Vikas Singh

1.2k total citations
48 papers, 714 citations indexed

About

Vikas Singh is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Vikas Singh has authored 48 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 10 papers in Molecular Biology. Recurrent topics in Vikas Singh's work include Gene expression and cancer classification (7 papers), Biometric Identification and Security (6 papers) and Machine Fault Diagnosis Techniques (6 papers). Vikas Singh is often cited by papers focused on Gene expression and cancer classification (7 papers), Biometric Identification and Security (6 papers) and Machine Fault Diagnosis Techniques (6 papers). Vikas Singh collaborates with scholars based in India, United States and Canada. Vikas Singh's co-authors include Nishchal K. Verma, Risi Kondor, Purushottam Gangsar, Yan Cui, Rahul K. Sevakula, Pooja Agrawal, Narendra Kumar Dhar, Vinayak Ashok Bharadi, Teena Sharma and Chris K. Mechefske and has published in prestigious journals such as IEEE Transactions on Fuzzy Systems, IEEE Transactions on Aerospace and Electronic Systems and IEEE Sensors Journal.

In The Last Decade

Vikas Singh

42 papers receiving 669 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vikas Singh India 12 246 165 163 80 72 48 714
Sheng Li China 16 215 0.9× 193 1.2× 58 0.4× 125 1.6× 90 1.3× 103 790
Mustafa Poyraz Türkiye 14 92 0.4× 159 1.0× 208 1.3× 53 0.7× 76 1.1× 33 649
Kaoru Hirota Japan 16 328 1.3× 272 1.6× 79 0.5× 36 0.5× 39 0.5× 76 827
Ashwin Kothari India 18 251 1.0× 169 1.0× 157 1.0× 32 0.4× 41 0.6× 122 1.3k
Weiwei Zong United States 7 244 1.0× 726 4.4× 79 0.5× 48 0.6× 29 0.4× 17 906
Boonserm Kijsirikul Thailand 16 258 1.0× 376 2.3× 49 0.3× 23 0.3× 49 0.7× 85 764
Tao Zhou China 21 132 0.5× 152 0.9× 69 0.4× 64 0.8× 24 0.3× 118 1.3k
Hong Wu China 13 298 1.2× 233 1.4× 44 0.3× 30 0.4× 91 1.3× 60 682
Jan Hendrik Metzen Germany 14 297 1.2× 515 3.1× 80 0.5× 23 0.3× 64 0.9× 30 915
Enrique Efrén García-Guerrero Mexico 19 507 2.1× 182 1.1× 70 0.4× 18 0.2× 60 0.8× 43 1.1k

Countries citing papers authored by Vikas Singh

Since Specialization
Citations

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

Fields of papers citing papers by Vikas Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vikas Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Vikas Singh. A scholar is included among the top collaborators of Vikas Singh 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 Vikas Singh. Vikas Singh 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.
Naorem, Leimarembi Devi, Aliasgar Moiyadi, Vikas Singh, et al.. (2025). Attenuation of malignant phenotype of glioblastoma following a short course of the pro-oxidant combination of Resveratrol and Copper. PubMed. 3(1). 68–68.
2.
3.
Singh, Vikas, et al.. (2024). Handwriting Detection Using Object Detection Models. 420–427. 2 indexed citations
4.
5.
Singh, Vikas, et al.. (2019). Condition Monitoring of Machines Using Fused Features From EMD-Based Local Energy With DNN. IEEE Sensors Journal. 20(15). 8316–8327. 39 indexed citations
6.
Singh, Vikas, et al.. (2019). A Rare Case of Arteriovenous Malformation of Mandible: A Case Report. 4(1). 14–17.
7.
Sharma, Teena, et al.. (2019). Fuzzy based Pooling in Convolutional Neural Network for Image Classification. 1–6. 23 indexed citations
8.
Sevakula, Rahul K., et al.. (2018). Transfer Learning for Molecular Cancer Classification Using Deep Neural Networks. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 16(6). 2089–2100. 82 indexed citations
9.
Singh, Vikas, et al.. (2018). Optimal Feature Selection using Fuzzy Combination of Feature Subset for Transcriptome Data. 96. 1–8. 3 indexed citations
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11.
Kim, Won Hwa, Seong Jae Hwang, Nagesh Adluru, Sterling C. Johnson, & Vikas Singh. (2016). Adaptive Signal Recovery on Graphs via Harmonic Analysis for Experimental Design in Neuroimaging. Lecture notes in computer science. 9910. 188–205. 2 indexed citations
12.
Singh, Vikas, et al.. (2016). Layerwise feature selection in Stacked Sparse Auto-Encoder for tumor type prediction. 1542–1548. 13 indexed citations
13.
Singh, Vikas, et al.. (2015). A methodology to overcome challenges and risks associated with ambient intelligent systems. 245–248. 2 indexed citations
14.
Vergun, Svyatoslav, Timothy B. Meier, Jie Song, et al.. (2013). Characterizing Functional Connectivity Differences in Aging Adults using Machine Learning on Resting State fMRI Data. Frontiers in Computational Neuroscience. 7. 38–38. 66 indexed citations
15.
Kondor, Risi, et al.. (2013). Solving the multi-way matching problem by permutation synchronization. 26. 1860–1868. 87 indexed citations
16.
Sharma, Sanjeev, Anupam Shukla, Ritu Tiwari, & Vikas Singh. (2012). View variations effect in gait recognition and performance improvement using fusion. 4. 892–896. 2 indexed citations
17.
Kekre, H. B., et al.. (2011). Palmprint recognition using Kekre's wavelet's energy entropy based feature vector. 39–39. 6 indexed citations
18.
Sharma, Sanjeev, Ritu Tiwari, Anupam Shukla, & Vikas Singh. (2011). Frontal view gait based recognition using PCA. 124–127. 2 indexed citations
19.
Chung, Moo K., Vikas Singh, Peter T. Kim, Kim M. Dalton, & Richard J. Davidson. (2009). Topological Characterization of Signal in Brain Images Using Min-Max Diagrams. Lecture notes in computer science. 12(Pt 2). 158–166. 8 indexed citations
20.
Yadav, Ram Narayan, Vikas Singh, & Prem Kalra. (2004). Classification using single neuron. 124–129. 10 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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