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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:

Valid prediction intervals for regression problems
Nicolas Dewolf, Bernard De Baets, Willem Waegeman
Artificial Intelligence Review (2022) Vol. 56, Iss. 1, pp. 577-613
Closed Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Uncertainty quantification in scientific machine learning: Methods, metrics, and comparisons
Apostolos F. Psaros, Xuhui Meng, Zongren Zou, et al.
Journal of Computational Physics (2023) Vol. 477, pp. 111902-111902
Open Access | Times Cited: 214
Quantification of uncertainty in robot pose errors and calibration of reliable compensation values
Teng Zhang, Fangyu Peng, Rong Yan, et al.
Robotics and Computer-Integrated Manufacturing (2024) Vol. 89, pp. 102765-102765
Closed Access | Times Cited: 13
How to evaluate uncertainty estimates in machine learning for regression?
Laurens Sluijterman, Eric Cator, Tom Heskes
Neural Networks (2024) Vol. 173, pp. 106203-106203
Open Access | Times Cited: 11
Comparison of Kolmogorov–Arnold Network and Multi-Layer Perceptron models for modelling and optimisation analysis of energy systems
Talha Ansar, Waqar Muhammad Ashraf
Energy and AI (2025), pp. 100473-100473
Open Access | Times Cited: 1
Point-based and probabilistic electricity demand prediction with a Neural Facebook Prophet and Kernel Density Estimation model
Sujan Ghimire, Ravinesh C. Deo, S. Ali Pourmousavi, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108702-108702
Open Access | Times Cited: 6
Evaluation and Prediction of Vibration Comfort in Engineering Machinery Cabs Using Random Forest with Genetic Algorithm
Jian Zhao, Yingqi Yin, Jiangfei Chen, et al.
SAE International journal of vehicle dynamics, stability, and NVH (2024) Vol. 8, Iss. 4
Closed Access | Times Cited: 5
Lightweight Regression Model with Prediction Interval Estimation for Computer Vision-based Winter Road Surface Condition Monitoring
Risto Ojala, Alvari Seppänen
IEEE Transactions on Intelligent Vehicles (2024), pp. 1-13
Open Access | Times Cited: 4
An uncertainty quantification and accuracy enhancement method for deep regression prediction scenarios
Teng Zhang, Fangyu Peng, Rong Yan, et al.
Mechanical Systems and Signal Processing (2025) Vol. 227, pp. 112394-112394
Closed Access
Image-based prediction for enclosure structure deformation in pipe-roof tunnel construction using a physical-guided and generative deep learning method
Cheng Zhang, Yue Pan, Jin-Jian Chen
Automation in Construction (2025) Vol. 171, pp. 106002-106002
Closed Access
Hybrid Semi-mechanistic and Machine Learning Solubility Regression Modeling for Crystallization Process Development
Gustavo Lunardon Quilló, Satyajeet Bhonsale, A. Collas, et al.
Crystal Growth & Design (2025)
Closed Access
Discussion on Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models
Ansgar Steland
Environmetrics (2025) Vol. 36, Iss. 2
Open Access
Robust uncertainty quantification for online remaining useful life prediction with randomly missing and partially faulty sensor data
Wei Wang, Zhaoqiang Wang, Zhiqiang Cai, et al.
Reliability Engineering & System Safety (2025), pp. 111177-111177
Closed Access
Multistep Probabilistic Forecasting Approach for Tunnel Boring Machine Cutterhead Torque and Thrust Based on VMD-BDNN
Yao Liang, Hong Wang, Ke Hu, et al.
International Journal of Geomechanics (2025) Vol. 25, Iss. 7
Closed Access
Interval Prediction Model of Deformation Behavior for Dam Safety during Long-Term Operation Using Bootstrap-GBDT
Erfeng Zhao, Yi Li, Jingmei Zhang, et al.
Structural Control and Health Monitoring (2023) Vol. 2023, pp. 1-14
Open Access | Times Cited: 9
Pedestrian Trajectory Forecasting Using Deep Ensembles Under Sensing Uncertainty
Anshul Nayak, Azim Eskandarian, Zachary R. Doerzaph, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 9, pp. 11317-11329
Open Access | Times Cited: 2
Conformal Prediction Intervals for Remaining Useful Lifetime Estimation
Alireza Javanmardi, Eyke Hüllermeier
International Journal of Prognostics and Health Management (2023) Vol. 14, Iss. 2
Open Access | Times Cited: 5
Storage of weights and retrieval method (SWARM) approach for neural networks hybridized with conformal prediction to construct the prediction intervals for energy system applications
Waqar Muhammad Ashraf, Vivek Dua
International Journal of Data Science and Analytics (2024)
Open Access | Times Cited: 1
A general framework for multi-step ahead adaptive conformal heteroscedastic time series forecasting
Martim Sousa, Ana Maria Tomé, José E. Moreira
Neurocomputing (2024) Vol. 608, pp. 128434-128434
Open Access | Times Cited: 1
Exploring the Potential of a Multispectral-Sensing System With Automated Machine Learning for Multiplex Detection
Juan M. Huerta, Munir Pirbhai
IEEE Sensors Journal (2023) Vol. 23, Iss. 19, pp. 22600-22607
Closed Access | Times Cited: 2
Improving conformalized quantile regression through cluster-based feature relevance
Martim Sousa, Ana Maria Tomé, José E. Moreira
Expert Systems with Applications (2023) Vol. 238, pp. 122322-122322
Open Access | Times Cited: 2
How to Evaluate Uncertainty Estimates in Machine Learning for Regression?
Laurens Sluijterman, Eric Cator, Tom Heskes
arXiv (Cornell University) (2021)
Open Access | Times Cited: 5
Regression Trees for Fast and Adaptive Prediction Intervals
Luben Cruz Cabezas, Mateus Piovezan Otto, Rafael Izbicki, et al.
(2024)
Open Access
Short-term wind speed interval prediction using improved quality-driven loss based gated multi-scale convolutional sequence model
Adnan Saeed, Chaoshun Li, Zhenhao Gan
Energy (2024) Vol. 300, pp. 131590-131590
Closed Access
Integrating Neutrosophic Numbers in Regression Analysis for Enhancing Predictive Modelling through Uncertainty Representation
Maikel Leyva Vázquez, Lorenzo Cevallos-Torres
Deleted Journal (2024) Vol. 1, pp. 120-126
Open Access
Harnessing Conformal Updating for Enhanced Risk Prediction
Katerina Rigana, Ernst C. Wit, Samantha Cook
(2024)
Closed Access
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