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:

Showing 1-25 of 85 citing articles:

Pyrolysis of lignocellulosic, algal, plastic, and other biomass wastes for biofuel production and circular bioeconomy: A review of thermogravimetric analysis (TGA) approach
Jamin Escalante, Wei‐Hsin Chen, Meisam Tabatabaei, et al.
Renewable and Sustainable Energy Reviews (2022) Vol. 169, pp. 112914-112914
Open Access | Times Cited: 230
A comprehensive study on estimating higher heating value of biomass from proximate and ultimate analysis with machine learning approaches
Jiangkuan Xing, Kun Luo, Haiou Wang, et al.
Energy (2019) Vol. 188, pp. 116077-116077
Closed Access | Times Cited: 152
Applications of machine learning in thermochemical conversion of biomass-A review
Muzammil Khan, Salman Raza Naqvi, Zahid Ullah, et al.
Fuel (2022) Vol. 332, pp. 126055-126055
Closed Access | Times Cited: 137
A comparative study of machine learning methods for bio-oil yield prediction – A genetic algorithm-based features selection
Zahid Ullah, Muzammil Khan, Salman Raza Naqvi, et al.
Bioresource Technology (2021) Vol. 335, pp. 125292-125292
Closed Access | Times Cited: 121
Interpretable machine learning for predicting and evaluating hydrogen production via supercritical water gasification of biomass
Sheng Zhao, Jian Li, Chao Chen, et al.
Journal of Cleaner Production (2021) Vol. 316, pp. 128244-128244
Closed Access | Times Cited: 114
A hybrid approach of adaptive wavelet transform, long short-term memory and ARIMA-GARCH family models for the stock index prediction
Mehdi Zolfaghari, Samad Gholami
Expert Systems with Applications (2021) Vol. 182, pp. 115149-115149
Closed Access | Times Cited: 106
Applications of artificial intelligence‐based modeling for bioenergy systems: A review
Mochen Liao, Yuan Yao
GCB Bioenergy (2021) Vol. 13, Iss. 5, pp. 774-802
Open Access | Times Cited: 103
Bioresource Upgrade for Sustainable Energy, Environment, and Biomedicine
Fanghua Li, Yiwei Li, Kostya S. Novoselov, et al.
Nano-Micro Letters (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 48
Modeling and predicting the electricity production in hydropower using conjunction of wavelet transform, long short-term memory and random forest models
Mehdi Zolfaghari, Mohammad Reza Golabi
Renewable Energy (2021) Vol. 170, pp. 1367-1381
Closed Access | Times Cited: 77
Predicting co-pyrolysis of coal and biomass using machine learning approaches
Hao Wei, Kun Luo, Jiangkuan Xing, et al.
Fuel (2021) Vol. 310, pp. 122248-122248
Closed Access | Times Cited: 71
MFiX based multi-scale CFD simulations of biomass fast pyrolysis: A review
Liqiang Lu, Xi Gao, Jean-François Dietiker, et al.
Chemical Engineering Science (2021) Vol. 248, pp. 117131-117131
Closed Access | Times Cited: 64
Predicting and optimizing syngas production from fluidized bed biomass gasifiers: A machine learning approach
Jun Young Kim, Dongjae Kim, Zezhong John Li, et al.
Energy (2022) Vol. 263, pp. 125900-125900
Closed Access | Times Cited: 45
A machine learning model to predict the pyrolytic kinetics of different types of feedstocks
Shule Wang, Ziyi Shi, Yanghao Jin, et al.
Energy Conversion and Management (2022) Vol. 260, pp. 115613-115613
Open Access | Times Cited: 42
Process optimization of biomass gasification with a Monte Carlo approach and random forest algorithm
Yi Fang, Li Ma, Zhiyi Yao, et al.
Energy Conversion and Management (2022) Vol. 264, pp. 115734-115734
Open Access | Times Cited: 41
Predicting biomass composition and operating conditions in fluidized bed biomass gasifiers: An automated machine learning approach combined with cooperative game theory
Jun Young Kim, Ui Hyeon Shin, Kwangsu Kim
Energy (2023) Vol. 280, pp. 128138-128138
Closed Access | Times Cited: 27
Image-based and ML-driven analysis for assessing blueberry fruit quality
Marcelo Rodrigues Barbosa Júnior, Regimar Garcia dos Santos, Lucas de Azevedo Sales, et al.
Heliyon (2025), pp. e42288-e42288
Open Access | Times Cited: 1
Estimating biomass major chemical constituents from ultimate analysis using a random forest model
Jiangkuan Xing, Kun Luo, Haiou Wang, et al.
Bioresource Technology (2019) Vol. 288, pp. 121541-121541
Closed Access | Times Cited: 71
Use of Machine Learning Methods for Predicting Amount of Bioethanol Obtained from Lignocellulosic Biomass with the Use of Ionic Liquids for Pretreatment
Małgorzata Smuga‐Kogut, Tomasz Kogut, Roksana Markiewicz, et al.
Energies (2021) Vol. 14, Iss. 1, pp. 243-243
Open Access | Times Cited: 55
Multiscale CFD simulation of biomass fast pyrolysis with a machine learning derived intra-particle model and detailed pyrolysis kinetics
Liqiang Lu, M. Brennan Pecha, Gavin Wiggins, et al.
Chemical Engineering Journal (2021) Vol. 431, pp. 133853-133853
Open Access | Times Cited: 47
Progress in thermodynamic simulation and system optimization of pyrolysis and gasification of biomass
Yang Zhang, Yuanhui Ji, Hongliang Qian
Green Chemical Engineering (2021) Vol. 2, Iss. 3, pp. 266-283
Open Access | Times Cited: 45
Estimation of lignocellulosic biomass pyrolysis product yields using artificial neural networks
C. Tsekos, S. Tandurella, Wiebren de Jong
Journal of Analytical and Applied Pyrolysis (2021) Vol. 157, pp. 105180-105180
Open Access | Times Cited: 41
Production forecast analysis of BP neural network based on Yimin lignite supercritical water gasification experiment results
Bowei Zhang, Simao Guo, Hui Jin
Energy (2022) Vol. 246, pp. 123306-123306
Closed Access | Times Cited: 32
Multifunctional catalyst-assisted sustainable reformation of lignocellulosic biomass into environmentally friendly biofuel and value-added chemicals
Muhammad Awais Naeem, Muhammad Imran, Shoomaila Latif, et al.
Chemosphere (2023) Vol. 330, pp. 138633-138633
Closed Access | Times Cited: 18
Photovoltaic capacity dynamic tracking model predictive control strategy of air-conditioning systems with consideration of flexible loads
Jing Zhao, Zilan Yang, Linyu Shi, et al.
Applied Energy (2023) Vol. 356, pp. 122430-122430
Closed Access | Times Cited: 17
Exploring Insights in Biomass and Waste Gasification via Ensemble Machine Learning Models and Interpretability Techniques
Ocident Bongomin, Charles Nzila, Josphat Igadwa Mwasiagi, et al.
International Journal of Energy Research (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 7
Page 1 - Next Page

Scroll to top