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:

NOAA ProbSevere v2.0—ProbHail, ProbWind, and ProbTor
John L. Cintineo, Michael J. Pavolonis, Justin Sieglaff, et al.
Weather and Forecasting (2020) Vol. 35, Iss. 4, pp. 1523-1543
Closed Access | Times Cited: 23

Showing 23 citing articles:

A Machine Learning Tutorial for Operational Meteorology. Part I: Traditional Machine Learning
Randy J. Chase, David Harrison, Amanda Burke, et al.
Weather and Forecasting (2022) Vol. 37, Iss. 8, pp. 1509-1529
Open Access | Times Cited: 51

Quantitative Applications of Weather Satellite Data for Nowcasting: Progress and Challenges
Jun Li, Jing Zheng, Bo Li, et al.
Journal of Meteorological Research (2024) Vol. 38, Iss. 3, pp. 399-413
Closed Access | Times Cited: 4

An object‐based method to study the life cycle of mesoscale convective systems and their environment from cloud‐resolving AROME‐France simulations
Gabriel Arnould, Thibaut Montmerle, Lucie Rottner, et al.
Quarterly Journal of the Royal Meteorological Society (2025)
Closed Access

TG-Net: A Physically Interpretable Deep Learning Forecasting Model for Thunderstorm Gusts
Yunqing Liu, Yang Lu, Mingxuan Chen, et al.
Journal of Meteorological Research (2025) Vol. 39, Iss. 1, pp. 59-78
Closed Access

A Deep-Learning Model for Automated Detection of Intense Midlatitude Convection Using Geostationary Satellite Images
John L. Cintineo, Michael J. Pavolonis, Justin Sieglaff, et al.
Weather and Forecasting (2020) Vol. 35, Iss. 6, pp. 2567-2588
Closed Access | Times Cited: 31

Random Forest Model to Assess Predictor Importance and Nowcast Severe Storms using High-Resolution Radar–GOES Satellite–Lightning Observations
John R. Mecikalski, Thea N. Sandmæl, Elisa M. Murillo, et al.
Monthly Weather Review (2021)
Open Access | Times Cited: 25

Using Machine Learning to Generate Storm-Scale Probabilistic Guidance of Severe Weather Hazards in the Warn-on-Forecast System
Montgomery L. Flora, Corey K. Potvin, Patrick S. Skinner, et al.
Monthly Weather Review (2021) Vol. 149, Iss. 5, pp. 1535-1557
Open Access | Times Cited: 23

Statistical relevance of meteorological ambient conditions and cell attributes for nowcasting the life cycle of convective storms
Jannik Wilhelm, Kathrin Wapler, Ulrich Blahak, et al.
Quarterly Journal of the Royal Meteorological Society (2023) Vol. 149, Iss. 755, pp. 2252-2280
Open Access | Times Cited: 8

Comparing Tropopause‐Penetrating Convection Identifications Derived From NEXRAD and GOES Over the Contiguous United States
John W. Cooney, Kristopher M. Bedka, Kenneth P. Bowman, et al.
Journal of Geophysical Research Atmospheres (2021) Vol. 126, Iss. 14
Open Access | Times Cited: 19

Evaluating Convective Initiation in High-Resolution Numerical Weather Prediction Models Using GOES-16 Infrared Brightness Temperatures
David S. Henderson, Jason A. Otkin, John R. Mecikalski
Monthly Weather Review (2021) Vol. 149, Iss. 4, pp. 1153-1172
Closed Access | Times Cited: 17

A Framework to Predict Community Risk from Severe Weather Threats Using Probabilistic Hazard Information (PHI)
Jooho Kim, Patrick A. Campbell, Kristin M. Calhoun
Atmosphere (2023) Vol. 14, Iss. 5, pp. 767-767
Open Access | Times Cited: 3

Diagnosing Supercell Environments: A Machine Learning Approach
Stephen A. Shield, Adam L. Houston
Weather and Forecasting (2022) Vol. 37, Iss. 5, pp. 771-785
Closed Access | Times Cited: 5

Examining the Role of the Land Surface on Convection Using High‐Resolution Model Forecasts Over the Southeastern United States
David S. Henderson, Jason A. Otkin, John R. Mecikalski
Journal of Geophysical Research Atmospheres (2022) Vol. 127, Iss. 16
Open Access | Times Cited: 5

风云气象卫星观测在短时临近天气预报中的定量应用进展(特邀)
李俊 Li Jun, 郑婧 Zheng Jing, 闵敏 Min Min, et al.
Acta Optica Sinica (2024) Vol. 44, Iss. 18, pp. 1800002-1800002
Closed Access

Machine Learning in Earth System Science Applications Using Satellite Data
Sue Ellen Haupt
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2024), pp. 1284-1287
Closed Access

Exploring non-soluble particles in hailstones through innovative confocal laser and scanning electron microscopy techniques
Anthony C. Bernal Ayala, Angela K. Rowe, Lucía E. Arena, et al.
Atmospheric measurement techniques (2024) Vol. 17, Iss. 18, pp. 5561-5579
Open Access

Characterization of Reflectance Signatures Within Above Anvil Cirrus Plumes in GOES‐16 Infrared and Visible Imagery
Kelley M. Murphy, John R. Mecikalski, Kristopher M. Bedka, et al.
Journal of Geophysical Research Atmospheres (2024) Vol. 129, Iss. 23
Closed Access

An Enhanced Storm Warning and Nowcasting Model in Pre-Convection Environments
Zheng Ma, Zhenglong Li, Jun Li, et al.
Remote Sensing (2023) Vol. 15, Iss. 10, pp. 2672-2672
Open Access | Times Cited: 1

Advanced Baseline Imager Cloud-Top Trajectories and Properties of Electrified Snowfall Flash Initiation
Sebastian S. Harkema, Emily Berndt, John R. Mecikalski, et al.
Weather and Forecasting (2021)
Closed Access | Times Cited: 3

Scan-by-Scan Storm-Motion Deviations for Concurrent Tornadic and Nontornadic Supercells
Matthew J. Bunkers, Matthew B. Wilson, Matthew S. Van Den Broeke, et al.
Weather and Forecasting (2022) Vol. 37, Iss. 5, pp. 749-770
Open Access | Times Cited: 2

A scoring framework for tiered warnings and multicategorical forecasts based on fixed risk measures
Robert Taggart, Nicholas Loveday, Deryn Griffiths
Quarterly Journal of the Royal Meteorological Society (2022) Vol. 148, Iss. 744, pp. 1389-1406
Open Access | Times Cited: 1

Using the Supercell Polarimetric Observation Research Kit (SPORK) to Examine a Large Sample of Pretornadic and Nontornadic Supercells
Matthew B. Wilson, Matthew S. Van Den Broeke
E-Journal of Severe Storms Meteorology (2022) Vol. 17, Iss. 2, pp. 1-38
Open Access

An Objective Scoring Method for Evaluating the Comparative Performance of Automated Storm Identification and Tracking Algorithms
Clarice N. Satrio, Kristin M. Calhoun, Patrick A. Campbell, et al.
Weather and Forecasting (2022) Vol. 37, Iss. 11, pp. 2107-2121
Closed Access

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