Susan Gauch Data-verified

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

High Impact

Researcher

Last publication 2026 Last refreshed 2026-05-16

faculty

32 h-index 166 pubs 4,312 cited

Biography and Research Information

OverviewAI-generated summary

Susan Gauch's research interests lie at the intersection of computer science, natural language processing, and biomedical applications. Her work has focused on developing and applying deep learning models for various tasks, including facial micro-expression recognition, sentiment analysis for stock prediction, and enriching consumer health vocabularies. She has explored methods to incorporate word order into GloVe embeddings (WOVe) and has investigated BERT-based models for nuanced tasks like micro-expression analysis.

Gauch has also contributed to the application of artificial intelligence in health-related fields, including identifying and training deep learning networks on biomedical datasets. Her recent work includes a study on integrating multiple imaging modalities and physiological data to evaluate macroangiopathy in myositides, demonstrating a commitment to leveraging computational methods for medical diagnosis and understanding disease mechanisms. She has a strong publication record, with 165 total publications and 4,296 citations, and an h-index of 32, designating her as a highly cited researcher. Her collaborations include work with Andrew Mackey, Han‐Seok Seo, Kevin Labille, and Caleb Parks.

Metrics

  • h-index: 32
  • Publications: 166
  • Citations: 4,312

Selected Publications

  • Causal Analysis of Author Demographics in Academic Peer Review (2026)
  • From Bias to Balance: Fairness-Aware Paper Recommendation for Equitable Peer Review (2026)
  • Contrastive Learning for Conversational Emotion Recognition Using Knowledge Enhancement of Large Language Models (2025)
  • Predicting Stock Price Movement with LLM-Enhanced Tweet Emotion Analysis (2025)
  • NeIn: Telling What You Don't Want (2025)
    1 citation DOI OpenAlex
  • Assessing the value of phase to deep SAR ATR via noninferiority testing (2025)
  • Comparison Analyses of Consumer Acceptance, Evoked Emotions, and Purchase Intent Between Gluten‐Containing Versus Gluten‐Free Chocolate Chip Cookie Products (2025)
    2 citations DOI OpenAlex
  • Incorporating Classifier-Free Guidance in Diffusion Model-Based Recommendation (2024)
  • Mind2: Mind-to-Mind Emotional Support System with Bidirectional Cognitive Discourse Analysis (2024)
  • SetBERT: Enhancing Retrieval Performance for Boolean Logic and Set Operation Queries (2024)
    1 citation DOI OpenAlex
  • Prompt Distillation for Emotion Analysis (2024)
  • Identifying and training deep learning neural networks on biomedical-related datasets (2024)
    5 citations DOI OpenAlex
  • Graph pretraining approach to utilize synthetic data for SAR ATR (2024)
    1 citation DOI OpenAlex
  • Multidimensional Fairness in Paper Recommendation (2023)
  • Bridging the synthetic to measured SAR gap by splitting style and content (2023)
    1 citation DOI OpenAlex

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Collaboration Network

73 Collaborators 22 Institutions 7 Countries

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