Deepanshu Vijay

433 total citations
6 papers, 258 citations indexed

About

Deepanshu Vijay is a scholar working on Artificial Intelligence, Communication and Social Psychology. According to data from OpenAlex, Deepanshu Vijay has authored 6 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 1 paper in Communication and 1 paper in Social Psychology. Recurrent topics in Deepanshu Vijay's work include Hate Speech and Cyberbullying Detection (3 papers), Sentiment Analysis and Opinion Mining (3 papers) and Natural Language Processing Techniques (2 papers). Deepanshu Vijay is often cited by papers focused on Hate Speech and Cyberbullying Detection (3 papers), Sentiment Analysis and Opinion Mining (3 papers) and Natural Language Processing Techniques (2 papers). Deepanshu Vijay collaborates with scholars based in India. Deepanshu Vijay's co-authors include Manish Shrivastava, Vinay Singh and Syed Sarfaraz Akhtar and has published in prestigious journals such as International Journal of Education and Management Engineering.

In The Last Decade

Deepanshu Vijay

5 papers receiving 246 citations

Peers

Deepanshu Vijay
Deepanshu Vijay
Citations per year, relative to Deepanshu Vijay Deepanshu Vijay (= 1×) peers Syed Sarfaraz Akhtar

Countries citing papers authored by Deepanshu Vijay

Since Specialization
Citations

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

Fields of papers citing papers by Deepanshu Vijay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepanshu Vijay

This figure shows the co-authorship network connecting the top 25 collaborators of Deepanshu Vijay. A scholar is included among the top collaborators of Deepanshu Vijay 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 Deepanshu Vijay. Deepanshu Vijay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
1.
Vijay, Deepanshu, et al.. (2025). Identifying Patterns and Trends in CampusPlacement Data Using Machine Learning. International Journal of Education and Management Engineering. 15(1). 10–24.
2.
Vijay, Deepanshu, et al.. (2018). A Dataset of Hindi-English Code-Mixed Social Media Text for Hate Speech Detection. 36–41. 156 indexed citations
3.
Vijay, Deepanshu, et al.. (2018). Corpus Creation and Emotion Prediction for Hindi-English Code-Mixed Social Media Text. 128–135. 32 indexed citations
4.
Singh, Vinay, et al.. (2018). Aggression Detection on Social Media Text Using Deep Neural Networks. 26 indexed citations
5.
Singh, Vinay, Deepanshu Vijay, Syed Sarfaraz Akhtar, & Manish Shrivastava. (2018). Named Entity Recognition for Hindi-English Code-Mixed Social Media Text. 27–35. 35 indexed citations
6.
Vijay, Deepanshu, et al.. (2018). A Dataset for Detecting Irony in Hindi-English Code-Mixed Social Media Text.. 38–46. 9 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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