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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:

Gradient and Newton boosting for classification and regression
Fabio Sigrist
Expert Systems with Applications (2020) Vol. 167, pp. 114080-114080
Open Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

eXtreme Gradient Boosting Algorithm with Machine Learning: a Review
Zeravan Arif Ali, Ziyad H. Abduljabbar, Hanan A. Tahir, et al.
Academic Journal of Nawroz University (2023) Vol. 12, Iss. 2, pp. 320-334
Open Access | Times Cited: 82
Emerging early diagnostic methods for acute kidney injury
Zuoxiu Xiao, Qiong Huang, Yuqi Yang, et al.
Theranostics (2022) Vol. 12, Iss. 6, pp. 2963-2986
Open Access | Times Cited: 55
Machine learning-driven seismic failure mode identification of reinforced concrete shear walls based on PCA feature extraction
Qingsong Xiong, Haibei Xiong, Qingzhao Kong, et al.
Structures (2022) Vol. 44, pp. 1429-1442
Closed Access | Times Cited: 39
Machine learning and Shapley Additive Explanation-based interpretable prediction of the electrocatalytic performance of N-doped carbon materials
Shiteng Tan, Ruikun Wang, Gaoke Song, et al.
Fuel (2023) Vol. 355, pp. 129469-129469
Closed Access | Times Cited: 18
Ensemble learning based compressive strength prediction of concrete structures through real-time non-destructive testing
Harish Chandra Arora, Bharat Bhushan, Aman Kumar, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7
High-throughput map design of creep life in low-alloy steels by integrating machine learning with a genetic algorithm
Chenchong Wang, Xiaolu Wei, Da Ren, et al.
Materials & Design (2021) Vol. 213, pp. 110326-110326
Open Access | Times Cited: 37
Machine learning for corporate default risk: Multi-period prediction, frailty correlation, loan portfolios, and tail probabilities
Fabio Sigrist, Nicola Leuenberger
European Journal of Operational Research (2022) Vol. 305, Iss. 3, pp. 1390-1406
Open Access | Times Cited: 25
Latent Gaussian Model Boosting
Fabio Sigrist
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022) Vol. 45, Iss. 2, pp. 1894-1905
Open Access | Times Cited: 22
Retinal vascularization rate predicts retinopathy of prematurity and remains unaffected by low-dose bevacizumab treatment
Emer Chang, Amandeep S. Josan, Ravi Purohit, et al.
American Journal of Ophthalmology (2025)
Open Access
Comparison of Artificial Intelligence Algorithms and Remote Sensing for Modeling Pine Bark Beetle Susceptibility in Honduras
Omar Orellana, Marco Antonio Sandoval Estrada, Erick Zagal, et al.
Remote Sensing (2025) Vol. 17, Iss. 5, pp. 912-912
Open Access
Data‐Driven Design of Spinodal Decomposition in (Ti, Zr, Hf)C Composite Carbides for Optimizing the Hardness‐Toughness Trade‐Off
Zhixuan Zhang, Chengyu Hou, Zongyao Zhang, et al.
Advanced Functional Materials (2025)
Closed Access
Modulation of Hydrogen Evolution Reaction Performance of MXenes by Doped Transition Metals: Comprehensive Exploration of High-Throughput Computing and Machine Learning
Sen Lu, Zhiguo Wang, Zhikai Gao, et al.
ACS Applied Materials & Interfaces (2025)
Closed Access
Semi-supervised networks integrated with autoencoder and pseudo-labels propagation for structural condition assessment
Qingzhao Kong, Qingsong Xiong, Haibei Xiong, et al.
Measurement (2023) Vol. 214, pp. 112779-112779
Closed Access | Times Cited: 12
Interpretable ensemble machine learning framework to predict wear rate of modified ZA-27 alloy
Poornima Hulipalled, Veerabhadrappa Algur, V. Lokesha, et al.
Tribology International (2023) Vol. 188, pp. 108783-108783
Closed Access | Times Cited: 12
Nonlinear MPC based on elastic autoregressive fuzzy neural network with roasting process application
Huiping Liang, Chunhua Yang, Yonggang Li, et al.
Expert Systems with Applications (2023) Vol. 224, pp. 120012-120012
Closed Access | Times Cited: 11
Probabilistic Gradient Boosting Machines for Large-Scale Probabilistic Regression
Olivier Sprangers, Sebastian Schelter, Maarten de Rijke
(2021), pp. 1510-1520
Open Access | Times Cited: 26
A review of regression and classification techniques for analysis of common and rare variants and gene-environmental factors
Anthony Miller, John Panneerselvam, Lu Liu
Neurocomputing (2021) Vol. 489, pp. 466-485
Open Access | Times Cited: 23
Machine learning to estimate the bond strength of the corroded steel bar‐concrete
Kai‐Lai Wang, Jingyi Li, Li Li, et al.
Structural Concrete (2023) Vol. 25, Iss. 1, pp. 696-715
Closed Access | Times Cited: 10
High Spatial Resolution Fractional Vegetation Coverage Inversion Based on UAV and Sentinel-2 Data: A Case Study of Alpine Grassland
Guangrui Zhong, Jianjun Chen, Renjie Huang, et al.
Remote Sensing (2023) Vol. 15, Iss. 17, pp. 4266-4266
Open Access | Times Cited: 9
BoostXML: Gradient Boosting for Extreme Multilabel Text Classification With Tail Labels
Fengzhi Li, Yuan Zuo, Hao Lin, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 11, pp. 15292-15305
Closed Access | Times Cited: 7
Stress, Strain, or Energy? which one is superior predictor of fatigue life in notched Components? a novel Machine Learning-Based framework
A.M. Mirzaei
Engineering Fracture Mechanics (2024) Vol. 309, pp. 110401-110401
Open Access | Times Cited: 2
KTBoost: Combined Kernel and Tree Boosting
Fabio Sigrist
Neural Processing Letters (2021) Vol. 53, Iss. 2, pp. 1147-1160
Open Access | Times Cited: 14
Construction of a prediction model for properties of wear-resistant steel using industrial data based on machine learning approach
Xueyun Gao, Wenbo Fan, Lei Xing, et al.
Journal of Iron and Steel Research International (2024)
Closed Access | Times Cited: 1
Modeling of the hot-deformation behavior of Fe-Ni-Al maraging steel using constitutive equations and machine learning algorithms
Haiyan Wang, Xueyun Gao, Wenbo Fan, et al.
Journal of Materials Science (2024) Vol. 59, Iss. 36, pp. 17237-17258
Closed Access | Times Cited: 1
TRBoost: a generic gradient boosting machine based on trust-region method
Jiaqi Luo, Zihao Wei, Junkai Man, et al.
Applied Intelligence (2023) Vol. 53, Iss. 22, pp. 27876-27891
Closed Access | Times Cited: 4
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