Swati Vipsita

497 total citations
38 papers, 349 citations indexed

About

Swati Vipsita is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Swati Vipsita has authored 38 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 24 papers in Artificial Intelligence and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Swati Vipsita's work include Gene expression and cancer classification (16 papers), Evolutionary Algorithms and Applications (14 papers) and Machine Learning in Bioinformatics (11 papers). Swati Vipsita is often cited by papers focused on Gene expression and cancer classification (16 papers), Evolutionary Algorithms and Applications (14 papers) and Machine Learning in Bioinformatics (11 papers). Swati Vipsita collaborates with scholars based in India, South Korea and Australia. Swati Vipsita's co-authors include Santos Kumar Baliarsingh, Sambit Bakshi, Khan Muhammad, Santanu Kumar Rath, Weiping Ding, Somula Ramasubbareddy, Amir H. Gandomi, Rabindra K. Barik, Rakesh Kumar Lenka and Puspanjali Mohapatra and has published in prestigious journals such as Applied Soft Computing, Computer Methods and Programs in Biomedicine and Neural Computing and Applications.

In The Last Decade

Swati Vipsita

34 papers receiving 328 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Swati Vipsita India 10 191 138 63 32 27 38 349
Santos Kumar Baliarsingh India 9 178 0.9× 89 0.6× 63 1.0× 27 0.8× 17 0.6× 26 303
Rasmita Dash India 12 251 1.3× 108 0.8× 73 1.2× 25 0.8× 27 1.0× 45 430
Fadzil Ahmad Malaysia 10 190 1.0× 62 0.4× 60 1.0× 15 0.5× 13 0.5× 27 351
Topon Kumar Paul Japan 12 144 0.8× 116 0.8× 29 0.5× 28 0.9× 18 0.7× 25 363
Labib M. Labib Egypt 8 219 1.1× 65 0.5× 57 0.9× 11 0.3× 103 3.8× 14 382
Lijing Tan China 11 187 1.0× 43 0.3× 46 0.7× 79 2.5× 31 1.1× 31 357
Mahsa Torkamanian-Afshar Türkiye 9 99 0.5× 37 0.3× 24 0.4× 26 0.8× 64 2.4× 14 288
Durga Prasad Muni India 5 287 1.5× 47 0.3× 65 1.0× 68 2.1× 12 0.4× 8 387
Sana Jawarneh Saudi Arabia 10 127 0.7× 25 0.2× 34 0.5× 12 0.4× 32 1.2× 22 281

Countries citing papers authored by Swati Vipsita

Since Specialization
Citations

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

Fields of papers citing papers by Swati Vipsita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Swati Vipsita

This figure shows the co-authorship network connecting the top 25 collaborators of Swati Vipsita. A scholar is included among the top collaborators of Swati Vipsita 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 Swati Vipsita. Swati Vipsita 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.
Vipsita, Swati, et al.. (2025). DTBA-net: Drug-Target Binding Affinity prediction using feature selection in hybrid CNN model. Journal of Computer-Aided Molecular Design. 39(1). 31–31.
2.
Vipsita, Swati, et al.. (2023). Decision tree classifier based on topological characteristics of subgraph for the mining of protein complexes from large scale PPI networks. Computational Biology and Chemistry. 106. 107935–107935. 9 indexed citations
3.
Vipsita, Swati, et al.. (2022). DeepRHD: An efficient hybrid feature extraction technique for protein remote homology detection using deep learning strategies. Computational Biology and Chemistry. 100. 107749–107749. 5 indexed citations
4.
Vipsita, Swati, et al.. (2021). Protein complex prediction based on dense sub-graph merging. International Journal of Data Mining and Bioinformatics. 26(3/4). 129–129. 1 indexed citations
5.
Vipsita, Swati, et al.. (2020). TriRNSC: triclustering of gene expression microarray data using restricted neighbourhood search. IET Systems Biology. 14(6). 323–333. 2 indexed citations
6.
Baliarsingh, Santos Kumar, et al.. (2020). Analysis of high-dimensional genomic data using MapReduce based probabilistic neural network. Computer Methods and Programs in Biomedicine. 195. 105625–105625. 26 indexed citations
7.
Baliarsingh, Santos Kumar, Weiping Ding, Swati Vipsita, & Sambit Bakshi. (2019). A memetic algorithm using emperor penguin and social engineering optimization for medical data classification. Applied Soft Computing. 85. 105773–105773. 51 indexed citations
8.
Baliarsingh, Santos Kumar, et al.. (2019). Analysis of high-dimensional genomic data employing a novel bio-inspired algorithm. Applied Soft Computing. 77. 520–532. 41 indexed citations
9.
Vipsita, Swati, et al.. (2019). Cancer Classification using improved Extreme Learning Machine. 1–9. 3 indexed citations
10.
Baliarsingh, Santos Kumar, et al.. (2019). A new optimal gene selection approach for cancer classification using enhanced Jaya-based forest optimization algorithm. Neural Computing and Applications. 32(12). 8599–8616. 35 indexed citations
11.
Vipsita, Swati, et al.. (2018). A review on biclustering of gene expression microarray data: algorithms, effective measures and validations. International Journal of Data Mining and Bioinformatics. 21(3). 230–230. 3 indexed citations
12.
Lenka, Rakesh Kumar, et al.. (2017). PSPS: An IoT based predictive smart parking system. 311–317. 22 indexed citations
13.
Vipsita, Swati, et al.. (2017). Remote Homology Detection Using Physicochemical Parameters and Physicochemical Properties. 174–177. 1 indexed citations
14.
15.
Vipsita, Swati, et al.. (2016). A Survey on Greedy Based Algorithms for Biclustering of Gene Expression Microarray Data. 124–128. 3 indexed citations
16.
Vipsita, Swati & Santanu Kumar Rath. (2015). Sequence-based protein superfamily classification using computational intelligence techniques: a review. International Journal of Data Mining and Bioinformatics. 11(4). 424–424. 2 indexed citations
17.
Vipsita, Swati, et al.. (2014). An Efficient Approach for Classification of Gene Expression Microarray Data. 3. 344–348. 6 indexed citations
18.
Vipsita, Swati & Santanu Kumar Rath. (2013). Two-Stage Approach for Protein Superfamily Classification. 2013. 1–12. 11 indexed citations
19.
20.
Vipsita, Swati, et al.. (2010). Evolutionary approach for approximation of artificial neural network. 2256. 172–176. 3 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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