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Kiran Raj Bukkarapu

Observed name: B. K. Raj
ORCID: 0000-0002-2670-1687
Observed ORCID: 0000-0002-2670-1687
OpenAlex ID: A5083990172
A critical review on available models to predict engine fuel properties of biodiesel
2021 · Kiran Raj Bukkarapu, Anand Krishnasamy · Renewable and Sustainable Energy Reviews · 92
A comprehensive review of biodiesel property prediction models for combustion modeling studies
2021 · Anand Krishnasamy, Kiran Raj Bukkarapu · Fuel · 88
A composition based approach to predict density, viscosity and surface tension of biodiesel fuels
2020 · Shashank Mishra, Kiran Raj Bukkarapu, et al. · Fuel · 82
A study on the effects of compositional variations of biodiesel fuel on its physiochemical properties
2018 · Kiran Raj Bukkarapu, Anand Krishnasamy · Biofuels · 36
Support vector regression approach to optimize the biodiesel composition for improved engine performance and lower exhaust emissions
2023 · Kiran Raj Bukkarapu, Anand Krishnasamy · Fuel · 32
Predicting engine fuel properties of biodiesel and biodiesel-diesel blends using spectroscopy based approach
2022 · Kiran Raj Bukkarapu, Anand Krishnasamy · Fuel Processing Technology · 28
Management, conversion, and utilization of waste plastic as a source of sustainable energy to run automotive: a review
2018 · Kiran Raj Bukkarapu, D. Siva Gangadhar, et al. · Energy Sources Part A Recovery Utilization and Environmental Effects · 28
Comparative study of different biodiesel–diesel blends
2017 · Kiran Raj Bukkarapu · International Journal of Ambient Energy · 27
Fourier-Transform-Infrared-Spectroscopy-Based Approach to Predict Engine Fuel Properties of Biodiesel
2021 · Kiran Raj Bukkarapu, Anand Krishnasamy · Energy & Fuels · 26
The best suitable alternative to diesel in a compression ignition engine between waste plastic oil and waste tire oil blends with diesel
2019 · B. K. Raj, Y. Jyothi, et al. · Energy Sources Part A Recovery Utilization and Environmental Effects · 26
Advancements in In-Cylinder and After-Treatment Strategies for Mitigating Pollutants from Diesel Engines: A Critical Review
2024 · Samantha Da Costa, Kiran Raj Bukkarapu, et al. · Energy & Fuels · 25
Biodiesel composition based machine learning approaches to predict engine fuel properties
2023 · Kiran Raj Bukkarapu, Anand Krishnasamy · Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering · 23
Effects of blending on the properties of diesel and palm biodiesel
2018 · Kiran Raj Bukkarapu, T Srinivas Rahul, et al. · IOP Conference Series Materials Science and Engineering · 23
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Investigations on the applicability of machine learning algorithms to optimize biodiesel composition for improved engine fuel properties
2024 · Kiran Raj Bukkarapu, Anand Krishnasamy · International Journal of Engine Research · 22
A relative assessment of chromatographic and spectroscopic based approaches to predict engine fuel properties of biodiesel
2021 · Kiran Raj Bukkarapu, Anand Krishnasamy · Fuel Processing Technology · 19
Evaluating the feasibility of machine learning algorithms for combustion regime classification in biodiesel-fueled homogeneous charge compression ignition engines
2024 · Kiran Raj Bukkarapu, Anand Krishnasamy · Fuel · 18
Fourier Transform Infrared Spectroscopy Models to Predict Cetane Number of Different Biodiesels and Their Blends
2020 · Kiran Raj Bukkarapu, Anand Krishnasamy · SAE technical papers on CD-ROM/SAE technical paper series · 15
Applications of machine learning techniques to broaden operating envelope of biodiesel-fueled HCCI engines
2024 · Kiran Raj Bukkarapu, Anand Krishnasamy · International Journal of Engine Research · 7
Spectroscopy-Based Machine Learning Approach to Predict Engine Fuel Properties of Biodiesel
2024 · Kiran Raj Bukkarapu, Anand Krishnasamy · SAE International Journal of Engines · 7
Charge Dilution Strategy to Extend the Stable Combustion Regime of a Homogenous Charge Compression Ignited Engine Operated With Biodiesel
2023 · Kiran Raj Bukkarapu, Anand Krishnasamy · SAE technical papers on CD-ROM/SAE technical paper series · 5
Machine learning-driven biodiesel feedstock selection for improved engine performance and emission control
2026 · Kiran Raj Bukkarapu, Anand Krishnasamy · International Journal of Engine Research · 3
A Novel Reference Property-Based Approach to Predict Properties of Diesel Blended with Biodiesel Produced from Different Feedstocks
2021 · Kiran Raj Bukkarapu, C. K. Suraj, et al. · SAE international journal of fuels and lubricants · 3
Data‑driven hydrogen-diesel dual‑fuel retrofit solution for legacy power generator‑set engines
2026 · Jayagopal Narayanan, Y.V.V. Satya Narayana Murthy, et al. · Fuel · 1
Review of: "Infrared Spectroscopy (FT-NIR) and t-Distributed Stochastic Neighbor Embedding (t-SNE) as an Analytical Methodology for Rapid Identification of Tea Adulteration"
2024 · Kiran Raj Bukkarapu · Qeios
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Review of: "Adoption of Machine Learning Methods for Crop Yield Prediction-based Smart Agriculture and Sustainable Growth of Crop Yield Production – Case Study in Jordan"
2024 · Kiran Raj Bukkarapu · Qeios
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Works count: 25
Citation count: 636
H-index: 16
I10-index: 17
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