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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:

Industrial big data-driven mechanical performance prediction for hot-rolling steel using lower upper bound estimation method
Gongzhuang Peng, Yinliang Cheng, Yufei Zhang, et al.
Journal of Manufacturing Systems (2022) Vol. 65, pp. 104-114
Closed Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Single-Objective and Multi-Objective Flood Interval Forecasting Considering Interval Fitting Coefficients
Xinyu Chang, Jun Guo, Hui Qin, et al.
Water Resources Management (2024) Vol. 38, Iss. 10, pp. 3953-3972
Closed Access | Times Cited: 52
Prediction of the tensile properties of ultrafine grained Al–SiC nanocomposites using machine learning
I.M.R. Najjar, A.M. Sadoun, Mohamed Abd Elaziz, et al.
Journal of Materials Research and Technology (2023) Vol. 24, pp. 7666-7682
Open Access | Times Cited: 40
Selection of the best Big Data platform using COBRAC-ARTASI methodology with adaptive standardized intervals
Dragan Pamučar, Vladimir Šimić, Ömer Faruk Görçün, et al.
Expert Systems with Applications (2023) Vol. 239, pp. 122312-122312
Closed Access | Times Cited: 24
Predicting mechanical properties lower upper bound for cold-rolling strip by machine learning-based artificial intelligence
Jingdong Li, Xiaochen Wang, Jianwei Zhao, et al.
ISA Transactions (2024) Vol. 147, pp. 328-336
Closed Access | Times Cited: 8
IoT-based framework for digital twins in steel production: A case study of key parameter prediction and optimization for CSR
Jingdong Li, Xiaochen Wang, Quan Yang, et al.
Expert Systems with Applications (2024) Vol. 250, pp. 123909-123909
Closed Access | Times Cited: 8
Causal carbon price interval prediction using lower upper bound estimation combined with asymmetric multi-objective evolutionary algorithm and long short-term memory
Jujie Wang, Maolin He, Weiyi Jiang
Expert Systems with Applications (2023) Vol. 236, pp. 121286-121286
Closed Access | Times Cited: 21
A high-precision and transparent step-wise diagnostic framework for hot-rolled strip crown
Chengyan Ding, Jie Sun, Xiaojian Li, et al.
Journal of Manufacturing Systems (2023) Vol. 71, pp. 144-157
Closed Access | Times Cited: 16
Level Control of Blast Furnace Gas Cleaning Tank System with Fuzzy Based Gain Regulation for Model Reference Adaptive Controller
Özgür Aslan, Aytaç Altan, Rıfat Hacioğlu
Processes (2022) Vol. 10, Iss. 12, pp. 2503-2503
Open Access | Times Cited: 26
基于混合多阶集成模型的非平衡热轧带钢凸度智能诊断
Chengyan Ding, Jie Sun, Xiaojian Li, et al.
Journal of Central South University (2024) Vol. 31, Iss. 3, pp. 762-782
Closed Access | Times Cited: 5
AKGNN-PC: An assembly knowledge graph neural network model with predictive value calibration module for refrigeration compressor performance prediction with assembly error propagation and data imbalance scenarios
Qiuhao Xu, Pengjie Gao, Junliang Wang, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102403-102403
Closed Access | Times Cited: 4
A novel six-dimensional digital twin model for data management and its application in roll forming
Yinwang Ren, Jie Dong, Jingsheng He, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102555-102555
Closed Access | Times Cited: 4
Integrated sustainable benchmark based on edge-cloud cooperation and big data analytics for energy-intensive manufacturing industries
Shuaiyin Ma, Yuming Huang, Wei Cai, et al.
Journal of Manufacturing Systems (2024) Vol. 74, pp. 1037-1056
Closed Access | Times Cited: 4
Novel shape control system of hot-rolled strip based on machine learning fused mechanism model
LingMing Meng, Jingguo Ding, Xiaojian Li, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124789-124789
Closed Access | Times Cited: 4
Interpretable machine learning-based rolling force prediction using multivariate industrial data during tandem cold rolling
Jingdong Li, Jinbo Zhou, Youzhao Sun, et al.
Ironmaking & Steelmaking Processes Products and Applications (2025)
Closed Access
A spatiotemporal characteristics based multi-nodes state prediction method for byproduct gas system and its application on safety assessment
Ze Wang, Zhongyang Han, Jun Zhao, et al.
Control Engineering Practice (2025) Vol. 158, pp. 106280-106280
Closed Access
Explainable machine learning for predicting mechanical properties of hot-rolled steel pipe
Jingdong Li, Youzhao Sun, Xiaochen Wang, et al.
Journal of Iron and Steel Research International (2025)
Closed Access
A novel modelling method for rolling force prediction based on deep stochastic configuration networks fused with physical knowledge
LingMing Meng, Jingguo Ding, Zishuo Dong, et al.
Information Sciences (2025), pp. 122097-122097
Closed Access
Predictive modeling of strip width based on incremental learning and adaptive-weight fusion during the hot rolling process
Wenteng Wu, Wen Peng, Yü Liu, et al.
Journal of Manufacturing Processes (2025) Vol. 142, pp. 157-176
Closed Access
Fusion of theory and data-driven model in hot plate rolling: A case study of rolling force prediction
Zishuo Dong, Xu Li, Feng Luan, et al.
Expert Systems with Applications (2023) Vol. 245, pp. 123047-123047
Closed Access | Times Cited: 11
Hot rolled prognostic approach based on hybrid Bayesian progressive layered extraction multi-task learning
Shuxin Zhang, Zhitao Liu, Tao An, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123763-123763
Closed Access | Times Cited: 3
Stacking ensemble learning fused with whale optimisation algorithm based method for crown prediction of hot-rolled strip
Ling Ming Meng, Jingguo Ding, Haozhan Du, et al.
Ironmaking & Steelmaking Processes Products and Applications (2024) Vol. 51, Iss. 4, pp. 281-296
Closed Access | Times Cited: 3
An interpretable framework for high-precision flatness prediction in strip cold rolling
Chengyan Ding, Jun-Cheng Ye, Jia-Wei Lei, et al.
Journal of Materials Processing Technology (2024) Vol. 329, pp. 118452-118452
Closed Access | Times Cited: 3
Prediction of camber defect of hot-rolled plates using sequence to sequence learning incorporating attention mechanism
Zishuo Dong, Xu Li, Feng Luan, et al.
Alexandria Engineering Journal (2024) Vol. 101, pp. 219-233
Open Access | Times Cited: 3
Novel Multi-Criteria Group Decision Making Method for Production Scheduling Based on Group AHP and Cloud Model Enhanced TOPSIS
X. K. Zhang, Zhimin Lv, Yang Liu, et al.
Processes (2024) Vol. 12, Iss. 2, pp. 305-305
Open Access | Times Cited: 2
Deep learning-based prediction framework of temperature control time for wide-thick slab hot rolling production
Zhuolun Zhang, Bailin Wang, Shuaipeng Yuan, et al.
Expert Systems with Applications (2023) Vol. 227, pp. 120083-120083
Closed Access | Times Cited: 6
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