Ashima Yadav

1.8k total citations · 1 hit paper
27 papers, 1.1k citations indexed

About

Ashima Yadav is a scholar working on Artificial Intelligence, Sociology and Political Science and Information Systems. According to data from OpenAlex, Ashima Yadav has authored 27 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 12 papers in Sociology and Political Science and 10 papers in Information Systems. Recurrent topics in Ashima Yadav's work include Misinformation and Its Impacts (12 papers), Spam and Phishing Detection (10 papers) and Sentiment Analysis and Opinion Mining (10 papers). Ashima Yadav is often cited by papers focused on Misinformation and Its Impacts (12 papers), Spam and Phishing Detection (10 papers) and Sentiment Analysis and Opinion Mining (10 papers). Ashima Yadav collaborates with scholars based in India, United States and France. Ashima Yadav's co-authors include Dinesh Kumar Vishwakarma, Dinesh Kumar Vishwakarma, Ishita Gupta, Harshwardhan Khandait, Ayush Agarwal, Rahul Katarya, Priyanka Meel, Kuldeep Singh, Akansha Singh and Krishna Kant Singh and has published in prestigious journals such as Sensors, Applied Soft Computing and Artificial Intelligence Review.

In The Last Decade

Ashima Yadav

26 papers receiving 1.1k citations

Hit Papers

Sentiment analysis using deep learning architectures: a r... 2019 2026 2021 2023 2019 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Sentiment analysis using deep learning architectures: a review
    2019 512 citations Ashima Yadav, Dinesh Kumar Vishwakarma profile →

Peers

Ashima Yadav
Katarzyna Musiał Australia
Alessio Signorini United States
Basant Agarwal India
Jason Fries United States
David Huynh United States
Vaibhav Rupapara United States
Kasturi Dewi Varathan Malaysia
Mohamed M. Dessouky Egypt
Sandra Bringay France
Katarzyna Musiał Australia
Ashima Yadav
Citations per year, relative to Ashima Yadav Ashima Yadav (= 1×) peers Katarzyna Musiał

Countries citing papers authored by Ashima Yadav

Since Specialization
Citations

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

Fields of papers citing papers by Ashima Yadav

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashima Yadav

This figure shows the co-authorship network connecting the top 25 collaborators of Ashima Yadav. A scholar is included among the top collaborators of Ashima Yadav 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 Ashima Yadav. Ashima Yadav 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.
Yadav, Ashima, et al.. (2025). AMTCF: an advanced multimodal transformer and ConvNext fusion for contextualized fake news detection in digital landscape. Language Resources and Evaluation. 59(3). 2893–2927. 1 indexed citations
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Yadav, Ashima, et al.. (2024). TransVAE-PAM: A Combined Transformer and DAG-based Approach for Enhanced Fake News Detection in Indian Context. ACM Transactions on Asian and Low-Resource Language Information Processing. 3 indexed citations
6.
Yadav, Ashima, Victor Chedid, Xiao‐Jing Wang, et al.. (2023). Practicing Digital Gastroenterology through Phonoenterography Leveraging Artificial Intelligence: Future Perspectives Using Microwave Systems. Sensors. 23(4). 2302–2302. 9 indexed citations
7.
Yadav, Ashima, et al.. (2023). An Analytical Insight of Discussions and Sentiments of Indians on Omicron-Driven Third Wave of COVID-19. SN Computer Science. 4(6). 2 indexed citations
8.
Yadav, Ashima, Kanchan Kulkarni, Christopher A. Aakre, et al.. (2023). Digital Pulmonology Practice with Phonopulmography Leveraging Artificial Intelligence: Future Perspectives Using Dual Microwave Acoustic Sensing and Imaging. Sensors. 23(12). 5514–5514. 3 indexed citations
9.
Sharma, Palak, Ashima Yadav, Pierre Jaı̈s, et al.. (2023). Targeted Atrial Fibrillation Therapy and Risk Stratification Using Atrial Alternans. Journal of Cardiovascular Development and Disease. 10(2). 36–36. 3 indexed citations
10.
Yadav, Ashima, et al.. (2023). ETMA: Efficient Transformer-Based Multilevel Attention Framework for Multimodal Fake News Detection. IEEE Transactions on Computational Social Systems. 11(4). 5015–5027. 17 indexed citations
11.
Vishwakarma, Dinesh Kumar, Priyanka Meel, Ashima Yadav, & Kuldeep Singh. (2023). A framework of fake news detection on web platform using ConvNet. Social Network Analysis and Mining. 13(1). 16 indexed citations
12.
Yadav, Ashima & Dinesh Kumar Vishwakarma. (2022). A Deep Multi-level Attentive Network for Multimodal Sentiment Analysis. ACM Transactions on Multimedia Computing Communications and Applications. 19(1). 1–19. 54 indexed citations
13.
Yadav, Ashima & Dinesh Kumar Vishwakarma. (2021). A Language-independent Network to Analyze the Impact of COVID-19 on the World via Sentiment Analysis. ACM Transactions on Internet Technology. 22(1). 1–30. 13 indexed citations
14.
Yadav, Ashima & Dinesh Kumar Vishwakarma. (2020). A Multilingual Framework of CNN and Bi-LSTM for Emotion Classification. 1–6. 26 indexed citations
15.
Yadav, Ashima & Dinesh Kumar Vishwakarma. (2020). A unified framework of deep networks for genre classification using movie trailer. Applied Soft Computing. 96. 106624–106624. 41 indexed citations
16.
Gupta, Ishita, et al.. (2020). COVID-19 and its Modes of Transmission. SN Comprehensive Clinical Medicine. 2(10). 1798–1801. 167 indexed citations
17.
Yadav, Ashima & Dinesh Kumar Vishwakarma. (2020). A comparative study on bio-inspired algorithms for sentiment analysis. Cluster Computing. 23(4). 2969–2989. 36 indexed citations
18.
Yadav, Ashima & Dinesh Kumar Vishwakarma. (2020). A Weighted Text Representation framework for Sentiment Analysis of Medical Drug Reviews. 4. 326–332. 15 indexed citations
19.
Vishwakarma, Dinesh Kumar, et al.. (2019). Detection and veracity analysis of fake news via scrapping and authenticating the web search. Cognitive Systems Research. 58. 217–229. 80 indexed citations
20.
Katarya, Rahul & Ashima Yadav. (2018). A comparative study of genetic algorithm in sentiment analysis. 2018 2nd International Conference on Inventive Systems and Control (ICISC). 136–141. 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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