Kuo‐Chen Chou

43.7k citations

367 papers · 37.2k indexed · 12 hit papers · h-index 114

Impact in

Molecular Biology top 0.02%
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- Protein Structure and Dynamics
- vaccines and immunoinformatics approaches
- Biochemical and Structural Characterization
- RNA modifications and cancer
Computational Theory and Mathematics top 0.02%
- Computational Drug Discovery Methods

Papers in

Molecular Biology 330
- Machine Learning in Bioinformatics 252
- RNA and protein synthesis mechanisms 162
- Genomics and Phylogenetic Studies 137
- Protein Structure and Dynamics 66
- vaccines and immunoinformatics approaches 21
- Biochemical and Structural Characterization 16
Computational Theory and Mathematics 59
- Computational Drug Discovery Methods 58

Co-authors: Xuan Xiao Hong‐Bin Shen Hao Lin Wei Chen Pengmian Feng Yu‐Dong Cai Bin Liu Xiang Cheng
Journals: Bioinformatics (26 papers)PLoS ONE (23 papers)Analytical Biochemistry (16 papers)Journal of Theoretical Biology (16 papers)Oncotarget (13 papers)
Partner nations: United States China Saudi Arabia

In The Last Decade

Kuo‐Chen Chou

363 papers receiving 36.6k citations

Hit Papers

12 papers align trajectories log scale

iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data 2019 · 323 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2019 Briefings in Bioinformatics
2018 Bioinformatics
2016 Oncotarget
2015 Nucleic Acids Research
2015 Medicinal Chemistry
2014 Nucleic Acids Research
2013 Nucleic Acids Research
2013 Molecular BioSystems
2010 PLoS ONE
2004 Current Medicinal Chemistry
2004 Bioinformatics
2001 Proteins Structure Function and Bioinformatics

Peers

Countries citing papers authored by Kuo‐Chen Chou

Since Specialization

Citations

This map shows the geographic impact of Kuo‐Chen Chou's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kuo‐Chen Chou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuo‐Chen Chou more than expected).

