Reliance Jain

735 citations

42 papers · 574 · h-index 17

Impact in

Mechanical Engineering top 5%
- High Entropy Alloys Studies
- Additive Manufacturing Materials and Processes
- Advanced materials and composites
- Aluminum Alloys Composites Properties
Aerospace Engineering top 5%
- High-Temperature Coating Behaviors
- Aluminum Alloy Microstructure Properties

Papers in

Mechanical Engineering 38
- High Entropy Alloys Studies 30
- Additive Manufacturing Materials and Processes 17
- Advanced materials and composites 11
- Aluminum Alloys Composites Properties 3
Aerospace Engineering 26
- High-Temperature Coating Behaviors 22
- Aluminum Alloy Microstructure Properties 4

Co-authors: Sumanta Samal (23 shared papers)Vinod Kumar (12 shared papers)Sandeep Jain (18 shared papers)Sheetal Kumar Dewangan (22 shared papers)M.R. Rahul (9 shared papers)Gandham Phanikumar (7 shared papers)Nokeun Park (3 shared papers)Byungmin Ahn (16 shared papers)
Journals: Journal of Materials Research and Technology (6 papers)Journal of Alloys and Compounds (5 papers)Metals and Materials International (3 papers)Materials Letters (2 papers)Materialia (1 paper)
Partner nations: India South Korea United States

In The Last Decade

Reliance Jain

37 papers receiving 568 citations

Peers

Countries citing papers authored by Reliance Jain

Since Specialization

Citations

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Fields of papers citing papers by Reliance Jain

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Reliance Jain. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Reliance Jain. The network helps show where Reliance Jain may publish in the future.

Co-authors

The 25 scholars most cited alongside Reliance Jain, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Reliance Jain Line = papers co-authored together Reliance Jain links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

