World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
8978
World Ranking
4907
National Ranking
659

Overview

Hui Ding is affiliated with the University of Electronic Science and Technology of China. Their research primarily focuses on biochemistry, genetics, and molecular biology, with a notable emphasis on molecular biology. The scientist's work intersects with subfields such as cancer research, genetics, materials chemistry, and infectious diseases.

The main topics in Hui Ding's research include:

  • Machine Learning in Bioinformatics
  • Genomics and Phylogenetic Studies
  • RNA and protein synthesis mechanisms
  • MicroRNA in disease regulation
  • RNA modifications and cancer
  • Circular RNAs in diseases
  • Cancer-related molecular mechanisms research

Frequent coauthors in their research collaborations include:

  • Fanny Dao
  • Hui Yang
  • Wei Su
  • Hao Lin
  • Hao Lv

Hui Ding has published extensively in the following venues:

  • Briefings in Bioinformatics
  • IEEE Access
  • Frontiers in Genetics
  • Frontiers in Medicine
  • Frontiers in Bioengineering and Biotechnology

Recent notable papers include:

  • "Design powerful predictor for mRNA subcellular location prediction in Homo sapiens," 2020, Briefings in Bioinformatics
  • "iDNA-MS: An Integrated Computational Tool for Detecting DNA Modification Sites in Multiple Genomes," 2020, iScience
  • "Accurately identifying hemagglutinin using sequence information and machine learning methods," 2023, Frontiers in Medicine
  • "TiO2 supported single Ag atoms nanozyme for elimination of SARS-CoV2," 2021, Nano Today
  • "Application of artificial intelligence and machine learning for COVID-19 drug discovery and vaccine design," 2021, Briefings in Bioinformatics

Best Publications

  • Metallic nickel nitride nanosheets realizing enhanced electrochemical water oxidation.

    Kun Xu;Pengzuo Chen;Xiuling Li;Yun Tong

  • Metallic Co4N Porous Nanowire Arrays Activated by Surface Oxidation as Electrocatalysts for the Oxygen Evolution Reaction

    Pengzuo Chen;Kun Xu;Zhiwei Fang;Yun Tong

  • Structural Transformation of Heterogeneous Materials for Electrocatalytic Oxygen Evolution Reaction.

    Hui Ding;Hongfei Liu;Wangsheng Chu;Changzheng Wu

  • iPro54-PseKNC: a sequence-based predictor for identifying sigma-54 promoters in prokaryote with pseudo k-tuple nucleotide composition.

    Hao Lin;En-Ze Deng;Hui Ding;Wei Chen

  • iNuc-PseKNC: a sequence-based predictor for predicting nucleosome positioning in genomes with pseudo k-tuple nucleotide composition

    Shou-Hui Guo;En-Ze Deng;Li-Qin Xu;Hui Ding

  • iACP: a sequence-based tool for identifying anticancer peptides

    Wei Chen;Hui Ding;Pengmian Feng;Hao Lin

  • iRNA-Methyl: Identifying N(6)-methyladenosine sites using pseudo nucleotide composition.

    Wei Chen;Pengmian Feng;Hui Ding;Hao Lin

  • Phase-Transformation Engineering in Cobalt Diselenide Realizing Enhanced Catalytic Activity for Hydrogen Evolution in an Alkaline Medium.

    Pengzuo Chen;Kun Xu;Shi Tao;Tianpei Zhou

  • iDNA6mA-PseKNC: Identifying DNA N6-methyladenosine sites by incorporating nucleotide physicochemical properties into PseKNC.

    Pengmian Feng;Hui Yang;Hui Ding;Hao Lin

  • iRNA-PseColl: Identifying the Occurrence Sites of Different RNA Modifications by Incorporating Collective Effects of Nucleotides into PseKNC.

    Pengmian Feng;Hui Ding;Hui Yang;Wei Chen

  • iDNA4mC: identifying DNA N4-methylcytosine sites based on nucleotide chemical properties.

