V A Binson

780 total citations · 1 hit paper
36 papers, 520 citations indexed

About

V A Binson is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Insect Science. According to data from OpenAlex, V A Binson has authored 36 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Biomedical Engineering, 19 papers in Electrical and Electronic Engineering and 13 papers in Insect Science. Recurrent topics in V A Binson's work include Advanced Chemical Sensor Technologies (21 papers), Gas Sensing Nanomaterials and Sensors (17 papers) and Insect Pheromone Research and Control (10 papers). V A Binson is often cited by papers focused on Advanced Chemical Sensor Technologies (21 papers), Gas Sensing Nanomaterials and Sensors (17 papers) and Insect Pheromone Research and Control (10 papers). V A Binson collaborates with scholars based in India, Bahrain and Indonesia. V A Binson's co-authors include M. Subramoniam, Luke Mathew, S. Madhu, J. Arun, S. Naveen, Ajay Kumar, Anish Thomas, G. Manju and Krishnamoorthy Sivakumar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Clinica Chimica Acta and IEEE Sensors Journal.

In The Last Decade

V A Binson

29 papers receiving 511 citations

Hit Papers

A Review of Machine Learning Algorithms for Biomedical Ap... 2024 2026 2025 2024 10 20 30 40
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Review of Machine Learning Algorithms for Biomedical Applications
    2024 46 citations V A Binson, M. Subramoniam et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V A Binson India 12 331 196 97 84 63 36 520
Luke Mathew India 7 213 0.6× 120 0.6× 62 0.6× 56 0.7× 38 0.6× 9 316
Xitian Pi China 13 231 0.7× 93 0.5× 21 0.2× 128 1.5× 64 1.0× 40 614
Marta Padilla Spain 11 395 1.2× 265 1.4× 103 1.1× 4 0.0× 5 0.1× 24 473
Siavash Esfahani United Kingdom 8 162 0.5× 96 0.5× 13 0.1× 8 0.1× 4 0.1× 16 312
Ping Ma China 12 153 0.5× 49 0.3× 50 0.5× 13 0.2× 77 1.2× 35 478
Xiaohui Weng China 10 156 0.5× 78 0.4× 46 0.5× 6 0.1× 3 0.0× 34 277
Xiangxiang Zheng China 13 109 0.3× 25 0.1× 22 0.2× 17 0.2× 61 1.0× 31 520
Dongheon Lee South Korea 15 115 0.3× 180 0.9× 17 0.2× 31 0.4× 21 0.3× 44 717
Xiaoya Guo China 12 137 0.4× 18 0.1× 3 0.0× 101 1.2× 94 1.5× 43 470
Adrian Funke Germany 18 100 0.3× 79 0.4× 11 0.1× 19 0.2× 6 0.1× 30 771

Countries citing papers authored by V A Binson

Since Specialization
Citations

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

Fields of papers citing papers by V A Binson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V A Binson. 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 V A Binson. The network helps show where V A Binson may publish in the future.

Co-authorship network of co-authors of V A Binson

This figure shows the co-authorship network connecting the top 25 collaborators of V A Binson. A scholar is included among the top collaborators of V A Binson 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 V A Binson. V A Binson 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.
Binson, V A, et al.. (2025). Early Detection of Grasserie Disease in Silkworms Using Computer Vision and Machine Learning. Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi). 9(5). 1255–1264.
2.
Binson, V A, et al.. (2025). VOC pattern recognition for lung cancer detection using a compact E-nose system. Microchemical Journal. 218. 115581–115581.
3.
Subramoniam, M., et al.. (2025). IoT sensor-influenced intelligent waste management system using deep learning and multi-objective shortest pathrouting. Intelligent Buildings International. 17(2). 64–90. 1 indexed citations
4.
Binson, V A, et al.. (2024). Unveiling the Smell of Health: E-Nose-Based Volatile Organic Compound Analysis of Exhaled Breath in Early Lung Cancer Detection. SHILAP Revista de lepidopterología. 23–23. 1 indexed citations
5.
Binson, V A, et al.. (2024). An IoT-Enabled Real-Time Crop Prediction System Using Soil Fertility Analysis. SHILAP Revista de lepidopterología. 5(4). 2496–2510. 5 indexed citations
6.
Binson, V A, et al.. (2024). Assessing Quality of Food Products Using Electronic Noses: A Systematic Review. SHILAP Revista de lepidopterología. 79–79. 1 indexed citations
7.
Binson, V A, et al.. (2024). Detection of lung cancer and stages via breath analysis using a self-made electronic nose device. Expert Review of Molecular Diagnostics. 24(4). 341–353. 19 indexed citations
8.
Binson, V A, et al.. (2024). Automated Disease Detection in Silkworms Using Machine Learning Techniques. 6(4). 2404015–2404015.
9.
Manju, G., et al.. (2024). Precision crop prediction using IoT-enabled soil sensors and machine learning. SHILAP Revista de lepidopterología. 10(49). 1 indexed citations
10.
Binson, V A, et al.. (2024). Experimental and numerical study on gravitational water vortex power plant for small water bodies. SHILAP Revista de lepidopterología. 7. 100460–100460. 4 indexed citations
11.
Binson, V A, et al.. (2023). The Development of a Mobile E-Nose System for Real-Time Beef Quality Monitoring and Spoilage Detection. SHILAP Revista de lepidopterología. 256–256. 4 indexed citations
12.
13.
Binson, V A, et al.. (2023). Gravitational water vortex: Finite element analysis based design and implementation. Chemical and Process Engineering New Frontiers. 4 indexed citations
14.
Subramoniam, M., et al.. (2023). Precision Diagnostic Algorithm for Multisubtype Arrhythmia Classification. 25. 1–4. 1 indexed citations
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17.
Binson, V A, M. Subramoniam, & Luke Mathew. (2021). MOS Based Sensor Array System for the Detection of Human Breath Volatile Organic Compounds. Annals of the Romanian Society for Cell Biology. 9 indexed citations
18.
Binson, V A, M. Subramoniam, & Luke Mathew. (2021). Detection of COPD and Lung Cancer with electronic nose using ensemble learning methods. Clinica Chimica Acta. 523. 231–238. 70 indexed citations
19.
Binson, V A, M. Subramoniam, & Luke Mathew. (2021). Discrimination of COPD and lung cancer from controls through breath analysis using a self-developed e-nose. Journal of Breath Research. 15(4). 46003–46003. 58 indexed citations
20.
Binson, V A & M. Subramoniam. (2021). Design and development of an e-nose system for the diagnosis of pulmonary diseases. Acta of Bioengineering and Biomechanics. 23(1). 35–44. 39 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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