Prince Jain

2.5k total citations
154 papers, 1.8k citations indexed

About

Prince Jain is a scholar working on Nuclear and High Energy Physics, Electrical and Electronic Engineering and Aerospace Engineering. According to data from OpenAlex, Prince Jain has authored 154 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Nuclear and High Energy Physics, 33 papers in Electrical and Electronic Engineering and 28 papers in Aerospace Engineering. Recurrent topics in Prince Jain's work include High-Energy Particle Collisions Research (54 papers), Particle physics theoretical and experimental studies (39 papers) and Nuclear physics research studies (21 papers). Prince Jain is often cited by papers focused on High-Energy Particle Collisions Research (54 papers), Particle physics theoretical and experimental studies (39 papers) and Nuclear physics research studies (21 papers). Prince Jain collaborates with scholars based in India, United States and Malaysia. Prince Jain's co-authors include G. Singh, Kaushik Sengupta, Sanjeev Kumar, Neha Sardana, Arun Kumar Singh, Krishna Prakash, Shonak Bansal, Neena Gupta, Mohammad Tariqul Islam and Sanketsinh Thakor and has published in prestigious journals such as Physical Review Letters, Scientific Reports and Nuclear Physics B.

In The Last Decade

Prince Jain

142 papers receiving 1.7k citations

Peers

Prince Jain

NHEP

EOMM

EEE

Xiaofeng Wei China

Liancheng Wang China

Quan Liu China

H. Yamada Japan

Takashi Kato Japan

V. E. Semenov Russia

A. Hunt United States

Yue Wu China

Keiji Watanabe Japan

Xiaofeng Wei China

Prince Jain

121 ×0.2

NHEP

59 ×0.1

EOMM

317 ×0.8

325 ×0.8

EEE

246 ×0.8

Citations per year, relative to Prince Jain Prince Jain (= 1×) peers Xiaofeng Wei

Countries citing papers authored by Prince Jain

Since Specialization

Citations

This map shows the geographic impact of Prince 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 Prince Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prince Jain more than expected).

Fields of papers citing papers by Prince Jain

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prince 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 Prince Jain. The network helps show where Prince Jain may publish in the future.

Co-authorship network of co-authors of Prince Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Prince Jain. A scholar is included among the top collaborators of Prince 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 Prince Jain. Prince Jain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Jain, Prince, et al.. (2025). Enhanced cardiovascular diagnostics using wearable ECG and bioimpedance monitoring with LightGBM classifier. Biosensors and Bioelectronics X. 24. 100617–100617. 4 indexed citations

Panda, Ganapati, et al.. (2025). Handwritten Amharic Character Recognition Through Transfer Learning: Integrating CNN Models and Machine Learning Classifiers. IEEE Access. 13. 52134–52148. 3 indexed citations

Jain, Prince, et al.. (2025). Exploring molecular interactions and dielectric relaxation in n-octanol/DMF binary mixtures: a machine learning-enhanced VNA study. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 339. 126271–126271. 4 indexed citations

Jain, Prince, Chhavi Sharma, Anupam Jyoti, et al.. (2025). Biomimetic Chitosan-Based Hydrogels for Sustainable Wound Healing With AI/ML Insights. IEEE Open Journal of Engineering in Medicine and Biology. 6. 450–458. 1 indexed citations

Pataniya, Pratik M., et al.. (2024). Versatile photo-sensing ability of paper based flexible 2D-Sb0.3Sn0.7Se2 photodetector and performance prediction with machine learning algorithm. Optical Materials. 152. 115547–115547. 18 indexed citations

Jain, Prince, et al.. (2024). EEG-based detection of cognitive load using VMD and LightGBM classifier. International Journal of Machine Learning and Cybernetics. 15(9). 4193–4210. 32 indexed citations

Jain, Prince, Mohammad Tariqul Islam, & Ahmed S. Alshammari. (2024). Comparative analysis of machine learning techniques for metamaterial absorber performance in terahertz applications. Alexandria Engineering Journal. 103. 51–59. 40 indexed citations

Soni, Gaurav Kumar, Dinesh Yadav, Ashok Kumar, Prince Jain, & Amit Rathi. (2024). Design and SAR analysis of DGS based deformed microstrip antenna for ON/OFF body smart wearable IoT applications. Physica Scripta. 100(1). 15536–15536. 5 indexed citations

Prakash, Krishna, Prince Jain, Chandra S. Pathak, et al.. (2024). Single‐Crystal Perovskite Halide: Crystal Growth to Devices Applications. Energy Technology. 13(7). 8 indexed citations

10.

Jain, Prince, et al.. (2024). Compact polarization-insensitive microwave metamaterial absorber with hepta-band characteristics. Physica Scripta. 99(7). 75541–75541. 8 indexed citations

11.

Kanungo, Priyadarshi, et al.. (2024). An Efficient Low Complex-Functional Link Artificial Neural Network-Based Framework for Uneven Light Image Thresholding. IEEE Access. 12. 118315–118338. 9 indexed citations

12.

Chauhan, Urvashi, Himanshu Chhabra, Prince Jain, et al.. (2023). Chaos inspired invasive weed optimization algorithm for parameter estimation of solar PV models. 27. 100239–100239. 17 indexed citations

13.

Jain, Prince, Krishna Prakash, Neha Sardana, et al.. (2022). Quad-band polarization sensitive terahertz metamaterial absorber using Gemini-shaped structure. Results in Optics. 8. 100254–100254. 24 indexed citations

14.

Jain, Prince, Krishna Prakash, Neha Sardana, et al.. (2022). Design of an ultra-thin hepta-band metamaterial absorber for sensing applications. Optical and Quantum Electronics. 54(9). 33 indexed citations

15.

Prakash, Krishna, Shonak Bansal, Prince Jain, et al.. (2022). Thermoelectric rectification in graphene based Y-junction. Micro and Nanostructures. 167. 207242–207242. 8 indexed citations

16.

Jain, Prince, Shonak Bansal, & Piyush Samant. (2022). Metamaterial Absorbers for IoT Applications. 300–303. 1 indexed citations

17.

Prakash, Krishna, Shonak Bansal, Prince Jain, et al.. (2021). Thermoelectric rectification in a graphene-based triangular ballistic rectifier (G-TBR). Journal of Computational Electronics. 20(6). 2308–2316. 11 indexed citations

18.

Prakash, Krishna, Shonak Bansal, Kuldeep Sharma, et al.. (2021). Thermoelectric Effect in Graphene-Based Three-Terminal Junction. IEEE Transactions on Nanotechnology. 20. 733–738. 9 indexed citations

19.

Jain, Prince, Shonak Bansal, Krishna Prakash, et al.. (2020). Graphene-based tunable multi-band metamaterial polarization-insensitive absorber for terahertz applications. Journal of Materials Science Materials in Electronics. 31(14). 11878–11886. 54 indexed citations

20.

Bansal, Shonak, Kuldeep Sharma, Prince Jain, et al.. (2018). Bilayer graphene/HgCdTe based very long infrared photodetector with superior external quantum efficiency, responsivity, and detectivity. RSC Advances. 8(69). 39579–39592. 47 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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