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#	Work
1	Machine-learning-guided phase identification and hardness prediction of Al-Co-Cr-Fe-Mn-Nb-Ni-V containing high entropy alloys Journal of Alloys and Compounds ·Reliance Jain, Unhae Lee, Sumanta Samal, Nokeun Park	2023	46
2	Development of ultrahigh strength novel Co–Cr–Fe–Ni–Zr quasi-peritectic high entropy alloy by an integrated approach using experiment and simulation Materialia ·Reliance Jain, Avi Jain, M.R. Rahul, Ashok Kumar, Mrigendra Dubey, Rama Krushna Sabat, Sumanta Samal, Gandham Phanikumar	2020	44
3	Review on applications of artificial neural networks to develop high entropy alloys: A state-of-the-art technique Materials Today Communications ·Sheetal Kumar Dewangan, Cheenepalli Nagarjuna, Reliance Jain, Rameshwar L. Kumawat, Vinod Kumar, Ashutosh Sharma, Byungmin Ahn	2023	37
4	Hot workability of Co–Fe–Mn–Ni–Ti eutectic high entropy alloy Journal of Alloys and Compounds ·Reliance Jain, M.R. Rahul, Sumanta Samal, Vinod Kumar, Gandham Phanikumar	2019	35
5	Artificial neural network approach for microhardness prediction of eight component FeCoNiCrMnVAlNb eutectic high entropy alloys Materials Science and Engineering A ·Reliance Jain, Sheetal Kumar Dewangan, Vinod Kumar, Sumanta Samal	2020	34
6	Phase Evolution and Mechanical Behaviour of Co–Fe–Mn–Ni–Ti Eutectic High Entropy Alloys Transactions of the Indian Institute of Metals ·Reliance Jain, M.R. Rahul, Sandeep Jain, Sumanta Samal, Vinod Kumar	2018	28
7	Enhancing flow stress predictions in CoCrFeNiV high entropy alloy with conventional and machine learning techniques Journal of Materials Research and Technology ·Sheetal Kumar Dewangan, Reliance Jain, Soumyabrata Bhattacharjee, Sandeep Jain, Manikant Paswan, Sumanta Samal, Byungmin Ahn	2024	28
8	Constitutive and Artificial Neural Network Modeling to Predict Hot Deformation Behavior of CoFeMnNiTi Eutectic High-Entropy Alloy Journal of Materials Engineering and Performance ·Reliance Jain, Priyanka Umre, Rama Krushna Sabat, Vinod Kumar, Sumanta Samal	2022	24
9	A Comprehensive Review on Hot Deformation Behavior of High-Entropy Alloys for High Temperature Applications Metals and Materials International ·Reliance Jain, Sandeep Jain, Cheenepalli Nagarjuna, Sumanta Samal, Anuja P. Rananavare, Sheetal Kumar Dewangan, Byungmin Ahn	2025	20
10	High Temperature Deformation Behavior and Processing Maps of FeCoNiCrAlTi Dual Phase High Entropy Alloy Metals and Materials International ·Piyush Kumar, Reliance Jain, M.R. Rahul, Abhijit Ghosh, Sumanta Samal, Gandham Phanikumar	2023	19
11	Machine learning approach for predicting yield strength of nitrogen-doped CoCrFeMnNi high entropy alloys at selective thermomechanical processing conditions Journal of Materials Research and Technology ·Mokali Veeresham, Reliance Jain, Unhae Lee, Nokeun Park	2023	19
12	Data-driven design of high bulk modulus high entropy alloys using machine learning DOAJ (DOAJ: Directory of Open Access Journals) ·Sandeep Jain, Reliance Jain, Vinod Kumar, Sumanta Samal	2024	18
13	A Machine learning perspective on hardness prediction in multicomponent Al-Mg based lightweight alloys Materials Letters ·Sandeep Jain, Reliance Jain, Sheetal Kumar Dewangan, Ayan Bhowmik	2024	18
14	Designing low-thermal-expansivity, high-conductivity alloys in the Cu-Fe-Ni ternary system JOM ·Rand Duprez Cottle, Xiaofeng Chen, Reliance Jain, Z. Eliezer, L. Rabenberg, M. E. Fine	1998	16
15	Design and deformation characteristics of single-phase Co-Cr-Fe-Ni-V high entropy alloy Journal of Alloys and Compounds ·Reliance Jain, M.R. Rahul, Poulami Chakraborty, Rama Krushna Sabat, Sumanta Samal, Gandham Phanikumar, R. Tewari	2021	16
16	Leveraging machine learning to minimize experimental trials and predict hot deformation behaviour in dual phase high entropy alloys Materials Today Communications ·Sandeep Jain, Reliance Jain, K. Raja Rao, Ayan Bhowmik	2024	16
17	Machine learning-driven insights into phase prediction for high entropy alloys DOAJ (DOAJ: Directory of Open Access Journals) ·Reliance Jain, Sandeep Jain, Sheetal Kumar Dewangan, L. Boriwal, Sumanta Samal	2024	16
18	Harnessing machine learning for predicting mechanical properties of lightweight Mg alloys Materials Letters ·Sandeep Jain, Reliance Jain, Mahesh Patel, Baidehish Sahoo, Ayan Bhowmik	2024	15
19	Phase Equilibria and Mechanical Properties in Multicomponent Al–Ni–X (X = Fe, Cr) Alloys Transactions of the Indian Institute of Metals ·Sandeep Jain, Reliance Jain, M.R. Rahul, Sumanta Samal, Vinod Kumar	2018	14
20	Integrated experimental and modeling approach for hot deformation behavior of Co–Cr–Fe–Ni–V high entropy alloy Journal of Materials Research and Technology ·Reliance Jain, M.R. Rahul, Poulami Chakraborty, Rama Krushna Sabat, Sumanta Samal, Nokeun Park, Gandham Phanikumar, R. Tewari	2023	13

About Reliance Jain

Reliance Jain is a scholar working on Mechanical Engineering, Aerospace Engineering, Biomedical Engineering, Materials Chemistry and Biomaterials, having authored 42 papers that have together received 574 indexed citations. Recurring topics across this work include High Entropy Alloys Studies (30 papers), High-Temperature Coating Behaviors (22 papers), Additive Manufacturing Materials and Processes (17 papers), Advanced materials and composites (11 papers), Aluminum Alloy Microstructure Properties (4 papers), Advanced Materials Characterization Techniques (4 papers), Aluminum Alloys Composites Properties (3 papers) and Microstructure and mechanical properties (3 papers). The work is most often cited by research in Mechanical Engineering (506 citations), Aerospace Engineering (304 citations), Mechanics of Materials (68 citations), Metals and Alloys (6 citations) and Materials Chemistry (82 citations). Reliance Jain has collaborated with scholars based in India, South Korea and United States. Frequent co-authors include Sumanta Samal, Vinod Kumar, Sandeep Jain, Sheetal Kumar Dewangan, M.R. Rahul, Gandham Phanikumar, Nokeun Park, Byungmin Ahn, Unhae Lee and Ayan Bhowmik. Their work appears in journals such as Journal of Materials Research and Technology, Journal of Alloys and Compounds, Metals and Materials International, Materials Letters and Materialia.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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