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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:

Grid search in hyperparameter optimization of machine learning models for prediction of HIV/AIDS test results
Daniel Mesafint Belete, Manjaiah D. Huchaiah
International Journal of Computers and Applications (2021) Vol. 44, Iss. 9, pp. 875-886
Closed Access | Times Cited: 247

Showing 1-25 of 247 citing articles:

An improved hyperparameter optimization framework for AutoML systems using evolutionary algorithms
Amala Mary Vincent, P. Jidesh
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 57
A systematic review of hyperparameter optimization techniques in Convolutional Neural Networks
Mohaimenul Azam Khan Raiaan, Sadman Sakib, Nur Mohammad Fahad, et al.
Decision Analytics Journal (2024) Vol. 11, pp. 100470-100470
Open Access | Times Cited: 51
A robust and interpretable ensemble machine learning model for predicting healthcare insurance fraud
Zeyu Wang, Xiaofang Chen, Yiwei Wu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 3
High‐throughput phenotyping of stay‐green in a sorghum breeding program using unmanned aerial vehicles and machine learning
N. Ace Pugh, Andrew W. Young, Yves Emendack, et al.
The Plant Phenome Journal (2025) Vol. 8, Iss. 1
Open Access | Times Cited: 2
Assessing the impact of COVID-19 lockdown on surface water quality in Ireland using advanced Irish water quality index (IEWQI) model
Md Galal Uddin, Mir Talas Mahammad Diganta, Abdul Majed Sajib, et al.
Environmental Pollution (2023) Vol. 336, pp. 122456-122456
Open Access | Times Cited: 43
An Optimal Approach for Heart Sound Classification Using Grid Search in Hyperparameter Optimization of Machine Learning
Yunendah Nur Fuadah, Muhammad Adnan Pramudito, Ki Moo Lim
Bioengineering (2022) Vol. 10, Iss. 1, pp. 45-45
Open Access | Times Cited: 39
Optimized ANFIS models based on grid partitioning, subtractive clustering, and fuzzy C-means to precise prediction of thermophysical properties of hybrid nanofluids
Zhongwei Zhang, Mohammed Al‐Bahrani, Behrooz Ruhani, et al.
Chemical Engineering Journal (2023) Vol. 471, pp. 144362-144362
Closed Access | Times Cited: 35
An Innovative Combination of Extra Trees within AdaBoost for Accurate Prediction of Agricultural Water Quality Indices
Mahmood Yousefi, Vahide Oskoei, H Esmaeli, et al.
Results in Engineering (2024) Vol. 24, pp. 103534-103534
Open Access | Times Cited: 13
A Hybrid LSTM Approach for Irrigation Scheduling in Maize Crop
Konstantinos Dolaptsis, Xanthoula Eirini Pantazi, Charalampos Paraskevas, et al.
Agriculture (2024) Vol. 14, Iss. 2, pp. 210-210
Open Access | Times Cited: 12
Improving thermodynamic stability of double perovskites with machine learning: The role of cation composition
Yuxin Zhan, Xiaojie Ren, Shuai Zhao, et al.
Solar Energy (2024) Vol. 279, pp. 112839-112839
Closed Access | Times Cited: 12
Low-cycle fatigue life prediction of austenitic stainless steel alloys: A data-driven approach with identification of key features
Harsh Kumar Bhardwaj, Mukul Shukla
International Journal of Fatigue (2024) Vol. 187, pp. 108454-108454
Open Access | Times Cited: 11
Battery Remaining Useful Life Prediction Using Machine Learning Models: A Comparative Study
Vahid Safavi, Arash Mohammadi, Najmeh Bazmohammadi, et al.
Information (2024) Vol. 15, Iss. 3, pp. 124-124
Open Access | Times Cited: 10
Comparison of boosting and genetic programming techniques for prediction of tensile strain capacity of Engineered Cementitious Composites (ECC)
Waleed Bin Inqiad, Muhammad Faisal Javed, Muhammad Shahid Siddique, et al.
Materials Today Communications (2024) Vol. 39, pp. 109222-109222
Closed Access | Times Cited: 10
A GA-stacking ensemble approach for forecasting energy consumption in a smart household: A comparative study of ensemble methods
Mahziyar Dostmohammadi, Mona Zamani Pedram, Siamak Hoseinzadeh, et al.
Journal of Environmental Management (2024) Vol. 364, pp. 121264-121264
Open Access | Times Cited: 9
Harnessing meta-heuristic, Bayesian, and search-based techniques in optimizing machine learning models for improved energy storage with microencapsulated PCMs
Lotfi Ben Said, Ali Basem, Abbas J. Sultan, et al.
International Communications in Heat and Mass Transfer (2025) Vol. 162, pp. 108537-108537
Closed Access | Times Cited: 1
Utilizing contemporary machine learning techniques for determining soilcrete properties
Waleed Bin Inqiad, Muhammad Saud Khan, Zeeshan Mehmood, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 1
Open Access | Times Cited: 1
Development of stacking algorithm for bias-correcting the precipitation projections using a multi-model ensemble of CMIP6 GCMs in a semi-arid basin, India
Hemanandhini Shanmugam, V. Lakshmanan
Theoretical and Applied Climatology (2025) Vol. 156, Iss. 2
Closed Access | Times Cited: 1
Application of HP-LSTM Models for Groundwater Level Prediction in Karst Regions: A Case Study in Qingzhen City
Yan Bo, Chunlei Zhang, Xiaoyu Fang, et al.
Water (2025) Vol. 17, Iss. 3, pp. 362-362
Open Access | Times Cited: 1
BO-CLAHE enhancing neonatal chest X-ray image quality for improved lesion classification
Ji Won Han, BongKyoo Choi, Jae Young Kim, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Syntactic-Aware Text Classification Method Embedding the Weight Vectors of Feature Words
Meng Wang, Jisu Kim, Yuting Yan
IEEE Access (2025) Vol. 13, pp. 37572-37590
Open Access | Times Cited: 1
A machine learning-based quantitative model (LogBB_Pred) to predict the blood–brain barrier permeability (logBB value) of drug compounds
Bilal Shaker, Jingyu Lee, Yunhyeok Lee, et al.
Bioinformatics (2023) Vol. 39, Iss. 10
Open Access | Times Cited: 20
Data mining approach for dry bean seeds classification
Jaime Carlos Macuácua, Jorge António Silva Centeno, Caísse Amisse
Smart Agricultural Technology (2023) Vol. 5, pp. 100240-100240
Open Access | Times Cited: 19
Crash energy management optimization of high-speed trains by machine learning methods
Shaodong Zheng, Lin Jing, Kai Liu, et al.
International Journal of Mechanical Sciences (2024) Vol. 270, pp. 109108-109108
Closed Access | Times Cited: 8
Prediction of peptide hormones using an ensemble of machine learning and similarity‐based methods
Dashleen Kaur, Akanksha Arora, Palani Vigneshwar, et al.
PROTEOMICS (2024) Vol. 24, Iss. 20
Open Access | Times Cited: 8
Identifying mining-induced chromium contamination in soil through visible-near infrared spectroscopy and machine learning
Chongchong Qi, Mengting Wu, Kechao Li, et al.
Deleted Journal (2024) Vol. 1, Iss. 2, pp. 132-139
Open Access | Times Cited: 7
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