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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:

Neural network attribution methods for problems in geoscience: A novel synthetic benchmark dataset
Antonios Mamalakis, Imme Ebert‐Uphoff, Elizabeth A. Barnes
Environmental Data Science (2022) Vol. 1
Open Access | Times Cited: 76

Showing 1-25 of 76 citing articles:

Data-driven predictions of the time remaining until critical global warming thresholds are reached
Noah S. Diffenbaugh, Elizabeth A. Barnes
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 6
Open Access | Times Cited: 111
Investigating the Fidelity of Explainable Artificial Intelligence Methods for Applications of Convolutional Neural Networks in Geoscience
Antonios Mamalakis, Elizabeth A. Barnes, Imme Ebert‐Uphoff
Artificial Intelligence for the Earth Systems (2022) Vol. 1, Iss. 4
Open Access | Times Cited: 66
Using an Explainable Machine Learning Approach to Characterize Earth System Model Errors: Application of SHAP Analysis to Modeling Lightning Flash Occurrence
Sam J. Silva, Christoph A. Keller, Joseph Hardin
Journal of Advances in Modeling Earth Systems (2022) Vol. 14, Iss. 4
Open Access | Times Cited: 44
Analysis, characterization, prediction, and attribution of extreme atmospheric events with machine learning and deep learning techniques: a review
Sancho Salcedo‐Sanz, Jorge Pérez‐Aracil, Guido Ascenso, et al.
Theoretical and Applied Climatology (2023) Vol. 155, Iss. 1, pp. 1-44
Open Access | Times Cited: 27
The challenges of integrating explainable artificial intelligence into GeoAI
Xing Jin, Renée Sieber
Transactions in GIS (2023) Vol. 27, Iss. 3, pp. 626-645
Open Access | Times Cited: 23
Artificial intelligence for climate prediction of extremes: State of the art, challenges, and future perspectives
Stefano Materia, Lluís Palma García, Chiem van Straaten, et al.
Wiley Interdisciplinary Reviews Climate Change (2024)
Open Access | Times Cited: 15
Oceanic Harbingers of Pacific Decadal Oscillation Predictability in CESM2 Detected by Neural Networks
Emily M. Gordon, Elizabeth A. Barnes, James W. Hurrell
Geophysical Research Letters (2021) Vol. 48, Iss. 21
Open Access | Times Cited: 43
Incorporating Uncertainty Into a Regression Neural Network Enables Identification of Decadal State‐Dependent Predictability in CESM2
Emily M. Gordon, Elizabeth A. Barnes
Geophysical Research Letters (2022) Vol. 49, Iss. 15
Open Access | Times Cited: 32
Explainable Artificial Intelligence for Bayesian Neural Networks: Toward Trustworthy Predictions of Ocean Dynamics
Mariana Clare, Maike Sonnewald, Redouane Lguensat, et al.
Journal of Advances in Modeling Earth Systems (2022) Vol. 14, Iss. 11
Open Access | Times Cited: 32
Predicting Slowdowns in Decadal Climate Warming Trends With Explainable Neural Networks
Zachary M. Labe, Elizabeth A. Barnes
Geophysical Research Letters (2022) Vol. 49, Iss. 9
Open Access | Times Cited: 29
Explainable Artificial Intelligence in Meteorology and Climate Science: Model Fine-Tuning, Calibrating Trust and Learning New Science
Antonios Mamalakis, Imme Ebert‐Uphoff, Elizabeth A. Barnes
Lecture notes in computer science (2022), pp. 315-339
Open Access | Times Cited: 29
Correcting Systematic and State‐Dependent Errors in the NOAA FV3‐GFS Using Neural Networks
Tse‐Chun Chen, Stephen G. Penny, Jeffrey S. Whitaker, et al.
Journal of Advances in Modeling Earth Systems (2022) Vol. 14, Iss. 11
Open Access | Times Cited: 28
Deep learning reveals moisture as the primary predictability source of MJO
Na-Yeon Shin, Daehyun Kim, Daehyun Kang, et al.
npj Climate and Atmospheric Science (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 7
Artificial Intelligence: A new era for spatial modelling and interpreting climate-induced hazard assessment
Abhirup Dikshit, Biswajeet Pradhan, S.S. Matin, et al.
Geoscience Frontiers (2024) Vol. 15, Iss. 4, pp. 101815-101815
Open Access | Times Cited: 6
Exploring the Landscape of Explainable Artificial Intelligence (XAI): A Systematic Review of Techniques and Applications
Sayda Umma Hamida, Mohammad Jabed Morshed Chowdhury, Narayan Ranjan Chakraborty, et al.
Big Data and Cognitive Computing (2024) Vol. 8, Iss. 11, pp. 149-149
Open Access | Times Cited: 6
Comparison of Climate Model Large Ensembles With Observations in the Arctic Using Simple Neural Networks
Zachary M. Labe, Elizabeth A. Barnes
Earth and Space Science (2022) Vol. 9, Iss. 7
Open Access | Times Cited: 23
Explainable deep learning for automatic rock classification
Dongyu Zheng, Hanting Zhong, Gustau Camps‐Valls, et al.
Computers & Geosciences (2023) Vol. 184, pp. 105511-105511
Closed Access | Times Cited: 15
Sea Surface Salinity Provides Subseasonal Predictability for Forecasts of Opportunity of U.S. Summertime Precipitation
Marybeth C. Arcodia, Elizabeth A. Barnes, Paul J. Durack, et al.
Journal of Geophysical Research Atmospheres (2025) Vol. 130, Iss. 6
Open Access
A Benchmark to Test Generalization Capabilities of Deep Learning Methods to Classify Severe Convective Storms in a Changing Climate
María J. Molina, David John Gagne, Andreas F. Prein
Earth and Space Science (2021) Vol. 8, Iss. 9
Open Access | Times Cited: 30
Detection of Forced Change Within Combined Climate Fields Using Explainable Neural Networks
Jamin K. Rader, Elizabeth A. Barnes, Imme Ebert‐Uphoff, et al.
Journal of Advances in Modeling Earth Systems (2022) Vol. 14, Iss. 7
Open Access | Times Cited: 21
Non‐Linear Dimensionality Reduction With a Variational Encoder Decoder to Understand Convective Processes in Climate Models
Gunnar Behrens, Tom Beucler, Pierre Gentine, et al.
Journal of Advances in Modeling Earth Systems (2022) Vol. 14, Iss. 8
Open Access | Times Cited: 20
Identifying the regional emergence of climate patterns in the ARISE-SAI-1.5 simulations
Zachary M. Labe, Elizabeth A. Barnes, James W. Hurrell
Environmental Research Letters (2023) Vol. 18, Iss. 4, pp. 044031-044031
Open Access | Times Cited: 12
Moving beyond post hoc explainable artificial intelligence: a perspective paper on lessons learned from dynamical climate modeling
Ryan O’Loughlin, Dan Li, Richard Neale, et al.
Geoscientific model development (2025) Vol. 18, Iss. 3, pp. 787-802
Open Access
Learning Propagators for Sea Surface Height Forecasts Using Koopman Autoencoders
Andrew Brettin, Laure Zanna, Elizabeth A. Barnes
Geophysical Research Letters (2025) Vol. 52, Iss. 4
Open Access
Forecasting of the Geomagnetic Activity for the Next 3 Days Utilizing Neural Networks Based on Parameters Related to Large‐Scale Structures of the Solar Corona
Tingyu Wang, Bingxian Luo, Jingjing Wang, et al.
Space Weather (2025) Vol. 23, Iss. 2
Open Access
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