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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:

Leakage diagnosis and localization of the gas extraction pipeline based on SA-PSO BP neural network
Jie Zhou, Haifei Lin, Shugang Li, et al.
Reliability Engineering & System Safety (2022) Vol. 232, pp. 109051-109051
Closed Access | Times Cited: 40

Showing 26-50 of 40 citing articles:

Advanced VTSDREF for vehicle-turnout system dynamic reliability analysis: integration of hybrid deep learning and adaptive probability density evolution method
Xueyang Tang, Xiaopei Cai, Yuqi Wang, et al.
Reliability Engineering & System Safety (2024), pp. 110762-110762
Closed Access | Times Cited: 2
Effects of multiple hydraulic punching for ultra-deep buried high ground stress powdered coal seam with low permeability
Zekun Cao, Bailin Zhang, Runxu Zhang, et al.
Journal of Dispersion Science and Technology (2024), pp. 1-15
Closed Access | Times Cited: 1
Predicting leak aperture in the pipeline of ultra-long coal mine working faces under strong noise interference based on joint denoising and random forest
Qiang Zhang, Yang Wang, Long Feng, et al.
Flow Measurement and Instrumentation (2024) Vol. 97, pp. 102609-102609
Closed Access | Times Cited: 1
Damage identification and failure characterization of plywood based on AE-BP Model
Jia Liu, Manxuan Feng, Xianggui Zhang, et al.
European Journal of Wood and Wood Products (2024) Vol. 82, Iss. 5, pp. 1615-1635
Closed Access | Times Cited: 1
Underground Concrete Pipe Crack Damage Monitoring by the Fuzzy Analysis of Microseism
Kai Tao, Yaoxin Jiang
Measurement Science and Technology (2024) Vol. 35, Iss. 12, pp. 126122-126122
Closed Access | Times Cited: 1
A Novel Fractional Model and Its Application in Network Security Situation Assessment
Ruixiao Huang, Yi‐Fei Pu
Fractal and Fractional (2024) Vol. 8, Iss. 10, pp. 550-550
Open Access | Times Cited: 1
A data-driven approach for jet fire prediction of hydrogen blended natural gas pipelines
Shuo Zhang, Yingbin Cao, Jiali Tang, et al.
Reliability Engineering & System Safety (2024), pp. 110748-110748
Closed Access | Times Cited: 1
A New Belief Rule Base Model With Uncertainty Parameters
Yunyi Zhang, Ye Du, Wei He, et al.
Reliability Engineering & System Safety (2024) Vol. 256, pp. 110796-110796
Closed Access | Times Cited: 1
Water distribution pipe lifespans: Predicting when to repair the pipes in municipal water distribution networks using machine learning techniques
Nacer Farajzadeh, Nima Sadeghzadeh, Nastaran Jokar
PLOS Water (2024) Vol. 3, Iss. 1, pp. e0000164-e0000164
Open Access
Seepage Damage Assessment of Rock by the Hellinger-TOPSIS-optimized Entropy of Microseism
Kai Tao, Mingxing Xu, Yi Wu, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 13, pp. 21074-21081
Closed Access
A Review of Deformations Prediction for Oil and Gas Pipelines Using Machine and Deep Learning
Bruno Macedo, Tales Humberto de Aquino Boratto, Camila Martins Saporetti, et al.
Studies in systems, decision and control (2024), pp. 289-317
Closed Access
Source identification of water distribution system contamination based on simulated annealing–particle swarm optimization algorithm
Zhenliang Liao, XuDong Shi, Yilan Liao, et al.
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 12
Closed Access
ASSA-VMD-SI and Frechet method of pipe vibration for noise reduction and leakage identification
Kai Tao, Mingxing Xu, Qiang Wang
Measurement (2024), pp. 116277-116277
Closed Access
Data-driven source term estimation of hazardous gas leakages under variable meteorological conditions
Chuantao Ni, Zi–Qiang Lang, Bing Wang, et al.
Journal of Loss Prevention in the Process Industries (2024) Vol. 94, pp. 105506-105506
Closed Access
Study on the design of unattended SCRS full-condition adaptive bypass flow systems
Bowen Zhang, Yizhuo Li, Haihong Zhu, et al.
Nuclear Engineering and Design (2024) Vol. 432, pp. 113768-113768
Closed Access
Research on Multi-Algorithm Fusion Technology Based on Machine Learning in Pipeline Leakage Detection
Yuan Liu, Wenhao Xie, Qiao Guo, et al.
(2024)
Closed Access
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