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:

Multiseries Featural LSTM for Partial Periodic Time-Series Prediction: A Case Study for Steel Industry
Tianyu Wang, Henry Leung, Jun Zhao, et al.
IEEE Transactions on Instrumentation and Measurement (2020) Vol. 69, Iss. 9, pp. 5994-6003
Closed Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

Palladium Price Predictions via Machine Learning
Bingzi Jin, Xiaojie Xu
Materials Circular Economy (2024) Vol. 6, Iss. 1
Closed Access | Times Cited: 40

Predictions of steel price indices through machine learning for the regional northeast Chinese market
Bingzi Jin, Xiaojie Xu
Neural Computing and Applications (2024) Vol. 36, Iss. 33, pp. 20863-20882
Closed Access | Times Cited: 39

Machine learning price index forecasts of flat steel products
Bingzi Jin, Xiaojie Xu
Mineral Economics (2024)
Closed Access | Times Cited: 15

Predicting Scrap Steel Prices Through Machine Learning for South China
Bingzi Jin, Xiaojie Xu
Materials Circular Economy (2025) Vol. 7, Iss. 1
Closed Access | Times Cited: 2

Data Mode Related Interpretable Transformer Network for Predictive Modeling and Key Sample Analysis in Industrial Processes
Diju Liu, Yalin Wang, Chenliang Liu, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 9, pp. 9325-9336
Closed Access | Times Cited: 44

CO emission predictions in municipal solid waste incineration based on reduced depth features and long short-term memory optimization
Runyu Zhang, Jian Tang, Heng Xia, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 10, pp. 5473-5498
Closed Access | Times Cited: 7

Semi-supervised LSTM with historical feature fusion attention for temporal sequence dynamic modeling in industrial processes
Yiyin Tang, Yalin Wang, Chenliang Liu, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 117, pp. 105547-105547
Closed Access | Times Cited: 34

A Holistic Feature Selection Method for Enhanced Short-term Load Forecasting of Power System
Bozhen Jiang, Yi Liu, Hua Geng, et al.
IEEE Transactions on Instrumentation and Measurement (2022), pp. 1-1
Closed Access | Times Cited: 27

A novel combined model based on echo state network optimized by whale optimization algorithm for blast furnace gas prediction
Shizhao Wen, Hongzeng Wang, Jinhua Qian, et al.
Energy (2023) Vol. 279, pp. 128048-128048
Closed Access | Times Cited: 17

Regional steel price index predictions for the southwest Chinese market through machine learning
Bingzi Jin, Xiaojie Xu
Ironmaking & Steelmaking Processes Products and Applications (2024)
Closed Access | Times Cited: 5

Scrap steel price predictions for southwest China via machine learning
Bingzi Jin, Xiaojie Xu
Innovation and Emerging Technologies (2025) Vol. 12
Closed Access

Prediction of Oxygen Content Using Weighted PCA and Improved LSTM Network in MSWI Process
Jian Sun, Xi Meng, Junfei Qiao
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-12
Closed Access | Times Cited: 32

A PLS-based pruning algorithm for simplified long–short term memory neural network in time series prediction
Wenjing Li, Xiaoxiao Wang, Honggui Han, et al.
Knowledge-Based Systems (2022) Vol. 254, pp. 109608-109608
Closed Access | Times Cited: 23

Missing data reconstruction in attitude for quadrotor unmanned aerial vehicle based on deep regression model with different sensor failures
Jie Li, Ziyang Wang, Zhelong Wang, et al.
Information Fusion (2023) Vol. 93, pp. 243-257
Closed Access | Times Cited: 12

Edge-cloud collaboration-driven predictive planning based on LSTM-attention for wastewater treatment
Shuaiyin Ma, Wei Ding, Yujuan Zheng, et al.
Computers & Industrial Engineering (2024) Vol. 195, pp. 110425-110425
Closed Access | Times Cited: 4

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

A novel reinforced incomplete cyber-physics ensemble with error compensation learning for within-batch quality prediction
Yi Shan Lee, Junghui Chen
Advanced Engineering Informatics (2025) Vol. 65, pp. 103172-103172
Closed Access

Short-Term PV Power Forecasting Based on CEEMDAN and Ensemble DeepTCN
Yu Huang, Anjie Wang, Jianfang Jiao, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Closed Access | Times Cited: 10

A multivariate time series segmentation algorithm for analyzing the operating statuses of tunnel boring machines
Yong Pang, Maolin Shi, Liyong Zhang, et al.
Knowledge-Based Systems (2022) Vol. 242, pp. 108362-108362
Closed Access | Times Cited: 16

Human-inspired spatiotemporal feature extraction and fusion network for weather forecasting
Han Wu, Liang Yan, Junyi Zuo
Expert Systems with Applications (2022) Vol. 207, pp. 118089-118089
Closed Access | Times Cited: 16

Machine learning Brent crude oil price forecasts
Bingzi Jin, Xiaojie Xu
Innovation and Emerging Technologies (2024) Vol. 11
Closed Access | Times Cited: 3

Radio Frequency Energy Harvesting-Based Self-Powered Dairy Cow Behavior Classification System
Ngoc Hai Dang, Viet Thang Tran, Thai-Ha Dang, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 8, pp. 8776-8788
Closed Access | Times Cited: 8

Prediction of oxygen content in flue gas of power plant with stacked target-enhanced autoencoder and attention-based LSTM
Yanqin Ma, Yuanwei Zhou, Jianhua Peng, et al.
Measurement (2024) Vol. 235, pp. 115036-115036
Closed Access | Times Cited: 2

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