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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:

An adaptive least squares support vector machine model with a novel update for NOx emission prediction
You Lv, Tingting Yang, Jizhen Liu
Chemometrics and Intelligent Laboratory Systems (2015) Vol. 145, pp. 103-113
Closed Access | Times Cited: 76

Showing 1-25 of 76 citing articles:

Data Mining and Analytics in the Process Industry: The Role of Machine Learning
Zhiqiang Ge, Zhihuan Song, Steven X. Ding, et al.
IEEE Access (2017) Vol. 5, pp. 20590-20616
Open Access | Times Cited: 805
NOx emission prediction using a lightweight convolutional neural network for cleaner production in a down-fired boiler
Zhi Wang, Xianyong Peng, Shengxian Cao, et al.
Journal of Cleaner Production (2023) Vol. 389, pp. 136060-136060
Closed Access | Times Cited: 58
Novel analysis–forecast system based on multi-objective optimization for air quality index
Hongmin Li, Jianzhou Wang, Ranran Li, et al.
Journal of Cleaner Production (2018) Vol. 208, pp. 1365-1383
Open Access | Times Cited: 128
Dynamic modeling of NOX emission in a 660 MW coal-fired boiler with long short-term memory
Peng Tan, Biao He, Cheng Zhang, et al.
Energy (2019) Vol. 176, pp. 429-436
Closed Access | Times Cited: 118
The multi-objective optimization of combustion system operations based on deep data-driven models
Zhenhao Tang, Zijun Zhang
Energy (2019) Vol. 182, pp. 37-47
Closed Access | Times Cited: 85
A hybrid NOx emission prediction model based on CEEMDAN and AM-LSTM
Xiaowei Wang, Wenjie Liu, Yingnan Wang, et al.
Fuel (2021) Vol. 310, pp. 122486-122486
Closed Access | Times Cited: 74
Artificial intelligence for control and optimization of boilers’ performance and emissions: A review
Medhat A. Nemitallah, Mohammad Nabhan, Maad Alowaifeer, et al.
Journal of Cleaner Production (2023) Vol. 417, pp. 138109-138109
Closed Access | Times Cited: 40
Developing an evolutionary deep learning framework with random forest feature selection and improved flow direction algorithm for NOx concentration prediction
Huixin Ma, Peng Tian, Chu Zhang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106367-106367
Closed Access | Times Cited: 30
A predictive model with time-varying delays employing channel equalization convolutional neural network for NOx emissions in flexible power generation
Zhi Wang, Huaichun Zhou, Xianyong Peng, et al.
Energy (2024) Vol. 306, pp. 132495-132495
Closed Access | Times Cited: 13
Process intensification 4.0: A new approach for attaining new, sustainable and circular processes enabled by machine learning
Enrique A. López-Guajardo, Fernando Delgado‐Licona, A. Alvarez, et al.
Chemical Engineering and Processing - Process Intensification (2021) Vol. 180, pp. 108671-108671
Closed Access | Times Cited: 54
Adaptive LSSVM based iterative prediction method for NOx concentration prediction in coal-fired power plant considering system delay
Yongjie Zhai, Xuda Ding, Xiu-Zhang Jin, et al.
Applied Soft Computing (2020) Vol. 89, pp. 106070-106070
Closed Access | Times Cited: 52
A dynamic model for the bed temperature prediction of circulating fluidized bed boilers based on least squares support vector machine with real operational data
You Lv, Feng Hong, Tingting Yang, et al.
Energy (2017) Vol. 124, pp. 284-294
Closed Access | Times Cited: 62
Adaptive selective catalytic reduction model development using typical operating data in coal-fired power plants
You Lv, Xuguang Lv, Fang Fang, et al.
Energy (2019) Vol. 192, pp. 116589-116589
Closed Access | Times Cited: 47
Integration of continuous restricted Boltzmann machine and SVR in NOx emissions prediction of a tangential firing boiler
Wei Fan, Fengqi Si, Shaojun Ren, et al.
Chemometrics and Intelligent Laboratory Systems (2019) Vol. 195, pp. 103870-103870
Closed Access | Times Cited: 45
A review of just‐in‐time learning‐based soft sensor in industrial process
Weiwei Sheng, Jinchuan Qian, Zhihuan Song, et al.
The Canadian Journal of Chemical Engineering (2024) Vol. 102, Iss. 5, pp. 1884-1898
Closed Access | Times Cited: 5
A novel optimal support vector machine ensemble model for NOX emissions prediction of a diesel engine
Бо Лю, Jie Hu, Fuwu Yan, et al.
Measurement (2016) Vol. 92, pp. 183-192
Closed Access | Times Cited: 44
Soft sensor modeling of chemical process based on self-organizing recurrent interval type-2 fuzzy neural network
Taoyan Zhao, Ping Li, Jiangtao Cao
ISA Transactions (2018) Vol. 84, pp. 237-246
Closed Access | Times Cited: 40
Adaptive Nonlinear Model Predictive Control of NOx Emissions under Load Constraints in Power Plant Boilers
Zhenhao Tang, Yanyan Li, Xiangying Chai, et al.
JOURNAL OF CHEMICAL ENGINEERING OF JAPAN (2020) Vol. 53, Iss. 1, pp. 36-44
Closed Access | Times Cited: 34
Towards application of machine learning algorithms for prediction temperature distribution within CFB boiler based on specified operating conditions
Jaroslaw Grochowalski, Piotr Jachymek, Marek Andrzejczyk, et al.
Energy (2021) Vol. 237, pp. 121538-121538
Open Access | Times Cited: 31
Deep Bidirectional Learning Machine for Predicting NOx Emissions and Boiler Efficiency from a Coal-Fired Boiler
Guoqiang Li, Xiaobin Qi, Keith C. C. Chan, et al.
Energy & Fuels (2017) Vol. 31, Iss. 10, pp. 11471-11480
Closed Access | Times Cited: 35
A hybrid model integrating improved flower pollination algorithm-based feature selection and improved random forest for NO X emission estimation of coal-fired power plants
Fang Wang, Suxia Ma, He Wang, et al.
Measurement (2018) Vol. 125, pp. 303-312
Closed Access | Times Cited: 34
A correlation-based model order reduction approach for a diesel engine NOx and brake mean effective pressure dynamic model using machine learning
Armin Norouzi, Masoud Aliramezani, Charles Robert Koch
International Journal of Engine Research (2020) Vol. 22, Iss. 8, pp. 2654-2672
Closed Access | Times Cited: 31
Soft sensing of SO2 emission for ultra-low emission coal-fired power plant with dynamic model and segmentation model
Ke Li, Qingyi Li, Haidong Fan, et al.
Fuel (2022) Vol. 332, pp. 125921-125921
Closed Access | Times Cited: 17
NOx Concentration Modeling in CFB Coal-Fired Power Plants Based on Feature Engineering and Deep Random Forest
Gaocheng Yan, Jie Qiao, Yuchao Wu, et al.
Process Safety and Environmental Protection (2025)
Closed Access
Modeling and Optimization of the Cement Calcination Process for Reducing NOx Emission Using an Improved Just-In-Time Gaussian Mixture Regression
Jinquan Zheng, Wenli Du, Zi–Qiang Lang, et al.
Industrial & Engineering Chemistry Research (2020) Vol. 59, Iss. 11, pp. 4987-4999
Closed Access | Times Cited: 25
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