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:

Exploring the performance of biodiesel-hydrogen blends with diverse nanoparticles in diesel engine: A hybrid machine learning K-means clustering approach with weighted performance metrics
Osama Khan, Vakkar Ali, Mohd Parvez, et al.
International Journal of Hydrogen Energy (2024) Vol. 78, pp. 547-563
Closed Access | Times Cited: 11

Showing 11 citing articles:

Application of computational technologies for transesterification of waste cooking oil into biodiesel
Omojola Awogbemi, Dawood Desai
Biomass and Bioenergy (2025) Vol. 194, pp. 107620-107620
Open Access | Times Cited: 2

K-means clustering optimization of various quantum dots and nanoparticles-added biofuels for engine performance, emission, vibration, and noise characteristics
Faisal Khan, Osama Khan, Mohd Parvez, et al.
Thermal Science and Engineering Progress (2024) Vol. 54, pp. 102815-102815
Closed Access | Times Cited: 7

Synthesis of novel biodegradable silica nanoparticles to improve performance and reduce the emission of CRDI engine fueled with hydrogen-enriched biodiesel blend
Abhishek Bharti, Sumita Debbarma
International Journal of Hydrogen Energy (2024) Vol. 93, pp. 441-456
Closed Access | Times Cited: 5

Role of hydrogen-enrichment on performance and emission characteristics of a diesel engine fuelled with metal oxide nanoparticles added biodiesel/diesel blends:A combined neuro Fuzzy-Gaussian Mixture Model analysis
Osama Khan, Ibrahim Alsaduni, Mohd Parvez, et al.
International Journal of Hydrogen Energy (2024) Vol. 93, pp. 1113-1126
Closed Access | Times Cited: 4

Investigation of performance and emissions of a diesel engine fueled with preheated blends of diesel-watermelon seed biodiesel- isopentanol-turmeric oil
Ganesh Chembedu, P.V. Manu
Process Safety and Environmental Protection (2025) Vol. 196, pp. 106863-106863
Closed Access

Advanced machine learning-driven characterization of new natural cellulosic Lablab purpureus fibers through PCA and K-means clustering techniques
M. Ramesh, M. Tamil Selvan, P. Sreenivas, et al.
International Journal of Biological Macromolecules (2025) Vol. 306, pp. 141589-141589
Closed Access

Analysis of combustion characteristics of a diesel engine run on ternary blends using machine learning algorithms
Jakeer Hussain Shaik, Naseem Khayum, Krishna Kumar Pandey
Environmental Progress & Sustainable Energy (2025)
Closed Access

Optimum utilization of rubber seed oil as a sustainable substitute for conventional engines via catalytic cracking reactions and oxygenated nano additives
Arivalagan Pugazhendhi, S.K. Kamarudin, Mohammed Ali Alshehri, et al.
International Journal of Hydrogen Energy (2025)
Closed Access

Development of a novel energy efficient integrated system for concurrent waste water treatment, hydrogen production and carbon capture- A sustainable approach
Osama Khan, Mohd Zaheen Khan, Irfan Habib, et al.
International Journal of Hydrogen Energy (2024)
Closed Access | Times Cited: 2

Comparative analysis of machine learning and artificial intelligence models for optimizing mixed refrigerant characteristics in a hydrogen pre-cooling storage system
Md Shaquib Equbal, Osama Khan, Azhar Equbal, et al.
Journal of Energy Storage (2024) Vol. 102, pp. 114101-114101
Closed Access | Times Cited: 1

Development and selection of lignocellulose biomass and nano-additive combination for co-pyrolysis operation in power generation using hybrid prediction and Machine learning model – A k-means cluster approach
Osama Khan, Mohd Parvez, Aiyeshah Alhodaib, et al.
Sustainable Energy Technologies and Assessments (2024) Vol. 72, pp. 104061-104061
Closed Access

Page 1

Scroll to top