Deepanway Ghosal

1.3k total citations
22 papers, 673 citations indexed

About

Deepanway Ghosal is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Deepanway Ghosal has authored 22 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 5 papers in Signal Processing. Recurrent topics in Deepanway Ghosal's work include Topic Modeling (10 papers), Sentiment Analysis and Opinion Mining (6 papers) and Music and Audio Processing (5 papers). Deepanway Ghosal is often cited by papers focused on Topic Modeling (10 papers), Sentiment Analysis and Opinion Mining (6 papers) and Music and Audio Processing (5 papers). Deepanway Ghosal collaborates with scholars based in Singapore, United States and India. Deepanway Ghosal's co-authors include Md Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya, Soujanya Poria, Maheshkumar H. Kolekar, Dushyant Singh Chauhan, Navonil Majumder, Sadao Kurohashi, Rada Mihalcea and Kumar Abhishek and has published in prestigious journals such as IEEE Access, Neurocomputing and IEEE Transactions on Affective Computing.

In The Last Decade

Deepanway Ghosal

21 papers receiving 645 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deepanway Ghosal Singapore 12 441 184 147 137 58 22 673
Roeland Ordelman Netherlands 14 499 1.1× 295 1.6× 254 1.7× 67 0.5× 91 1.6× 77 798
Rowan Zellers United States 8 729 1.7× 257 1.4× 103 0.7× 191 1.4× 35 0.6× 13 911
Gina‐Anne Levow United States 14 975 2.2× 107 0.6× 132 0.9× 223 1.6× 91 1.6× 78 1.1k
Amílcar Cardoso Portugal 13 199 0.5× 210 1.1× 117 0.8× 129 0.9× 32 0.6× 71 518
Eugene Kharitonov Russia 15 727 1.6× 108 0.6× 416 2.8× 64 0.5× 12 0.2× 43 1.1k
Minlie Huang China 12 890 2.0× 163 0.9× 43 0.3× 101 0.7× 82 1.4× 35 1.0k
Kinjal Adhvaryu India 5 301 0.7× 83 0.5× 49 0.3× 88 0.6× 42 0.7× 11 443
Dipankar Das Bangladesh 9 338 0.8× 93 0.5× 84 0.6× 50 0.4× 104 1.8× 51 553
Fadi Biadsy United States 20 821 1.9× 158 0.9× 295 2.0× 160 1.2× 23 0.4× 41 1.0k
K. M. Azharul Hasan Bangladesh 13 401 0.9× 70 0.4× 51 0.3× 53 0.4× 72 1.2× 109 619

Countries citing papers authored by Deepanway Ghosal

Since Specialization
Citations

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

Fields of papers citing papers by Deepanway Ghosal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepanway Ghosal

This figure shows the co-authorship network connecting the top 25 collaborators of Deepanway Ghosal. A scholar is included among the top collaborators of Deepanway Ghosal 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 Deepanway Ghosal. Deepanway Ghosal 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.
2.
Chia, Yew Ken, et al.. (2024). PuzzleVQA: Diagnosing Multimodal Reasoning Challenges of Language Models with Abstract Visual Patterns. 16259–16273. 1 indexed citations
3.
Majumder, Navonil, et al.. (2024). Tango 2: Aligning Diffusion-based Text-to-Audio Generations through Direct Preference Optimization. 564–572. 12 indexed citations
4.
Melechovský, Jan, Zixun Guo, Deepanway Ghosal, et al.. (2024). Mustango: Toward Controllable Text-to-Music Generation. 8293–8316. 11 indexed citations
5.
Kong, Zhifeng, Deepanway Ghosal, Navonil Majumder, et al.. (2024). Improving Text-To-Audio Models with Synthetic Captions. ARCA (Università Ca' Foscari Venezia). 1–5. 2 indexed citations
6.
Ghosal, Deepanway, et al.. (2023). Text-to-Audio Generation using Instruction Guided Latent Diffusion Model. ARCA (Università Ca' Foscari Venezia). 3590–3598. 44 indexed citations
7.
Ghosal, Deepanway, Navonil Majumder, Roy Lee, Rada Mihalcea, & Soujanya Poria. (2023). Language Guided Visual Question Answering: Elevate Your Multimodal Language Model Using Knowledge-Enriched Prompts. 12096–12102. 2 indexed citations
8.
Ghosal, Deepanway, et al.. (2023). ReTAG: Reasoning Aware Table to Analytic Text Generation. 6310–6324.
9.
Majumder, Navonil, Deepanway Ghosal, Devamanyu Hazarika, et al.. (2022). Exemplars-Guided Empathetic Response Generation Controlled by the Elements of Human Communication. IEEE Access. 10. 77176–77190. 14 indexed citations
10.
Ghosal, Deepanway, Navonil Majumder, Rada Mihalcea, & Soujanya Poria. (2022). Two is Better than Many? Binary Classification as an Effective Approach to Multi-Choice Question Answering. 10158–10166. 4 indexed citations
11.
Ghosal, Deepanway, et al.. (2022). Improving Zero-Shot Learning Baselines with Commonsense Knowledge. Cognitive Computation. 14(6). 2212–2222. 12 indexed citations
12.
Ghosal, Deepanway, Navonil Majumder, Rada Mihalcea, & Soujanya Poria. (2021). STaCK: Sentence Ordering with Temporal Commonsense Knowledge. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 8676–8686. 4 indexed citations
13.
Ghosal, Deepanway, Navonil Majumder, Rada Mihalcea, & Soujanya Poria. (2021). Exploring the Role of Context in Utterance-level Emotion, Act and Intent Classification in Conversations: An Empirical Study. 1435–1449. 9 indexed citations
14.
Akhtar, Md Shad, Dushyant Singh Chauhan, Deepanway Ghosal, et al.. (2019). Multi-task Learning for Multi-modal Emotion Recognition and Sentiment Analysis. 370–379. 144 indexed citations
15.
Akhtar, Md Shad, Deepanway Ghosal, Asif Ekbal, Pushpak Bhattacharyya, & Sadao Kurohashi. (2019). All-in-One: Emotion, Sentiment and Intensity Prediction Using a Multi-Task Ensemble Framework. IEEE Transactions on Affective Computing. 13(1). 285–297. 75 indexed citations
16.
Ghosal, Deepanway & Maheshkumar H. Kolekar. (2018). Music Genre Recognition Using Deep Neural Networks and Transfer Learning. 2087–2091. 59 indexed citations
17.
Ghosal, Deepanway, Md Shad Akhtar, Dushyant Singh Chauhan, et al.. (2018). Contextual Inter-modal Attention for Multi-modal Sentiment Analysis. 3454–3466. 121 indexed citations
18.
19.
Ghosal, Deepanway, et al.. (2017). Classification of fashion article images using convolutional neural networks. 1–6. 55 indexed citations
20.
Akhtar, Md Shad, Kumar Abhishek, Deepanway Ghosal, Asif Ekbal, & Pushpak Bhattacharyya. (2017). A Multilayer Perceptron based Ensemble Technique for Fine-grained Financial Sentiment Analysis. 62 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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