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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:

Prediction Model of Dementia Risk Based on XGBoost Using Derived Variable Extraction and Hyper Parameter Optimization
Seongeun Ryu, Dong-Hoon Shin, Kyungyong Chung
IEEE Access (2020) Vol. 8, pp. 177708-177720
Open Access | Times Cited: 81

Showing 1-25 of 81 citing articles:

Machine Learning for Dementia Prediction: A Systematic Review and Future Research Directions
Ashir Javeed, Ana Luiza Dallora, Johan Berglund, et al.
Journal of Medical Systems (2023) Vol. 47, Iss. 1
Open Access | Times Cited: 86
Advanced hyperparameter optimization for improved spatial prediction of shallow landslides using extreme gradient boosting (XGBoost)
Taşkın Kavzoǧlu, Alihan Teke
Bulletin of Engineering Geology and the Environment (2022) Vol. 81, Iss. 5
Closed Access | Times Cited: 82
Integration of machine learning and remote sensing for above ground biomass estimation through Landsat-9 and field data in temperate forests of the Himalayan region
Shoaib Ahmad Anees, Kaleem Mehmood, Waseem Razzaq Khan, et al.
Ecological Informatics (2024) Vol. 82, pp. 102732-102732
Open Access | Times Cited: 39
Assessing Chilgoza Pine (Pinus gerardiana) forest fire severity: Remote sensing analysis, correlations, and predictive modeling for enhanced management strategies
Kaleem Mehmood, Shoaib Ahmad Anees, Mi Luo, et al.
Trees Forests and People (2024) Vol. 16, pp. 100521-100521
Open Access | Times Cited: 36
Impacts of building configurations on urban stormwater management at a block scale using XGBoost
Shiqi Zhou, Zhiyu Liu, Mo Wang, et al.
Sustainable Cities and Society (2022) Vol. 87, pp. 104235-104235
Closed Access | Times Cited: 68
Application of Natural Language Processing and Machine Learning Boosted with Swarm Intelligence for Spam Email Filtering
Nebojša Bačanin, Miodrag Živković, Cătălin Stoean, et al.
Mathematics (2022) Vol. 10, Iss. 22, pp. 4173-4173
Open Access | Times Cited: 56
Unveiling the Power of Collective Intelligence: A Voting-based Approach for Dementia Classification
Darshanaben Dipakkumar Pandya, Pranav Arvindkumar Patel, Hansaben Haribhai Patel, et al.
(2023)
Closed Access | Times Cited: 25
Machine Learning in Healthcare Analytics: A State-of-the-Art Review
Surajit Das, Samaleswari Pr. Nayak, Biswajit Sahoo, et al.
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 8
A systematic exposure‐wide framework leveraging machine learning to identify multidomain exposure factors and their joint influence on cognitive function: Evidence from a neurological cohort
Jingtao Wu, Bowen Yin, Rui Wen, et al.
Alzheimer s & Dementia (2025) Vol. 21, Iss. 2
Open Access | Times Cited: 1
The XGBoost Model for Network Intrusion Detection Boosted by Enhanced Sine Cosine Algorithm
Nadheera AlHosni, Luka Jovanovic, Miloš Antonijević, et al.
Lecture notes in networks and systems (2022), pp. 213-228
Closed Access | Times Cited: 37
The Significance of Machine Learning in Clinical Disease Diagnosis: A Review
Shamimur Rahman, Sifat Ibtisum, Ehsan Bazgir, et al.
International Journal of Computer Applications (2023) Vol. 185, Iss. 36, pp. 10-17
Open Access | Times Cited: 19
Fire risk level prediction of timber heritage buildings based on entropy and XGBoost
Yating Lei, Zhanfeng Shen, Fengshi Tian, et al.
Journal of Cultural Heritage (2023) Vol. 63, pp. 11-22
Closed Access | Times Cited: 17
Deakin microgrid digital twin and analysis of AI models for power generation prediction
Iynkaran Natgunanathan, Vicky Mak‐Hau, Sutharshan Rajasegarar, et al.
Energy Conversion and Management X (2023) Vol. 18, pp. 100370-100370
Open Access | Times Cited: 16
Breaking barriers: a statistical and machine learning-based hybrid system for predicting dementia
Ashir Javeed, Peter Anderberg, Ahmad Nauman Ghazi, et al.
Frontiers in Bioengineering and Biotechnology (2024) Vol. 11
Open Access | Times Cited: 6
Performance Comparison of Grid Search and Random Search Methods for Hyperparameter Tuning in Extreme Gradient Boosting Algorithm to Predict Chronic Kidney Failure
Aryo Dimas, Salsa Sasmita Mukti
International journal of intelligent engineering and systems (2021) Vol. 14, Iss. 6, pp. 198-207
Open Access | Times Cited: 37
A Novel Seepage Behavior Prediction and Lag Process Identification Method for Concrete Dams Using HGWO-XGBoost Model
Kang Zhang, Chongshi Gu, Yantao Zhu, et al.
IEEE Access (2021) Vol. 9, pp. 23311-23325
Open Access | Times Cited: 33
Data-driven urban configuration optimization: An XGBoost-based approach for mitigating flood susceptibility and enhancing economic contribution
Haojun Yuan, Mo Wang, Dongqing Zhang, et al.
Ecological Indicators (2024) Vol. 166, pp. 112247-112247
Open Access | Times Cited: 5
XGBoost-SHAP and Unobserved Heterogeneity Modelling of Temporal Multivehicle Truck-Involved Crash Severity Patterns
Wimon Laphrom, Chamroeun Se, Thanapong Champahom, et al.
Civil Engineering Journal (2024) Vol. 10, Iss. 6, pp. 1890-1908
Open Access | Times Cited: 5
A Machine Learning Approach for Early Diagnosis of Cognitive Impairment Using Population-Based Data
Wei Ying Tan, Carol Anne Hargreaves, Christopher Chen, et al.
Journal of Alzheimer s Disease (2022) Vol. 91, Iss. 1, pp. 449-461
Open Access | Times Cited: 21
Ensemble Classifiers for a 4-Way Classification of Alzheimer’s Disease
Noushath Shaffi, Faizal Hajamohideen, Abdelhamid Abdesselam, et al.
Communications in computer and information science (2022), pp. 219-230
Closed Access | Times Cited: 19
Utilizing DEM and interpretable ML algorithms to examine particle size distribution's role in small-strain shear modulus of gap-graded granular mixtures
Xingyang Liu, Jiaqi Yang, Degao Zou, et al.
Construction and Building Materials (2024) Vol. 428, pp. 136232-136232
Closed Access | Times Cited: 4
Analysis of Flooding Under Extreme Conditions with Factors Interactions Using Hybrid Machine Learning
Yanfen Geng, Xinyu Hu, Xiao Huang, et al.
Water Resources Management (2025)
Closed Access
A comparative analysis of perceptions of insecurity in Milan and Beijing metro stations
Jiaxin Liu, Hong Yan, Marcus White, et al.
Frontiers of Architectural Research (2025)
Open Access
An Interpretable Prediction Model for the Shear Stiffness of Steel Upright Frames
Zhi-Jun Lyu, Qi Chen, Xia Ji, et al.
(2025)
Closed Access
Gwo-ga-xgboost-based model for Radio-Frequency power amplifier under different temperatures
Shaohua Zhou
Expert Systems with Applications (2025), pp. 127439-127439
Closed Access
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