Vedika Gupta

1.2k total citations
47 papers, 695 citations indexed

About

Vedika Gupta is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Vedika Gupta has authored 47 papers receiving a total of 695 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 8 papers in Information Systems. Recurrent topics in Vedika Gupta's work include Sentiment Analysis and Opinion Mining (9 papers), Hate Speech and Cyberbullying Detection (7 papers) and Advanced Text Analysis Techniques (5 papers). Vedika Gupta is often cited by papers focused on Sentiment Analysis and Opinion Mining (9 papers), Hate Speech and Cyberbullying Detection (7 papers) and Advanced Text Analysis Techniques (5 papers). Vedika Gupta collaborates with scholars based in India, Malaysia and China. Vedika Gupta's co-authors include Nikita Jain, Senthilkumar Mohan, Vivek Kumar Singh, Ali Ahmadian, Sheueling Chang Shantz, Hans Eberle, Matthew Millard, Nils Gura, Массимилиано Феррара and KC Santosh and has published in prestigious journals such as Chaos Solitons & Fractals, Applied Sciences and Neural Computing and Applications.

In The Last Decade

Vedika Gupta

45 papers receiving 654 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vedika Gupta India 14 302 115 87 84 80 47 695
Piotr Bródka Poland 15 195 0.6× 102 0.9× 67 0.8× 86 1.0× 115 1.4× 52 794
Kiran Khatter India 8 445 1.5× 62 0.5× 66 0.8× 140 1.7× 42 0.5× 23 923
André Panisson Italy 15 143 0.5× 144 1.3× 68 0.8× 79 0.9× 148 1.9× 35 730
Maqbool Khan China 13 131 0.4× 140 1.2× 69 0.8× 136 1.6× 41 0.5× 50 637
Roseline Oluwaseun Ogundokun Nigeria 16 315 1.0× 128 1.1× 131 1.5× 143 1.7× 29 0.4× 99 836
Vaibhav Rupapara United States 13 597 2.0× 95 0.8× 92 1.1× 232 2.8× 189 2.4× 19 1.0k
Tuğba Taşkaya Temizel Türkiye 13 185 0.6× 58 0.5× 73 0.8× 73 0.9× 50 0.6× 45 618
Sanjay Chakraborty India 12 328 1.1× 36 0.3× 47 0.5× 108 1.3× 67 0.8× 43 739
Carmela Comito Italy 19 279 0.9× 199 1.7× 64 0.7× 201 2.4× 155 1.9× 75 887

Countries citing papers authored by Vedika Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Vedika Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vedika Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of Vedika Gupta. A scholar is included among the top collaborators of Vedika Gupta 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 Vedika Gupta. Vedika Gupta 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.
Gupta, Vedika, et al.. (2025). Stop the Hate, Spread the Hope: An Ensemble Model for Hope Speech Detection in English and Dravidian Languages. ACM Transactions on Asian and Low-Resource Language Information Processing. 1 indexed citations
2.
Gupta, Vedika, et al.. (2025). Hate Speech Detection Research in South Asian Languages: A Survey of Tasks, Datasets and Methods. ACM Transactions on Asian and Low-Resource Language Information Processing. 24(3). 1–44. 3 indexed citations
3.
Singh, Vivek K., et al.. (2025). BongHope: An annotated corpus for Bengali hope speech detection. International Journal of Information Technology. 17(4). 2523–2531. 1 indexed citations
4.
Mittal, Mamta, et al.. (2024). Machine learning for pest detection and infestation prediction: A comprehensive review. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 14(5). 9 indexed citations
6.
Singh, Vivek Kumar, et al.. (2024). TABHATE: A Target-based hate speech detection dataset in Hindi. Social Network Analysis and Mining. 14(1). 7 indexed citations
7.
Gupta, Vedika, et al.. (2024). Exploring applied sustainable strategies through geoheritage and geotourism: A systematic literature review. International Journal of Geoheritage and Parks. 12(4). 660–677. 2 indexed citations
8.
Mittal, Mamta, et al.. (2024). Detection of plant leaf disease using advanced deep learning architectures. International Journal of Information Technology. 16(6). 3475–3492. 5 indexed citations
9.
Vashishtha, Srishti, Vedika Gupta, & Mamta Mittal. (2023). Sentiment analysis using fuzzy logic: A comprehensive literature review. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 13(5). 16 indexed citations
10.
Gupta, Vedika, et al.. (2023). A fuzzy rule‐based system with decision tree for breast cancer detection. IET Image Processing. 17(7). 2083–2096. 13 indexed citations
11.
Jain, Nikita, Vedika Gupta, Usman Tariq, & D. Jude Hemanth. (2022). Fast Violence Recognition in Video Surveillance by Integrating Object Detection and Conv-LSTM. International Journal of Artificial Intelligence Tools. 32(3). 4 indexed citations
12.
Gupta, Vedika, et al.. (2022). Improved COVID-19 detection with chest x-ray images using deep learning. Multimedia Tools and Applications. 81(26). 37657–37680. 25 indexed citations
13.
Gupta, Vedika, et al.. (2022). A truncated deep neural network for identifying age groups in real time images. Journal of Interdisciplinary Mathematics. 25(3). 851–861. 1 indexed citations
14.
Gupta, Vedika, et al.. (2021). Toward Integrated CNN-based Sentiment Analysis of Tweets for Scarce-resource Language—Hindi. ACM Transactions on Asian and Low-Resource Language Information Processing. 20(5). 1–23. 30 indexed citations
15.
Jain, Nikita, Harshit Garg, Vedika Gupta, et al.. (2021). Prediction modelling of COVID using machine learning methods from B-cell dataset. Results in Physics. 21. 103813–103813. 53 indexed citations
16.
Jain, Nikita, et al.. (2021). Understanding cartoon emotion using integrated deep neural network on large dataset. Neural Computing and Applications. 34(24). 21481–21501. 25 indexed citations
17.
Gupta, Vedika, Nikita Jain, Adarsh Kumar, et al.. (2021). An Emotion Care Model using Multimodal Textual Analysis on COVID-19. Chaos Solitons & Fractals. 144. 110708–110708. 55 indexed citations
18.
Piryani, Rajesh, Vedika Gupta, & Vivek Kumar Singh. (2018). Generating Aspect-based Extractive Opinion Summary: Drawing Inferences from Social Media Texts. Computación y Sistemas. 22(1). 9 indexed citations
19.
Piryani, Rajesh, Vedika Gupta, Vivek Kumar Singh, & Udayan Ghose. (2014). A System for Aspect-level Sentiment Analysis of Movie Reviews. 1(1). 1–8. 1 indexed citations
20.
Arora, Jyoti, Vandana Mehta, Vedika Gupta, et al.. (2010). Asymmetrical bilateral double mandibular canals: anatomicoradiological study and clinical implications.. PubMed. 161(2). 155–8. 1 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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