Vinay Vakharia

1.6k total citations
45 papers, 1.1k citations indexed

About

Vinay Vakharia is a scholar working on Mechanical Engineering, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Vinay Vakharia has authored 45 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Mechanical Engineering, 13 papers in Control and Systems Engineering and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Vinay Vakharia's work include Machine Fault Diagnosis Techniques (13 papers), Gear and Bearing Dynamics Analysis (10 papers) and Fault Detection and Control Systems (8 papers). Vinay Vakharia is often cited by papers focused on Machine Fault Diagnosis Techniques (13 papers), Gear and Bearing Dynamics Analysis (10 papers) and Fault Detection and Control Systems (8 papers). Vinay Vakharia collaborates with scholars based in India, United Kingdom and Saudi Arabia. Vinay Vakharia's co-authors include Pavan Kumar Kankar, Vijay Gupta, Milind Shah, M. B. Kiran, Pranav Nair, Dhiren Patel, Jay Vora, Rakesh Chaudhari, Danil Yurievich Pimenov and Khaled Giasin and has published in prestigious journals such as Scientific Reports, Construction and Building Materials and Sensors.

In The Last Decade

Vinay Vakharia

41 papers receiving 1.1k 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 Vakharia India 22 481 407 245 158 134 45 1.1k
Alaa Abdulhady Jaber Iraq 23 350 0.7× 558 1.4× 197 0.8× 142 0.9× 192 1.4× 84 1.4k
Zhipeng Wang China 23 571 1.2× 502 1.2× 173 0.7× 145 0.9× 324 2.4× 111 1.5k
Xueyi Li China 20 460 1.0× 712 1.7× 196 0.8× 288 1.8× 159 1.2× 50 1.5k
Miao He United States 13 423 0.9× 576 1.4× 146 0.6× 196 1.2× 58 0.4× 22 964
Dengji Zhou China 21 316 0.7× 498 1.2× 407 1.7× 245 1.6× 78 0.6× 93 1.5k
Weitao Li China 19 291 0.6× 316 0.8× 256 1.0× 63 0.4× 90 0.7× 105 1.0k
Yongqiang Liu China 20 929 1.9× 796 2.0× 94 0.4× 332 2.1× 158 1.2× 101 1.4k

Countries citing papers authored by Vinay Vakharia

Since Specialization
Citations

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

Fields of papers citing papers by Vinay Vakharia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vinay Vakharia

This figure shows the co-authorship network connecting the top 25 collaborators of Vinay Vakharia. A scholar is included among the top collaborators of Vinay Vakharia 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 Vakharia. Vinay Vakharia 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
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Vakharia, Vinay, et al.. (2025). An ensemble learning approach for predicting nanoparticle dispersion properties in cutting fluids using a small sample dataset. International Journal of Thermofluids. 27. 101262–101262. 1 indexed citations
3.
Vakharia, Vinay, et al.. (2025). ANN and Multilayer-ELM based prediction of combustion, performance and emission characteristics of a diesel engine fuelled with Diesel-DTBP blends. Case Studies in Thermal Engineering. 72. 106323–106323. 4 indexed citations
4.
Patel, Dhruvesh, et al.. (2024). UAV-based DEM augmentation using ConSinGAN for efficient flood parameter prediction with machine learning and 1D hydrodynamic models. Physics and Chemistry of the Earth Parts A/B/C. 135. 103675–103675. 5 indexed citations
5.
Vakharia, Vinay, et al.. (2024). Deep Learning-Based Stock Market Prediction and Investment Model for Financial Management. Journal of Organizational and End User Computing. 36(1). 1–22. 3 indexed citations
6.
Liu, Rong & Vinay Vakharia. (2024). Optimizing Supply Chain Management Through BO-CNN-LSTM for Demand Forecasting and Inventory Management. Journal of Organizational and End User Computing. 36(1). 1–25. 9 indexed citations
7.
Shah, Milind, et al.. (2024). Utilizing TGAN and ConSinGAN for Improved Tool Wear Prediction: A Comparative Study with ED-LSTM, GRU, and CNN Models. Electronics. 13(17). 3484–3484. 18 indexed citations
8.
Agrawal, Hitesh, et al.. (2024). Deep Learning-Enhanced Small-Sample Bearing Fault Analysis Using Q-Transform and HOG Image Features in a GRU-XAI Framework. Machines. 12(6). 373–373. 22 indexed citations
9.
Nair, Pranav, Vinay Vakharia, Milind Shah, et al.. (2024). AI-Driven Digital Twin Model for Reliable Lithium-Ion Battery Discharge Capacity Predictions. International Journal of Intelligent Systems. 2024. 1–18. 47 indexed citations
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Vakharia, Vinay, et al.. (2023). Estimation of Lithium-ion Battery Discharge Capacity by Integrating Optimized Explainable-AI and Stacked LSTM Model. Batteries. 9(2). 125–125. 63 indexed citations
12.
Patel, Dhruvesh, et al.. (2023). Watershed prioritization and decision-making based on weighted sum analysis, feature ranking, and machine learning techniques. Arabian Journal of Geosciences. 16(1). 8 indexed citations
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Shah, Milind, Vinay Vakharia, Rakesh Chaudhari, et al.. (2022). Tool wear prediction in face milling of stainless steel using singular generative adversarial network and LSTM deep learning models. The International Journal of Advanced Manufacturing Technology. 121(1-2). 723–736. 63 indexed citations
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Vakharia, Vinay, Jay Vora, Sakshum Khanna, et al.. (2022). Experimental investigations and prediction of WEDMed surface of nitinol SMA using SinGAN and DenseNet deep learning model. Journal of Materials Research and Technology. 18. 325–337. 44 indexed citations
17.
Patel, Dhiren, M. B. Kiran, & Vinay Vakharia. (2020). Modeling and prediction of surface roughness using multiple regressions: A noncontact approach. Engineering Reports. 2(2). 28 indexed citations
18.
Vakharia, Vinay, et al.. (2018). Tool wear rate prediction using discrete wavelet transform and K-Star algorithm. Life Cycle Reliability and Safety Engineering. 7(3). 115–125. 10 indexed citations
19.
Vakharia, Vinay, Vijay Gupta, & Pavan Kumar Kankar. (2015). A comparison of feature ranking techniques for fault diagnosis of ball bearing. Soft Computing. 20(4). 1601–1619. 100 indexed citations
20.
Vakharia, Vinay, Vijay Gupta, & Pavan Kumar Kankar. (2015). Ball Bearing Fault Diagnosis using Supervised and Unsupervised Machine Learning Methods. The International Journal of Acoustics and Vibration. 20(4). 45 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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