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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:

Bayesreef: A Bayesian inference framework for modelling reef growth in response to environmental change and biological dynamics
Jodie Pall, Rohitash Chandra, Danial Azam, et al.
Environmental Modelling & Software (2020) Vol. 125, pp. 104610-104610
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Deep learning via LSTM models for COVID-19 infection forecasting in India
Rohitash Chandra, Ayush Jain, Divyanshu Chauhan
PLoS ONE (2022) Vol. 17, Iss. 1, pp. e0262708-e0262708
Open Access | Times Cited: 149
DeepGR4J: A deep learning hybridization approach for conceptual rainfall-runoff modelling
Arpit Kapoor, Sahani Pathiraja, Lucy Marshall, et al.
Environmental Modelling & Software (2023) Vol. 169, pp. 105831-105831
Open Access | Times Cited: 46
Bayesian geological and geophysical data fusion for the construction and uncertainty quantification of 3D geological models
Hugo K.H. Olierook, R. Scalzo, David Kohn, et al.
Geoscience Frontiers (2020) Vol. 12, Iss. 1, pp. 479-493
Open Access | Times Cited: 59
Bayesian Neural Networks via MCMC: A Python-Based Tutorial
Rohitash Chandra, Joshua A. Simmons
IEEE Access (2024) Vol. 12, pp. 70519-70549
Open Access | Times Cited: 7
Precipitation reconstruction from climate-sensitive lithologies using Bayesian machine learning
Rohitash Chandra, Sally Cripps, N. P. Butterworth, et al.
Environmental Modelling & Software (2021) Vol. 139, pp. 105002-105002
Closed Access | Times Cited: 33
Cyclone trajectory and intensity prediction with uncertainty quantification using variational recurrent neural networks
Arpit Kapoor, Anshul Negi, Lucy Marshall, et al.
Environmental Modelling & Software (2023) Vol. 162, pp. 105654-105654
Open Access | Times Cited: 14
Predicting Responses of Geo-ecological Carbonate Reef Systems to Climate Change: A Conceptual Model and Review
Nicola K. Browne, Michael V. W. Cuttler, Katie Moon, et al.
CRC Press eBooks (2021), pp. 229-370
Open Access | Times Cited: 32
Tropical Cyclone Trajectory Prediction with Integration of Shallow Convolutional Layer and Bi-LSTM
Keliang Wu, Bin Zhao, Yujie Yang, et al.
Applied and Computational Engineering (2025) Vol. 132, Iss. 1, pp. 70-82
Closed Access
Distributed Bayesian optimisation framework for deep neuroevolution
Rohitash Chandra, Animesh Tiwari
Neurocomputing (2021) Vol. 470, pp. 51-65
Closed Access | Times Cited: 15
Reef-Insight: A Framework for Reef Habitat Mapping with Clustering Methods Using Remote Sensing
Saharsh Barve, Jody M. Webster, Rohitash Chandra
Information (2023) Vol. 14, Iss. 7, pp. 373-373
Open Access | Times Cited: 6
Surrogate-assisted Bayesian inversion for landscape and basin evolution models
Rohitash Chandra, Danial Azam, Arpit Kapoor, et al.
Geoscientific model development (2020) Vol. 13, Iss. 7, pp. 2959-2979
Open Access | Times Cited: 14
Bayesian neuroevolution using distributed swarm optimization and tempered MCMC
Arpit Kapoor, Eshwar Nukala, Rohitash Chandra
Applied Soft Computing (2022) Vol. 129, pp. 109528-109528
Closed Access | Times Cited: 8
Effective Application of Geological Process Modeling for Unravelling Carbonate Build-up Complexity: A Case Study from the EX-Carbonate Build-Up in Central Luconia Province, Malaysia
Grisel Jiménez Soto, Abdul Halim Abdul Latiff, Wael Ben Habel, et al.
Marine and Petroleum Geology (2024), pp. 107117-107117
Closed Access | Times Cited: 1
Coral Reef Surveillance with Machine Learning: A Review of Datasets, Techniques, and Challenges
Abdullahi Chowdhury, M. Ishrat Jahan, Shahriar Kaisar, et al.
Electronics (2024) Vol. 13, Iss. 24, pp. 5027-5027
Open Access | Times Cited: 1
Surrogate-assisted parallel tempering for Bayesian neural learning
Rohitash Chandra, Konark Jain, Arpit Kapoor, et al.
Engineering Applications of Artificial Intelligence (2020) Vol. 94, pp. 103700-103700
Open Access | Times Cited: 9
Refining patterns of melt with forward stratigraphic models of stable Pleistocene coastlines
Patrick Boyden, Paolo Stocchi, Alessio Rovere
Earth Surface Dynamics (2023) Vol. 11, Iss. 5, pp. 917-931
Open Access | Times Cited: 3
Bayesian geological and geophysical data fusion for the construction and uncertainty quantification of 3D geological models
Hugo K.H. Olierook, R. Scalzo, David Kohn, et al.
(2019)
Open Access | Times Cited: 6
The Formation of Atolls: New Insights From Numerical Simulations
Jinlong Liu, Jody M. Webster, Tristan Salles, et al.
Journal of Geophysical Research Earth Surface (2022) Vol. 127, Iss. 8
Closed Access | Times Cited: 4
Refining patterns of melt with forward stratigraphic models on stable Pleistocene coastlines
Patrick Boyden, Paolo Stocchi, Alessio Rovere
(2023)
Open Access | Times Cited: 2
Investigating the role of differential biotic production on carbonate geometries through stratigraphic forward modelling and sensitivity analysis: the Llucmajor example
Timothy Tella, Gerd Winterleitner, Maria Mutti
Petroleum Geoscience (2022) Vol. 28, Iss. 2
Closed Access | Times Cited: 3
Bayesian neural networks via MCMC: a Python-based tutorial
Rohitash Chandra, Royce Chen, Joshua A. Simmons
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
Comment on egusphere-2023-95
Gino de Gelder
(2023)
Open Access
Comment on egusphere-2023-95
Georgia Grant
(2023)
Open Access
Response to Reviewer Comments for “Refining patterns of melt with forward stratigraphic models on stable Pleistocene coastlines” (egusphere-2023-95)
Patrick Boyden
(2023)
Open Access
Solution of a model for pricing options with hedging strategy through Nonlinear Filters
Luis Sánchez, Freddy Sanchez P, Freddy Sanchez A, et al.
Statistics Optimization & Information Computing (2023) Vol. 12, Iss. 1, pp. 34-44
Open Access
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