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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:

Comparative analysis of discretization methods in Bayesian networks
Farnaz Nojavan A., Song S. Qian, Craig A. Stow
Environmental Modelling & Software (2016) Vol. 87, pp. 64-71
Closed Access | Times Cited: 119

Showing 1-25 of 119 citing articles:

Bayesian Networks in Environmental Risk Assessment: A Review
Laura Kaikkonen, Tuuli Parviainen, Mika Rahikainen, et al.
Integrated Environmental Assessment and Management (2020) Vol. 17, Iss. 1, pp. 62-78
Open Access | Times Cited: 192
Assessing mercury exposure to water and fish of the Mackenzie watershed using a Bayesian network analysis
Una Jermilova, Jane L. Kirk, S. Jannicke Moe, et al.
Integrated Environmental Assessment and Management (2025) Vol. 21, Iss. 2, pp. 396-413
Closed Access | Times Cited: 2
Machine learning for ecosystem services
Simon Willcock, Javier Martínez‐López, Danny A. P. Hooftman, et al.
Ecosystem Services (2018) Vol. 33, pp. 165-174
Open Access | Times Cited: 142
The role of phosphorus and nitrogen on chlorophyll a: Evidence from hundreds of lakes
Zhongyao Liang, Patricia A. Soranno, Tyler Wagner
Water Research (2020) Vol. 185, pp. 116236-116236
Open Access | Times Cited: 132
Evaluating statistical model performance in water quality prediction
Rodelyn Avila, Beverley Horn, Elaine Moriarty, et al.
Journal of Environmental Management (2017) Vol. 206, pp. 910-919
Closed Access | Times Cited: 111
Flood susceptibility assessment based on a novel random Naïve Bayes method: A comparison between different factor discretization methods
Xianzhe Tang, Jiufeng Li, Minnan Liu, et al.
CATENA (2020) Vol. 190, pp. 104536-104536
Closed Access | Times Cited: 101
Uncertainties in conditional probability tables of discrete Bayesian Belief Networks: A comprehensive review
Jérémy Rohmer
Engineering Applications of Artificial Intelligence (2019) Vol. 88, pp. 103384-103384
Open Access | Times Cited: 90
Energy consumption prediction of industrial HVAC systems using Bayesian Networks
Francesco Giuseppe Ciampi, Andrea Rega, Thierno Diallo, et al.
Energy and Buildings (2024) Vol. 309, pp. 114039-114039
Open Access | Times Cited: 13
A comparison of methods for discretizing continuous variables in Bayesian Networks
Tomas Beuzen, Lucy Marshall, Kristen D. Splinter
Environmental Modelling & Software (2018) Vol. 108, pp. 61-66
Closed Access | Times Cited: 72
A data-driven Bayesian Network model for oil spill occurrence prediction using tankship accidents
Coşkan Sevgili, Remzi Fışkın, Erkan Çakır
Journal of Cleaner Production (2022) Vol. 370, pp. 133478-133478
Closed Access | Times Cited: 34
Integration of weather conditions for predicting microbial water quality using Bayesian Belief Networks
Anjaneyulu Panidhapu, Ziyu Li, Atefeh Aliashrafi, et al.
Water Research (2019) Vol. 170, pp. 115349-115349
Closed Access | Times Cited: 50
Predicting Lake Quality for the Next Generation: Impacts of Catchment Management and Climatic Factors in a Probabilistic Model Framework
S. Jannicke Moe, Raoul‐Marie Couture, Sigrid Haande, et al.
Water (2019) Vol. 11, Iss. 9, pp. 1767-1767
Open Access | Times Cited: 47
Seasonal forecasting of lake water quality and algal bloom risk using a continuous Gaussian Bayesian network
Leah Jackson‐Blake, François Clayer, Sigrid Haande, et al.
Hydrology and earth system sciences (2022) Vol. 26, Iss. 12, pp. 3103-3124
Open Access | Times Cited: 25
Operationalizing a fisheries social-ecological system through a Bayesian belief network reveals hotspots for its adaptive capacity in the southern North sea
Maren Kruse, Jonas Letschert, Roland Cormier, et al.
Journal of Environmental Management (2024) Vol. 357, pp. 120685-120685
Open Access | Times Cited: 5
Depression recognition according to heart rate variability using Bayesian Networks
Danni Kuang, Rongqian Yang, Xiuwen Chen, et al.
Journal of Psychiatric Research (2017) Vol. 95, pp. 282-287
Closed Access | Times Cited: 45
Inferring Missing Climate Data for Agricultural Planning Using Bayesian Networks
Leonel Lara-Estrada, Livia Rasche, Luis Enrique Sucar, et al.
Land (2018) Vol. 7, Iss. 1, pp. 4-4
Open Access | Times Cited: 39
Use statistical machine learning to detect nutrient thresholds in Microcystis blooms and microcystin management
Kun Shan, Xiaoxiao Wang, Hong Yang, et al.
Harmful Algae (2020) Vol. 94, pp. 101807-101807
Open Access | Times Cited: 34
Optimized structure learning of Bayesian Network for investigating causation of vehicles’ on-road crashes
Tianyi Chen, Yiik Diew Wong, Xiupeng Shi, et al.
Reliability Engineering & System Safety (2022) Vol. 224, pp. 108527-108527
Closed Access | Times Cited: 21
Modeling the dynamic safety management of buildings adjacent to karst shield construction: An improved cloud Bayesian network
Hongyu Chen, Qiping Shen, Tiejun Li, et al.
Advanced Engineering Informatics (2023) Vol. 58, pp. 102192-102192
Closed Access | Times Cited: 12
Evaluating the effects of climate change and chemical, physical, and biological stressors on nearshore coral reefs: A case study in the Great Barrier Reef, Australia
Sophie Mentzel, Rory Nathan, Pamela D. Noyes, et al.
Integrated Environmental Assessment and Management (2023) Vol. 20, Iss. 2, pp. 401-418
Open Access | Times Cited: 12
Conditional probability table limit-based quantization for Bayesian networks: model quality, data fidelity and structure score
Rafael Rodrigues Mendes Ribeiro, Jordão Natal, Cassio P. de Campos, et al.
Applied Intelligence (2024) Vol. 54, Iss. 6, pp. 4668-4688
Open Access | Times Cited: 4
A Condition-Informed Dynamic Bayesian Network framework to Support Severe Accident Management in Nuclear Power Plants
Giovanni Roma, Francesco Di Maio, Enrico Zio
Reliability Engineering & System Safety (2024) Vol. 252, pp. 110437-110437
Open Access | Times Cited: 4
Probabilistic risk assessment of pesticides under future agricultural and climate scenarios using a bayesian network
Sophie Mentzel, Merete Grung, Roger Holten, et al.
Frontiers in Environmental Science (2022) Vol. 10
Open Access | Times Cited: 18
Failure assessment of oil and gas transmission pipelines using an integrated Bayesian belief network and GIS model
Haile Woldesellasse, Solomon Tesfamariam
International Journal of Pressure Vessels and Piping (2023) Vol. 205, pp. 104984-104984
Closed Access | Times Cited: 10
Quantitative analysis of uncertainty in field data and calibration method for estimating life distribution parameters
Keming Yang, Dooyoul Lee
Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability (2025)
Closed Access
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