World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
8688
World Ranking
9162
National Ranking
3899

Overview

Xiaohua Hu is affiliated with Drexel University in the United States and works predominantly in the fields of engineering and materials science. Their research spans several specialized subfields, including mechanical engineering, materials chemistry, mechanics of materials, electrical and electronic engineering, and plant science.

The primary topics Xiaohua Hu investigates concern microstructure and mechanical properties, with particular focus on microstructure and mechanical properties of steels, metal and thin film mechanics, aluminum alloys composites properties, metallurgy and material forming, aluminum alloy microstructure properties, and metal forming simulation techniques.

Frequent publication venues for their work include:

  • SSRN Electronic Journal
  • Materials Science and Engineering A
  • Computational Materials Science
  • Materials & Design
  • International Journal of Plasticity

Notable recent papers authored or co-authored by Xiaohua Hu are:

  • Photooligomerization Determines Photosensitivity and Photoreactivity of Plant Cryptochromes, 2020, Molecular Plant
  • Austenite formation and cementite dissolution during intercritical annealing of a medium-manganese steel from a martensitic condition, 2021, Materials & Design
  • Regulation of Arabidopsis photoreceptor CRY2 by two distinct E3 ubiquitin ligases, 2021, Nature Communications
  • Differential photoregulation of the nuclear and cytoplasmic CRY1 in Arabidopsis, 2022, New Phytologist
  • Experiment and non-local crystal plasticity finite element study of nanoindentation on Al-8Ce-10Mg alloy, 2021, International Journal of Solids and Structures

Xiaohua Hu collaborates frequently with researchers such as Jiahao Cheng, Xin Sun, Amit Shyam, Huan Xiang, and Wei Ya. Jiahao Cheng is the most frequent coauthor, appearing in numerous joint publications.

Best Publications

  • LEARNING IN RELATIONAL DATABASES: A ROUGH SET APPROACH

    Xiaohua Hu;Nick Cercone

  • Exploiting Wikipedia as external knowledge for document clustering

    Xiaohua Hu;Xiaodan Zhang;Caimei Lu;E. K. Park

  • The Evaluation of Sentence Similarity Measures

    Palakorn Achananuparp;Xiaohua Hu;Xiajiong Shen

  • Knowledge discovery in databases: an attribute-oriented rough set approach

    Xiaohua Hu

  • User tags versus expert-assigned subject terms: A comparison of LibraryThing tags and Library of Congress Subject Headings

    Caimei Lu;Jung-Ran Park;Xiaohua Hu

  • Proceedings of the 2013 IEEE International Conference on Big Data

    Xiaohua Hu;Tsau Young Lin;Vijay Raghavan;Benjamin Wah

  • A New Rough Sets Model Based on Database Systems

    Xiaohua Tony Hu;T. Y. Lin;Jianchao Han

  • Integration of association rules and ontologies for semantic query expansion

    Min Song;Il-Yeol Song;Xiaohua Hu;Robert B. Allen

  • Cluster ensemble and its applications in gene expression analysis

    Xiaohua Hu;Illhoi Yoo

  • Mining knowledge rules from databases: a rough set approach

    Xiaohua Hu;N. Cercone

  • A comparative study of ontology based term similarity measures on PubMed document clustering

    Xiaodan Zhang;Liping Jing;Xiaohua Hu;Michael Ng

  • A Data Mining Approach for Retailing Bank Customer Attrition Analysis

    Xiaohua Hu

  • Using rough sets theory and database operations to construct a good ensemble of classifiers for data mining applications

    Xiaohua Hu

  • MaxMatcher : Biological concept extraction using approximate dictionary lookup

    Xiaohua Zhou;Xiaodan Zhang;Xiaohua Hu

  • Biclustering of microarray data with MOSPO based on crowding distance

    Junwan Liu;Zhoujun Li;Xiaohua Hu;Yiming Chen

  • Towards effective document clustering: A constrained K-means based approach

    Guobiao Hu;Shuigeng Zhou;Jihong Guan;Xiaohua Hu

  • Dragon Toolkit: Incorporating Auto-Learned Semantic Knowledge into Large-Scale Text Retrieval and Mining

    Xiaohua Zhou;Xiaodan Zhang;Xiaohua Hu

  • A comprehensive comparison study of document clustering for a biomedical digital library MEDLINE

    Illhoi Yoo;Xiaohua Hu

  • A coherent graph-based semantic clustering and summarization approach for biomedical literature and a new summarization evaluation method

    Illhoi Yoo;Xiaohua Hu;Il Yeol Song

  • Generalizations of multisets and rough approximations

    Sadaaki Miyamoto

Frequent Co-Authors

Xiaodan Zhang
Xiaodan Zhang Nankai University
Il-Yeol Song
Il-Yeol Song Drexel University
Nick Cercone
Nick Cercone York University
Zhoujun Li
Zhoujun Li Beihang University
Min Song
Min Song Yonsei University
Tsau Young Lin
Tsau Young Lin San Jose State University
Rui Yan
Rui Yan Renmin University of China
Xindong Wu
Xindong Wu Hefei University of Technology
Yan-Qing Zhang
Yan-Qing Zhang Georgia State University
Jianxin Wang
Jianxin Wang Central South University

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