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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:

Deep Uncertainty Quantification
Bin Wang, Jie Lü, Zheng Yan, et al.
(2019), pp. 2087-2095
Open Access | Times Cited: 103

Showing 1-25 of 103 citing articles:

A survey on deep learning methods for power load and renewable energy forecasting in smart microgrids
Sheraz Aslam, Herodotos Herodotou, Syed Muhammad Mohsin, et al.
Renewable and Sustainable Energy Reviews (2021) Vol. 144, pp. 110992-110992
Closed Access | Times Cited: 411
An LSTM-based aggregated model for air pollution forecasting
Yue‐Shan Chang, Hsin‐Ta Chiao, Satheesh Abimannan, et al.
Atmospheric Pollution Research (2020) Vol. 11, Iss. 8, pp. 1451-1463
Open Access | Times Cited: 274
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
Moloud Abdar, Farhad Pourpanah, Sadiq Hussain, et al.
Information Fusion (2021) Vol. 76, pp. 243-297
Open Access | Times Cited: 257
Deep Learning-Based Weather Prediction: A Survey
Xiaoli Ren, Xiaoyong Li, Kaijun Ren, et al.
Big Data Research (2020) Vol. 23, pp. 100178-100178
Closed Access | Times Cited: 166
Modular machine learning-based elastoplasticity: Generalization in the context of limited data
Jan N. Fuhg, Craig M. Hamel, Kyle Johnson, et al.
Computer Methods in Applied Mechanics and Engineering (2023) Vol. 407, pp. 115930-115930
Open Access | Times Cited: 44
Artificial Intelligence Revolutionises Weather Forecast, Climate Monitoring and Decadal Prediction
Steven Dewitte, Jan Cornelis, Richard Müller, et al.
Remote Sensing (2021) Vol. 13, Iss. 16, pp. 3209-3209
Open Access | Times Cited: 89
ECMWF short-term prediction accuracy improvement by deep learning
Jaroslav Frnda, Marek Ďurica, Jan Rozhon, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 47
Multiscale modeling in smart cities: A survey on applications, current trends, and challenges
Asif Khan, Sheraz Aslam, Khursheed Aurangzeb, et al.
Sustainable Cities and Society (2021) Vol. 78, pp. 103517-103517
Open Access | Times Cited: 53
Exploring the influence of urban context on building energy retrofit performance: A hybrid simulation and data-driven approach
Alex Nutkiewicz, Benjamin Choi, Rishee K. Jain
Advances in Applied Energy (2021) Vol. 3, pp. 100038-100038
Open Access | Times Cited: 50
Short-Term Weather Forecasting Using Spatial Feature Attention Based LSTM Model
Masooma Ali Raza Suleman, S. Shridevi
IEEE Access (2022) Vol. 10, pp. 82456-82468
Open Access | Times Cited: 38
A multi-scale time-series dataset with benchmark for machine learning in decarbonized energy grids
Xiangtian Zheng, Nan Xu, Loc Trinh, et al.
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 34
The need for quantification of uncertainty in artificial intelligence for clinical data analysis: increasing the level of trust in the decision-making process
Moloud Abdar, Abbas Khosravi, Sheikh Mohammed Shariful Islam, et al.
IEEE Systems Man and Cybernetics Magazine (2022) Vol. 8, Iss. 3, pp. 28-40
Closed Access | Times Cited: 31
Quantifying Uncertainty in Deep Spatiotemporal Forecasting
Dongxia Wu, Liyao Gao, Matteo Chinazzi, et al.
(2021), pp. 1841-1851
Open Access | Times Cited: 39
Kill Two Birds With One Stone: A Multi-View Multi-Adversarial Learning Approach for Joint Air Quality and Weather Prediction
Jindong Han, Hao Liu, Hengshu Zhu, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 35, Iss. 11, pp. 11515-11528
Closed Access | Times Cited: 16
A Modified RNN-Based Deep Learning Method for Prediction of Atmospheric Visibility
Zengliang Zang, Xulun Bao, Yi Li, et al.
Remote Sensing (2023) Vol. 15, Iss. 3, pp. 553-553
Open Access | Times Cited: 14
DeepWind: a heterogeneous spatio-temporal model for wind forecasting
Bin Wang, Junrui Shi, Binyu Tan, et al.
Knowledge-Based Systems (2024) Vol. 286, pp. 111385-111385
Closed Access | Times Cited: 6
AiCareAir: Hybrid-Ensemble Internet-of-Things Sensing Unit Model for Air Pollutant Control
Jintu Borah, Mohd Shahrul Mohd Nadzir, Mylene G. Cayetano, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 13, pp. 21558-21565
Closed Access | Times Cited: 6
Urban flow pattern mining based on multi-source heterogeneous data fusion and knowledge graph embedding
Jia Liu, Tianrui Li, Shenggong Ji, et al.
IEEE Transactions on Knowledge and Data Engineering (2021), pp. 1-1
Closed Access | Times Cited: 32
A deep learning framework for lightning forecasting with multi‐source spatiotemporal data
Yangli‐ao Geng, Qingyong Li, Tianyang Lin, et al.
Quarterly Journal of the Royal Meteorological Society (2021) Vol. 147, Iss. 741, pp. 4048-4062
Closed Access | Times Cited: 31
A Machine-Learning Approach Combining Wavelet Packet Denoising with Catboost for Weather Forecasting
Dan Niu, Li Diao, Zengliang Zang, et al.
Atmosphere (2021) Vol. 12, Iss. 12, pp. 1618-1618
Open Access | Times Cited: 31
Real-Time Prediction System of Train Carriage Load Based on Multi-Stream Fuzzy Learning
Hang Yu, Jie Lü, Anjin Liu, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 9, pp. 15155-15165
Closed Access | Times Cited: 22
Spatio temporal hydrological extreme forecasting framework using LSTM deep learning model
Anshuka Anshuka, Rohitash Chandra, Alexander Buzacott, et al.
Stochastic Environmental Research and Risk Assessment (2022) Vol. 36, Iss. 10, pp. 3467-3485
Open Access | Times Cited: 20
AiCareBreath: IoT-Enabled Location-Invariant Novel Unified Model for Predicting Air Pollutants to Avoid Related Respiratory Disease
Jintu Borah, Shashank Kumar, Nikhil Kumar, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 8, pp. 14625-14633
Closed Access | Times Cited: 12
Real-Time Evaluation of the Uncertainty in Weather Forecasts Through Machine Learning-Based Models
Carmen Calvo-Olivera, Ángel Manuel Guerrero‐Higueras, Jesús Lorenzana, et al.
Water Resources Management (2024) Vol. 38, Iss. 7, pp. 2455-2470
Open Access | Times Cited: 4
Bayesian autoencoders for data-driven discovery of coordinates, governing equations and fundamental constants
Liyao Gao, J. Nathan Kutz
Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences (2024) Vol. 480, Iss. 2286
Open Access | Times Cited: 4
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