World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
63
Citations
14894
World Ranking
2766
National Ranking
1372

Overview

Hongfang Liu is affiliated with the Mayo Clinic in the United States and has a prolific research output primarily in engineering and materials science, with a strong interdisciplinary focus spanning several subfields.

The main areas of study include engineering and materials science, supported by extensive work in the following subfields:

  • Materials Chemistry
  • Electrical and Electronic Engineering
  • Renewable Energy, Sustainability and the Environment
  • Biomedical Engineering
  • Civil and Structural Engineering

The scientist's research interests cover a range of topics, including:

  • Corrosion Behavior and Inhibition
  • Concrete Corrosion and Durability
  • Hydrogen embrittlement and corrosion behaviors in metals
  • Electrocatalysts for Energy Conversion
  • Advanced battery technologies research
  • Fuel Cells and Related Materials
  • Electrochemical sensors and biosensors

Hongfang Liu has contributed to many publications, with notable frequent publication venues being:

  • Corrosion Science
  • SSRN Electronic Journal
  • Chemical Engineering Journal
  • The Cambridge Structural Database
  • Optics Letters

Among the recent significant papers authored or coauthored by Hongfang Liu are:

  • Digital twins for health: a scoping review, 2024, npj Digital Medicine
  • Preparation of nickel-iron hydroxides by microorganism corrosion for efficient oxygen evolution, 2020, Nature Communications
  • A Zeolitic-Imidazole Frameworks-Derived Interconnected Macroporous Carbon Matrix for Efficient Oxygen Electrocatalysis in Rechargeable Zinc-Air Batteries, 2020, Advanced Materials
  • Two amino acid derivatives as high efficient green inhibitors for the corrosion of carbon steel in CO2-saturated formation water, 2021, Corrosion Science
  • Dextran derivatives as highly efficient green corrosion inhibitors for carbon steel in CO2-saturated oilfield produced water: Experimental and theoretical approaches, 2021, Chemical Engineering Journal

The scientist has collaborated frequently with several coauthors, including:

  • Guangfang Li
  • Tiansui Zhang
  • Zhengyun Wang
  • Hongwei Liu
  • Shencheng Fu

Best Publications

  • CellMiner: a web-based suite of genomic and pharmacologic tools to explore transcript and drug patterns in the NCI-60 cell line set

    William C. Reinhold;Margot Sunshine;Margot Sunshine;Hongfang Liu;Sudhir Varma

  • Clinical information extraction applications: A literature review.

    Yanshan Wang;Liwei Wang;Majid Rastegar-Mojarad;Sungrim Moon

  • Overview of BioCreative II gene mention recognition

    Larry Smith;Lorraine K Tanabe;Rie Johnson nee Ando;Cheng-Ju Kuo

  • Overview of BioCreative II gene normalization.

    Alexander A. Morgan;Zhiyong Lu;Xinglong Wang;Aaron M. Cohen

  • The CHEMDNER corpus of chemicals and drugs and its annotation principles.

    Martin Krallinger;Obdulia Rabal;Florian Leitner;Miguel Vazquez

  • A clinical text classification paradigm using weak supervision and deep representation.

    Yanshan Wang;Sunghwan Sohn;Sijia Liu;Feichen Shen

  • A comparison of word embeddings for the biomedical natural language processing

    Yanshan Wang;Sijia Liu;Naveed Afzal;Majid Rastegar-Mojarad

  • CLAMP - a toolkit for efficiently building customized clinical natural language processing pipelines.

    Ergin Soysal;Jingqi Wang;Min Jiang;Yonghui Wu

  • Validating drug repurposing signals using electronic health records: a case study of metformin associated with reduced cancer mortality

    Hua Xu;Melinda C Aldrich;Qingxia Chen;Hongfang Liu

  • Building effective defect-prediction models in practice

    A.G. Koru;H. Liu

  • Deep learning and alternative learning strategies for retrospective real-world clinical data

    David Chen;Sijia Liu;Paul Kingsbury;Sunghwan Sohn

  • Gene name ambiguity of eukaryotic nomenclatures

    Lifeng Chen;Hongfang Liu;Carol Friedman

  • An Investigation into the Functional Form of the Size-Defect Relationship for Software Modules

    A.G. Koru;Dongsong Zhang;K. El Emam;Hongfang Liu

  • The gene normalization task in BioCreative III

    Zhiyong Lu;Hung-Yu Kao;Chih-Hsuan Wei;Minlie Huang

  • Automatic Resolution of Ambiguous Terms Based on Machine Learning and Conceptual Relations in the UMLS

    Hongfang Liu;Stephen B. Johnson;Carol Friedman

  • Representing Information in Patient Reports Using Natural Language Processing and the Extensible Markup Language

    Carol Friedman;George Hripcsak;Lyudmila Shagina;Hongfang Liu

  • An information extraction framework for cohort identification using electronic health records.

    Hongfang Liu;Suzette J Bielinski;Sunghwan Sohn;Sean Murphy

  • Framework for a protein ontology.

    Darren A. Natale;Cecilia N. Arighi;Winona C. Barker;Judith A. Blake

  • Clinical concept extraction: A methodology review

    Sunyang Fu;Sunyang Fu;David Chen;Huan He;Sijia Liu

  • Using machine learning for concept extraction on clinical documents from multiple data sources.

    Manabu Torii;Kavishwar B. Wagholikar;Kavishwar B. Wagholikar;Hongfang Liu;Hongfang Liu

  • mRNA and microRNA Expression Profiles of the NCI-60 Integrated with Drug Activities

    Hongfang Liu;Petula D'Andrade;Stephanie Fulmer-Smentek;Philip Lorenzi;Philip Lorenzi

Frequent Co-Authors

Sunghwan Sohn
Sunghwan Sohn Mayo Clinic
Sijia Liu
Sijia Liu Michigan State University
Christopher G. Chute
Christopher G. Chute Johns Hopkins University
William C. Reinhold
William C. Reinhold National Institutes of Health
Carol Friedman
Carol Friedman Columbia University
Hua Xu
Hua Xu Yale University
Cathy H. Wu
Cathy H. Wu University of Delaware
Yves Pommier
Yves Pommier National Institutes of Health
John N. Weinstein
John N. Weinstein The University of Texas MD Anderson Cancer Center
William R. Hersh
William R. Hersh Oregon Health & Science University

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