Priyanka Meel

1.1k citations

32 papers · 661 indexed · 1 hit paper · h-index 10

Sociology and Political Science top 5%
Information Systems top 2%
Artificial Intelligence top 5%
Signal Processing top 5%
Statistical and Nonlinear Physics top 10%

Co-authors: Dinesh Kumar Vishwakarma Ashima Yadav Kuldeep Singh Kulvinder Singh Sanchit Agarwal Sahil Jain Ayush Agarwal Ashish Kumar
Topics: Misinformation and Its Impacts (21 papers)Spam and Phishing Detection (18 papers)Advanced Malware Detection Techniques (8 papers)
Cited by: Information Systems Signal Processing Sociology and Political Science
Journals: Expert Systems with Applications Information Sciences Neural Networks
Partner nations: India

In The Last Decade

Priyanka Meel

27 papers receiving 646 citations

Hit Papers

align trajectories

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.

Fake news, rumor, information pollution in social media and web: A contemporary survey of state-of-the-arts, challenges and opportunities

2019 333 citations Priyanka Meel, Dinesh Kumar Vishwakarma Expert Systems with Applications profile →

Peers

Countries citing papers authored by Priyanka Meel

Since Specialization

Citations

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

Fields of papers citing papers by Priyanka Meel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Priyanka Meel

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Navigating sentiment analysis through fusion, learning, utterance, and attention Methods: An extensive four-fold perspective survey 2025 ·Engineering Applications of Artificial Intelligence ·(unknown),Priyanka Meel,Dinesh Kumar Vishwakarma	0
2	A review of web infodemic analysis and detection trends across multi-modalities using deep neural network 2025 ·International Journal of Data Science and Analytics ·Priyanka Meel,(unknown),(unknown)	1
3	Object Detection using SSD and Efficient net B7 as base Network 2024 ·Ashish Kumar,Priyanka Meel	0
4	Visual Sentiment Recognition via Popular Deep Models on the Memotion Dataset 2024 ·(unknown),Priyanka Meel,Dinesh Kumar Vishwakarma	0
5	Multi-modal fusion using Fine-tuned Self-attention and transfer learning for veracity analysis of web information 2023 ·Expert Systems with Applications ·Priyanka Meel,Dinesh Kumar Vishwakarma	16
6	Comparing Results of Multiple Machine Learning Algorithms on a bilingual dataset for the Detection of Fraudulent News 2023 ·(unknown),(unknown),Priyanka Meel	0
7	Enhancing the Detection of Fake News in Social Media based on Machine Learning Models 2023 ·(unknown),(unknown),Priyanka Meel	1
8	People lie, actions Don't! Modeling infodemic proliferation predictors among social media users 2022 ·Technology in Society ·(unknown),Priyanka Meel	10
9	Computation and Prediction Of Cobb's Angle Using Machine Learning Models 2022 ·2022 2nd International Conference on Intelligent Technologies (CONIT) ·(unknown),(unknown),Priyanka Meel	2
10	ARCNN framework for multimodal infodemic detection 2021 ·Neural Networks ·(unknown),Priyanka Meel	22
11	Stacked Bi-LSTM with Attention and Contextual BERT Embeddings for Fake News Analysis 2021 ·Ayush Agarwal,Priyanka Meel	2
12	Machine Learned Classifiers for Trustworthiness Assessment of Web Information Contents 2021 ·Priyanka Meel,Dinesh Kumar Vishwakarma	6
13	Analysing Public Sentiments Regarding COVID-19 Vaccine on Twitter 2021 ·(unknown),(unknown),Kulvinder Singh,Priyanka Meel	14
14	A Convolutional Neural Network Approach to Diabetic Retinopathy Detection and its Automated Classification 2021 ·(unknown),(unknown),Priyanka Meel,(unknown)	3
15	Web Text Content Credibility Analysis using Max Voting and Stacking Ensemble Classifiers 2020 ·Priyanka Meel,(unknown),Sahil Jain,(unknown)	4
16	Multimodal, Semi-supervised and Unsupervised web content credibility analysis Frameworks 2020 ·(unknown),(unknown),(unknown),Priyanka Meel	5
17	Predicting Flight Delays with Error Calculation using Machine Learned Classifiers 2020 ·Priyanka Meel,(unknown),(unknown),(unknown)	9
18	Fake news, rumor, information pollution in social media and web: A contemporary survey of state-of-the-arts, challenges and opportunitiesbreakdown → 2019 ·Expert Systems with Applications ·Priyanka Meel,Dinesh Kumar Vishwakarma	333
19	Inverse Document Frequency-Weighted Word2Vec Model to Recommend Apparels 2019 ·Priyanka Meel,(unknown)	4
20	Single-Document Summarization Using Sentence Embeddings and K-Means Clustering 2018 ·Sanchit Agarwal,(unknown),Priyanka Meel	6

About Priyanka Meel

Priyanka Meel is a scholar working on Information Systems, Signal Processing and Sociology and Political Science, having authored 32 papers that have together received 661 indexed citations. Recurring topics across this work include Misinformation and Its Impacts (21 papers), Spam and Phishing Detection (18 papers) and Advanced Malware Detection Techniques (8 papers). The work is most often cited by research in Information Systems (344 citations), Signal Processing (134 citations) and Sociology and Political Science (497 citations). Priyanka Meel has collaborated with scholars based in India. Frequent co-authors include Dinesh Kumar Vishwakarma, Dinesh Kumar Vishwakarma, Ashima Yadav, Kuldeep Singh, Kulvinder Singh, Sanchit Agarwal, Sahil Jain, Ayush Agarwal, Dinesh Kumar Vishwakarma and Ashish Kumar. Their work appears in journals such as Expert Systems with Applications, Information Sciences and Neural Networks.

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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