Reliance Jain

675 total citations
38 papers, 517 citations indexed

About

Reliance Jain is a scholar working on Mechanical Engineering, Aerospace Engineering and Biomedical Engineering. According to data from OpenAlex, Reliance Jain has authored 38 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Mechanical Engineering, 26 papers in Aerospace Engineering and 6 papers in Biomedical Engineering. Recurrent topics in Reliance Jain's work include High Entropy Alloys Studies (29 papers), High-Temperature Coating Behaviors (22 papers) and Additive Manufacturing Materials and Processes (17 papers). Reliance Jain is often cited by papers focused on High Entropy Alloys Studies (29 papers), High-Temperature Coating Behaviors (22 papers) and Additive Manufacturing Materials and Processes (17 papers). Reliance Jain collaborates with scholars based in India, South Korea and United States. Reliance Jain's co-authors include Sumanta Samal, Vinod Kumar, Sandeep Jain, Sheetal Kumar Dewangan, M.R. Rahul, Gandham Phanikumar, Nokeun Park, Unhae Lee, Byungmin Ahn and Ayan Bhowmik and has published in prestigious journals such as SHILAP Revista de lepidopterología, Materials Science and Engineering A and Journal of Alloys and Compounds.

In The Last Decade

Reliance Jain

35 papers receiving 503 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Reliance Jain India 16 469 298 80 62 59 38 517
Kaimiao Liu United States 12 723 1.5× 489 1.6× 122 1.5× 64 1.0× 44 0.7× 12 756
Subhradeep Chatterjee India 11 799 1.7× 535 1.8× 183 2.3× 59 1.0× 41 0.7× 27 832
R. Jose Immanuel India 11 502 1.1× 282 0.9× 200 2.5× 72 1.2× 23 0.4× 33 528
Hang Xue China 12 441 0.9× 283 0.9× 252 3.1× 49 0.8× 23 0.4× 20 519
Qunhua Tang China 16 845 1.8× 672 2.3× 79 1.0× 85 1.4× 31 0.5× 29 862
Sezer Picak United States 12 598 1.3× 279 0.9× 245 3.1× 78 1.3× 35 0.6× 17 661
D.D. Zhang China 11 701 1.5× 406 1.4× 283 3.5× 89 1.4× 33 0.6× 14 758
K. Liu United States 14 973 2.1× 698 2.3× 168 2.1× 100 1.6× 40 0.7× 24 1.0k
Yiwen Lei China 11 425 0.9× 124 0.4× 165 2.1× 177 2.9× 46 0.8× 23 501
Meiling Dong China 13 508 1.1× 286 1.0× 193 2.4× 163 2.6× 15 0.3× 20 578

Countries citing papers authored by Reliance Jain

Since Specialization
Citations

This map shows the geographic impact of Reliance Jain's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Reliance Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Reliance Jain more than expected).

