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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:

Machine Learning Applications for the Prediction of Bone Cement Leakage in Percutaneous Vertebroplasty
Wenle Li, Jiaming Wang, Wencai Liu, et al.
Frontiers in Public Health (2021) Vol. 9
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Artificial Intelligence-Driven Prediction Modeling and Decision Making in Spine Surgery Using Hybrid Machine Learning Models
Babak Saravi, Frank Hassel, Sara Ülkümen, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 4, pp. 509-509
Open Access | Times Cited: 98
Application of artificial intelligence technology in the field of orthopedics: a narrative review
Pengran Liu, Jiayao Zhang, Songxiang Liu, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 1
Open Access | Times Cited: 13
New Research Progress of Modified Bone Cement Applied to Vertebroplasty
Qi Quan, Xu Gongping, Na Ruisi, et al.
World Neurosurgery (2023) Vol. 176, pp. 10-18
Open Access | Times Cited: 18
An External-Validated Prediction Model to Predict Lung Metastasis among Osteosarcoma: A Multicenter Analysis Based on Machine Learning
Wenle Li, Wencai Liu, Fida Hussain Memon, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-10
Open Access | Times Cited: 27
A Machine Learning-Based Predictive Model for Predicting Lymph Node Metastasis in Patients With Ewing’s Sarcoma
Wenle Li, Zhou Qian, Wencai Liu, et al.
Frontiers in Medicine (2022) Vol. 9
Open Access | Times Cited: 23
Predictive Factors for Bone Cement Displacement following Percutaneous Vertebral Augmentation in Kümmell’s Disease
Xiangcheng Gao, Jinpeng Du, Yongyuan Zhang, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 24, pp. 7479-7479
Open Access | Times Cited: 19
A clinical prediction model for predicting the risk of liver metastasis from renal cell carcinoma based on machine learning
Ziye Wang, Chan Xu, Wencai Liu, et al.
Frontiers in Endocrinology (2023) Vol. 13
Open Access | Times Cited: 11
Revolutionizing spinal interventions: a systematic review of artificial intelligence technology applications in contemporary surgery
Hao Han, Ran Li, Dongming Fu, et al.
BMC Surgery (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 4
Building Machine Learning Predictive Models for Adolescent Internet Addiction: Key Findings on Self-Esteem and Resilience Interaction
Rongmei Liu, Saiyi Wang, Clifford Silver Tarimo, et al.
Research Square (Research Square) (2025)
Closed Access
Development and validation of a prediction model for coronary heart disease risk in depressed patients aged 20 years and older using machine learning algorithms
Yicheng Wang, C.H. Wu, Hongliang Fu, et al.
Frontiers in Cardiovascular Medicine (2025) Vol. 11
Open Access
A way to solve the “tailing” of bone cement: A case report
Yonglan Zhang, Guiyong Li, Wenchao Zhou, et al.
Asian Journal of Surgery (2025)
Open Access
Percutaneous vertebroplasty by two-step fluoroscopy: a treatment for osteoporotic compression fractures of thoracic vertebrae in older adults
Jian-zhong Ge, Kuisheng Chen, Peng Xu, et al.
BMC Musculoskeletal Disorders (2025) Vol. 26, Iss. 1
Open Access
Machine learning for the prediction of postoperative nosocomial pulmonary infection in patients with spinal cord injury
Meng-Pan Li, Wencai Liu, Jia-Bao Wu, et al.
European Spine Journal (2023) Vol. 32, Iss. 11, pp. 3825-3835
Closed Access | Times Cited: 8
Deep learning-based multimodal image analysis predicts bone cement leakage during percutaneous kyphoplasty: protocol for model development, and validation by prospective and external datasets
Xi Yu, Ruiyuan Chen, Tianyi Wang, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access | Times Cited: 2
Building bioinformatics web applications with Streamlit
Chanin Nantasenamat, Avratanu Biswas, José Manuel Nápoles-Duarte, et al.
Elsevier eBooks (2023), pp. 679-699
Closed Access | Times Cited: 6
Development and validation of a machine learning-based nomogram for predicting HLA-B27 expression
Jichong Zhu, Weiming Tan, Xinli Zhan, et al.
BMC Immunology (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 6
Pan-cancer analysis reveals interleukin-17 family members as biomarkers in the prediction for immune checkpoint inhibitor curative effect
Xiaying Han, Jianxin Ye, Runzhi Huang, et al.
Frontiers in Immunology (2022) Vol. 13
Open Access | Times Cited: 9
Applying machine learning techniques to predict the risk of lung metastases from rectal cancer: a real-world retrospective study
Binxu Qiu, Zixiong Shen, Dongliang Yang, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 4
The Use of Spiral Cement Injector for Percutaneous Vertebroplasty to Treat Kümmell Disease: A Retrospective Study
Jibin Chen, Anyu Luo, Chengliang Wang
World Neurosurgery (2024) Vol. 186, pp. e235-e242
Open Access | Times Cited: 1
Risk prediction model for pneumothorax or pleural effusion after microwave ablation in patients with lung malignancy
Zihang Wang, Yufan Liu, Xiaowen Cao, et al.
Heliyon (2024) Vol. 10, Iss. 19, pp. e38422-e38422
Open Access | Times Cited: 1
Establishment and Validation of a Machine Learning Prediction Model Based on Big Data for Predicting the Risk of Bone Metastasis in Renal Cell Carcinoma Patients
Chan Xu, Wencai Liu, Chengliang Yin, et al.
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-8
Open Access | Times Cited: 6
Interpretable Machine Learning Model to Predict Bone Cement Leakage in Percutaneous Vertebral Augmentation for Osteoporotic Vertebral Compression Fracture Based on SHapley Additive exPlanations
Yili Hu, PeiYang Wang, Zhi‐Yang Xie, et al.
Global Spine Journal (2023)
Open Access | Times Cited: 3
Application of machine learning algorithms to construct and validate a prediction model for coronary heart disease risk in patients with periodontitis: a population-based study
Yicheng Wang, Binghang Ni, Xiao Yuan, et al.
Frontiers in Cardiovascular Medicine (2023) Vol. 10
Open Access | Times Cited: 3
Machine learning model for the prediction of prostate cancer in patients with low prostate-specific antigen levels: A multicenter retrospective analysis
Xiaobin Deng, Tianyu Li, Linjian Mo, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 5
Application of machine learning model in predicting the likelihood of blood transfusion after hip fracture surgery
Xiao Cheng, Junpeng Pan, Yi Li, et al.
Aging Clinical and Experimental Research (2023) Vol. 35, Iss. 11, pp. 2643-2656
Closed Access | Times Cited: 2
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