fuzzy logic classifier for heart disease diagnosis
Thippa Reddy Gadekallu, Praveen Kumar Reddy Maddikunta, Kuruva Lakshmanna, et al.
Evolutionary Intelligence (2019) Vol. 13, Iss. 2, pp. 185-196
Closed Access | Times Cited: 356

Showing 1-25 of 356 citing articles:

AI-Based Modeling: Techniques, Applications and Research Issues Towards Automation, Intelligent and Smart Systems
Iqbal H. Sarker
SN Computer Science (2022) Vol. 3, Iss. 2
Open Access | Times Cited: 647
A Novel PCA-Firefly Based XGBoost Classification Model for Intrusion Detection in Networks Using GPU
Sweta Bhattacharya, Siva Rama Krishnan S, Praveen Kumar Reddy Maddikunta, et al.
Electronics (2020) Vol. 9, Iss. 2, pp. 219-219
Open Access | Times Cited: 316
Early Detection of Diabetic Retinopathy Using PCA-Firefly Based Deep Learning Model
Thippa Reddy Gadekallu, Neelu Khare, Sweta Bhattacharya, et al.
Electronics (2020) Vol. 9, Iss. 2, pp. 274-274
Open Access | Times Cited: 294
HDPM: An Effective Heart Disease Prediction Model for a Clinical Decision Support System
Norma Latif Fitriyani, Muhammad Syafrudin, Ganjar Alfian, et al.
IEEE Access (2020) Vol. 8, pp. 133034-133050
Open Access | Times Cited: 285
A novel PCA–whale optimization-based deep neural network model for classification of tomato plant diseases using GPU
Thippa Reddy Gadekallu, Dharmendra Singh Rajput, Praveen Kumar Reddy Maddikunta, et al.
Journal of Real-Time Image Processing (2020) Vol. 18, Iss. 4, pp. 1383-1396
Closed Access | Times Cited: 270
A Multidirectional LSTM Model for Predicting the Stability of a Smart Grid
Mamoun Alazab, Suleman Khan, Siva Rama Krishnan Somayaji, et al.
IEEE Access (2020) Vol. 8, pp. 85454-85463
Open Access | Times Cited: 198
Early-Stage Alzheimer's Disease Prediction Using Machine Learning Models
C. Kavitha, Vinodhini Mani, S. Srividhya, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 185
Improved faster R-CNN for fabric defect detection based on Gabor filter with Genetic Algorithm optimization
Mengqi Chen, Lingjie Yu, Chao Zhi, et al.
Computers in Industry (2021) Vol. 134, pp. 103551-103551
Closed Access | Times Cited: 179
Automated cognitive health assessment in smart homes using machine learning
Abdul Rehman Javed, Labiba Gillani Fahad, Asma Ahmad Farhan, et al.
Sustainable Cities and Society (2020) Vol. 65, pp. 102572-102572
Closed Access | Times Cited: 145
Smart Healthcare in the Age of AI: Recent Advances, Challenges, and Future Prospects
Mahmoud Nasr, Md. Milon Islam, Shady Shehata, et al.
IEEE Access (2021) Vol. 9, pp. 145248-145270
Open Access | Times Cited: 127
Skin lesion classification of dermoscopic images using machine learning and convolutional neural network
Bhuvaneshwari Shetty, Roshan Fernandes, Anisha P Rodrigues, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 113
Evolutionary bagging for ensemble learning
Giang Ngo, Rodney Beard, Rohitash Chandra
Neurocomputing (2022) Vol. 510, pp. 1-14
Open Access | Times Cited: 112
COVID-19 detection using federated machine learning
Mustafa Abdul Salam, Sanaa Taha, Mohamed Ramadan
PLoS ONE (2021) Vol. 16, Iss. 6, pp. e0252573-e0252573
Open Access | Times Cited: 106
A Review on Deep Learning Techniques for IoT Data
Kuruva Lakshmanna, Rajesh Kaluri, Nagaraja Gundluru, et al.
Electronics (2022) Vol. 11, Iss. 10, pp. 1604-1604
Open Access | Times Cited: 102
A hybrid GA and PSO optimized approach for heart-disease prediction based on random forest
Mohamed G. El-Shafiey, Ahmed Hagag, El‐Sayed A. El‐Dahshan, et al.
Multimedia Tools and Applications (2022) Vol. 81, Iss. 13, pp. 18155-18179
Open Access | Times Cited: 96
Enhancement of Detection of Diabetic Retinopathy Using Harris Hawks Optimization with Deep Learning Model
Nagaraja Gundluru, Dharmendra Singh Rajput, Kuruva Lakshmanna, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 81
Efficient Feature Selection Using Weighted Superposition Attraction Optimization Algorithm
N. Ganesh, Rajendran Shankar, Róbert Čep, et al.
Applied Sciences (2023) Vol. 13, Iss. 5, pp. 3223-3223
Open Access | Times Cited: 62
Blended Multi-Modal Deep ConvNet Features for Diabetic Retinopathy Severity Prediction
Jyostna Devi Bodapati, N. Veeranjaneyulu, Nagur Shareef Shaik, et al.
Electronics (2020) Vol. 9, Iss. 6, pp. 914-914
Open Access | Times Cited: 133
An AI-based intelligent system for healthcare analysis using Ridge-Adaline Stochastic Gradient Descent Classifier
N. Deepa, B. Prabadevi, Praveen Kumar Reddy Maddikunta, et al.
The Journal of Supercomputing (2020) Vol. 77, Iss. 2, pp. 1998-2017
Open Access | Times Cited: 129
An Ensemble based Machine Learning model for Diabetic Retinopathy Classification
Thippa Reddy Gadekallu, Sweta Bhattacharya, Sthanunathan Ramakrishnan, et al.
2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE) (2020), pp. 1-6
Closed Access | Times Cited: 127
Green communication in IoT networks using a hybrid optimization algorithm
Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu, Rajesh Kaluri, et al.
Computer Communications (2020) Vol. 159, pp. 97-107
Closed Access | Times Cited: 119
A secure remote health monitoring model for early disease diagnosis in cloud-based IoT environment
Samira Akhbarifar, Hamid Haj Seyyed Javadi, Amir Masoud Rahmani, et al.
Personal and Ubiquitous Computing (2020) Vol. 27, Iss. 3, pp. 697-713
Open Access | Times Cited: 112
A deep neural networks based model for uninterrupted marine environment monitoring
Thippa Reddy Gadekallu, Swarna Priya R.M., M. Parimala, et al.
Computer Communications (2020) Vol. 157, pp. 64-75
Closed Access | Times Cited: 95
Predictive model for battery life in IoT networks
Praveen Kumar Reddy Maddikunta, Gautam Srivastava, Thippa Reddy Gadekallu, et al.
IET Intelligent Transport Systems (2020) Vol. 14, Iss. 11, pp. 1388-1395
Open Access | Times Cited: 87
A Machine Learning Model for Accurate Prediction of Sepsis in ICU Patients
Dong Wang, Jingbo Li, Yali Sun, et al.
Frontiers in Public Health (2021) Vol. 9
Open Access | Times Cited: 76
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