Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Research on expansion and classification of imbalanced data based on SMOTE algorithm
Shujuan Wang, Yuntao Dai, Jihong Shen, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 112

Showing 26-50 of 112 citing articles:

A model for assessing lethal resistance levels of various buildings based on improved genetic algorithm + BP neural network optimization
Jie Zhang, Bin Tan, Chaoxu Xia, et al.
Frontiers in Earth Science (2025) Vol. 13
Open Access
A multi-modal deep learning approach for stress detection using physiological signals: integrating time and frequency domain features
Jiawei Xiang, Qinyong Wang, Zaojun Fang, et al.
Frontiers in Physiology (2025) Vol. 16
Open Access
Development and internal validation of an interpretable risk prediction model for diabetic peripheral neuropathy in type 2 diabetes: a single-centre retrospective cohort study in China
Lianhua Liu, Bo Bi, Mei Gui, et al.
BMJ Open (2025) Vol. 15, Iss. 4, pp. e092463-e092463
Open Access
Prediction of Lumbar Disc Degeneration Based on Interpretable Machine Learning Models: Retrospective Cohort Study
Tenghui Li, Weihui Qi, Xinggang Mao, et al.
The Spine Journal (2025)
Open Access
Leveraging convolutional neural networks for image-based classification of feature matrix data
Erdinç Karakullukçu
Expert Systems with Applications (2025), pp. 127625-127625
Closed Access
Application of machine learning algorithms in predicting HIV infection among men who have sex with men: Model development and validation
Jiajin He, Jinhua Li, Siqing Jiang, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 21
Cervical Cancer Diagnosis Using Stacked Ensemble Model and Optimized Feature Selection: An Explainable Artificial Intelligence Approach
Abdulaziz AlMohimeed, Hager Saleh, Sherif Mostafa, et al.
Computers (2023) Vol. 12, Iss. 10, pp. 200-200
Open Access | Times Cited: 11
Prediction model of radiotherapy outcome for Ocular Adnexal Lymphoma using informative features selected by chemometric algorithms
Min Zhou, Jiaqi Wang, Jiahao Shi, et al.
Computers in Biology and Medicine (2024) Vol. 170, pp. 108067-108067
Closed Access | Times Cited: 4
Development and Validation of Machine Learning Algorithms to Predict 1-Year Ischemic Stroke and Bleeding Events in Patients with Atrial Fibrillation and Cancer
Bang Truong, Jingyi Zheng, Lori B. Hornsby, et al.
Cardiovascular Toxicology (2024) Vol. 24, Iss. 4, pp. 365-374
Open Access | Times Cited: 4
An ensemble learning method combined with multiple feature representation strategies to predict lncRNA subcellular localizations
Lina Zhang, Sizan Gao, Quan Yuan, et al.
Computational Biology and Chemistry (2025), pp. 108336-108336
Closed Access
Revolutionizing prostate cancer screening: Machine learning-driven FTIR analysis of biofluidic EVs integrated with clinical profiles
Le-Wei Wong, Zhen-Hui Bu, Janarthanan Supramaniam, et al.
Health and Technology (2025)
Open Access
Multiclass Classification of Different Glass Types using Random Forest Classifier
Nidhi Agarwal, Rakshit Srivastava, Pratishtha Srivastava, et al.
2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS) (2022), pp. 1682-1689
Closed Access | Times Cited: 18
IUP-BERT: Identification of Umami Peptides Based on BERT Features
Liangzhen Jiang, Jici Jiang, Xiao Wang, et al.
Foods (2022) Vol. 11, Iss. 22, pp. 3742-3742
Open Access | Times Cited: 18
Towards an Effective Intrusion Detection Model Using Focal Loss Variational Autoencoder for Internet of Things (IoT)
Salma Khanam, Ismail Ahmedy, Mohd Yamani Idna Idris, et al.
Sensors (2022) Vol. 22, Iss. 15, pp. 5822-5822
Open Access | Times Cited: 17
Vegetation cover and biodiversity reduce parasite infection in wild hosts across ecological levels and scales
Cecilia S. Andreazzi, Luis A. Martinez‐Vaquero, Gisele Regina Winck, et al.
Ecography (2023) Vol. 2023, Iss. 5
Open Access | Times Cited: 10
Topic prediction for tobacco control based on COP9 tweets using machine learning techniques
Sherif Elmitwalli, John Mehegan, Georgie Wellock, et al.
PLoS ONE (2024) Vol. 19, Iss. 2, pp. e0298298-e0298298
Open Access | Times Cited: 3
Predictive modeling for postoperative delirium in elderly patients with abdominal malignancies using synthetic minority oversampling technique
Wenjing Hu, Gang Bai, Yan Wang, et al.
World Journal of Gastrointestinal Oncology (2024) Vol. 16, Iss. 4, pp. 1227-1235
Open Access | Times Cited: 3
Prediction Model for Infectious Disease Health Literacy Based on Synthetic Minority Oversampling Technique Algorithm
Rongsheng Zhou, Weihao Yin, Wenjin Li, et al.
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-6
Open Access | Times Cited: 15
GAAE: a novel genetic algorithm based on autoencoder with ensemble classifiers for imbalanced healthcare data
Pintu Kumar Ram, Pratyay Kuila
The Journal of Supercomputing (2022) Vol. 79, Iss. 1, pp. 541-572
Closed Access | Times Cited: 15
An oversampling method for imbalanced data based on spatial distribution of minority samples SD-KMSMOTE
Wensheng Yang, Chengsheng Pan, Yanyan Zhang
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 13
Building a Natural Language Processing Artificial Intelligence to Predict Suicide-Related Events Based on Patient Portal Message Data
Archis R. Bhandarkar, Namrata Arya, Keldon K. Lin, et al.
Mayo Clinic Proceedings Digital Health (2023) Vol. 1, Iss. 4, pp. 510-518
Open Access | Times Cited: 7
Breaking Boundaries in Diagnosis: Non-Invasive Anemia Detection Empowered by AI
Muljono Muljono, Sari Ayu Wulandari, Harun Al Azies, et al.
IEEE Access (2024) Vol. 12, pp. 9292-9307
Open Access | Times Cited: 2
Enhancing algorithmic assessment in education: Equi-fused-data-based SMOTE for balanced learning
Yasmine Chachoui, Nabiha Azizi, Richard Hotte, et al.
Computers and Education Artificial Intelligence (2024) Vol. 6, pp. 100222-100222
Open Access | Times Cited: 2
Development and application of a machine learning-based predictive model for obstructive sleep apnea screening
Kang Liu, Shi Geng, Ping Shen, et al.
Frontiers in Big Data (2024) Vol. 7
Open Access | Times Cited: 2
Machine learning algorithms for predicting COVID-19 mortality in Ethiopia
Melsew Setegn Alie, Yilkal Negesse, Kassa Kindie, et al.
BMC Public Health (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2

Scroll to top