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Kuo‐Chen Chou

Active 1982–2022

Also published as
Kuo-Chen Chou · Kuo Chen Chou
376
Papers
66,569
Citations
153
h-index
375
i10-index

Citations

Citations per year for Kuo‐Chen Chou1966: 4 citations1971: 3 citations1975: 59 citations1983: 3 citations1984: 47 citations1985: 9 citations1986: 3 citations1987: 8 citations1988: 12 citations1989: 10 citations1990: 14 citations1991: 9 citations1992: 12 citations1993: 20 citations1994: 20 citations1995: 34 citations1996: 19 citations1997: 18 citations1998: 31 citations1999: 38 citations2000: 57 citations2001: 75 citations2002: 78 citations2003: 180 citations2004: 299 citations2005: 562 citations2006: 693 citations2007: 853 citations2008: 884 citations2009: 1,008 citations2010: 941 citations2011: 1,085 citations2012: 782 citations2013: 1,251 citations2014: 1,336 citations2015: 1,784 citations2016: 2,120 citations2017: 2,298 citations2018: 3,525 citations2019: 5,343 citations2020: 2,744 citations2021: 1,877 citations2022: 1,379 citations2023: 980 citations2024: 1,080 citations2025: 506 citations2026: 87 citations1967–1970: no citations, so these years are not shown1972–1974: no citations, so these years are not shown1976–1982: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 3,445 citing papers, 32.4% of this breakdownUnited States: 1,591 citing papers, 15% of this breakdownIndia: 556 citing papers, 5.2% of this breakdownUnited Kingdom: 387 citing papers, 3.7% of this breakdownAustralia: 312 citing papers, 2.9% of this breakdownPakistan: 311 citing papers, 2.9% of this breakdownSouth Korea: 285 citing papers, 2.7% of this breakdownSaudi Arabia: 267 citing papers, 2.5% of this breakdownGermany: 244 citing papers, 2.3% of this breakdownJapan: 231 citing papers, 2.2% of this breakdownCanada: 212 citing papers, 2% of this breakdownTaiwan: 174 citing papers, 1.6% of this breakdown
0%32.4%Other 24.6%

Institutions

Fields

  • Biochemistry, Genetics and Molecular Biology64.9%
  • Computer Science12.9%
  • Medicine6.5%
  • Agricultural and Biological Sciences4.3%
  • Immunology and Microbiology4.3%
  • Chemistry1.3%
  • Other5.8%

Topics

  • Machine Learning in Bioinformatics17.4%
  • RNA and protein synthesis mechanisms8%
  • Computational Drug Discovery Methods6.5%
  • Genomics and Phylogenetic Studies6.4%
  • Protein Structure and Dynamics5.3%
  • vaccines and immunoinformatics approaches3.3%
  • Other53.1%

Coauthors

All papers

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  1. iFeature: a Python package and web server for features extraction and selection from protein and peptide sequences

    Authors: Zhen Chen, Pei Zhao, Fuyi Li, André Leier, Tatiana T. Marquez-Lago, Yanan Wang, Geoffrey I. Webb, Alexander Ian Smith, Roger J. Daly, Kuo-Chen Chou, Jiangning Song - Bioinformatics, Bioinform. 2018 cited by 694

  2. Prediction of protein cellular attributes using pseudo‐amino acid composition

    Authors: Kuo‐Chen Chou - Proteins Structure Function and Bioinformatics 2001 cited by 1,967

  3. Plant-mPLoc: A Top-Down Strategy to Augment the Power for Predicting Plant Protein Subcellular Localization

    Authors: Kuo‐Chen Chou, Hong‐Bin Shen - PLoS ONE 2010 cited by 1,223

  4. iAMP-2L: A two-level multi-label classifier for identifying antimicrobial peptides and their functional types

    Authors: Xuan Xiao, Pu Wang, Wei‐Zhong Lin, Jianhua Jia, Kuo‐Chen Chou - Analytical Biochemistry 2013 cited by 555

  5. iLearn : an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data

    Authors: Zhen Chen, Pei Zhao, Fuyi Li, Tatiana T. Marquez-Lago, André Leier, Jerico Nico De Leon Revote, Yan Zhu, David R. Powell, Tatsuya Akutsu, Geoffrey I. Webb, Kuo-Chen Chou, Alexander Ian Smith, Roger J. Daly, Jian Li, Jiangning Song - Briefings in Bioinformatics, Briefings Bioinform. 2019 cited by 437

  6. Using amphiphilic pseudo amino acid composition to predict enzyme subfamily classes

    Authors: Kuo-Chen Chou - Bioinformatics, Bioinform. 2004 cited by 1,028

  7. Cell-PLoc: a package of Web servers for predicting subcellular localization of proteins in various organisms

    Authors: Kuo‐Chen Chou, Hong‐Bin Shen - Nature Protocols 2008 cited by 1,229

  8. iACP: a sequence-based tool for identifying anticancer peptides

    Authors: Wei Chen, Hui Ding, Pengmian Feng, Hao Lin, Kuo‐Chen Chou - Oncotarget 2016 cited by 436

