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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:

Identifying diseases that cause psychological trauma and social avoidance by GCN-Xgboost
Huijuan Xu, Hairong Wang, Chenshan Yuan, et al.
BMC Bioinformatics (2020) Vol. 21, Iss. S16
Open Access | Times Cited: 21

Showing 21 citing articles:

Predicting compressive strength of high-performance concrete with high volume ground granulated blast-furnace slag replacement using boosting machine learning algorithms
Vimal Rathakrishnan, Salmia Beddu, Ali Najah Ahmed
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 74
Robust extreme gradient boosting regression model for compressive strength prediction of blast furnace slag and fly ash concrete
M. Iqbal Khan, Yassir M. Abbas
Materials Today Communications (2023) Vol. 35, pp. 105793-105793
Closed Access | Times Cited: 42
Strength prediction and optimization for ultrahigh-performance concrete with low-carbon cementitious materials – XG boost model and experimental validation
M. Iqbal Khan, Yassir M. Abbas, Galal Fares, et al.
Construction and Building Materials (2023) Vol. 387, pp. 131606-131606
Closed Access | Times Cited: 27
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: 9
Predicting residual strength of hybrid fibre-reinforced Self-compacting concrete (HFR-SCC) exposed to elevated temperatures using machine learning
Muhammad Saud Khan, Liqiang Ma, Waleed Bin Inqiad, et al.
Case Studies in Construction Materials (2024) Vol. 22, pp. e04112-e04112
Closed Access | Times Cited: 5
Soft-computing models for predicting plastic viscosity and interface yield stress of fresh concrete
Waleed Bin Inqiad, Muhammad Faisal Javed, Deema Mohammed Alsekait, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Multi-View Feature Enhancement Based on Self-Attention Mechanism Graph Convolutional Network for Autism Spectrum Disorder Diagnosis
Feng Zhao, Na Li, Hongxin Pan, et al.
Frontiers in Human Neuroscience (2022) Vol. 16
Open Access | Times Cited: 17
Efficient prediction of the load-carrying capacity of ECC-strengthened RC beams – An extra-gradient boosting machine learning method
Ahmet Tüken, Yassir M. Abbas, Nadeem A. Siddiqui
Structures (2023) Vol. 56, pp. 105053-105053
Closed Access | Times Cited: 9
Robust Machine Learning Framework for Modeling the Compressive Strength of SFRC: Database Compilation, Predictive Analysis, and Empirical Verification
Yassir M. Abbas, M. Iqbal Khan
Materials (2023) Vol. 16, Iss. 22, pp. 7178-7178
Open Access | Times Cited: 8
Knowledge, attitude, and practice toward postoperative self-management among kidney transplant recipients
Xiqian Huang, Beihua Xi, Chengjie Xuan, et al.
BMC Medical Education (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
Comparison Studies Between Machine Learning Optimisation Technique on Predicting Concrete Compressive Strength
Vimal Rathakrishnan, Salmia Beddu, Ali Najah Ahmed
Research Square (Research Square) (2021)
Open Access | Times Cited: 10
Trajectories and predictors of social avoidance in female patients with breast cancer
Chunyan He, Chao Wu, Tianqi Yang, et al.
Frontiers in Psychiatry (2022) Vol. 13
Open Access | Times Cited: 5
Self-supervised graph representation learning integrates multiple molecular networks and decodes gene-disease relationships
Yi Wang, Zijun Sun, Qiushun He, et al.
Patterns (2022) Vol. 4, Iss. 1, pp. 100651-100651
Open Access | Times Cited: 5
A stacking ensemble model for predicting the occurrence of carotid atherosclerosis
Xiaoshuai Zhang, C.-H. Tang, Shuohuan Wang, et al.
Frontiers in Endocrinology (2024) Vol. 15
Open Access
Factors influencing social avoidance and distress after radical lung cancer resection: a mediation analysis
Wanshi Yuan, Yunqin Jiang, Mengyao Sun, et al.
American Journal of Translational Research (2024) Vol. 16, Iss. 9, pp. 4770-4778
Closed Access
Experimental Verification for Machine-Learning Approaches in Compressive Strength Prediction of Alkali-Activated Concrete
Alaa M. Morsy, Soha Saleh, Ali H. Shalan
Journal of structural design and construction practice. (2024) Vol. 30, Iss. 1
Closed Access
Analyzing Children’s Trauma during the Covid-19 Pandemic Using Relational-Cultural Theory: A Literature Review
Septinda Rima Dewanti, Yuejiao Wu
Jurnal Kajian Bimbingan dan Konseling (2023) Vol. 8, Iss. 2, pp. 78-93
Open Access | Times Cited: 1
A graph convolutional network based framework for mental stress prediction
Akhila Sahiti Racherla, Raj Kumar Sahu, Vandana Bhattacharjee
Elsevier eBooks (2022), pp. 73-92
Closed Access | Times Cited: 2
Attachment and general well-being in breast cancer patients: Mediation of body esteem and social support
Yanyan Li, Xu Chen
Journal of Psychology in Africa (2023) Vol. 33, Iss. 3, pp. 257-262
Closed Access
Using Machine Learning to Recommend Personalized Modular Treatments for Common Mental Health Disorders
Fabian Schmidt, Karin Hammerfald, Henrik Haaland Jahren, et al.
(2023), pp. 150-157
Closed Access
Anxiety and Depressive Symptoms on Social Avoidance and Distress among Young adult patients with Cancer: The Mediating Role of Perceived Social Support
Shiman Qiao, Rui Wang, Fuyan Liu, et al.
Research Square (Research Square) (2022)
Open Access
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