Vinay Arora

579 total citations
41 papers, 355 citations indexed

About

Vinay Arora is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Computer Networks and Communications. According to data from OpenAlex, Vinay Arora has authored 41 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pulmonary and Respiratory Medicine, 8 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Computer Networks and Communications. Recurrent topics in Vinay Arora's work include Phonocardiography and Auscultation Techniques (9 papers), Software Testing and Debugging Techniques (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Vinay Arora is often cited by papers focused on Phonocardiography and Auscultation Techniques (9 papers), Software Testing and Debugging Techniques (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Vinay Arora collaborates with scholars based in India, United States and Singapore. Vinay Arora's co-authors include Inderveer Chana, Maninder Singh, Raman Singh, E. Y. K. Ng, Arshdeep Singh, Prashant Singh Rana, Rajesh Bhatia, Alireza Jolfaei, Subhash Chandra Patel and Bhisham Sharma and has published in prestigious journals such as Environmental Science and Pollution Research, Applied Sciences and Computers in Biology and Medicine.

In The Last Decade

Vinay Arora

36 papers receiving 334 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vinay Arora India 11 108 83 76 75 58 41 355
Najeeb Ullah Pakistan 8 60 0.6× 85 1.0× 10 0.1× 47 0.6× 44 0.8× 26 284
A. Harshavardhan India 11 112 1.0× 76 0.9× 8 0.1× 45 0.6× 80 1.4× 33 395
Lucas Amorim Brazil 4 62 0.6× 57 0.7× 29 0.4× 29 0.4× 17 0.3× 8 236
V. Radha India 9 127 1.2× 79 1.0× 18 0.2× 38 0.5× 59 1.0× 57 371
Mahmoud M. Bassiouni Egypt 9 79 0.7× 58 0.7× 26 0.3× 39 0.5× 33 0.6× 15 289
Ahmed Abdullah Alqarni Saudi Arabia 8 138 1.3× 34 0.4× 25 0.3× 65 0.9× 56 1.0× 19 350
Mahsa Rezaei Iran 4 109 1.0× 48 0.6× 25 0.3× 60 0.8× 53 0.9× 6 309
Juan-Carlos Pérez-Cortés Spain 12 161 1.5× 19 0.2× 44 0.6× 58 0.8× 8 0.1× 51 355
Abdullah Al Hejaili Saudi Arabia 12 144 1.3× 21 0.3× 24 0.3× 56 0.7× 103 1.8× 45 359
Nizar Alsharif Saudi Arabia 12 166 1.5× 55 0.7× 27 0.4× 72 1.0× 251 4.3× 23 594

Countries citing papers authored by Vinay Arora

Since Specialization
Citations

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

Fields of papers citing papers by Vinay Arora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vinay Arora

This figure shows the co-authorship network connecting the top 25 collaborators of Vinay Arora. A scholar is included among the top collaborators of Vinay Arora 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 Vinay Arora. Vinay Arora 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.
Arora, Vinay, et al.. (2025). Artificial Intelligence Based Techniques to Detect and Classify Adventitious Respiratory Sounds: An in-Depth Review. Archives of Computational Methods in Engineering.
2.
Singh, Archana, Sushma Jain, & Vinay Arora. (2025). Pixel-Attention W-Shaped Network for Joint Lesion Segmentation and Diabetic Retinopathy Severity Staging. Diagnostics. 15(20). 2619–2619.
3.
Singh, Archana, Sushma Jain, & Vinay Arora. (2025). A Multi-Model Image Enhancement and Tailored U-Net Architecture for Robust Diabetic Retinopathy Grading. Diagnostics. 15(18). 2355–2355. 2 indexed citations
4.
Arora, Vinay, et al.. (2024). Heart Sound Classification Using Harmonic and Percussive Spectral Features from Phonocardiograms with a Deep ANN Approach. Applied Sciences. 14(22). 10201–10201. 2 indexed citations
5.
Dhir, Amit, et al.. (2024). Time series–based prediction of antibiotic degradation via photocatalysis using ensemble gradient boosting. Environmental Science and Pollution Research. 31(16). 24315–24328. 2 indexed citations
6.
Arora, Vinay, et al.. (2024). Heart sound classification method using gammatonegram and SVM. Multimedia Tools and Applications. 84(21). 23987–24023. 3 indexed citations
7.
Arora, Vinay, et al.. (2023). An automated diagnosis model for classifying cardiac abnormality utilizing deep neural networks. Multimedia Tools and Applications. 83(13). 39563–39599. 3 indexed citations
8.
Arora, Vinay, et al.. (2023). Classifying the heart sound signals using textural‐based features for an efficient decision support system. Expert Systems. 40(6). 8 indexed citations
9.
Dhir, Amit, et al.. (2023). Photocatalysis based hydrogen production and antibiotic degradation prediction using neural networks. Reaction Kinetics Mechanisms and Catalysis. 136(6). 3283–3297. 8 indexed citations
10.
Rana, Prashant Singh, et al.. (2022). State-of-the-art techniques using pre-operative brain MRI scans for survival prediction of glioblastoma multiforme patients and future research directions. Clinical and Translational Imaging. 10(4). 355–389. 13 indexed citations
11.
Kumar, Satish, et al.. (2022). Application of Petryshyn's fixed point theorem of existence result for non-linear 2D Volterra functional integral equations. Differential Equations & Applications. 487–497. 2 indexed citations
12.
Arora, Vinay, et al.. (2021). Transfer Learning Model to Indicate Heart Health Status Using Phonocardiogram. Computers, materials & continua/Computers, materials & continua (Print). 69(3). 4151–4168. 10 indexed citations
13.
Arora, Vinay, et al.. (2021). Transfer learning-based approach for detecting COVID-19 ailment in lung CT scan. Computers in Biology and Medicine. 135. 104575–104575. 49 indexed citations
14.
Shivani, Shivendra, Subhash Chandra Patel, Vinay Arora, et al.. (2020). Real-time cheating immune secret sharing for remote sensing images. Journal of Real-Time Image Processing. 18(5). 1493–1508. 45 indexed citations
15.
Arora, Vinay, Rajesh Bhatia, & Maninder Singh. (2017). Synthesizing test scenarios in UML activity diagram using a bio-inspired approach. Computer Languages Systems & Structures. 50. 1–19. 12 indexed citations
16.
Arora, Vinay, et al.. (2016). Information retrieval in web crawling: A survey. 2635–2643. 20 indexed citations
17.
Arora, Vinay, et al.. (2015). Complications of Transradial Cardiac Catheterization and Management. Interventional Cardiology Clinics. 4(2). 193–202. 5 indexed citations
18.
Arora, Vinay, et al.. (2014). A novel approach for automatic test sequence generation for java fork/join from activity diagram. 2. 1611–1615. 2 indexed citations
19.
Arora, Vinay, et al.. (2012). Abstract 203: Evaluation of Acute Radial Artery Injury Following Transradial Percutaneous Coronary Intervention by Optical Coherence Tomography. Circulation Cardiovascular Quality and Outcomes. 5(suppl_1). 1 indexed citations
20.
Caterino, Jeffrey M., et al.. (2009). Comparison of balance assessment modalities in emergency department elders: a pilot cross-sectional observational study. BMC Emergency Medicine. 9(1). 19–19. 12 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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