  9. Prediction of Protein Subcellular Locations by Incorporating Quasi-Sequence-Order Effect

    Authors: Kuo‐Chen Chou - Biochemical and Biophysical Research Communications 2000 cited by 369

  10. POSSUM: a bioinformatics toolkit for generating numerical sequence feature descriptors based on PSSM profiles

    Authors: Jiawei Wang, Bingjiao Yang, Jerico Nico De Leon Revote, André Leier, Tatiana T. Marquez-Lago, Geoffrey I. Webb, Jiangning Song, Kuo-Chen Chou, Trevor Lithgow - Bioinformatics, Bioinform. 2017 cited by 208

  11. PseAAC: A flexible web server for generating various kinds of protein pseudo amino acid composition

    Authors: Hong‐Bin Shen, Kuo‐Chen Chou - Analytical Biochemistry 2007 cited by 436

  12. Pseudo Amino Acid Composition and its Applications in Bioinformatics, Proteomics and System Biology

    Authors: Kuo‐Chen Chou - Current Proteomics 2009 cited by 479

  13. Pse-in-One: a web server for generating various modes of pseudo components of DNA, RNA, and protein sequences

    Authors: Bin Liu, Fule Liu, Xiaolong Wang, Junjie Chen, Longyun Fang, Kuo-Chen Chou - Nucleic Acids Research, Nucleic Acids Res. 2015 cited by 736

  14. Some remarks on protein attribute prediction and pseudo amino acid composition

    Authors: Kuo‐Chen Chou - Journal of Theoretical Biology 2010 cited by 1,247

  15. iEnhancer-2L: a two-layer predictor for identifying enhancers and their strength by pseudo k-tuple nucleotide composition

    Authors: Bin Liu, Longyun Fang, Ren Long, Xun Lan, Kuo-Chen Chou - Bioinformatics, Bioinform. 2015 cited by 370

  16. iPromoter-2L: a two-layer predictor for identifying promoters and their types by multi-window-based PseKNC

    Authors: Bin Liu, Fan Yang, De-Shuang Huang, Kuo-Chen Chou - Bioinformatics, Bioinform. 2017 cited by 343

  17. iLoc-lncRNA: predict the subcellular location of lncRNAs by incorporating octamer composition into general PseKNC

    Authors: Zhen-Dong Su, Yan Huang, Zhao-Yue Zhang, Ya-Wei Zhao, Dong Wang, Wei Chen, Kuo-Chen Chou, Hao Lin - Bioinformatics, Bioinform. 2018 cited by 304

  18. iEnhancer-EL: identifying enhancers and their strength with ensemble learning approach

    Authors: Bin Liu, Kai Li, De-Shuang Huang, Kuo-Chen Chou - Bioinformatics, Bioinform. 2018 cited by 221

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

    Authors: Hao Lin, En-Ze Deng, Hui Ding, Wei Chen, Kuo‐Chen Chou - Nucleic Acids Research 2014 cited by 512

  20. iRNA-Methyl: Identifying N6-methyladenosine sites using pseudo nucleotide composition

    Authors: Wei Chen, Pengmian Feng, Hui Ding, Hao Lin, Kuo‐Chen Chou - Analytical Biochemistry 2015 cited by 352

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

    Authors: Wei Chen, Hui Ding, Xu Zhou, Hao Lin, Kuo‐Chen Chou - Analytical Biochemistry 2018 cited by 205

  22. Prediction of Antimicrobial Peptides Based on Sequence Alignment and Feature Selection Methods

    Authors: Ping Wang, Le‐Le Hu, Guiyou Liu, Nan Jiang, Xiaoyun Chen, Jianyong Xu, Wen Zheng, Li Li, Ming Tan, Zugen Chen, Hui Song, Yu‐Dong Cai, Kuo‐Chen Chou - PLoS ONE 2011 cited by 203

  23. repDNA: a Python package to generate various modes of feature vectors for DNA sequences by incorporating user-defined physicochemical properties and sequence-order effects

    Authors: Bin Liu, Fule Liu, Longyun Fang, Xiaolong Wang, Kuo-Chen Chou - Bioinformatics, Bioinform. 2014 cited by 282

  24. iPSW(2L)-PseKNC: A two-layer predictor for identifying promoters and their strength by hybrid features via pseudo K-tuple nucleotide composition

    Authors: Xuan Xiao, Zhaochun Xu, Wang‐Ren Qiu, Peng Wang, Hui‐Ting Ge, Kuo‐Chen Chou - Genomics 2018 cited by 101