S. Jayaraj

Mechanical Engineering · 2005–2019

A researcher in the Science corpus: 5 papers; trusts 12 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Mechanical Engineering — 33 citations into it
• Renewable Energy, Sustainability and the Environment — 19 citations into it
• Artificial Intelligence — 11 citations into it
• Building and Construction — 10 citations into it
• Electrical and Electronic Engineering — 7 citations into it
• Biomedical Engineering — 5 citations into it; #7,292 of 10,734 by trust here, #9,032 by citations
• Computational Mechanics — 5 citations into it

Whom S. Jayaraj trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Soteris A. Kalogirou
2. Donald F. Specht
3. Adel Mellit
4. Hikmet Esen
5. G. Huminic
6. M. Mehrabi
7. W. Zhang
8. Adnan Sözen
9. L. Ruspini
10. Gongnan Xie

Who trusts S. Jayaraj overall

1. V. E. Geo

Papers from S. Jayaraj's perspective

Ordered by how strongly the researchers S. Jayaraj trusts endorse each paper. Same corpus, a different order for every researcher.

1. Heat transfer analysis of phase change process in a finned-tube thermal energy storage system using artificial neural network
2. Applications of artificial neural-networks for energy systems
3. Application of nanofluids in heat exchangers: A review
4. Three learning phases for radial-basis-function networks
5. Correlations of two-phase frictional pressure drop and void fraction in mini-channel
6. Modeling of heat transfer and fluid flow characteristics of helicoidal double-pipe heat exchangers using Adaptive Neuro-Fuzzy Inference System (ANFIS)
7. An experimental study on the design parameters of a counterflow vortex tube
8. Comparison of different controllers for variable speed compressor and electronic expansion valve
9. Artificial intelligence for the modeling and control of combustion processes: a review
10. A general regression neural network

Their papers

• Characterization and effect of using rubber seed oil as fuel in the compression ignition engines (2005) — 363 citations
• A cost-effective method to improve the performance of solar air heaters using discrete macro-encapsulated PCM capsules for drying applications (2019) — 140 citations
• Applications of artificial neural networks for thermal analysis of heat exchangers – A review (2015) — 298 citations
• Applications of artificial neural networks for refrigeration, air-conditioning and heat pump systems—A review (2012) — 393 citations
• Performance prediction of a direct expansion solar assisted heat pump using artificial neural networks (2009) — 107 citations