World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
4968
World Ranking
11737
National Ranking
1453

Overview

Zhihao Yang is affiliated with Dalian University of Technology in China. Their research spans several interconnected fields, primarily focusing on computer science and biochemistry, genetics, and molecular biology. They have contributed extensively to artificial intelligence and molecular biology, alongside notable work in materials chemistry, biomedical engineering, and computer vision and pattern recognition.

Their scientific publications frequently address topics such as topic modeling, biomedical text mining and ontologies, natural language processing techniques, advanced text analysis techniques, machine learning applied to bioinformatics, advanced graph neural networks, and bioinformatics and genomic networks.

Yang has published multiple papers in respected journals, including:

  • Biomedical named entity recognition using BERT in the machine reading comprehension framework (2021), Journal of Biomedical Informatics
  • A neural network-based joint learning approach for biomedical entity and relation extraction from biomedical literature (2020), Journal of Biomedical Informatics
  • A multi-view network for real-time emotion recognition in conversations (2021), Knowledge-Based Systems
  • Multimodal reasoning based on knowledge graph embedding for specific diseases (2022), Bioinformatics
  • Taiyi: a bilingual fine-tuned large language model for diverse biomedical tasks (2024), Journal of the American Medical Informatics Association

The main venues where Yang has published regularly include:

  • Journal of Biomedical Informatics
  • arXiv (Cornell University)
  • Knowledge-Based Systems
  • BMC Bioinformatics
  • JMIR Medical Informatics

They frequently collaborate with notable coauthors such as Hongfei Lin, Jian Wang, Yijia Zhang, Lei Wang, and Guangyuan Tian.

Their research bridges computational methods and biomedical applications, involving advanced machine learning techniques, neural networks, and knowledge representation approaches. The topics of recent papers reflect a focus on natural language processing in biomedical contexts, real-time emotion recognition, and the application of knowledge graphs for disease understanding.

Best Publications

  • BioWordVec, improving biomedical word embeddings with subword information and MeSH.

    Yijia Zhang;Yijia Zhang;Qingyu Chen;Zhihao Yang;Hongfei Lin

  • An attention-based BiLSTM-CRF approach to document-level chemical named entity recognition

    Ling Luo;Zhihao Yang;Pei Yang;Yin Zhang

  • Drug Drug Interaction Extraction from Biomedical Literature Using Syntax Convolutional Neural Network

    Zhehuan Zhao;Zhihao Yang;Ling Luo;Hongfei Lin

  • Drug-drug interaction extraction via hierarchical RNNs on sequence and shortest dependency paths.

    Yijia Zhang;Wei Zheng;Wei Zheng;Hongfei Lin;Jian Wang

  • A hybrid model based on neural networks for biomedical relation extraction.

    Yijia Zhang;Hongfei Lin;Zhihao Yang;Jian Wang

  • An attention-based effective neural model for drug-drug interactions extraction

    Wei Zheng;Wei Zheng;Hongfei Lin;Ling Luo;Zhehuan Zhao

  • SemaTyP: a knowledge graph based literature mining method for drug discovery

    Shengtian Sang;Zhihao Yang;Lei Wang;Xiaoxia Liu

  • A neural network-based joint learning approach for biomedical entity and relation extraction from biomedical literature

    Ling Luo;Zhihao Yang;Mingyu Cao;Lei Wang

  • Neural network-based approaches for biomedical relation classification: A review.

    Yijia Zhang;Hongfei Lin;Zhihao Yang;Jian Wang

  • Incorporating rich background knowledge for gene named entity classification and recognition

    Yanpeng Li;Hongfei Lin;Zhihao Yang

  • A protein-protein interaction extraction approach based on deep neural network

    Zhehuan Zhao;Zhihao Yang;Hongfei Lin;Jian Wang

  • A multi-view network for real-time emotion recognition in conversations

    Hui Ma;Jian Wang;Hongfei Lin;Xuejun Pan

  • GrEDeL: A Knowledge Graph Embedding Based Method for Drug Discovery From Biomedical Literatures

    Shengtian Sang;Zhihao Yang;Xiaoxia Liu;Lei Wang

  • BioPPISVMExtractor: A protein-protein interaction extractor for biomedical literature using SVM and rich feature sets

    Zhihao Yang;Hongfei Lin;Yanpeng Li

  • Taiyi: a bilingual fine-tuned large language model for diverse biomedical tasks

    Unknown

  • Extracting Drug-Drug Interaction from the Biomedical Literature Using a Stacked Generalization-Based Approach

    Linna He;Zhihao Yang;Zhehuan Zhao;Hongfei Lin

  • Multiple kernel learning in protein-protein interaction extraction from biomedical literature

    Zhihao Yang;Nan Tang;Xiao Zhang;Hongfei Lin

  • Adverse drug reaction detection via a multihop self-attention mechanism

    Tongxuan Zhang;Hongfei Lin;Yuqi Ren;Liang Yang

  • Integrating shortest dependency path and sentence sequence into a deep learning framework for relation extraction in clinical text

    Zhiheng Li;Zhihao Yang;Chen Shen;Jun Xu

  • Brief Communication: Exploiting the performance of dictionary-based bio-entity name recognition in biomedical literature

    Zhihao Yang;Hongfei Lin;Yanpeng Li

  • Disease named entity recognition from biomedical literature using a novel convolutional neural network.

    Zhehuan Zhao;Zhihao Yang;Ling Luo;Lei Wang

  • A method for predicting protein complex in dynamic PPI networks.

    Yijia Zhang;Hongfei Lin;Zhihao Yang;Jian Wang

  • Opinion Mining in e-Learning System

    Dan Song;Hongfei Lin;Zhihao Yang

Frequent Co-Authors

Feng Xia
Feng Xia RMIT University
Lei Wang
Lei Wang University of California, San Francisco
Bo Xu
Bo Xu Nanjing University of Science and Technology
Xiaodong Liu
Xiaodong Liu Dalian University of Technology
Zhiyong Lu
Zhiyong Lu National Institutes of Health
Xiaohua Hu
Xiaohua Hu Drexel University
Yu Liu
Yu Liu University of Electronic Science and Technology of China
Michel Dumontier
Michel Dumontier Maastricht University
Hua Xu
Hua Xu Yale University
Xiangjie Kong
Xiangjie Kong Zhejiang University of Technology

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