World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
85
Citations
24043
World Ranking
814
National Ranking
124

Overview

Yi Pan is affiliated with the Shenzhen Institutes of Advanced Technology in China. Their research spans multiple fields, primarily within computer science and biochemistry, genetics, and molecular biology. The scientist's work integrates computational methods and bioinformatics with a focus on molecular biology and cancer research.

The main fields of study of Yi Pan encompass:

  • Computer Science
  • Biochemistry, Genetics and Molecular Biology

The subfields of study include:

  • Molecular Biology
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computational Theory and Mathematics
  • Cancer Research

Yi Pan's research topics highlight a combination of computational and biological themes. Significant areas of focus are:

  • Computational Drug Discovery Methods
  • Bioinformatics and Genomic Networks
  • Circular RNAs in diseases
  • Cancer-related molecular mechanisms research
  • MicroRNA in disease regulation
  • Machine Learning in Bioinformatics
  • IoT and Edge/Fog Computing

Among Yi Pan's recent papers are:

  • Artificial intelligence in cancer target identification and drug discovery, 2022, Signal Transduction and Targeted Therapy
  • Generative Adversarial Networks, 2021, ACM Computing Surveys
  • Deep Learning Based Drug Screening for Novel Coronavirus 2019-nCov, 2020, Interdisciplinary Sciences Computational Life Sciences
  • Variational Few-Shot Learning for Microservice-Oriented Intrusion Detection in Distributed Industrial IoT, 2021, IEEE Transactions on Industrial Informatics
  • Gradient amplification: An efficient way to train deep neural networks, 2020, Big Data Mining and Analytics

Yi Pan frequently collaborates with several co-authors, including:

  • Xiujuan Lei
  • Yanjie Wei
  • Chunyan Ji
  • Haiping Zhang
  • Jong Hyuk Park

The scholar publishes regularly in select venues, with notable frequency in:

  • arXiv (Cornell University)
  • IEEE/ACM Transactions on Computational Biology and Bioinformatics
  • Big Data Mining and Analytics
  • Briefings in Bioinformatics
  • Journal of Computer Science and Technology

Yi Pan has also contributed to several books published by Springer Science+Business Media, including:

  • Advances in Computer Science and Ubiquitous Computing (2021)
  • Advances in Computer Science and Ubiquitous Computing (2023)
  • Computer Networks and IoT (2024)
  • Artificial Intelligence and Mobile Services - AIMS 2021 (2022)

Best Publications

  • CytoNCA: a cytoscape plugin for centrality analysis and evaluation of protein interaction networks.

    Yu Tang;Min Li;Jianxin Wang;Yi Pan

  • A survey of MRI-based brain tumor segmentation methods

    Jin Liu;Min Li;Jianxin Wang;Fangxiang Wu

  • A study of the routing and spectrum allocation in spectrum-sliced Elastic Optical Path networks

    Yang Wang;Xiaojun Cao;Yi Pan

  • Drug repositioning based on comprehensive similarity measures and Bi-Random walk algorithm

    Huimin Luo;Jianxin Wang;Min Li;Junwei Luo

  • Identification of Essential Proteins Based on Edge Clustering Coefficient

    Jianxin Wang;Min Li;Huan Wang;Yi Pan

  • An improved method for forecasting enrollments based on fuzzy time series and particle swarm optimization

    I-Hong Kuo;Shi-Jinn Horng;Tzong-Wann Kao;Tsung-Lieh Lin

  • Generative Adversarial Networks: A Survey Toward Private and Secure Applications

    Zhipeng Cai;Zuobin Xiong;Honghui Xu;Peng Wang

  • b-SPECS+: Batch Verification for Secure Pseudonymous Authentication in VANET

    Shi-Jinn Horng;Shiang-Feng Tzeng;Yi Pan;Pingzhi Fan

  • Applications of Deep Learning to MRI Images: A Survey

    Jin Liu;Yi Pan;Min Li;Ziyue Chen

  • An Efficient Watermarking Method Based on Significant Difference of Wavelet Coefficient Quantization

    Wei-Hung Lin;Shi-Jinn Horng;Tzong-Wann Kao;Pingzhi Fan

  • A new essential protein discovery method based on the integration of protein-protein interaction and gene expression data

    Min Li;Min Li;Hanhui Zhang;Jian-xin Wang;Yi Pan;Yi Pan

  • Prediction of lncRNA-disease associations based on inductive matrix completion.

    Chengqian Lu;Mengyun Yang;Feng Luo;Fang-Xiang Wu

  • A Fast Hierarchical Clustering Algorithm for Functional Modules Discovery in Protein Interaction Networks

    Jianxin Wang;Min Li;Jianer Chen;Yi Pan

  • Classification of autism spectrum disorder by combining brain connectivity and deep neural network classifier

    Yazhou Kong;Jianliang Gao;Yunpei Xu;Yi Pan;Yi Pan

  • Parallel granular neural networks for fast credit card fraud detection

    M. Syeda;Yan-Qing Zhang;Yi Pan

  • Predicting essential proteins based on weighted degree centrality

    Xiwei Tang;Jianxin Wang;Jiancheng Zhong;Yi Pan

  • A local average connectivity-based method for identifying essential proteins from the network level

    Min Li;Jianxin Wang;Xiang Chen;Huan Wang

  • Classification of Alzheimer's Disease Using Whole Brain Hierarchical Network

    Jin Liu;Min Li;Wei Lan;Fang-Xiang Wu

  • LDAP: a web server for lncRNA-disease association prediction

    Wei Lan;Min Li;Kaijie Zhao;Jin Liu

  • Comparative analysis of quality of service and memory usage for adaptive failure detectors in healthcare systems

    Naixue Xiong;A. Vasilakos;L. Yang;Lingyang Song

  • An Efficient Watermarking Method Based on Significant Difference of

    Wei-Hung Lin;Shi-Jinn Horng;Tzong-Wann Kao;Pingzhi Fan

Frequent Co-Authors

Jianxin Wang
Jianxin Wang Central South University
Min Li
Min Li Central South University
Fang-Xiang Wu
Fang-Xiang Wu University of Saskatchewan
Keqin Li
Keqin Li State University of New York at New Paltz
Phang C. Tai
Phang C. Tai Georgia State University
Yang Xiao
Yang Xiao University of Alabama
Tianrui Li
Tianrui Li Southwest Jiaotong University
Jong Hyuk Park
Jong Hyuk Park Seoul National University of Science and Technology
Mounir Hamdi
Mounir Hamdi Hamad bin Khalifa University
Pingzhi Fan
Pingzhi Fan Southwest Jiaotong University

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