World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
40
Citations
5585
World Ranking
7415
National Ranking
75

Overview

Shinn-Ying Ho is affiliated with National Yang Ming Chiao Tung University in Taiwan. Their research focuses primarily on medical and molecular biology fields, with notable contributions to cancer research and radiology. They have published extensively in topics such as microRNA in disease regulation, cancer-related molecular mechanisms research, and the use of radiomics and machine learning in medical imaging.

The scientist's work frequently addresses hepatocellular carcinoma, contributing to understanding its treatment and prognosis. Additionally, their research involves circular RNAs in diseases, SARS-CoV-2 and COVID-19 research, and viral infectious diseases and gene expression in insects, reflecting a broad range of biomedical interests.

Among their recent publications are the following:

  • "Novel miRNA signature for predicting the stage of hepatocellular carcinoma" (2020) published in Scientific Reports
  • "Evolutionary Learning-Derived Clinical-Radiomic Models for Predicting Early Recurrence of Hepatocellular Carcinoma after Resection" (2021) published in Liver Cancer
  • "Endoscopic Images by a Single-Shot Multibox Detector for the Identification of Early Cancerous Lesions in the Esophagus: A Pilot Study" (2021) published in Cancers
  • "Identification of the miRNA signature associated with survival in patients with ovarian cancer" (2021) published in Aging
  • "Artificial intelligence-driven pan-cancer analysis reveals miRNA signatures for cancer stage prediction" (2023) published in Human Genetics and Genomics Advances

The researcher collaborates regularly with several coauthors, including Srinivasulu Yerukala Sathipati, Ming-Ju Tsai, Sanjay K. Shukla, I-Cheng Lee, and Yi-Hsiang Huang. These collaborations have resulted in multiple joint publications across various biomedical fields.

They have frequently contributed to several publication venues such as:

  • Scientific Reports
  • Journal of Hepatology
  • Cancers
  • Cancer Imaging
  • SSRN Electronic Journal

Shinn-Ying Ho's main fields of study include Medicine and Biochemistry, Genetics and Molecular Biology. Their subfields of specialization cover Molecular Biology, Cancer Research, Radiology, Nuclear Medicine and Imaging, Hepatology, and Pulmonary and Respiratory Medicine.

Best Publications

  • Intelligent evolutionary algorithms for large parameter optimization problems

    Shinn-Ying Ho;Li-Sun Shu;Jian-Hung Chen

  • OPSO: Orthogonal Particle Swarm Optimization and Its Application to Task Assignment Problems

    Shinn-Ying Ho;Hung-Sui Lin;Weei-Hurng Liauh;Shinn-Jang Ho

  • Computational identification of ubiquitylation sites from protein sequences

    Chun Wei Tung;Shinn Ying Ho

  • iPTREE-STAB

    Liang-Tsung Huang;M. Michael Gromiha;Shinn-Ying Ho

  • NeurphologyJ: An automatic neuronal morphology quantification method and its application in pharmacological discovery

    Shinn-Ying Ho;Chih Yuan Chao;Hui Ling Huang;Tzai-Wen Chiu

  • Accurate modeling and prediction of surface roughness by computer vision in turning operations using an adaptive neuro-fuzzy inference system

    Shinn-Ying Ho;Kuang Chyi Lee;Shih Shin Chen;Shinn Jang Ho

  • SODOCK: swarm optimization for highly flexible protein-ligand docking.

    Hung Ming Chen;Bo Fu Liu;Hui Ling Huang;Shiow Fen Hwang

  • Predicting and analyzing DNA-binding domains using a systematic approach to identifying a set of informative physicochemical and biochemical properties

    Hui-Ling Huang;I-Che Lin;Yi-Fan Liou;Chia-Ta Tsai

  • POPI: predicting immunogenicity of MHC class I binding peptides by mining informative physicochemical properties.

    Chun Wei Tung;Shinn Ying Ho

  • ProLoc-GO: Utilizing informative Gene Ontology terms for sequence-based prediction of protein subcellular localization

    Wen Lin Huang;Chun Wei Tung;Shih Wen Ho;Shiow Fen Hwang

  • Design of an optimal nearest neighbor classifier using an intelligent genetic algorithm

    Shinn-Ying Ho;Chia-Cheng Liu;Soundy Liu

  • Prediction and analysis of protein solubility using a novel scoring card method with dipeptide composition

    Hui Ling Huang;Phasit Charoenkwan;Te Fen Kao;Hua Chin Lee

  • Design of accurate classifiers with a compact fuzzy-rule base using an evolutionary scatter partition of feature space

    Shinn-Ying Ho;Hung-Ming Chen;Shinn-Jang Ho;Tai-Kang Chen

  • Inheritable genetic algorithm for biobjective 0/1 combinatorial optimization problems and its applications

    Shinn-Ying Ho;Jian-Hung Chen;Meng-Hsun Huang

  • Accurate estimation of surface roughness from texture features of the surface image using an adaptive neuro-fuzzy inference system

    Kuang Chyi Lee;Shinn Jang Ho;Shinn-Ying Ho

  • sRNAMap: genomic maps for small non-coding RNAs, their regulators and their targets in microbial genomes

    Hsi Yuan Huang;Heng Yi Chang;Chih Hung Chou;Ching-Ping Tseng

  • Optimizing fuzzy neural networks for tuning PID controllers using an orthogonal simulated annealing algorithm OSA

    S.-J. Ho;Li-Sun Shu;Shinn-Ying Ho

  • A novel approach to production planning of flexible manufacturing systems using an efficient multi-objective genetic algorithm

    Jian Hung Chen;Shinn-Ying Ho

  • POPISK: T-cell reactivity prediction using support vector machines and string kernels

    Chun Wei Tung;Chun Wei Tung;Matthias Ziehm;Andreas Kämper;Oliver Kohlbacher

  • Co-expression analysis identifies long noncoding RNA SNHG1 as a novel predictor for event-free survival in neuroblastoma

    Divya Sahu;Chia-Lang Hsu;Chen-Ching Lin;Tz-Wen Yang

  • An Intelligent Two-Stage Evolutionary Algorithm for Dynamic Pathway Identification From Gene Expression Profiles

    Shinn-Ying Ho;Chih-Hung Hsieh;Fu-Chieh Yu;Hui-Ling Huang

  • Design of an optimal nearest neighbor classifier using an intelligent genetic algorithm

    Shinn-Ying Ho;Chia-Cheng Liu;Soundy Liu;Jun-Wen Jou

Frequent Co-Authors

Li-Wei Ko
Li-Wei Ko National Yang Ming Chiao Tung University
Hsien-Da Huang
Hsien-Da Huang Chinese University of Hong Kong, Shenzhen
Wang-Tso Lee
Wang-Tso Lee National Taiwan University
M. Michael Gromiha
M. Michael Gromiha Indian Institute of Technology Madras
Wen-Lian Hsu
Wen-Lian Hsu Academia Sinica
Chin-Teng Lin
Chin-Teng Lin University of Technology Sydney
Oliver Kohlbacher
Oliver Kohlbacher University of Tübingen
David E. Goldberg
David E. Goldberg University of Illinois at Urbana-Champaign

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