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:

A hybrid ANN-Fuzzy approach for optimization of engine operating parameters of a CI engine fueled with diesel-palm biodiesel-ethanol blend
Suman Dey, Narath Moni Reang, Arindam Majumder, et al.
Energy (2020) Vol. 202, pp. 117813-117813
Closed Access | Times Cited: 83

Showing 1-25 of 83 citing articles:

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
A review on application of artificial neural network (ANN) for performance and emission characteristics of diesel engine fueled with biodiesel-based fuels
Anh Tuan Hoang, Sandro Nižetić, Hwai Chyuan Ong, et al.
Sustainable Energy Technologies and Assessments (2021) Vol. 47, pp. 101416-101416
Closed Access | Times Cited: 232
A comprehensive study on prospects of economy, environment, and efficiency of palm oil biodiesel as a renewable fuel
Suman Dey, Narath Moni Reang, Pankaj Kumar Das, et al.
Journal of Cleaner Production (2020) Vol. 286, pp. 124981-124981
Closed Access | Times Cited: 192
Ethanol as a renewable biofuel: Combustion characteristics and application in engines
Andrés Z. Mendiburu, Carlos Henrique Lauermann, Thamy Cristina Hayashi, et al.
Energy (2022) Vol. 257, pp. 124688-124688
Closed Access | Times Cited: 87
Artificial intelligence based modelling and hybrid optimization of linseed oil biodiesel with graphene nanoparticles to stringent biomedical safety and environmental standards
Papabathina Mastan Rao, Sneha H. Dhoria, S. Gopal Krishna Patro, et al.
Case Studies in Thermal Engineering (2023) Vol. 51, pp. 103554-103554
Open Access | Times Cited: 44
Optimization of Ignition Delay and Combustion Efficiency in Diesel-Biodiesel-Ethanol Blends for Compression Ignition Engine
Manikandan Ezhumalai, Mohan Govindasamy
Case Studies in Thermal Engineering (2025), pp. 105823-105823
Open Access | Times Cited: 2
Comparative study using RSM and ANN modelling for performance-emission prediction of CI engine fuelled with bio-diesohol blends: A fuzzy optimization approach
Suman Dey, Narath Moni Reang, Pankaj Kumar Das, et al.
Fuel (2021) Vol. 292, pp. 120356-120356
Closed Access | Times Cited: 71
Synthesis, stability, thermophysical properties and AI approach for predictive modelling of Fe3O4 coated MWCNT hybrid nanofluids
Zafar Said, Prabhakar Sharma, L. Syam Sundar, et al.
Journal of Molecular Liquids (2021) Vol. 340, pp. 117291-117291
Closed Access | Times Cited: 69
Exploring the specific heat capacity of water-based hybrid nanofluids for solar energy applications: A comparative evaluation of modern ensemble machine learning techniques
Zafar Said, Prabhakar Sharma, Rajvikram Madurai Elavarasan, et al.
Journal of Energy Storage (2022) Vol. 54, pp. 105230-105230
Closed Access | Times Cited: 66
An ANFIS-RSM based modeling and multi-objective optimization of syngas powered dual-fuel engine
Prabhakar Sharma, Bibhuti B. Sahoo
International Journal of Hydrogen Energy (2022) Vol. 47, Iss. 44, pp. 19298-19318
Closed Access | Times Cited: 58
Response surface methodology-based parameter optimization of single-cylinder diesel engine fueled with graphene oxide dosed sesame oil/diesel fuel blend
Süleyman Şimşek, Samet Uslu, Hatice Şimsek
Energy and AI (2022) Vol. 10, pp. 100200-100200
Open Access | Times Cited: 46
Using response surface methodology approach for optimizing performance and emission parameters of diesel engine powered with ternary blend of Solketal-biodiesel-diesel
Prabhakar Sharma, Minh Phung Le, Ajay Chhillar, et al.
Sustainable Energy Technologies and Assessments (2022) Vol. 52, pp. 102343-102343
Closed Access | Times Cited: 44
Cold flow properties and CI engine parameters synchronic improvement of biodiesel/diesel/ C3 and C4 alcohol blends: Mixture design approach
