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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:

An optimized XGBoost based diagnostic system for effective prediction of heart disease
Kartik Budholiya, Shailendra Kumar Shrivastava, Vivek Sharma
Journal of King Saud University - Computer and Information Sciences (2020) Vol. 34, Iss. 7, pp. 4514-4523
Open Access | Times Cited: 217

Showing 1-25 of 217 citing articles:

XGBoost-based method for flash flood risk assessment
Meihong Ma, Gang Zhao, Bingshun He, et al.
Journal of Hydrology (2021) Vol. 598, pp. 126382-126382
Closed Access | Times Cited: 274
Prediction of rockhead using a hybrid N-XGBoost machine learning framework
Xing Zhu, Jian Chu, Kangda Wang, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2021) Vol. 13, Iss. 6, pp. 1231-1245
Open Access | Times Cited: 105
eXtreme Gradient Boosting Algorithm with Machine Learning: a Review
Zeravan Arif Ali, Ziyad H. Abduljabbar, Hanan A. Tahir, et al.
Academic Journal of Nawroz University (2023) Vol. 12, Iss. 2, pp. 320-334
Open Access | Times Cited: 79
DLMC-Net: Deeper lightweight multi-class classification model for plant leaf disease detection
Vivek Sharma, Ashish Kumar Tripathi, Himanshu Mittal
Ecological Informatics (2023) Vol. 75, pp. 102025-102025
Closed Access | Times Cited: 77
Non-destructive detection of egg qualities based on hyperspectral imaging
Kunshan Yao, Jun Sun, Chen Chen, et al.
Journal of Food Engineering (2022) Vol. 325, pp. 111024-111024
Closed Access | Times Cited: 67
An Extensive Review of Machine Learning and Deep Learning Techniques on Heart Disease Classification and Prediction
Pooja Rani, Rajneesh Kumar, Anurag Jain, et al.
Archives of Computational Methods in Engineering (2024) Vol. 31, Iss. 6, pp. 3331-3349
Closed Access | Times Cited: 20
Optimized Ensemble Learning Approach with Explainable AI for Improved Heart Disease Prediction
Ibomoiye Domor Mienye, Nobert Jere
Information (2024) Vol. 15, Iss. 7, pp. 394-394
Open Access | Times Cited: 19
The explainable potential of coupling hybridized metaheuristics, XGBoost, and SHAP in revealing toluene behavior in the atmosphere
Nebojša Bačanin, Mirjana Perišić, Gordana Jovanović, et al.
The Science of The Total Environment (2024) Vol. 929, pp. 172195-172195
Closed Access | Times Cited: 15
Ensemble learning models with a Bayesian optimization algorithm for mineral prospectivity mapping
Jiangning Yin, Nan Li
Ore Geology Reviews (2022) Vol. 145, pp. 104916-104916
Open Access | Times Cited: 65
Heart disease prediction based on pre-trained deep neural networks combined with principal component analysis
Diman Hassan, Haval I. Hussein, Masoud Muhammed Hassan
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104019-104019
Closed Access | Times Cited: 54
Flood susceptibility modeling based on new hybrid intelligence model: Optimization of XGboost model using GA metaheuristic algorithm
Nguyễn Thị Thùy Linh, Manish Pandey, Saeid Janizadeh, et al.
Advances in Space Research (2022) Vol. 69, Iss. 9, pp. 3301-3318
Closed Access | Times Cited: 51
An Improved Ensemble Learning Approach for Heart Disease Prediction Using Boosting Algorithms
Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Majid Bashir Malik, et al.
Computer Systems Science and Engineering (2023) Vol. 46, Iss. 3, pp. 3993-4006
Open Access | Times Cited: 29
Influence of Optimal Hyperparameters on the Performance of Machine Learning Algorithms for Predicting Heart Disease
Ghulab Nabi Ahamad, Shafiullah, Hira Fatima, et al.
Processes (2023) Vol. 11, Iss. 3, pp. 734-734
Open Access | Times Cited: 25
Machine learning prediction of biochar yield based on biomass characteristics
Jingjing Ma, Shuai Zhang, Xiangjun Liu, et al.
Bioresource Technology (2023) Vol. 389, pp. 129820-129820
Closed Access | Times Cited: 21
Stacking ensemble based hyperparameters to diagnosing of heart disease: Future works
Alfredo Daza Vergaray, Juana Bobadilla Cornelio, Juan Carlos Herrera, et al.
Results in Engineering (2024) Vol. 21, pp. 101894-101894
Open Access | Times Cited: 11
HyOPTXGBoost and HyOPTRF: Hybridized Intelligent Systems using Optuna Optimization Framework for Heart Disease Prediction with Clinical Interpretations
Sanjay Dhanka, Surita Maini
Multimedia Tools and Applications (2024) Vol. 83, Iss. 29, pp. 72889-72937
Closed Access | Times Cited: 9
Explainable Artificial Intelligence for Machine Learning-Based Photogrammetric Point Cloud Classification
Muhammed Enes Atik, Zaide Duran, Dursun Zafer Şeker
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 5834-5846
Open Access | Times Cited: 8
Heart disease prediction using entropy based feature engineering and ensembling of machine learning classifiers
Rajkamal Rajendran, Anitha Karthi
Expert Systems with Applications (2022) Vol. 207, pp. 117882-117882
Closed Access | Times Cited: 36
A Heart Disease Prediction Model Based on Feature Optimization and Smote-Xgboost Algorithm
Jian Yang, Jinhan Guan
Information (2022) Vol. 13, Iss. 10, pp. 475-475
Open Access | Times Cited: 36
Mono-temporal and multi-temporal approaches for burnt area detection using Sentinel-2 satellite imagery (a case study of Rokan Hilir Regency, Indonesia)
Natasya Afira, Arie Wahyu Wijayanto
Ecological Informatics (2022) Vol. 69, pp. 101677-101677
Closed Access | Times Cited: 34
An empirical study on machine learning algorithms for heart disease prediction
Tsehay Admassu Assegie, Prasanna Kumar R, N. Komal Kumar, et al.
IAES International Journal of Artificial Intelligence (2022) Vol. 11, Iss. 3, pp. 1066-1066
Open Access | Times Cited: 33
Improved heart disease detection from ECG signal using deep learning based ensemble model
Adyasha Rath, Debahuti Mishra, Ganapati Panda, et al.
Sustainable Computing Informatics and Systems (2022) Vol. 35, pp. 100732-100732
Closed Access | Times Cited: 31
Feature Selection and Dwarf Mongoose Optimization Enabled Deep Learning for Heart Disease Detection
S. Balasubramaniam, K. Satheesh Kumar, V. Kavitha, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 30
Significance of Visible Non-Invasive Risk Attributes for the Initial Prediction of Heart Disease Using Different Machine Learning Techniques
Syed Immamul Ansarullah, Syed Mohsin Saif, Pradeep Kumar, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 29
A novel hybrid random forest linear model approach for forecasting groundwater fluoride contamination
Mouigni Baraka Nafouanti, Junxia Li, Edwin E. Nyakilla, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 17, pp. 50661-50674
Closed Access | Times Cited: 20
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