Snehanjan Acharyya

697 total citations
24 papers, 556 citations indexed

About

Snehanjan Acharyya is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Bioengineering. According to data from OpenAlex, Snehanjan Acharyya has authored 24 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Electrical and Electronic Engineering, 20 papers in Biomedical Engineering and 14 papers in Bioengineering. Recurrent topics in Snehanjan Acharyya's work include Gas Sensing Nanomaterials and Sensors (21 papers), Advanced Chemical Sensor Technologies (20 papers) and Analytical Chemistry and Sensors (14 papers). Snehanjan Acharyya is often cited by papers focused on Gas Sensing Nanomaterials and Sensors (21 papers), Advanced Chemical Sensor Technologies (20 papers) and Analytical Chemistry and Sensors (14 papers). Snehanjan Acharyya collaborates with scholars based in India and Taiwan. Snehanjan Acharyya's co-authors include Prasanta Kumar Guha, Sudip Nag, Sanjay Kimbahune, Arpan Pal, Avik Ghose, Goutam Saha, Plaban Kumar Bhowmick, P. Banerji, S. B. Majumder and Indrajit Chakrabarti and has published in prestigious journals such as Food Chemistry, ACS Applied Materials & Interfaces and Analytica Chimica Acta.

In The Last Decade

Snehanjan Acharyya

23 papers receiving 543 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Snehanjan Acharyya India 13 448 393 262 102 39 24 556
Giulia Zonta Italy 16 623 1.4× 530 1.3× 275 1.0× 254 2.5× 53 1.4× 48 807
Hanyang Ji China 17 761 1.7× 593 1.5× 447 1.7× 181 1.8× 75 1.9× 48 890
Tingrun Lai China 10 391 0.9× 190 0.5× 170 0.6× 167 1.6× 73 1.9× 18 506
Mostafa Shooshtari Iran 11 369 0.8× 265 0.7× 175 0.7× 89 0.9× 31 0.8× 19 443
M. H. Shahrokh Abadi Iran 8 257 0.6× 227 0.6× 140 0.5× 87 0.9× 53 1.4× 21 389
Seyda Korkut Türkiye 12 437 1.0× 101 0.3× 202 0.8× 37 0.4× 113 2.9× 31 524
Farshad Saberi-Movahed United States 4 196 0.4× 99 0.3× 69 0.3× 92 0.9× 43 1.1× 5 428
Maryam Nazari Iran 10 285 0.6× 101 0.3× 74 0.3× 94 0.9× 62 1.6× 26 472
Ines C. Weber Switzerland 11 335 0.7× 315 0.8× 183 0.7× 84 0.8× 14 0.4× 15 428
Junho Hwang Japan 12 195 0.4× 267 0.7× 36 0.1× 113 1.1× 22 0.6× 23 454

Countries citing papers authored by Snehanjan Acharyya

Since Specialization
Citations

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

Fields of papers citing papers by Snehanjan Acharyya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Snehanjan Acharyya

