Akshay Chaudhari

769 total citations
19 papers, 580 citations indexed

About

Akshay Chaudhari is a scholar working on Mechanical Engineering, Biomedical Engineering and Mechanics of Materials. According to data from OpenAlex, Akshay Chaudhari has authored 19 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Mechanical Engineering, 9 papers in Biomedical Engineering and 5 papers in Mechanics of Materials. Recurrent topics in Akshay Chaudhari's work include Advanced Surface Polishing Techniques (9 papers), Advanced machining processes and optimization (7 papers) and Advanced Machining and Optimization Techniques (5 papers). Akshay Chaudhari is often cited by papers focused on Advanced Surface Polishing Techniques (9 papers), Advanced machining processes and optimization (7 papers) and Advanced Machining and Optimization Techniques (5 papers). Akshay Chaudhari collaborates with scholars based in Singapore, United States and India. Akshay Chaudhari's co-authors include Hao Wang, Jiong Zhang, A. Senthil Kumar, Yuchao Bai, Keng Soon Woon, Yan Jin Lee, M. Rahman, Alex Quok An Teo, Gavin Kane O’Neill and Annamalai Senthil Kumar and has published in prestigious journals such as Carbon, Journal of Materials Processing Technology and International Journal of Machine Tools and Manufacture.

In The Last Decade

Akshay Chaudhari

17 papers receiving 566 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Akshay Chaudhari Singapore 13 470 299 160 148 94 19 580
S. Kanmani Subbu India 14 541 1.2× 174 0.6× 149 0.9× 92 0.6× 81 0.9× 40 605
Omar Fergani United States 14 763 1.6× 279 0.9× 153 1.0× 269 1.8× 138 1.5× 32 813
Stano Imbrogno Italy 14 592 1.3× 156 0.5× 131 0.8× 189 1.3× 134 1.4× 32 608
H.S. Qi United Kingdom 10 495 1.1× 336 1.1× 117 0.7× 122 0.8× 61 0.6× 22 577
Amir Malakizadi Sweden 16 745 1.6× 229 0.8× 208 1.3× 116 0.8× 233 2.5× 33 794
Guoqiang Yin China 17 692 1.5× 512 1.7× 328 2.0× 49 0.3× 77 0.8× 52 773
Thilo Grove Germany 17 749 1.6× 477 1.6× 238 1.5× 61 0.4× 156 1.7× 76 854
Debajyoti Bhaduri United Kingdom 16 642 1.4× 318 1.1× 224 1.4× 172 1.2× 119 1.3× 37 784
Alberto Bordin Italy 14 791 1.7× 160 0.5× 265 1.7× 216 1.5× 252 2.7× 21 827

Countries citing papers authored by Akshay Chaudhari

Since Specialization
Citations

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

Fields of papers citing papers by Akshay Chaudhari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akshay Chaudhari

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

All Works

19 of 19 papers shown
1.
Chaudhari, Akshay, et al.. (2025). Selection of human embryo for IVF treatment using ensemble machine learning technique. Morphologie. 110(368). 101082–101082.
2.
Paschali, Magdalini, Yu Jiang, Shepard Siegel, et al.. (2024). Spectral Graph Sample Weighting for Interpretable Sub-cohort Analysis in Predictive Models for Neuroimaging. Lecture notes in computer science. 15155. 24–34.
3.
Rahman, M., Tanveer Saleh, Muhammad P. Jahan, et al.. (2023). Review of Intelligence for Additive and Subtractive Manufacturing: Current Status and Future Prospects. Micromachines. 14(3). 508–508. 52 indexed citations
4.
Chaudhari, Akshay, et al.. (2022). Convolutional neural networks for prediction of geometrical errors in incremental sheet metal forming. Journal of Intelligent Manufacturing. 34(5). 2373–2386. 18 indexed citations
5.
Teo, Alex Quok An, et al.. (2021). Post-Processing and Surface Characterization of Additively Manufactured Stainless Steel 316L Lattice: Implications for BioMedical Use. Materials. 14(6). 1376–1376. 33 indexed citations
6.
Chaudhari, Akshay, et al.. (2020). Modeling of dynamic behavior of multispan gundrilling shaft with coolant and its effect on straightness deviation. CIRP journal of manufacturing science and technology. 29. 11–24. 6 indexed citations
7.
Chaudhari, Akshay & Hao Wang. (2019). Effect of surface-active media on chip formation in micromachining. Journal of Materials Processing Technology. 271. 325–335. 23 indexed citations
8.
Zhang, Jiong, Akshay Chaudhari, & Hao Wang. (2019). Surface quality and material removal in magnetic abrasive finishing of selective laser melted 316L stainless steel. Journal of Manufacturing Processes. 45. 710–719. 117 indexed citations
9.
Zhang, Ruopeng, Akshay Chaudhari, Shraddha J. Vachhani, et al.. (2019). High-temperature nanoindentation size effect in fluorite material. International Journal of Mechanical Sciences. 159. 459–466. 17 indexed citations
10.
Lee, Yan Jin, Hao Li, Johann Lüder, et al.. (2019). Micromachining of ferrous metal with an ion implanted diamond cutting tool. Carbon. 152. 598–608. 36 indexed citations
11.
Chaudhari, Akshay, et al.. (2019). Thermal effect on brittle-ductile transition in CaF 2 single crystals. 2 indexed citations
12.
Bai, Yuchao, et al.. (2019). Investigation on the microstructure and machinability of ASTM A131 steel manufactured by directed energy deposition. Journal of Materials Processing Technology. 276. 116410–116410. 59 indexed citations
13.
Lee, Yan Jin, et al.. (2019). Enhancing Ductile-mode Cutting of Calcium Fluoride Single Crystals with Solidified Coating. International Journal of Precision Engineering and Manufacturing-Green Technology. 7(6). 1019–1029. 30 indexed citations
14.
Chaudhari, Akshay, et al.. (2018). Rehbinder effect in ultraprecision machining of ductile materials. International Journal of Machine Tools and Manufacture. 133. 47–60. 65 indexed citations
15.
Zhang, Jiong, et al.. (2018). A novel magnetically driven polishing technique for internal surface finishing. Precision Engineering. 54. 222–232. 52 indexed citations
16.
Malarvizhi, S., Akshay Chaudhari, Keng Soon Woon, Annamalai Senthil Kumar, & Mustafizur Rahman. (2016). Influence of Burnishing Axial Interference on Hole Surface Quality in Deep Hole Drilling of Inconel 718. Procedia Manufacturing. 5. 1295–1307. 9 indexed citations
17.
Chaudhari, Akshay, S. Malarvizhi, Keng Soon Woon, Annamalai Senthil Kumar, & Mustafizur Rahman. (2015). The effects of pilot hole geometry on tool-work engagement efficacy in deep hole drilling. Journal of Manufacturing Processes. 19. 135–141. 19 indexed citations
18.
Woon, Keng Soon, Akshay Chaudhari, M. Rahman, Stephen Wan, & A. Senthil Kumar. (2014). The effects of tool edge radius on drill deflection and hole misalignment in deep hole gundrilling of Inconel-718. CIRP Annals. 63(1). 125–128. 30 indexed citations
19.
Woon, Keng Soon, Akshay Chaudhari, A. Senthil Kumar, & M. M. Rahman. (2014). The Effects of Tool Degradation on Hole Straightness in Deep Hole Gundrilling of Inconel-718. Procedia CIRP. 14. 593–598. 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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