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:

An evolutionary deep learning soft sensor model based on random forest feature selection technique for penicillin fermentation process
Lei Hua, Chu Zhang, Wei Sun, et al.
ISA Transactions (2022) Vol. 136, pp. 139-151
Closed Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Digital twin for predicting and controlling food fermentation: a case study of kombucha fermentation
Songguang Zhao, Tianhui Jiao, Selorm Yao‐Say Solomon Adade, et al.
Journal of Food Engineering (2025), pp. 112467-112467
Closed Access

Piecewise Logarithmic Fitting‐Based Ant Lion Optimizer
Cheng‐ze Li, Gengsong Li, Yi Liu, et al.
IEEJ Transactions on Electrical and Electronic Engineering (2025)
Closed Access

Identification of finite-time delay and regressors for the design of soft sensors in the presence of input collinearity
Luca Patanè, Salvatore Graziani, Maria Gabriella Xibilia
Control Engineering Practice (2025) Vol. 157, pp. 106267-106267
Open Access

Virtual Sensor for Sustainable Large-Scale Process Monitoring
Mohammad Reza Boskabadi, Mahesh Murugaiah, Torben Nielsen, et al.
Industrial & Engineering Chemistry Research (2025)
Closed Access

An intelligent hybrid approach for photovoltaic power forecasting using enhanced chaos game optimization algorithm and Locality sensitive hashing based Informer model
Peng Tian, Yongyan Fu, Yuhan Wang, et al.
Journal of Building Engineering (2023) Vol. 78, pp. 107635-107635
Closed Access | Times Cited: 17

A modeling method of wide random forest multi-output soft sensor with attention mechanism for quality prediction of complex industrial processes
Yin Wan, Ding Liu, Jun-Chao Ren
Advanced Engineering Informatics (2023) Vol. 59, pp. 102255-102255
Closed Access | Times Cited: 13

A soft sensor model based on CNN-BiLSTM and IHHO algorithm for Tennessee Eastman process
Yiman Li, Peng Tian, Wei Sun, et al.
Measurement (2023) Vol. 218, pp. 113195-113195
Closed Access | Times Cited: 11

Production capacity prediction based response conditions optimization of straw reforming using attention-enhanced convolutional LSTM integrating data expansion
Yongming Han, Zhiyi Li, Tingting Wei, et al.
Applied Energy (2024) Vol. 365, pp. 123253-123253
Closed Access | Times Cited: 4

Predicting the RUL of Li-Ion Batteries in UAVs Using Machine Learning Techniques
Dragoș Andrioaia, Vasile Gheorghiță Găitan, George Culea, et al.
Computers (2024) Vol. 13, Iss. 3, pp. 64-64
Open Access | Times Cited: 3

A Soft Sensor for Flow Estimation and Uncertainty Analysis Based on Artificial Intelligence: A Case Study of Water Supply Systems
Gabryel M. Raposo de Alencar, Fernanda Maria Lima Fernandes, Rafael Moura Duarte, et al.
Automation (2024) Vol. 5, Iss. 2, pp. 106-127
Open Access | Times Cited: 3

Harnessing biotechnology for penicillin production: Opportunities and environmental considerations
Md Ariful Haque, Nirmalendu Nath, Tony V. Johnston, et al.
The Science of The Total Environment (2024) Vol. 946, pp. 174236-174236
Open Access | Times Cited: 3

Advanced Statistical and Meta-Heuristic Based Optimization Fault Diagnosis Techniques in Complex Industrial Processes: A Comparative Analysis
Faizan E Mustafa, Abdul Qayyum Khan, Abdus Samee, et al.
IEEE Access (2023) Vol. 11, pp. 104373-104391
Open Access | Times Cited: 9

The TPRF: A Novel Soft Sensing Method of Alumina–Silica Ratio in Red Mud Based on TPE and Random Forest Algorithm
Fanguang Meng, Zhiguo Shi, Yongxing Song
Processes (2024) Vol. 12, Iss. 4, pp. 663-663
Open Access | Times Cited: 2

Application of terahertz spectroscopy combined with feature improvement algorithm for the identification of adulterated rice seeds
Xiaolong Hou, Zhaowei Jie, Jifen Wang, et al.
Infrared Physics & Technology (2023) Vol. 131, pp. 104694-104694
Closed Access | Times Cited: 5

Enhanced Binary Black Hole algorithm for text feature selection on resources classification
Xian Wu, Minrui Fei, Dakui Wu, et al.
Knowledge-Based Systems (2023) Vol. 274, pp. 110635-110635
Closed Access | Times Cited: 5

Collaborative Multiple Players to Address Label Sparsity in Quality Prediction of Batch Processes
Ling Zhao, Zheng Zhang, Jinlin Zhu, et al.
Sensors (2024) Vol. 24, Iss. 7, pp. 2073-2073
Open Access | Times Cited: 1

Time-Specific Thresholds for Batch Process Monitoring: A Study Based on Two-Dimensional Conditional Variational Auto-Encoder
Jinlin Zhu, Zhong Liu, Xuyang Lou, et al.
Processes (2024) Vol. 12, Iss. 4, pp. 682-682
Open Access | Times Cited: 1

Sensitive Feature Selection for Industrial Flotation Process Soft Sensor Based on Multiswarm PSO With Collaborative Search
Shiwen Xie, Yongjia Yu, Yongfang Xie, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 10, pp. 17159-17168
Closed Access | Times Cited: 1

Research on soft sensor modeling method for complex chemical processes based on local semi-supervised selective ensemble learning
Xuefeng Liu, Longhao Li, Fan Zhang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 075110-075110
Closed Access | Times Cited: 1

Data-driven adaptive and stable feature selection method for large-scale industrial systems
Xiuli Zhu, Yan Song, Peng Wang, et al.
Control Engineering Practice (2024) Vol. 153, pp. 106097-106097
Closed Access | Times Cited: 1

Soft Sensor Modeling Method for the Marine Lysozyme Fermentation Process Based on ISOA-GPR Weighted Ensemble Learning
Na Lü, Bo Wang, Xianglin Zhu
Sensors (2023) Vol. 23, Iss. 22, pp. 9119-9119
Open Access | Times Cited: 4

Identification of Key Factors Influencing Sound Insulation Performance of High-Speed Train Composite Floor Based on Machine Learning
Ruiqian Wang, Dan Yao, Jie Zhang, et al.
Acoustics (2023) Vol. 6, Iss. 1, pp. 1-17
Open Access | Times Cited: 3

Empowering Greenhouse Cultivation: Dynamic Factors and Machine Learning Unite for Advanced Microclimate Prediction
Wei Sun, Fi‐John Chang
Water (2023) Vol. 15, Iss. 20, pp. 3548-3548
Open Access | Times Cited: 2

Fault diagnosis based on counterfactual inference for the batch fermentation process
Zhong Liu, Xuyang Lou
ISA Transactions (2024) Vol. 148, pp. 449-460
Closed Access

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