Hui Ding

9.5k citations

131 papers · 8.4k · 1 hit paper · h-index 52

Impact in

Molecular Biology top 0.5%
- Machine Learning in Bioinformatics
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- Genomics and Phylogenetic Studies
- Fractal and DNA sequence analysis
Microbiology top 1%
- Antimicrobial Peptides and Activities

Papers in

Molecular Biology 98
- Machine Learning in Bioinformatics 76
- RNA modifications and cancer 17
- Genomics and Chromatin Dynamics 6
- vaccines and immunoinformatics approaches 5
- Genomics and Phylogenetic Studies 5
- Fractal and DNA sequence analysis 4
Cancer Research 13
- MicroRNA in disease regulation 12

Co-authors: Hao Lin (56 shared papers)Wei Chen (47 shared papers)Pengmian Feng (21 shared papers)Kuo‐Chen Chou (11 shared papers)Hui Qiong Yang (15 shared papers)En-Ze Deng (7 shared papers)Hao Lv (12 shared papers)Jian Hua Huang (13 shared papers)
Journals: Briefings in Bioinformatics (7 papers)Molecular Therapy — Nucleic Acids (5 papers)Scientific Reports (5 papers)IEEE Access (4 papers)Chemometrics and Intelligent Laboratory Systems (4 papers)
Partner nations: China United States Saudi Arabia

In The Last Decade

Hui Ding

129 papers receiving 8.3k citations

Hui Ding's Hit Papers

align trajectories log scale

iACP: a sequence-based tool for identifying anticancer peptides 2016 · 399 citations

What are hit papers?

Paper score: A paper's citations measured against the top-1% bar of its own field and year: the square root of citations ÷ bar, so 1 means right at the bar and 2 means four times its citations. The bar blends the citation counts that enter the top 1% of the paper's subfields in its year (weighted 89.5%), of those subfields over all years (0.5%) and of its year across all fields (10%); a subfield and year with fewer than 400 papers takes its year's bar. Papers from 2026 are not scored yet: in an unfinished year, when a paper appeared matters more than how it is cited.

Hit paper: A paper cited at least 1.5× the top-1% bar of its field and year: a paper score of at least √1.5.

2016 Oncotarget

Peers

Countries citing papers authored by Hui Ding

Since Specialization

Citations

This map shows the geographic impact of Hui Ding'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 Hui Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Ding more than expected).

Fields of papers citing papers by Hui Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hui Ding. 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 Hui Ding. The network helps show where Hui Ding may publish in the future.