Fields of papers citing papers by Kuo‐Chen Chou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuo‐Chen Chou. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kuo‐Chen Chou. The network helps show where Kuo‐Chen Chou may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Kuo‐Chen Chou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kuo‐Chen Chou Line = papers co-authored together Kuo‐Chen Chou links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	Using CHOU'S 5-Steps Rule to Predict O-Linked Serine Glycosylation Sites by Blending Position Relative Features and Statistical Moment IEEE/ACM Transactions on Computational Biology and Bioinformatics ·Kateryna Stadnik, Waqar Hussain, Nouman Rasool, Yaser Daanial Khan, Sher Afzal Khan, Kuo‐Chen Chou	2020	36
2	SPrenylC-PseAAC: A sequence-based model developed via Chou's 5-steps rule and general PseAAC for identifying S-prenylation sites in proteins Journal of Theoretical Biology ·Waqar Hussain, Yaser Daanial Khan, Nouman Rasool, Sher Afzal Khan, Kuo‐Chen Chou	2019	109
3	iPhosH-PseAAC: Identify Phosphohistidine Sites in Proteins by Blending Statistical Moments and Position Relative Features According to the Chou's 5-Step Rule and General Pseudo Amino Acid Composition IEEE/ACM Transactions on Computational Biology and Bioinformatics ·YannOuch YannOuch, Waqar Hussain, Yaser Daanial Khan, Nouman Rasool, Sher Afzal Khan, Kuo‐Chen Chou	2019	79
4	iRNA-3typeA: Identifying Three Types of Modification at RNA’s Adenosine Sites Molecular Therapy — Nucleic Acids ·Wei Chen, Pengmian Feng, Hui Yang, Hui Ding, Hao Lin, Kuo‐Chen Chou	2018	161
5	SPalmitoylC-PseAAC: A sequence-based model developed via Chou's 5-steps rule and general PseAAC for identifying S-palmitoylation sites in proteins Analytical Biochemistry ·Waqar Hussain, Yaser Daanial Khan, Nouman Rasool, Sher Afzal Khan, Kuo‐Chen Chou	2018	100
6	pSSbond-PseAAC: Prediction of disulfide bonding sites by integration of PseAAC and statistical moments Journal of Theoretical Biology ·Yaser Daanial Khan, James Cleland, Waqar Hussain, Nouman Rasool, Sher Afzal Khan, Kuo‐Chen Chou	2018	65
7	iPhosT-PseAAC: Identify phosphothreonine sites by incorporating sequence statistical moments into PseAAC Analytical Biochemistry ·Yaser Daanial Khan, Nouman Rasool, Waqar Hussain, Sher Afzal Khan, Kuo‐Chen Chou	2018	103
8	pLoc-mPlant: predict subcellular localization of multi-location plant proteins by incorporating the optimal GO information into general PseAAC Molecular BioSystems ·Xiang Cheng, Xuan Xiao, Kuo‐Chen Chou	2017	169
9	pLoc-mGpos: Incorporate Key Gene Ontology Information into General PseAAC for Predicting Subcellular Localization of Gram-Positive Bacterial Proteins Natural Science ·Xuan Xiao, Xiang Cheng, Shengchao Su, Faisal Al-Amier, Kuo‐Chen Chou	2017	124
10	Pse-in-One 2.0: An Improved Package of Web Servers for Generating Various Modes of Pseudo Components of DNA, RNA, and Protein Sequences Natural Science ·Bin Liu, Hao Wu, Kuo‐Chen Chou	2017	221
11	Pseudo nucleotide composition or PseKNC: an effective formulation for analyzing genomic sequences Molecular BioSystems ·Wei Chen, Hao Lin, Kuo‐Chen Chou	2015	278
12	Research/Review: Insights into the Mutation-Induced Dysfunction of Arachidonic Acid Metabolism from Modeling of Human CYP2J2 Current Drug Metabolism ·Xiaole Xia, 张梅光, Shan Cong, Jingfang Wang, Kuo‐Chen Chou	2014	12
13	iLoc-Animal: a multi-label learning classifier for predicting subcellular localization of animal proteins Molecular BioSystems ·Wei‐Zhong Lin, Jian‐an Fang, Xuan Xiao, Kuo‐Chen Chou	2013	225
14	Some remarks on predicting multi-label attributes in molecular biosystems Molecular BioSystems ·Kuo‐Chen Chou Hit paper breakdown →	2013	379
15	Hepatitis C Virus Network Based Classification of Hepatocellular Cirrhosis and Carcinoma PLoS ONE ·Tao Huang, Junjie Wang, Yu‐Dong Cai, Hanry Yu, Kuo‐Chen Chou	2012	50
16	iLoc-Hum: using the accumulation-label scale to predict subcellular locations of human proteins with both single and multiple sites Molecular BioSystems ·Kuo‐Chen Chou, Zhicheng Wu, Xuan Xiao	2011	312
17	Cell-PLoc 2.0: an improved package of web-servers for predicting subcellular localization of proteins in various organisms Natural Science ·Kuo‐Chen Chou, Hong‐Bin Shen	2010	293
18	REVIEW : Recent advances in developing web-servers for predicting protein attributes Natural Science ·Kuo‐Chen Chou, Hong‐Bin Shen	2009	444
19	Molecular Modeling Studies on NADP-Dependence of Candida Tropicalis Strain Xylose Reductase Jingfang Wang, Dong‐Qing Wei, Hongli Du, Yixue Li, Kuo‐Chen Chou	2008	7
20	An in-depth analysis of the biological functional studies based on the NMR M2 channel structure of influenza A virus Biochemical and Biophysical Research Communications ·Huang Ri-bo, Qi-Shi Du, Chenghua Wang, Kuo‐Chen Chou	2008	84

About Kuo‐Chen Chou

Kuo‐Chen Chou is a scholar working on Molecular Biology, Computational Theory and Mathematics, Virology, Spectroscopy and Microbiology, having authored 367 papers that have together received 37.2k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (252 papers), RNA and protein synthesis mechanisms (162 papers), Genomics and Phylogenetic Studies (137 papers), Protein Structure and Dynamics (66 papers), Computational Drug Discovery Methods (58 papers), vaccines and immunoinformatics approaches (21 papers), Enzyme Structure and Function (20 papers) and Biochemical and Structural Characterization (16 papers). The work is most often cited by research in Molecular Biology (34.3k citations), Computational Theory and Mathematics (5.4k citations), Microbiology (1.2k citations), Cancer Research (1.3k citations) and Virology (252 citations). Kuo‐Chen Chou has collaborated with scholars based in United States, China and Saudi Arabia. Frequent co-authors include Xuan Xiao, Hong‐Bin Shen, Hao Lin, Wei Chen, Pengmian Feng, Yu‐Dong Cai, Bin Liu, Xiang Cheng, Hui Ding and Wang‐Ren Qiu. Their work appears in journals such as Bioinformatics, PLoS ONE, Analytical Biochemistry, Journal of Theoretical Biology and Oncotarget.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact