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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:

Modeling and optimization of biodiesel engine performance using advanced machine learning methods
Ka In Wong, Pak Kin Wong, C.S. Cheung, et al.
Energy (2013) Vol. 55, pp. 519-528
Closed Access | Times Cited: 130

Showing 1-25 of 130 citing articles:

Trends in extreme learning machines: A review
Gao Huang, Guang-Bin Huang, Shiji Song, et al.
Neural Networks (2014) Vol. 61, pp. 32-48
Closed Access | Times Cited: 1627
A study on the performance and emission of a diesel engine fueled with Jatropha biodiesel oil and its blends
Bhupendra Singh Chauhan, Naveen Kumar, Haeng Muk Cho
Energy (2011) Vol. 37, Iss. 1, pp. 616-622
Closed Access | Times Cited: 539
Machine learning technology in biodiesel research: A review
Mortaza Aghbashlo, Wanxi Peng, Meisam Tabatabaei, et al.
Progress in Energy and Combustion Science (2021) Vol. 85, pp. 100904-100904
Closed Access | Times Cited: 348
Evaluation of the engine performance and exhaust emissions of biodiesel-bioethanol-diesel blends using kernel-based extreme learning machine
A.S. Silitonga, H.H. Masjuki, Hwai Chyuan Ong, et al.
Energy (2018) Vol. 159, pp. 1075-1087
Closed Access | Times Cited: 254
Exhaust emissions from a light-duty diesel engine with Jatropha biodiesel fuel
Piqiang Tan, Zhiyuan Hu, Diming Lou, et al.
Energy (2012) Vol. 39, Iss. 1, pp. 356-362
Closed Access | Times Cited: 234
Biodiesel synthesis from Ceiba pentandra oil by microwave irradiation-assisted transesterification: ELM modeling and optimization
A.S. Silitonga, Abd Halim Shamsuddin, T.M.I. Mahlia, et al.
Renewable Energy (2019) Vol. 146, pp. 1278-1291
Open Access | Times Cited: 224
Modeling, diagnostics, optimization, and control of internal combustion engines via modern machine learning techniques: A review and future directions
Masoud Aliramezani, Charles Robert Koch, Mahdi Shahbakhti
Progress in Energy and Combustion Science (2021) Vol. 88, pp. 100967-100967
Closed Access | Times Cited: 190
Combustion machine learning: Principles, progress and prospects
Matthias Ihme, Wai Tong Chung, Aashwin Mishra
Progress in Energy and Combustion Science (2022) Vol. 91, pp. 101010-101010
Open Access | Times Cited: 166
Machine learning for combustion
Lei Zhou, Yuntong Song, Weiqi Ji, et al.
Energy and AI (2021) Vol. 7, pp. 100128-100128
Open Access | Times Cited: 141
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: 110
Comparison and evaluation of advanced machine learning methods for performance and emissions prediction of a gasoline Wankel rotary engine
Huaiyu Wang, Changwei Ji, Cheng Shi, et al.
Energy (2022) Vol. 248, pp. 123611-123611
Closed Access | Times Cited: 83
Biofuels for a sustainable future: Examining the role of nano-additives, economics, policy, internet of things, artificial intelligence and machine learning technology in biodiesel production
Sagar Shelare, Pramod Belkhode, Keval Chandrakant Nikam, et al.
Energy (2023) Vol. 282, pp. 128874-128874
Closed Access | Times Cited: 76
Artificial neural networks modelling of engine-out responses for a light-duty diesel engine fuelled with biodiesel blends
Harun Mohamed Ismail, Hoon Kiat Ng, Cheen Wei Queck, et al.
Applied Energy (2011) Vol. 92, pp. 769-777
Closed Access | Times Cited: 207
Analysis of operating a diesel engine on biodiesel-ethanol and biodiesel-methanol blends
Nadir Yılmaz, T. Sánchez
Energy (2011) Vol. 46, Iss. 1, pp. 126-129
Closed Access | Times Cited: 178
Optimization of diesel–butanol–vegetable oil blend ratios based on engine operating parameters
Alpaslan Atmanlı, Erol İleri, Nadir Yılmaz
Energy (2016) Vol. 96, pp. 569-580
Closed Access | Times Cited: 140
Accuracy analyses and model comparison of machine learning adopted in building energy consumption prediction
Zhijian Liu, Di Wu, Yuanwei Liu, et al.
Energy Exploration & Exploitation (2019) Vol. 37, Iss. 4, pp. 1426-1451
Open Access | Times Cited: 133
Investigation of ANN and SVM based on limited samples for performance and emissions prediction of a CRDI-assisted marine diesel engine
Xiaoxiao Niu, Chuanlei Yang, Hechun Wang, et al.
Applied Thermal Engineering (2016) Vol. 111, pp. 1353-1364
Closed Access | Times Cited: 132
ANN-based modeling and reducing dual-fuel engine’s challenging emissions by multi-objective evolutionary algorithm NSGA-II
Saeed Lotfan, R. Akbarpour Ghiasi, M. Fallah, et al.
Applied Energy (2016) Vol. 175, pp. 91-99
Closed Access | Times Cited: 118
Multi-objective optimization of ethanol fuelled HCCI engine performance using hybrid GRNN–PSO
Harisankar Bendu, B. B. V. L. Deepak, S. Murugan
Applied Energy (2016) Vol. 187, pp. 601-611
Closed Access | Times Cited: 117
Ultrasound-assisted process optimization and tribological characteristics of biodiesel from palm-sesame oil via response surface methodology and extreme learning machine - Cuckoo search
M.A. Mujtaba, H.H. Masjuki, M.A. Kalam, et al.
Renewable Energy (2020) Vol. 158, pp. 202-214
Open Access | Times Cited: 116
Modeling the effects of ultrasound power and reactor dimension on the biodiesel production yield: Comparison of prediction abilities between response surface methodology (RSM) and adaptive neuro-fuzzy inference system (ANFIS)
Mostafa Mostafaei, Hossein Javadikia, Leila Naderloo
Energy (2016) Vol. 115, pp. 626-636
Closed Access | Times Cited: 107
Optimisation of operating parameters of DI-CI engine fueled with second generation Bio-fuel and development of ANN based prediction model
S. V. Channapattana, Abhay Pawar, Prashant G. Kamble
Applied Energy (2016) Vol. 187, pp. 84-95
Closed Access | Times Cited: 107
A comparative study of biodiesel engine performance optimization using enhanced hybrid PSO–GA and basic GA
Qiang Zhang, Ryan M. Ogren, Song‐Charng Kong
Applied Energy (2016) Vol. 165, pp. 676-684
Closed Access | Times Cited: 91
Prediction of biodiesel production from microalgal oil using Bayesian optimization algorithm-based machine learning approaches
Nahid Sultana, S. M. Zakir Hossain, M. Abusaad, et al.
Fuel (2021) Vol. 309, pp. 122184-122184
Closed Access | Times Cited: 88
A Review on Machine Learning Application in Biodiesel Production Studies
Yuanzhi Xing, Zile Zheng, Yike Sun, et al.
International Journal of Chemical Engineering (2021) Vol. 2021, pp. 1-12
Open Access | Times Cited: 60
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