Soujanya Poria

Active 2010–2026

268
Papers
27,181
Citations
63
h-index
151
i10-index

Citations

Citations per year for Soujanya Poria1967: 4 citations1969: 4 citations1979: 2 citations1995: 3 citations1999: 1 citations2001: 2 citations2003: 2 citations2007: 3 citations2010: 1 citations2011: 3 citations2012: 6 citations2013: 31 citations2014: 114 citations2015: 263 citations2016: 430 citations2017: 580 citations2018: 928 citations2019: 1,576 citations2020: 2,097 citations2021: 2,387 citations2022: 1,917 citations2023: 2,136 citations2024: 2,397 citations2025: 2,577 citations2026: 851 citations2027: 1 citations1968: no citations, so this year is not shown1970–1978: no citations, so these years are not shown1980–1994: no citations, so these years are not shown1996–1998: no citations, so these years are not shown2000: no citations, so this year is not shown2002: no citations, so this year is not shown2004–2006: no citations, so these years are not shown2008–2009: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 4,025 citing papers, 28.5% of this breakdownUnited States: 1,670 citing papers, 11.8% of this breakdownIndia: 983 citing papers, 7% of this breakdownUnited Kingdom: 714 citing papers, 5.1% of this breakdownSingapore: 540 citing papers, 3.8% of this breakdownAustralia: 362 citing papers, 2.6% of this breakdownGermany: 362 citing papers, 2.6% of this breakdownItaly: 329 citing papers, 2.3% of this breakdownSouth Korea: 322 citing papers, 2.3% of this breakdownCanada: 317 citing papers, 2.2% of this breakdownSpain: 275 citing papers, 2% of this breakdownJapan: 271 citing papers, 1.9% of this breakdown
0%28.5%Other 27.9%

Fields

  • Computer Science68.6%
  • Psychology13.5%
  • Engineering4.5%
  • Social Sciences3.3%
  • Medicine1.8%
  • Neuroscience1.6%
  • Other6.7%

Topics

  • Sentiment Analysis and Opinion Mining12.2%
  • Topic Modeling9.6%
  • Advanced Text Analysis Techniques6.1%
  • Emotion and Mood Recognition5.7%
  • Natural Language Processing Techniques3.4%
  • Text and Document Classification Technologies3%
  • Other60%

Coauthors

All papers

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  1. Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph

    Authors: , , , , - Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL (1) 2018 cited by 1,211

  2. Multimodal sentiment analysis: A systematic review of history, datasets, multimodal fusion methods, applications, challenges and future directions

    Authors: , , , , - Information Fusion, Inf. Fusion 2022 cited by 711

  3. Recent Trends in Deep Learning Based Natural Language Processing [Review Article]

    Authors: , , , - IEEE Computational Intelligence Magazine, IEEE Comput. Intell. Mag. 2018 cited by 2,860

  4. A review of affective computing: From unimodal analysis to multimodal fusion

    Authors: , , , - Information Fusion, Inf. Fusion 2017 cited by 1,552

  5. Memory Fusion Network for Multi-view Sequential Learning

    Authors: , , , , , - AAAI Conference on Artificial Intelligence 2018 cited by 799

  6. LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

    Authors: , , , , , , , , - Conference on Empirical Methods in Natural Language Processing, EMNLP 2023 cited by 274

  7. MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations

    Authors: , , , , , - Meeting of the Association for Computational Linguistics, ACL (1) 2019 cited by 331

  8. Context-Dependent Sentiment Analysis in User-Generated Videos

    Authors: , , , , , - Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL (1) 2017 cited by 875

  9. A review of deep learning techniques for speech processing

    Authors: , , , , - Information Fusion, Inf. Fusion 2023 cited by 325

  10. Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment

    Authors: , - arXiv (Cornell University), CoRR 2023 cited by 164

  11. Text-to-Audio Generation using Instruction-Tuned LLM and Latent Diffusion Model

    Authors: , , , - arXiv (Cornell University), CoRR 2023 cited by 150

  12. ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection

    Authors: , , , , - Conference on Empirical Methods in Natural Language Processing, EMNLP 2018 cited by 436

  13. Tensor Fusion Network for Multimodal Sentiment Analysis

    Authors: , , , , - Conference on Empirical Methods in Natural Language Processing, EMNLP 2017 cited by 288

  14. Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering

    Authors: , , , , , - arXiv (Cornell University), CoRR 2021 cited by 232

  15. Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos

    Authors: , , , , , - Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers), NAACL-HLT 2018 cited by 454

  16. Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources

    Authors: , , , , , , - ICLR 2024 cited by 183

  17. NORA: A Small Open-Sourced Generalist Vision Language Action Model for Embodied Tasks

    Authors: , , , , , , , - ArXiv.org, CoRR 2025 cited by 76

  18. INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large Language Models

    Authors: , , , - First edition of the Workshop on the Scaling Behavior of Large Language Models (SCALE-LLM 2024), Proceedings of the First edition of the Workshop on the Scaling Behavior of Large Language Models (SCALE-LLM 2024) 2024 cited by 93

  19. Text-to-Audio Generation using Instruction Guided Latent Diffusion Model

    Authors: , , , - International Conference on Multimedia, ACM Multimedia 2023 cited by 78

  20. Multi-task Learning for Multi-modal Emotion Recognition and Sentiment Analysis

    Authors: , , , , , - Conference of the North, NAACL-HLT (1) 2019 cited by 212

  21. Convolutional MKL Based Multimodal Emotion Recognition and Sentiment Analysis

    Authors: , , , - IEEE 16th International Conference on Data Mining (ICDM) 2016 cited by 594

  22. Large Language Models for Automated Open-domain Scientific Hypotheses Discovery

    Authors: , , , , , - Findings of the Association for Computational Linguistics ACL 2024, ACL (Findings) 2024 cited by 63

  23. Contrastive Chain-of-Thought Prompting

    Authors: , , , , - arXiv (Cornell University), CoRR 2023 cited by 61

  24. SenticNet 6: Ensemble Application of Symbolic and Subsymbolic AI for Sentiment Analysis

    Authors: , , , , - International Conference on Information & Knowledge Management, CIKM 2020 cited by 436