World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
8431
World Ranking
7554
National Ranking
3283

Overview

Yufei Huang is affiliated with the University of Pittsburgh in the United States. Their research primarily focuses on the intersection of molecular biology, oncology, and artificial intelligence, with a significant emphasis on biochemistry, genetics, and molecular biology overall.

The main fields of study Huang works in include:

  • Biochemistry, Genetics and Molecular Biology

Their work spans multiple subfields such as:

  • Molecular Biology
  • Oncology
  • Artificial Intelligence
  • Materials Chemistry
  • Plant Science

The scientist investigates specific topics detailed as:

  • RNA modifications and cancer
  • Bioinformatics and Genomic Networks
  • Cancer-related molecular mechanisms research
  • Machine Learning in Bioinformatics
  • Viral-associated cancers and disorders
  • Advanced Photocatalysis Techniques
  • Computational Drug Discovery Methods

Huang's recent publications include:

  • "Convolutional neural network models for cancer type prediction based on gene expression," 2020, BMC Medical Genomics
  • "Classification of Cancer Types Using Graph Convolutional Neural Networks," 2020, Frontiers in Physics
  • "M6A RNA Methylation Regulates Histone Ubiquitination to Support Cancer Growth and Progression," 2022, Cancer Research
  • "Efficiency of Traditional Chinese medicine targeting the Nrf2/HO-1 signaling pathway," 2020, Biomedicine & Pharmacotherapy
  • "Dynamics analysis and wear prediction of rigid-flexible coupling deployable solar array system with clearance joints considering solid lubrication," 2021, Mechanical Systems and Signal Processing

Frequent co-authors collaborating with Huang are:

  • Shou-Jiang Gao
  • Yu-Chiao Chiu
  • Yidong Chen
  • Stan Z. Li
  • Luping Chen

Contributions have been published mainly in venues such as:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • SSRN Electronic Journal
  • Cancer Research
  • Journal of Medical Virology

Best Publications

  • Particle filtering

    P.M. Djuric;J.H. Kotecha;Jianqui Zhang;Yufei Huang

  • Prediction of microRNAs Associated with Human Diseases Based on Weighted k Most Similar Neighbors

    Ping Xuan;Ke Han;Maozu Guo;Yahong Guo

  • Convolutional neural network models for cancer type prediction based on gene expression

    Milad Mostavi;Milad Mostavi;Yu Chiao Chiu;Yufei Huang;Yufei Huang;Yidong Chen;Yidong Chen

  • Accurate EEG-Based Emotion Recognition on Combined Features Using Deep Convolutional Neural Networks

    Jingxia Chen;P. W. Zhang;Z. J. Mao;Y. F. Huang

  • Predicting drug response of tumors from integrated genomic profiles by deep neural networks

    Yu Chiao Chiu;Hung I.Harry Chen;Hung I.Harry Chen;Tinghe Zhang;Songyao Zhang;Songyao Zhang

  • EEG-based prediction of driver's cognitive performance by deep convolutional neural network

    Mehdi Hajinoroozi;Zijing Mao;Tzyy-Ping Jung;Chin-Teng Lin

  • Survey of Computational Algorithms for MicroRNA Target Prediction

    Dong Yue;Hui Liu;Yufei Huang

  • Exome-based analysis for RNA epigenome sequencing data

    Jia Meng;Xiaodong Cui;Manjeet K. Rao;Yidong Chen

  • A Bayesian framework for the inference of gene regulatory networks from time and pseudo-time series data.

    M Sanchez-Castillo;D Blanco;I M Tienda-Luna;M C Carrion

  • Guitar: An R/Bioconductor Package for Gene Annotation Guided Transcriptomic Analysis of RNA-Related Genomic Features

    Xiaodong Cui;Zhen Wei;Lin Zhang;Hui Liu

  • Improving performance of mammalian microRNA target prediction.

    Hui Liu;Dong Yue;Yidong Chen;Shou Jiang Gao

  • Genomic signal processing.

    Edward R. Dougherty;Yufei Huang;Seungchan Kim;Xiaodong Cai

  • Classification of Cancer Types Using Graph Convolutional Neural Networks

    Ricardo Ramirez;Yu Chiao Chiu;Allen Hererra;Milad Mostavi

  • A novel algorithm for calling mRNA m6A peaks by modeling biological variances in MeRIP-seq data

    Xiaodong Cui;Jia Meng;Shaowu Zhang;Yidong Chen

  • Review of Peak Detection Algorithms in Liquid-Chromatography-Mass Spectrometry

    Jianqiu Zhang;Elias Gonzalez;Travis Hestilow;William Haskins

  • MeT-DB V2.0: elucidating context-specific functions of N6-methyl-adenosine methyltranscriptome

    Hui Liu;Huaizhi Wang;Zhen Wei;Songyao Zhang;Songyao Zhang

  • MeTDiff: A Novel Differential RNA Methylation Analysis for MeRIP-Seq Data

    Xiaodong Cui;Lin Zhang;Jia Meng;Manjeet K. Rao

  • Reconfigurable Intelligent Surfaces-Assisted Multiuser MIMO Uplink Transmission With Partial CSI

    Li You;Jiayuan Xiong;Yufei Huang;Derrick Wing Kwan Ng

  • PlantMiRNAPred: efficient classification of real and pseudo plant pre-miRNAs.

    Ping Xuan;Maozu Guo;Xiaoyan Liu;Yangchao Huang

  • EEG-based biometric identification with deep learning

    Zijing Mao;Wan Xiang Yao;Yufei Huang

  • Reverse engineering gene regulatory networks

    Yufei Huang;I. Tienda-Luna;Yufeng Wang

Frequent Co-Authors

Shou-Jiang Gao
Shou-Jiang Gao University of Pittsburgh
Hui Liu
Hui Liu China University of Mining and Technology
Petar M. Djuric
Petar M. Djuric Stony Brook University
Zhongming Zhao
Zhongming Zhao The University of Texas Health Science Center at Houston
Hua Xu
Hua Xu Yale University
Tzyy-Ping Jung
Tzyy-Ping Jung University of California, San Diego
Bing Zhang
Bing Zhang Baylor College of Medicine
Runsheng Chen
Runsheng Chen Chinese Academy of Sciences
Maozu Guo
Maozu Guo Beijing University of Civil Engineering and Architecture
Lee Cooper
Lee Cooper Northwestern University

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