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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:

Solid particle erosion prediction in elbows based on machine learning and swarm intelligence algorithm
Zhiguo Wang, Haoyu Chen, Meng Wang, et al.
Journal of Petroleum Science and Engineering (2022) Vol. 218, pp. 111042-111042
Closed Access | Times Cited: 17

Showing 17 citing articles:

Hydraulic conveying characteristics of particles in bend based on numerical simulation and explainable stacking machine learning model
Shengpeng Xiao, Chuyi Wan, Dai Zhou, et al.
Physics of Fluids (2024) Vol. 36, Iss. 2
Open Access | Times Cited: 10
Study on multi-factor casing damage prediction method based on machine learning
Fuli Li, Wei Yan, Xianyong Kong, et al.
Energy (2024) Vol. 296, pp. 131044-131044
Closed Access | Times Cited: 6
Study on the erosion performance of high-pressure double elbow based on experiment and numerical simulation
Siwei Dai, Jianchun Fan, Jie Li, et al.
Tribology International (2023) Vol. 187, pp. 108671-108671
Closed Access | Times Cited: 14
Enhanced monthly streamflow prediction using an input–output bi-decomposition data driven model considering meteorological and climate information
Qiucen Guo, Xuehua Zhao, Yuhang Zhao, et al.
Stochastic Environmental Research and Risk Assessment (2024) Vol. 38, Iss. 8, pp. 3059-3077
Closed Access | Times Cited: 5
A novel AI-driven model for erosion prediction for elbow in gas-solid two-phase flows
Haoyu Chen, Hai Huang, Ran Wei, et al.
Wear (2024) Vol. 540-541, pp. 205241-205241
Closed Access | Times Cited: 4
A high-precision and interpretable prediction method of the gas–solid erosion rate in elbows based on hybrid mechanism-data-driven models
Xiao Cen, Bingyuan Hong, Yuxiang Yang, et al.
Measurement (2025), pp. 117251-117251
Closed Access
The fusion of deep learning and acoustic emission response methods for identifying solid particles in annular multiphase flows
Kai Wang, Ziang Chang, Yichen Li, et al.
Geoenergy Science and Engineering (2023) Vol. 225, pp. 211685-211685
Closed Access | Times Cited: 8
Particle erosion behavior in viscoelastic surfactant abrasive slurry jetting
Zhiguo Wang, Wenjuan Wang, Jun Ni, et al.
Powder Technology (2023) Vol. 416, pp. 118230-118230
Closed Access | Times Cited: 7
Measuring solid particles in sand-carrying gas flow using multiscale vibration response statistics and deep learning algorithms
Kai Wang, Ziang Chang, Jiaqi Tian, et al.
Mechanical Systems and Signal Processing (2024) Vol. 209, pp. 111103-111103
Closed Access | Times Cited: 2
A point-interval prediction framework for minimum miscibility pressure of CO2-crude oil systems
Haoyu Chen, Yong Zheng, Hai Huang, et al.
Fuel (2024) Vol. 381, pp. 133573-133573
Closed Access | Times Cited: 2
Performance degradation model and life prediction method of spool pair caused by erosion wear
Jian Kang, Zhaohui Yuan, Jingchao Li, et al.
Flow Measurement and Instrumentation (2024) Vol. 97, pp. 102610-102610
Closed Access | Times Cited: 1
A hybrid kernel extreme learning machine modeling method based on improved dung beetle algorithm optimization for lithium-ion battery state of health estimation
Daijiang Mo, Shunli Wang, Mengyun Zhang, et al.
Ionics (2024) Vol. 30, Iss. 7, pp. 3995-4009
Closed Access | Times Cited: 1
Prediction of gas–solid erosion wear of bionic surfaces based on machine learning and unimodal intelligent optimization algorithm
Haiyue Yu, Haonan Liu, Shuaijun Zhang, et al.
Engineering Failure Analysis (2024) Vol. 163, pp. 108453-108453
Closed Access | Times Cited: 1
An artificial intelligence approach for particle transport velocity prediction in horizontal flows
Haoyu Chen, Zhiguo Wang, Hai Ming Huang, et al.
Particuology (2024) Vol. 92, pp. 234-250
Closed Access | Times Cited: 1
Experimental analysis and model prediction of elbow pipe's erosion in water-cooled radiator
Yongfei Wang, Xiaofei Li, Tong Wang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Logging identification of lithology in fine-grained sedimentary rocks based on the FSSA-HKELM model: a case study of the Qingshankou Formation in the Songliao Basin (NE China)
B. Tang, Qian Meng, Z Liu, et al.
Oil Shale (2024) Vol. 41, Iss. 3, pp. 163-163
Open Access
Predicting regional carbon price in China based on multi-factor HKELM by combining secondary decomposition and ensemble learning
Beibei Hu, Yunhe Cheng
PLoS ONE (2023) Vol. 18, Iss. 12, pp. e0285311-e0285311
Open Access | Times Cited: 1
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