Basir Maleki, S. Siamak Ashraf Talesh
Process Safety and Environmental Protection (2022) Vol. 160, pp. 310-326
Closed Access | Times Cited: 41
Predicting the performance and emissions of an HCCI-DI engine powered by waste cooking oil biodiesel with Al2O3 and FeCl3 nano additives and gasoline injection – A random forest machine learning approach
G. M. Lionus Leo, Ravikumar Jayabal, Dheepa Srinivasan, et al.
Fuel (2023) Vol. 357, pp. 129914-129914
Closed Access | Times Cited: 38
Modeling and optimization of photo-fermentation biohydrogen production from co-substrates basing on response surface methodology and artificial neural network integrated genetic algorithm
Xueting Zhang, Quanguo Zhang, Yameng Li, et al.
Bioresource Technology (2023) Vol. 374, pp. 128789-128789
Closed Access | Times Cited: 34
Prediction of combustion, performance, and emission parameters of ethanol powered spark ignition engine using ensemble Least Squares boosting machine learning algorithms
D. Jesu Godwin, Edwin Geo Varuvel, Leenus Jesu Martin
Journal of Cleaner Production (2023) Vol. 421, pp. 138401-138401
Closed Access | Times Cited: 32
Prediction of IC engine performance and emission parameters using machine learning: A review
K. Karunamurthy, Ayub Ahmed Janvekar, P. L. Palaniappan, et al.
Journal of Thermal Analysis and Calorimetry (2023) Vol. 148, Iss. 9, pp. 3155-3177
Closed Access | Times Cited: 30
Dual fuel combustion of 1-hexanol with diesel and biodiesel fuels in a diesel engine: An experimental investigation and multi criteria optimization using artificial neural network and TOPSIS algorithm
T. Anandavelu, Sundararajan Rajkumar, Vinoth Thangarasu
Fuel (2023) Vol. 338, pp. 127318-127318
Closed Access | Times Cited: 25
Modelling and optimization of biodiesel production from waste fish oil using nano immobilized rPichiapastoris whole cell biocatalyst with response surface methodology and hybrid artificial neural network based approach
S. Balraj, Gnanaprakash Dharmalingam, J. Iyyappan, et al.
Bioresource Technology (2023) Vol. 393, pp. 130012-130012
Closed Access | Times Cited: 23
Artificial neural networks-based performance and emission characteristics prediction of compression ignition engines powered by blends of biodiesel derived from waste cooking oil
Somya Patnaik, Narendra Khatri, Eldon R. Rene
Fuel (2024) Vol. 370, pp. 131806-131806
Open Access | Times Cited: 14
Improvements of performance and emission characteristics of a diesel engine fueled with diesel/PODE3/n-butanol blended fuels by RSM-NSGA III in plateau environment
Sheng Gao, Yanshuai Ye, Dongli Tan, et al.
Process Safety and Environmental Protection (2024) Vol. 185, pp. 184-210
Closed Access | Times Cited: 10
A Review on Alternative Fuels: Spray Characteristics, Engine Performance and Emissions Effect
Hafis Muhammed, Kithiganahalli Narayanaswamy Balaji, N. Tamilarasan, et al.
Sustainable Futures (2025), pp. 100456-100456
Open Access | Times Cited: 1
Artificial intelligence‐based model prediction of biodiesel‐fueled engine performance and emission characteristics: A comparative evaluation of gene expression programming and artificial neural network
Prabhakar Sharma
Heat Transfer (2021) Vol. 50, Iss. 6, pp. 5563-5587
Closed Access | Times Cited: 44
Application of machine learning tools for constrained multi-objective optimization of an HCCI engine
Ayat Gharehghani, Hamid Reza Abbasi, Pouria Alizadeh
Energy (2021) Vol. 233, pp. 121106-121106
Closed Access | Times Cited: 42
Environmental Assessment of a Diesel Engine Fueled with Various Biodiesel Blends: Polynomial Regression and Grey Wolf Optimization
Ali Alahmer, Hussein Alahmer, Ahmed Handam, et al.
Sustainability (2022) Vol. 14, Iss. 3, pp. 1367-1367
Open Access | Times Cited: 33
Page 1 - Next Page

Scroll to top