Co-authors

The 25 scholars most cited alongside Hui Ding, 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 Hui Ding Line = papers co-authored together Hui Ding links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	iPro54-PseKNC: a sequence-based predictor for identifying sigma-54 promoters in prokaryote with pseudo k-tuple nucleotide composition Nucleic Acids Research ·Hao Lin, En-Ze Deng, Hui Ding, Wei Chen, Kuo‐Chen Chou	2014	475
2	iACP: a sequence-based tool for identifying anticancer peptides Oncotarget ·Wei Chen, Hui Ding, Pengmian Feng, Hao Lin, Kuo‐Chen Chou Hit paper breakdown →	2016	399
3	iNuc-PseKNC: a sequence-based predictor for predicting nucleosome positioning in genomes with pseudo k-tuple nucleotide composition Bioinformatics ·Shou-Hui Guo, En-Ze Deng, Liqin Xu, Hui Ding, Hao Lin, Wei Chen, Kuo‐Chen Chou	2014	341
4	iRNA-Methyl: Identifying N6-methyladenosine sites using pseudo nucleotide composition Analytical Biochemistry ·Wei Chen, Pengmian Feng, Hui Ding, Hao Lin, Kuo‐Chen Chou	2015	321
5	iRNA-PseColl: Identifying the Occurrence Sites of Different RNA Modifications by Incorporating Collective Effects of Nucleotides into PseKNC Molecular Therapy — Nucleic Acids ·Pengmian Feng, Hui Ding, Hui Qiong Yang, Wei Chen, Hao Lin, Kuo‐Chen Chou	2017	269
6	iDNA6mA-PseKNC: Identifying DNA N6-methyladenosine sites by incorporating nucleotide physicochemical properties into PseKNC Genomics ·Pengmian Feng, Hui Qiong Yang, Hui Ding, Hao Lin, Wei Chen, Kuo‐Chen Chou	2018	269
7	iDNA4mC: identifying DNA N4-methylcytosine sites based on nucleotide chemical properties Bioinformatics ·Wei Chen, Hui Qiong Yang, Pengmian Feng, Hui Ding, Hao Lin	2017	257
8	iCTX-Type: A Sequence-Based Predictor for Identifying the Types of Conotoxins in Targeting Ion Channels BioMed Research International ·Hui Ding, En-Ze Deng, Lufeng Yuan, Li Liu, Wei Chen, Kuo‐Chen Chou +1 other	2014	212
9	iRNA-AI: identifying the adenosine to inosine editing sites in RNA sequences Oncotarget ·Wei Chen, Pengmian Feng, Hui Qiong Yang, Hui Ding, Hao Lin, Kuo‐Chen Chou	2016	210
10	Identify origin of replication in Saccharomyces cerevisiae using two-step feature selection technique Bioinformatics ·Fanny Dao, Hao Lv, Fang Wang, Chao-Qin Feng, Hui Ding, Wei Chen, Hao Lin	2018	182
11	iRNA(m6A)-PseDNC: Identifying N6-methyladenosine sites using pseudo dinucleotide composition Analytical Biochemistry ·Wei Chen, Hui Ding, Xu Zhou, Hao Lin, Kuo‐Chen Chou	2018	175
12	iRNA-3typeA: Identifying Three Types of Modification at RNA’s Adenosine Sites Molecular Therapy — Nucleic Acids ·Wei Chen, Pengmian Feng, Hui Qiong Yang, Hui Ding, Hao Lin, Kuo‐Chen Chou	2018	170
13	Identification of bacteriophage virion proteins by the ANOVA feature selection and analysis Molecular BioSystems ·Hui Ding, Pengmian Feng, Wei Chen, Hao Lin	2014	169
14	Naïve Bayes Classifier with Feature Selection to Identify Phage Virion Proteins Computational and Mathematical Methods in Medicine ·Pengmian Feng, Hui Ding, Wei Chen, Hao Lin	2013	150
15	iRNA-2OM: A Sequence-Based Predictor for Identifying 2′-O-Methylation Sites in Homo sapiens Journal of Computational Biology ·Hui Qiong Yang, Hao Lv, Hui Ding, Wei Chen, Hao Lin	2018	142
16	Prediction of Cell Wall Lytic Enzymes Using Chous Amphiphilic Pseudo Amino Acid Composition Protein and Peptide Letters ·Hui Ding, Liaofu Luo, Hao Lin	2009	141
17	iProEP: A Computational Predictor for Predicting Promoter Molecular Therapy — Nucleic Acids ·Hong-Yan Lai, Zhao‐Yue Zhang, Wei Su, Hui Ding, Wei Chen, Hao Lin +1 other	2019	141
18	Predicting ion channels and their types by the dipeptide mode of pseudo amino acid composition Journal of Theoretical Biology ·Hao Lin, Hui Ding	2010	137
19	Identification of Bacterial Cell Wall Lyases via Pseudo Amino Acid Composition BioMed Research International ·Hua Tang, Wenchao Li, Hao Wu, Wei Chen, Hui Ding, Hao Lin +1 other	2016	120
20	Identification of Secretory Proteins inMycobacterium tuberculosisUsing Pseudo Amino Acid Composition BioMed Research International ·Huan Yang, Hua Tang, Chang-Jian Zhang, Hui Ding, Wei Chen, Hao Lin +2 others	2016	120

About Hui Ding

Hui Ding is a scholar working on Molecular Biology, Cancer Research, Computational Theory and Mathematics, Microbiology and Genetics, having authored 131 papers that have together received 8.4k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (76 papers), RNA modifications and cancer (17 papers), MicroRNA in disease regulation (12 papers), Computational Drug Discovery Methods (6 papers), Genomics and Chromatin Dynamics (6 papers), vaccines and immunoinformatics approaches (5 papers), Genomics and Phylogenetic Studies (5 papers) and Fractal and DNA sequence analysis (4 papers). The work is most often cited by research in Molecular Biology (6.9k citations), Microbiology (320 citations), Computational Theory and Mathematics (626 citations), Cancer Research (285 citations) and Health Informatics (26 citations). Hui Ding has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Hao Lin, Wei Chen, Pengmian Feng, Kuo‐Chen Chou, Hui Qiong Yang, En-Ze Deng, Hao Lv, Jian Hua Huang, Fanny Dao and Quan Zou. Their work appears in journals such as Briefings in Bioinformatics, Molecular Therapy — Nucleic Acids, Scientific Reports, IEEE Access and Chemometrics and Intelligent Laboratory Systems.

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.

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Hui Ding's Hit Papers

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All Works

About Hui Ding

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