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:

Review of artificial neural networks for gasoline, diesel and homogeneous charge compression ignition engine
Ibham Veza, Asif Afzal, M.A. Mujtaba, et al.
Alexandria Engineering Journal (2022) Vol. 61, Iss. 11, pp. 8363-8391
Open Access | Times Cited: 126

Showing 1-25 of 126 citing articles:

Understanding behaviors of compression ignition engine running on metal nanoparticle additives-included fuels: A control comparison between biodiesel and diesel fuel
Anh Tuan Hoang, Minh Xuan Le, Sandro Nižetić, et al.
Fuel (2022) Vol. 326, pp. 124981-124981
Closed Access | Times Cited: 83

Application of novel framework based on ensemble boosted regression trees and Gaussian process regression in modelling thermal performance of small-scale Organic Rankine Cycle (ORC) using hybrid nanofluid
Zafar Said, Prabhakar Sharma, Arun Kumar Tiwari, et al.
Journal of Cleaner Production (2022) Vol. 360, pp. 132194-132194
Closed Access | Times Cited: 81

Optimization of variable compression ratio diesel engine fueled with Zinc oxide nanoparticles and biodiesel emulsion using response surface methodology
R. Hussain Vali, Anh Tuan Hoang, M. Marouf Wani, et al.
Fuel (2022) Vol. 323, pp. 124290-124290
Closed Access | Times Cited: 69

Influence of natural gas and hydrogen properties on internal combustion engine performance, combustion, and emissions: A review
Sattar Jabbar Murad Algayyim, Khalid Saleh, Andrew P. Wandel, et al.
Fuel (2024) Vol. 362, pp. 130844-130844
Open Access | Times Cited: 63

Optimizing IC engine efficiency: A comprehensive review on biodiesel, nanofluid, and the role of artificial intelligence and machine learning
Manzoore Elahi M. Soudagar, Sagar Shelare, Deepali Marghade, et al.
Energy Conversion and Management (2024) Vol. 307, pp. 118337-118337
Open Access | Times Cited: 54

Development of optimized machine learning models for predicting flat plate solar collectors thermal efficiency associated with Al2O3-water nanofluids
Omer A. Alawi, Haslinda Mohamed Kamar, Sinan Q. Salih, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108158-108158
Closed Access | Times Cited: 17

Machine learning applications for electrospun nanofibers: a review
Balakrishnan Subeshan, Asonganyi Atayo, Eylem Asmatulu
Journal of Materials Science (2024) Vol. 59, Iss. 31, pp. 14095-14140
Open Access | Times Cited: 17

Advances, Synergy, and Perspectives of Machine Learning and Biobased Polymers for Energy, Fuels, and Biochemicals for a Sustainable Future
Abu Danish Aiman Bin Abu Sofian, Xun Sun, Vijai Kumar Gupta, et al.
Energy & Fuels (2024) Vol. 38, Iss. 3, pp. 1593-1617
Open Access | Times Cited: 15

Harnessing artificial intelligence for data-driven energy predictive analytics: A systematic survey towards enhancing sustainability
Thanh Tuan Le, J. Chandra Priya, Huu Cuong Le, et al.
International Journal of Renewable Energy Development (2024) Vol. 13, Iss. 2
Open Access | Times Cited: 15

Dual-fuel dual-direct injection: An efficient and clean combustion technology for diesel engines
Tao Li, Pengyun Zhao, Haibin He, et al.
Journal of the Energy Institute (2025), pp. 102006-102006
Closed Access | Times Cited: 2

Multi-attribute optimization of sustainable aviation fuel production-process from microalgae source
Zafar Said, Tuan Hai Nguyen, Prabhakar Sharma, et al.
Fuel (2022) Vol. 324, pp. 124759-124759
Closed Access | Times Cited: 63

Improving the thermal efficiency of a solar flat plate collector using MWCNT-Fe3O4/water hybrid nanofluids and ensemble machine learning
Zafar Said, Prabhakar Sharma, L. Syam Sundar, et al.
Case Studies in Thermal Engineering (2022) Vol. 40, pp. 102448-102448
Open Access | Times Cited: 63

