Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Learning Bayesian network parameters from small data sets: application of Noisy-OR gates
Agnieszka Oniśko, Marek J. Drużdżel, Hanna Wasyluk
International Journal of Approximate Reasoning (2001) Vol. 27, Iss. 2, pp. 165-182
Closed Access | Times Cited: 304

Showing 1-25 of 304 citing articles:

A Deep Learning System to Screen Novel Coronavirus Disease 2019 Pneumonia
Xiaowei Xu, Xiangao Jiang, Chunlian Ma, et al.
Engineering (2020) Vol. 6, Iss. 10, pp. 1122-1129
Open Access | Times Cited: 726
Evaluate the Malignancy of Pulmonary Nodules Using the 3-D Deep Leaky Noisy-OR Network
Fangzhou Liao, Ming Liang, Zhe Li, et al.
IEEE Transactions on Neural Networks and Learning Systems (2019) Vol. 30, Iss. 11, pp. 3484-3495
Open Access | Times Cited: 455
Improving the accuracy of medical diagnosis with causal machine learning
Jonathan G. Richens, Ciarán M. Lee, Saurabh Johri
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 429
Learning a Health Knowledge Graph from Electronic Medical Records
Maya Rotmensch, Yoni Halpern, Abdulhakim Tlimat, et al.
Scientific Reports (2017) Vol. 7, Iss. 1
Open Access | Times Cited: 380
A Bayesian network decision model for supporting the diagnosis of dementia, Alzheimer׳s disease and mild cognitive impairment
Flávio Luiz Seixas, Bianca Zadrozny, Jerson Laks, et al.
Computers in Biology and Medicine (2014) Vol. 51, pp. 140-158
Open Access | Times Cited: 195
Towards a Fuzzy Bayesian Network Based Approach for Safety Risk Analysis of Tunnel‐Induced Pipeline Damage
Limao Zhang, Xianguo Wu, Yawei Qin, et al.
Risk Analysis (2015) Vol. 36, Iss. 2, pp. 278-301
Closed Access | Times Cited: 177
Realising advanced risk-based port state control inspection using data-driven Bayesian networks
Zhisen Yang, Zaili Yang, Jingbo Yin
Transportation Research Part A Policy and Practice (2018) Vol. 110, pp. 38-56
Open Access | Times Cited: 176
Risk assessment of marine accidents with Fuzzy Bayesian Networks and causal analysis
Peiru Chen, Zhipeng Zhang, Yujie Huang, et al.
Ocean & Coastal Management (2022) Vol. 228, pp. 106323-106323
Closed Access | Times Cited: 71
Integration of MIMAH and Fuzzy Bayesian Networks for risk analysis in chemical tanker loading operations
Cenk Ay
Journal of Marine Engineering & Technology (2025), pp. 1-19
Closed Access | Times Cited: 1
A dynamic Bayesian network based approach to safety decision support in tunnel construction
Xianguo Wu, Huitao Liu, Limao Zhang, et al.
Reliability Engineering & System Safety (2014) Vol. 134, pp. 157-168
Closed Access | Times Cited: 163
Machine learning to detect signatures of disease in liquid biopsies – a user's guide
Jina Ko, Steven N. Baldassano, Po‐Ling Loh, et al.
Lab on a Chip (2017) Vol. 18, Iss. 3, pp. 395-405
Open Access | Times Cited: 129
Assessing the Physical Impact of Cyberattacks on Industrial Cyber-Physical Systems
Kaixing Huang, Chunjie Zhou, Yu‐Chu Tian, et al.
IEEE Transactions on Industrial Electronics (2018) Vol. 65, Iss. 10, pp. 8153-8162
Open Access | Times Cited: 117
Rationality evaluation of production deployment of outburst-prone coal mines: A case study of nantong coal mine in Chongqing, China
Quanle Zou, Han Liu, Yongjiang Zhang, et al.
Safety Science (2019) Vol. 122, pp. 104515-104515
Closed Access | Times Cited: 110
A Bayesian network model for prediction of weather-related failures in railway turnout systems
Guang Wang, Tianhua Xu, Tao Tang, et al.
Expert Systems with Applications (2016) Vol. 69, pp. 247-256
Closed Access | Times Cited: 109
Modeling risks in dependent systems: A Copula-Bayesian approach
Yue Pan, Shenwei Ou, Limao Zhang, et al.
Reliability Engineering & System Safety (2019) Vol. 188, pp. 416-431
Closed Access | Times Cited: 97
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: 87
Bayesian Stochastic Petri Nets (BSPN) - A new modelling tool for dynamic safety and reliability analysis
Mohammed Taleb‐Berrouane, Faisal Khan, Paul Amyotte
Reliability Engineering & System Safety (2019) Vol. 193, pp. 106587-106587
Closed Access | Times Cited: 81
Process system failure evaluation method based on a Noisy-OR gate intuitionistic fuzzy Bayesian network in an uncertain environment
YU Jian-xing, Shibo Wu, Yang Yu, et al.
Process Safety and Environmental Protection (2021) Vol. 150, pp. 281-297
Closed Access | Times Cited: 60
Human and organizational failures analysis in process industries using FBN-HFACS model: Learning from a toxic gas leakage accident
Fakhradin Ghasemi, Kamran Gholamizadeh, Amirhasan Farjadnia, et al.
Journal of Loss Prevention in the Process Industries (2022) Vol. 78, pp. 104823-104823
Closed Access | Times Cited: 37
Risk analysis methodology using STPA-based Bayesian network- applied to remote pilotage operation
Sunil Basnet, Ahmad BahooToroody, Meriam Chaal, et al.
Ocean Engineering (2023) Vol. 270, pp. 113569-113569
Open Access | Times Cited: 35
Integrating FBN and FDS for quantitative risk assessment of cable fire in utility tunnel
Xiaoping Zhu, Jiansong Wu, Yiping Bai, et al.
Journal of Loss Prevention in the Process Industries (2024) Vol. 88, pp. 105266-105266
Closed Access | Times Cited: 13
Decision support analysis for safety control in complex project environments based on Bayesian Networks
Limao Zhang, Xianguo Wu, Lieyun Ding, et al.
Expert Systems with Applications (2012) Vol. 40, Iss. 11, pp. 4273-4282
Closed Access | Times Cited: 99
Knowledge Engineering for Bayesian Networks: How Common Are Noisy-MAX Distributions in Practice?
Adam Zagorecki, Marek J. Drużdżel
IEEE Transactions on Systems Man and Cybernetics Systems (2012) Vol. 43, Iss. 1, pp. 186-195
Closed Access | Times Cited: 78
Participatory modelling for stakeholder involvement in the development of flood risk management intervention options
Shaun Maskrey, Nick J. Mount, Colin R. Thorne, et al.
Environmental Modelling & Software (2016) Vol. 82, pp. 275-294
Open Access | Times Cited: 78
A knowledge-based expert system to assess power plant project cost overrun risks
Muhammad Saiful Islam, Madhav Nepal, Martin Skitmore, et al.
Expert Systems with Applications (2019) Vol. 136, pp. 12-32
Closed Access | Times Cited: 69
Page 1 - Next Page

Scroll to top