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-authorship network of co-authors of Reliance Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Reliance Jain. A scholar is included among the top collaborators of Reliance Jain based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Reliance Jain. Reliance Jain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Nagarjuna, Cheenepalli, Sheetal Kumar Dewangan, Hansung Lee, et al.. (2025). Phase stability and structural properties of heat treated FeCoNiAlSi0.5 high-entropy alloy. Materials Today Communications. 44. 112048–112048. 1 indexed citations
2.
Nagarjuna, Cheenepalli, Hansung Lee, Sheetal Kumar Dewangan, et al.. (2025). Strengthening of Fe60Co15Ni15Cr10 medium entropy alloy via heat-treatment-induced phase transformation and TiC reinforcement. Journal of Alloys and Compounds. 1020. 179453–179453. 2 indexed citations
3.
Jain, Sandeep, Reliance Jain, Vinod Kumar, Sumanta Samal, & Jaichan Lee. (2025). Design strategies and mechanical behaviour of high-strength eutectic high-entropy alloys: A comprehensive review. Journal of Alloys and Compounds. 1022. 180000–180000. 7 indexed citations
4.
Sharma, Himanshu, et al.. (2025). Machine learning-driven design of low-density Ta-Nb-W-V-Zr-Ti-Mo refractory high-entropy alloys for high-temperature applications. SHILAP Revista de lepidopterología. 11. 100199–100199.
5.
Jain, Reliance, Sandeep Jain, Cheenepalli Nagarjuna, et al.. (2025). A Comprehensive Review on Hot Deformation Behavior of High-Entropy Alloys for High Temperature Applications. Metals and Materials International. 31(8). 2181–2213. 17 indexed citations
6.
Jain, Reliance, Sandeep Jain, Sheetal Kumar Dewangan, et al.. (2025). Prediction of alloying element effects on the mechanical behavior of high-pressure die-cast Mg-based alloys. Journal of Magnesium and Alloys. 13(8). 3819–3828. 1 indexed citations
7.
Jain, Reliance, Sandeep Jain, Sheetal Kumar Dewangan, et al.. (2025). Machine-learning-driven prediction of flow curves and development of processing maps for hot-deformed Ni–Cu–Co–Ti–Ta alloy. Journal of Materials Research and Technology. 36. 7447–7456. 5 indexed citations
8.
Sahoo, Baidehish, et al.. (2025). Failure analysis of a torsion spring: A microstructural and finite element assessment. Engineering Failure Analysis. 175. 109560–109560.
9.
Jain, Sandeep, et al.. (2025). Reducing experimental dependency: Machine-learning-based prediction of Co effects on the mechanical properties of AlCrFeNiCox high-entropy alloys. Materials Today Communications. 44. 112055–112055. 8 indexed citations
10.
Jain, Sandeep, et al.. (2024). Leveraging machine learning to minimize experimental trials and predict hot deformation behaviour in dual phase high entropy alloys. Materials Today Communications. 41. 110813–110813. 15 indexed citations
11.
Jain, Sandeep, Reliance Jain, Sheetal Kumar Dewangan, & Ayan Bhowmik. (2024). A Machine learning perspective on hardness prediction in multicomponent Al-Mg based lightweight alloys. Materials Letters. 365. 136473–136473. 18 indexed citations
12.
Jain, Reliance, et al.. (2024). Machine learning-driven insights into phase prediction for high entropy alloys. SHILAP Revista de lepidopterología. 8. 100110–100110. 16 indexed citations
13.
Jain, Sandeep, Reliance Jain, Vinod Kumar, & Sumanta Samal. (2024). Data-driven design of high bulk modulus high entropy alloys using machine learning. SHILAP Revista de lepidopterología. 8. 100128–100128. 16 indexed citations
14.
Jain, Sandeep, et al.. (2024). Harnessing machine learning for predicting mechanical properties of lightweight Mg alloys. Materials Letters. 378. 137597–137597. 13 indexed citations
15.
Dewangan, Sheetal Kumar, Cheenepalli Nagarjuna, Hansung Lee, et al.. (2024). Advances in Powder Metallurgy for High-Entropy Alloys. 31(6). 480–492. 3 indexed citations
16.
Jain, Reliance, M.R. Rahul, Sumanta Samal, et al.. (2023). Integrated experimental and modeling approach for hot deformation behavior of Co–Cr–Fe–Ni–V high entropy alloy. Journal of Materials Research and Technology. 25. 840–854. 11 indexed citations
17.
Dewangan, Sheetal Kumar, Cheenepalli Nagarjuna, Reliance Jain, et al.. (2023). Review on applications of artificial neural networks to develop high entropy alloys: A state-of-the-art technique. Materials Today Communications. 37. 107298–107298. 30 indexed citations
18.
Jain, Reliance, et al.. (2023). Prediction of Hot Deformation Behavior in AlCoCrFeNi2.1 Eutectic High Entropy Alloy by Conventional and Artificial Neural Network Modeling. Transactions of Indian National Academy of Engineering. 9(3). 709–724. 13 indexed citations
19.
Jain, Reliance, M.R. Rahul, Ashok Kumar, et al.. (2020). Development of ultrahigh strength novel Co–Cr–Fe–Ni–Zr quasi-peritectic high entropy alloy by an integrated approach using experiment and simulation. Materialia. 14. 100896–100896. 43 indexed citations
20.
Jain, Reliance, M.R. Rahul, Sumanta Samal, Vinod Kumar, & Gandham Phanikumar. (2019). Hot workability of Co–Fe–Mn–Ni–Ti eutectic high entropy alloy. Journal of Alloys and Compounds. 822. 153609–153609. 31 indexed citations

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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