Improving combustion and emission characteristics of a biogas/biodiesel-powered dual-fuel diesel engine through trade-off analysis of operation parameters using response surface methodology
Bhaskor Jyoti Bora, Thanh Dai Tran, Krushna Prasad Shadangi, et al.
Sustainable Energy Technologies and Assessments (2022) Vol. 53, pp. 102455-102455
Closed Access | Times Cited: 61

Enhancement of combustion characteristics of waste cooking oil biodiesel using TiO2 nanofluid blends through RSM
Harveer Singh Pali, Abhishek Sharma, Manish Kumar, et al.
Fuel (2022) Vol. 331, pp. 125681-125681
Open Access | Times Cited: 56

Modeling-optimization of performance and emission characteristics of dual-fuel engine powered with pilot diesel and agricultural-food waste-derived biogas
Zafar Said, Prabhakar Sharma, Bhaskor Jyoti Bora, et al.
International Journal of Hydrogen Energy (2022) Vol. 48, Iss. 18, pp. 6761-6777
Closed Access | Times Cited: 53

Using Bayesian optimization and ensemble boosted regression trees for optimizing thermal performance of solar flat plate collector under thermosyphon condition employing MWCNT-Fe3O4/water hybrid nanofluids
Zafar Said, Prabhakar Sharma, L. Syam Sundar, et al.
Sustainable Energy Technologies and Assessments (2022) Vol. 53, pp. 102708-102708
Closed Access | Times Cited: 47

Biodiesel Emissions: A State-of-the-Art Review on Health and Environmental Impacts
Abdulelah Aljaafari, I.M. Rizwanul Fattah, M.I. Jahirul, et al.
Energies (2022) Vol. 15, Iss. 18, pp. 6854-6854
Open Access | Times Cited: 47

Experimental assessment on characteristics of premixed charge compression ignition engine fueled with multi-walled carbon nanotube-included Tamanu methyl ester
N. Murugu Nachippan, M. Parthasarathy, P. V. Elumalai, et al.
Fuel (2022) Vol. 323, pp. 124415-124415
Closed Access | Times Cited: 44

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

Comparative evaluation of AI ‐based intelligent GEP and ANFIS models in prediction of thermophysical properties of Fe 3 O 4 ‐coated MWCNT hybrid nanofluids for potential application in energy systems
Prabhakar Sharma, Zafar Said, Saim Memon, et al.
International Journal of Energy Research (2022) Vol. 46, Iss. 13, pp. 19242-19257
Open Access | Times Cited: 44

An Analysis of the Effects of Nanofluid-Based Serpentine Tube Cooling Enhancement in Solar Photovoltaic Cells for Green Cities
J. Prakash Arul Jose, Anurag Shrivastava, Prem Kumar Soni, et al.
Journal of Nanomaterials (2023) Vol. 2023, pp. 1-15
Open Access | Times Cited: 31

Combining GA-SVM and NSGA-Ⅲ multi-objective optimization to reduce the emission and fuel consumption of high-pressure common-rail diesel engine
Yuhua Wang, Guiyong Wang, Guozhong Yao, et al.
Energy (2023) Vol. 278, pp. 127965-127965
Closed Access | Times Cited: 31

Influence of hydrogen injection timing and duration on the combustion and emission characteristics of a diesel engine operating on dual fuel mode using biodiesel of dairy scum oil and producer gas
Sadashiva Lalsangi, V.S. Yaliwal, N. R. Banapurmath, et al.
International Journal of Hydrogen Energy (2023) Vol. 48, Iss. 55, pp. 21313-21330
Closed Access | Times Cited: 30

A comparative investigation of advanced machine learning methods for predicting transient emission characteristic of diesel engine
Jianxiong Liao, Jie Hu, Fuwu Yan, et al.
Fuel (2023) Vol. 350, pp. 128767-128767
Closed Access | Times Cited: 27

Using Artificial Neural Networks for Predicting Ship Fuel Consumption
Van Giao Nguyen, R. Sakthivel, Krzysztof Rudzki, et al.
Polish Maritime Research (2023) Vol. 30, Iss. 2, pp. 39-60
Open Access | Times Cited: 27

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