This figure shows the co-authorship network connecting the top 25 collaborators of Snehanjan Acharyya. A scholar is included among the top collaborators of Snehanjan Acharyya 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 Snehanjan Acharyya. Snehanjan Acharyya 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.
Acharyya, Snehanjan, et al.. (2025). Efficacious paper-based colorimetric detection of bacterial contamination in vegetables utilizing indicator dyes and machine learning. Food Chemistry. 495(Pt 1). 146408–146408. 1 indexed citations
2.
Mandal, Biswajit, et al.. (2024). Defect-Rich SnO₂–x Polydisperse Spheres Toward the Detection of Vehicle-Emitted Category NO₂ Gas. IEEE Sensors Journal. 24(17). 27183–27190. 3 indexed citations
3.
Acharyya, Snehanjan, et al.. (2024). Temperature Tunable Selective Detection of Toluene and Isopropanol Employing Plate-Like WO3-Based Single Chemiresistor. IEEE Sensors Journal. 24(21). 33970–33977. 4 indexed citations
4.
Acharyya, Snehanjan, et al.. (2024). SnSe Nanoflakes for a NO2 Sensor at Room Temperature. ACS Applied Nano Materials. 7(20). 24281–24290. 9 indexed citations
5.
6.
Acharyya, Snehanjan & Prasanta Kumar Guha. (2024). Enhanced formaldehyde sensing performance employing plasma-treated hierarchical SnO2 nanosheets through oxygen vacancy modulation. Applied Surface Science. 655. 159640–159640. 12 indexed citations
7.
Acharyya, Snehanjan, et al.. (2023). Assessment of fish adulteration using SnO2 nanopetal-based gas sensor and machine learning. Food Chemistry. 438. 138039–138039. 28 indexed citations
8.
Acharyya, Snehanjan, et al.. (2023). Adulterated Fish Recognition Employing SnO2 Nanostructure-Based Chemiresistive Sensor. IEEE Sensors Letters. 7(8). 1–4. 15 indexed citations
9.
Acharyya, Snehanjan & Prasanta Kumar Guha. (2023). Hierarchical Zinc Stannate Nanoneedle-Based Sensitive Detection of Formaldehyde. ACS Applied Electronic Materials. 5(6). 3446–3453. 13 indexed citations
10.
Acharyya, Snehanjan, et al.. (2023). Fruit Freshness Monitoring Employing Chemiresistive Volatile Organic Compound Sensor and Machine Learning. ACS Applied Nano Materials. 6(24). 22829–22836. 17 indexed citations
11.
Pal, Shyam Chand, Snehanjan Acharyya, Shiv Prakash Verma, et al.. (2023). MOF-Assimilated High-Sensitive Organic Field-Effect Transistors for Rapid Detection of a Chemical Warfare Agent. ACS Applied Materials & Interfaces. 15(25). 30580–30590. 12 indexed citations
12.
Acharyya, Snehanjan, et al.. (2023). Smart and Selective Gas Sensor System Empowered With Machine Learning Over IoT Platform. IEEE Internet of Things Journal. 11(3). 4218–4226. 28 indexed citations
13.
Acharyya, Snehanjan, Plaban Kumar Bhowmick, & Prasanta Kumar Guha. (2023). Selective identification and quantification of VOCs using metal nanoparticles decorated SnO2 hollow-spheres based sensor array and machine learning. Journal of Alloys and Compounds. 968. 171891–171891. 33 indexed citations
14.
Acharyya, Snehanjan, Sudip Nag, & Prasanta Kumar Guha. (2022). Ultra-selective tin oxide-based chemiresistive gas sensor employing signal transform and machine learning techniques. Analytica Chimica Acta. 1217. 339996–339996. 49 indexed citations
15.
Acharyya, Snehanjan, Sudip Nag, Sanjay Kimbahune, et al.. (2021). Selective Discrimination of VOCs Applying Gas Sensing Kinetic Analysis over a Metal Oxide-Based Chemiresistive Gas Sensor. ACS Sensors. 6(6). 2218–2224. 139 indexed citations
16.
Acharyya, Snehanjan, et al.. (2020). Single resistive sensor for selective detection of multiple VOCs employing SnO2 hollowspheres and machine learning algorithm: A proof of concept. Sensors and Actuators B Chemical. 321. 128484–128484. 101 indexed citations
17.
Acharyya, Snehanjan, Sudip Nag, & Prasanta Kumar Guha. (2020). Selective Detection of VOCs With WO3 Nanoplates-Based Single Chemiresistive Sensor Device Using Machine Learning Algorithms. IEEE Sensors Journal. 21(5). 5771–5778. 40 indexed citations
18.
Acharyya, Snehanjan, et al.. (2020). Graphene Oxide Wrapped Hollow SnO2 Sphere for Room Temperature Formaldehyde Sensing: An Insight Through Computational Analysis & Experimental Study. IEEE Transactions on Electron Devices. 67(9). 3767–3774. 17 indexed citations
19.
Acharyya, Snehanjan, et al.. (2019). WO 3 Nanoplates based Chemiresistive Sensor Device for Selective Detection of 2-Propanol. IEEE Conference Proceedings. 2019. 1–4. 2 indexed citations
20.
Acharyya, Snehanjan, et al.. (2019). WO3 Nanoplates based Chemiresistive Sensor Device for Selective Detection of 2-Propanol. 1–4. 5 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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