Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Hybrid event-, mechanism- and data-driven prediction of blast furnace gas generation
Wenqiang Sun, Zihao Wang, Qiang Wang
Energy (2020) Vol. 199, pp. 117497-117497
Closed Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Material and energy flows of the iron and steel industry: Status quo, challenges and perspectives
Wenqiang Sun, Qiang Wang, Yue Zhou, et al.
Applied Energy (2020) Vol. 268, pp. 114946-114946
Open Access | Times Cited: 217
Data-driven sustainable intelligent manufacturing based on demand response for energy-intensive industries
Shuaiyin Ma, Yingfeng Zhang, Yang Liu, et al.
Journal of Cleaner Production (2020) Vol. 274, pp. 123155-123155
Open Access | Times Cited: 170
Digital twin and big data-driven sustainable smart manufacturing based on information management systems for energy-intensive industries
Shuaiyin Ma, Wei Ding, Yang Liu, et al.
Applied Energy (2022) Vol. 326, pp. 119986-119986
Open Access | Times Cited: 127
Edge-cloud cooperation-driven smart and sustainable production for energy-intensive manufacturing industries
Shuaiyin Ma, Yuming Huang, Yang Liu, et al.
Applied Energy (2023) Vol. 337, pp. 120843-120843
Open Access | Times Cited: 39
Material–energy–emission nexus in the integrated iron and steel industry
Wenqiang Sun, Qiang Wang, Zhong Zheng, et al.
Energy Conversion and Management (2020) Vol. 213, pp. 112828-112828
Closed Access | Times Cited: 90
Big data driven predictive production planning for energy-intensive manufacturing industries
Shuaiyin Ma, Yingfeng Zhang, Jingxiang Lv, et al.
Energy (2020) Vol. 211, pp. 118320-118320
Closed Access | Times Cited: 76
Attention mechanism-aided data- and knowledge-driven soft sensors for predicting blast furnace gas generation
Shuhan Liu, Wenqiang Sun
Energy (2022) Vol. 262, pp. 125498-125498
Closed Access | Times Cited: 49
Data-driven cleaner production strategy for energy-intensive manufacturing industries: Case studies from Southern and Northern China
Shuaiyin Ma, Yingfeng Zhang, Jingxiang Lv, et al.
Advanced Engineering Informatics (2022) Vol. 53, pp. 101684-101684
Closed Access | Times Cited: 37
Prediction of blast furnace gas generation based on data quality improvement strategy
Shuhan Liu, Wenqiang Sun, Weidong Li, et al.
Journal of Iron and Steel Research International (2023) Vol. 30, Iss. 5, pp. 864-874
Closed Access | Times Cited: 21
A novel evaluation method for energy efficiency of process industry — A case study of typical iron and steel manufacturing process
Hongming Na, Jingchao Sun, Ziyang Qiu, et al.
Energy (2021) Vol. 233, pp. 121081-121081
Closed Access | Times Cited: 53
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
Combination of Empirical Mode Decomposition and Least Squares Support Vector Machine for Gas Utilization Ratio Prediction of Blast Furnace
Xiaoming Li, Zhiheng Yu, B. Wang, et al.
JOM (2025)
Closed Access
A Two-Stage Event Partition-Based Bayesian Networks Group Prediction Method for Converter Gas Generation
Junyan Fan, Dinghui Wu, Shenxin Lu
(2025)
Closed Access
Prediction of Blast Furnace Gas Generation Based on Bayesian Network
Zifeng Wu, Dinghui Wu
Energies (2025) Vol. 18, Iss. 5, pp. 1182-1182
Open Access
Stacked Ensemble Learning Model-Based Prediction and Optimization of the Grade of Titanium Dioxide in High-Titanium Slag
Jixiang Cai, Yanqing Hou, Jianguo Wang, et al.
Journal of Sustainable Metallurgy (2025)
Closed Access
A data-driven approach for the quick prediction of in-furnace phenomena of pulverized coal combustion in an ironmaking blast furnace
Yiran Liu, Huiming Zhang, Yansong Shen
Chemical Engineering Science (2022) Vol. 260, pp. 117945-117945
Closed Access | Times Cited: 19
Quantifying the Flexibility From Industrial Steam Systems for Supporting the Power Grid
Xiandong Xu, Wenqiang Sun, Muditha Abeysekera, et al.
IEEE Transactions on Power Systems (2020) Vol. 36, Iss. 1, pp. 313-322
Closed Access | Times Cited: 28
Optimal parameter adjustment of catalytic combustion heaters for oil shale in-situ conversion of low calorific value gases
Haoche Shui, Yuan Wang, Zhao Liu, et al.
Journal of Cleaner Production (2023) Vol. 426, pp. 139020-139020
Closed Access | Times Cited: 9
Performance Prediction and Interpretation of a Refuse Plastic Fuel Fired Boiler
Aditya Shaha, Mohan Sai Singamsetti, B. K. Tripathy, et al.
IEEE Access (2020) Vol. 8, pp. 117467-117482
Open Access | Times Cited: 23
A case-practice-theory-based method of implementing energy management in a manufacturing factory
Shuaiyin Ma, Yingfeng Zhang, Shan Ren, et al.
International Journal of Computer Integrated Manufacturing (2020) Vol. 34, Iss. 7-8, pp. 829-843
Closed Access | Times Cited: 22
Fuel Ratio Optimization of Blast Furnace Based on Data Mining
Xiuyun Zhai, Mingtong Chen, Wencong Lu
ISIJ International (2020) Vol. 60, Iss. 11, pp. 2471-2476
Open Access | Times Cited: 21
Exploring enhanced CO2 separation from blast furnace gas: A multicolumn vacuum swing adsorption approach with process design and experimental assessment
Tingsheng Ren, Liying Liu, Yaxin Jing, et al.
Separation and Purification Technology (2024) Vol. 354, pp. 129300-129300
Closed Access | Times Cited: 2
Prediction of blast furnace parameters using feature engineering and Stacking algorithm
Hongyang Li, Xin Li, Xiaojie Liu, et al.
Ironmaking & Steelmaking Processes Products and Applications (2021) Vol. 49, Iss. 3, pp. 283-296
Closed Access | Times Cited: 16
Evaluation and Prediction Models for Blast Furnace Operating Status Based on Big Data Mining
Hongwei Li, Xin Li, Xiaojie Liu, et al.
Metals (2023) Vol. 13, Iss. 7, pp. 1250-1250
Open Access | Times Cited: 5
Comparison of different approaches for predicting material removal power in milling process
Jingxiang Lv, Shun Jia, Huifeng Wang, et al.
The International Journal of Advanced Manufacturing Technology (2021) Vol. 116, Iss. 1-2, pp. 213-227
Closed Access | Times Cited: 13
Page 1 - Next Page

Scroll to top