Arnav Jain

1.8k total citations
15 papers, 138 citations indexed

About

Arnav Jain is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Arnav Jain has authored 15 papers receiving a total of 138 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Electrical and Electronic Engineering and 3 papers in Control and Systems Engineering. Recurrent topics in Arnav Jain's work include Advanced Steganography and Watermarking Techniques (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and ECG Monitoring and Analysis (1 paper). Arnav Jain is often cited by papers focused on Advanced Steganography and Watermarking Techniques (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and ECG Monitoring and Analysis (1 paper). Arnav Jain collaborates with scholars based in India, United States and United Kingdom. Arnav Jain's co-authors include Pabitra Mitra, Prabir Kumar Biswas, K. Chidambaram, B. Ashok, Darsh Patel, Rajesh Bhatia, Baljeet Singh, Ruofei Zhang, Jian Jiao and Kushal Dave and has published in prestigious journals such as Scientific Reports, Energies and Sustainable Cities and Society.

In The Last Decade

Arnav Jain

11 papers receiving 136 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arnav Jain India 5 68 28 28 23 13 15 138
Yunzhong Hou Australia 7 126 1.9× 11 0.4× 19 0.7× 68 3.0× 2 0.2× 10 182
Stefano Pellegrini Italy 6 99 1.5× 7 0.3× 9 0.3× 23 1.0× 2 0.2× 9 132
Jinsoo Choi South Korea 7 134 2.0× 10 0.4× 28 1.0× 25 1.1× 2 0.2× 23 172
Junjie Huang China 5 167 2.5× 11 0.4× 9 0.3× 20 0.9× 7 0.5× 11 210
Tian Yang China 6 155 2.3× 3 0.1× 39 1.4× 17 0.7× 8 0.6× 11 232
Bao Xin Chen Canada 5 70 1.0× 7 0.3× 21 0.8× 47 2.0× 6 0.5× 6 111
Khushboo Tripathi India 8 22 0.3× 9 0.3× 28 1.0× 37 1.6× 26 2.0× 33 153
Jinrong Yang China 7 140 2.1× 26 0.9× 8 0.3× 14 0.6× 10 197
Fabian Hüger Germany 9 140 2.1× 24 0.9× 11 0.4× 83 3.6× 4 0.3× 20 197
Chaitanya K. Joshi Singapore 4 52 0.8× 6 0.2× 8 0.3× 57 2.5× 4 0.3× 5 137

Countries citing papers authored by Arnav Jain

Since Specialization
Citations

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

Fields of papers citing papers by Arnav Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arnav Jain

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

All Works

15 of 15 papers shown
1.
Jain, Arnav, et al.. (2025). An explainable deep neural network with frequency-aware channel and spatial refinement for flood prediction in sustainable cities. Sustainable Cities and Society. 130. 106480–106480. 2 indexed citations
2.
Jain, Arnav, et al.. (2025). RareNet: a deep learning model for rare cancer diagnosis. Scientific Reports. 15(1). 22732–22732. 2 indexed citations
3.
Jain, Arnav, et al.. (2024). LSTMSE-Net: Long Short Term Speech Enhancement Network for Audio-visual Speech Enhancement. arXiv (Cornell University). 33–37. 2 indexed citations
4.
Cherukuri, Aswani Kumar, et al.. (2023). A Secure Peer-to-Peer Image Sharing Using Rubik’s Cube Algorithm and Key Distribution Centre. Cybernetics and Information Technologies. 23(3). 126–144.
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Jain, Arnav, et al.. (2022). Cross-Dataset Evaluation of Multimodal Neural Networks for Glaucoma Diagnosis. 1–2. 4 indexed citations
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Bhatia, Rajesh, et al.. (2022). Hash time locked contract based asset exchange solution for probabilistic public blockchains. Cluster Computing. 25(6). 4189–4201. 8 indexed citations
10.
Jain, Arnav, et al.. (2022). Attendance Monitoring System Using Face Recognition. International Journal for Research in Applied Science and Engineering Technology. 10(5). 3024–3029.
11.
Jain, Arnav, et al.. (2021). GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification. 3733–3744. 15 indexed citations
12.
Jain, Arnav, et al.. (2021). Electromechanical Analysis of DFIG under Single Phasing Fault and Air-Gap Eccentricity Fault. 2021 Innovations in Power and Advanced Computing Technologies (i-PACT). 61. 1–6. 1 indexed citations
13.
Jain, Arnav, et al.. (2020). Prior Guided GAN Based Semantic Inpainting. 13693–13702. 66 indexed citations
14.
Jain, Arnav, et al.. (2020). 3D Printed Prosthetic Arm. 109–114. 3 indexed citations
15.
Jain, Arnav, et al.. (2014). A Study of ECG Steganography for Securing Patient's Confidential Data based on Wavelet Transformation. 105(12). 12–16. 3 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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