Haihua Chen

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Assistant Professor

University of North Texas

United States

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About

Dr. Haihua Chen is an Assistant Professor at the University of North Texas, USA. His research areas encompass scientific novelty measurement, interdisciplinary innovation detection, and data quality enhancement in medical concept normalization, with a focus on leveraging large language models and deep learning techniques. Recent publications include works on knowledge recombination in scientific research and the influence of learning processes in educational contexts.

Recent Grants

Grant: Close

Developing a High-Quality Academic Environment for Broadening Participation of Hispanic Students in Computing

Open Date: 2022-11-01

Close Date: 2025-10-31

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Collaborators (5)

Xian Zhang

Assistant Professor

University of North Texas

UNITED STATES

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K S M Tozammel Hossain

Assistant Professor

University of North Texas

UNITED STATES

View details

Adnan Mahmood

Macquarie University

AUSTRALIA

View details

Yunhe Feng

Assistant Professor

University of North Texas

UNITED STATES

View details

Jiangping Chen

Professor

University of North Texas

UNITED STATES

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Haihua Chen

Research Interests

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Contact this professor

About

Recent Grants

Articles (19)

A hybrid graph and LLM approach for measuring scientific novelty via knowledge recombination and propagation

IBID-CCT: A novel model for interdisciplinary breakthrough innovation detection based on the cusp catastrophe theory

Enhancing data quality in medical concept normalization through large language models

Deep learning meets bibliometrics: A survey of citation function classification

Exploring the influence of regulated learning processes on learners’ prestige in project-based learning

Applications of Deep Learning Techniques

Empowering Consumer Decision-Making: Decoding Incentive vs. Organic Reviews for Smarter Choices Through Advanced Textual Analysis

An effective framework for measuring the novelty of scientific articles through integrated topic modeling and cloud model

Editorial: Innovation measurement for scientific communication (IMSC) in the era of big data

ICAD-MI: Interdisciplinary concept association discovery from the perspective of metaphor interpretation

Joint Optimization of Computation, Communication and Caching in D2D-Assisted Caching-Enhanced MEC System

Identifying interdisciplinary topics and their evolution based on BERTopic

Detecting Interdisciplinary Semantic Drift for Knowledge Organization based on Normal Cloud Model

Construction and evaluation of a domain-specific knowledge graph for knowledge discovery

Construction and evaluation of a domain-specific knowledge graph for knowledge discovery

Constructing a high-quality dataset for automated creation of summaries of fundamental contributions of research articles

Uncover Marginalized Narratives of Japanese American Incarceration: An Annotation Scheme for Natural Language Processing and Data Analytics

A comparative evaluation of biomedical similar article recommendation

Measuring the innovation of method knowledge elements in scientific literature

Collaborators (5)

Xian Zhang

K S M Tozammel Hossain

Adnan Mahmood

Yunhe Feng

Jiangping Chen

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