V
Vivek Singh
Researcher at Banaras Hindu University
Publications - 515
Citations - 6101
Vivek Singh is an academic researcher from Banaras Hindu University. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 26, co-authored 353 publications receiving 4235 citations. Previous affiliations of Vivek Singh include Indian Institute of Tropical Meteorology & South Asian University.
Papers
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Journal ArticleDOI
Oxidative Stress, Prooxidants, and Antioxidants: The Interplay
Anu Rahal,Amit Kumar,Vivek Singh,Brijesh Yadav,Ruchi Tiwari,Sandip Chakraborty,Kuldeep Dhama +6 more
TL;DR: The importance of oxidative stress in the body growth and development as well as proteomic and genomic evidences of its relationship with disease development, incidence of malignancies and autoimmune disorders, increased susceptibility to bacterial, viral, and parasitic diseases are discussed.
Journal ArticleDOI
Nano‐adsorbents for the removal of metallic pollutants from water and wastewater
TL;DR: Of the variety of adsorbents available for the removal of heavy and toxic metals, activated carbon has been the most popular and carbon nanotubes also have been proved effective alternatives for the Removal of metallic pollutants from aqueous solutions.
Journal ArticleDOI
The journal coverage of Web of Science, Scopus and Dimensions: A comparative analysis
TL;DR: The results indicate that the databases have significantly different journal coverage, with the Web of Science being most selective and Dimensions being the most exhaustive.
Journal ArticleDOI
The Journal Coverage of Web of Science, Scopus and Dimensions: A Comparative Analysis.
TL;DR: In this paper, the authors compared the journal coverage of the three databases: Web of Science, Scopus and Dimensions, and identified the overlapping and unique journals covered in the databases.
Proceedings ArticleDOI
Sentiment analysis of movie reviews: A new feature-based heuristic for aspect-level sentiment classification
TL;DR: An aspect oriented scheme that analyses the textual reviews of a movie and assign it a sentiment label on each aspect and produces a more accurate and focused sentiment profile than the simple document-level sentiment analysis.