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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:

Robustness of CMIP6 Historical Global Mean Temperature Simulations: Trends, Long‐Term Persistence, Autocorrelation, and Distributional Shape
Simon Michael Papalexiou, Chandra Rupa Rajulapati, Martyn Clark, et al.
Earth s Future (2020) Vol. 8, Iss. 10
Open Access | Times Cited: 95

Showing 1-25 of 95 citing articles:

CMIP6 Simulations With the CMCC Earth System Model (CMCC‐ESM2)
Tomas Lovato, Daniele Peano, Momme Butenschön, et al.
Journal of Advances in Modeling Earth Systems (2022) Vol. 14, Iss. 3
Open Access | Times Cited: 298
Selecting CMIP6 GCMs for CORDEX Dynamical Downscaling: Model Performance, Independence, and Climate Change Signals
Giovanni Di Virgilio, Fei Ji, Eugene Tam, et al.
Earth s Future (2022) Vol. 10, Iss. 4
Open Access | Times Cited: 98
Greatly enhanced risk to humans as a consequence of empirically determined lower moist heat stress tolerance
Daniel J. Vecellio, Qinqin Kong, W. Larry Kenney, et al.
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 42
Open Access | Times Cited: 49
Global Observations and CMIP6 Simulations of Compound Extremes of Monthly Temperature and Precipitation
Yi Wu, Chiyuan Miao, Ying Sun, et al.
GeoHealth (2021) Vol. 5, Iss. 5
Open Access | Times Cited: 87
Quantifying the Uncertainty Sources of Future Climate Projections and Narrowing Uncertainties With Bias Correction Techniques
Yi Wu, Chiyuan Miao, Xuewei Fan, et al.
Earth s Future (2022) Vol. 10, Iss. 11
Open Access | Times Cited: 70
Different climate response persistence causes warming trend unevenness at continental scales
Qingxiang Li, Bosi Sheng, Jiaying Huang, et al.
Nature Climate Change (2022) Vol. 12, Iss. 4, pp. 343-349
Closed Access | Times Cited: 44
CMIP5 and CMIP6 Model Projection Comparison for Hydrological Impacts Over North America
Jean‐Luc Martel, François Brissette, Magali Troin, et al.
Geophysical Research Letters (2022) Vol. 49, Iss. 15
Open Access | Times Cited: 44
Identifying and ranking of CMIP6-global climate models for projected changes in temperature over Indian subcontinent
Abdul Malek Abdul Rahman, Sreeja Pekkat
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 14
Systematic and objective evaluation of Earth system models: PCMDI Metrics Package (PMP) version 3
Jiwoo Lee, Peter J. Gleckler, Min‐Seop Ahn, et al.
Geoscientific model development (2024) Vol. 17, Iss. 9, pp. 3919-3948
Open Access | Times Cited: 12
Obtaining refined Euro-Mediterranean rainfall projections through regional assessment of CMIP6 General Circulation Models
Giovanni-Breogán Ferreiro-Lera, Ángel Penas, Sara del Río
Global and Planetary Change (2025), pp. 104725-104725
Closed Access | Times Cited: 1
Comparisons Between CMIP5 and CMIP6 Models: Simulations of Climate Indices Influencing Food Security, Infrastructure Resilience, and Human Health in Canada
Sarah‐Claude Bourdeau‐Goulet, Elmira Hassanzadeh
Earth s Future (2021) Vol. 9, Iss. 5
Closed Access | Times Cited: 55
Multi-Model Forecast Quality Assessment of CMIP6 Decadal Predictions
Carlos Delgado‐Torres, Markus G. Donat, Nube González-Reviriego, et al.
Journal of Climate (2022) Vol. 35, Iss. 13, pp. 4363-4382
Open Access | Times Cited: 33
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
Performance evaluation and ranking of CMIP6 global climate models over Vietnam
Tung Nguyen‐Duy, Thanh Ngo‐Duc, Quentin Desmet
Journal of Water and Climate Change (2023) Vol. 14, Iss. 6, pp. 1831-1846
Open Access | Times Cited: 20
Precipitation Bias Correction: A Novel Semi‐parametric Quantile Mapping Method
Chandra Rupa Rajulapati, Simon Michael Papalexiou
Earth and Space Science (2023) Vol. 10, Iss. 4
Open Access | Times Cited: 19
Past and future of the Arctic sea ice in High-Resolution Model Intercomparison Project (HighResMIP) climate models
Julia Selivanova, Doroteaciro Iovino, Francesco Cocetta
˜The œcryosphere (2024) Vol. 18, Iss. 6, pp. 2739-2763
Open Access | Times Cited: 8
Less than 4% of dryland areas are projected to desertify despite increased aridity under climate change
Xinyue Zhang, Jason P. Evans, Arden Burrell
Communications Earth & Environment (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 7
Projected Land Evaporation and Its Response to Vegetation Greening Over China Under Multiple Scenarios in the CMIP6 Models
Jiao Lu, Guojie Wang, Shijie Li, et al.
Journal of Geophysical Research Biogeosciences (2021) Vol. 126, Iss. 9
Closed Access | Times Cited: 31
Climate Model Projections for Canada: A Comparison of CMIP5 and CMIP6
Stephen R. Sobie, Francis W. Zwiers, Charles L. Curry
ATMOSPHERE-OCEAN (2021) Vol. 59, Iss. 4-5, pp. 269-284
Open Access | Times Cited: 29
Probabilistic Evaluation of Drought in CMIP6 Simulations
Simon Michael Papalexiou, Chandra Rupa Rajulapati, Konstantinos M. Andreadis, et al.
Earth s Future (2021) Vol. 9, Iss. 10
Open Access | Times Cited: 28
Evaluation of global teleconnections in CMIP6 climate projections using complex networks
Clementine Dalelane, Kristina Winderlich, Andreas Walter
Earth System Dynamics (2023) Vol. 14, Iss. 1, pp. 17-37
Open Access | Times Cited: 13
The need for carbon emissions-driven climate projections in CMIP7
Benjamin M. Sanderson, Ben Booth, John P. Dunne, et al.
(2023)
Open Access | Times Cited: 13
Constrained tropical land temperature-precipitation sensitivity reveals decreasing evapotranspiration and faster vegetation greening in CMIP6 projections
Boyuan Zhu, Yongzhou Cheng, Xuyue Hu, et al.
npj Climate and Atmospheric Science (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 12
Toward Spatio‐Temporally Consistent Multi‐Site Fire Danger Downscaling With Explainable Deep Learning
Óscar Mirones, Jorge Baño‐Medina, Swen Brands, et al.
Journal of Geophysical Research Machine Learning and Computation (2025) Vol. 2, Iss. 1
Open Access
Spatial and temporal dependence in distribution‐based evaluation of CMIP6 daily maximum temperatures
Mala Virdee, Ieva Kazlauskaite, Emma Boland, et al.
Atmospheric Science Letters (2025) Vol. 26, Iss. 2
Open Access
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