    Wei Chen;Hui Yang;Pengmian Feng;Hui Ding

  • Predicting Subcellular Localization of Mycobacterial Proteins by Using Chous Pseudo Amino Acid Composition

    Hao Lin;Hui Ding;Feng-Biao Guo;An-Ying Zhang

  • iCTX-type: a sequence-based predictor for identifying the types of conotoxins in targeting ion channels.

    Hui Ding;En-Ze Deng;Lu-Feng Yuan;Li Liu

  • Prediction of Cell Wall Lytic Enzymes Using Chous Amphiphilic Pseudo Amino Acid Composition

    Hui Ding;Liaofu Luo;Hao Lin

  • iRNA(m6A)-PseDNC: Identifying N6-methyladenosine sites using pseudo dinucleotide composition.

    Wei Chen;Wei Chen;Hui Ding;Xu Zhou;Hao Lin

  • iRNA-3typeA: Identifying Three Types of Modification at RNA's Adenosine Sites.

    Wei Chen;Wei Chen;Pengmian Feng;Hui Yang;Hui Ding

  • iRNA-AI: identifying the adenosine to inosine editing sites in RNA sequences.

    Wei Chen;Pengmian Feng;Hui Yang;Hui Ding

  • Identify origin of replication in Saccharomyces cerevisiae using two-step feature selection technique

    Fu-Ying Dao;Hao Lv;Fang Wang;Chao-Qin Feng

  • iProEP: A Computational Predictor for Predicting Promoter.

    Hong-Yan Lai;Zhao-Yue Zhang;Zhen-Dong Su;Wei Su

  • Identification of bacteriophage virion proteins by the ANOVA feature selection and analysis

    Hui Ding;Peng-Mian Feng;Wei Chen;Hao Lin

  • Understanding Structure-Dependent Catalytic Performance of Nickel Selenides for Electrochemical Water Oxidation

    Kun Xu;Hui Ding;Haifeng Lv;Shi Tao

  • iRNA-2OM: A Sequence-Based Predictor for Identifying 2'-O-Methylation Sites in Homo sapiens.

    Hui Yang;Hao Lv;Hui Ding;Wei Chen;Wei Chen

  • Naïve Bayes Classifier with Feature Selection to Identify Phage Virion Proteins

    Peng-Mian Feng;Hui Ding;Wei Chen;Hao Lin

  • Predicting the subcellular localization of mycobacterial proteins by incorporating the optimal tripeptides into the general form of pseudo amino acid composition

    Pan-Pan Zhu;Wen-Chao Li;Zhe-Jin Zhong;En-Ze Deng

  • Predicting ion channels and their types by the dipeptide mode of pseudo amino acid composition.

    Hao Lin;Hui Ding

  • Identification of Secretory Proteins in Mycobacterium tuberculosis Using Pseudo Amino Acid Composition.

    Huan Yang;Hua Tang;Xin-Xin Chen;Chang-Jian Zhang

  • Design powerful predictor for mRNA subcellular location prediction in Homo sapiens.

    Zhao-Yue Zhang;Yu-He Yang;Hui Ding;Dong Wang

  • Identification of Bacterial Cell Wall Lyases via Pseudo Amino Acid Composition

    Xin-Xin Chen;Hua Tang;Wen-Chao Li;Hao Wu

Frequent Co-Authors

Hao Lin
Hao Lin University of Electronic Science and Technology of China
Wei Chen
Wei Chen Chengdu University of Traditional Chinese Medicine
Yi Xie
Yi Xie University of Science and Technology of China
Changzheng Wu
Changzheng Wu University of Science and Technology of China
Kuo-Chen Chou
Kuo-Chen Chou The Gordon Life Science Institute
Xiaojun Wu
Xiaojun Wu University of Science and Technology of China
Joseph Molnár
Joseph Molnár University of Szeged
Quan Zou
Quan Zou University of Electronic Science and Technology of China
Xiaolong Wang
Xiaolong Wang University of California, San Diego

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