Hao Lin

20.2k citations

301 papers · 17.4k · 4 hit papers · h-index 76

Impact in

Molecular Biology top 0.1%
- Machine Learning in Bioinformatics
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- Genomics and Phylogenetic Studies
- Epigenetics and DNA Methylation
- Fractal and DNA sequence analysis
- Protein Structure and Dynamics
Microbiology top 0.5%

Papers in

Molecular Biology 217
- Machine Learning in Bioinformatics 135
- Genomics and Chromatin Dynamics 29
- RNA modifications and cancer 22
- Genomics and Phylogenetic Studies 22
- Fractal and DNA sequence analysis 17
- Epigenetics and DNA Methylation 12
Computational Theory and Mathematics 16
- Computational Drug Discovery Methods 15

Co-authors: Wei Chen (101 shared papers)Hui Ding (56 shared papers)Kuo‐Chen Chou (21 shared papers)Pengmian Feng (37 shared papers)Hua Tang (32 shared papers)Hui Qiong Yang (23 shared papers)Hao Lv (42 shared papers)En-Ze Deng (9 shared papers)
Journals: Briefings in Bioinformatics (18 papers)Bioinformatics (13 papers)International Journal of Molecular Sciences (10 papers)Molecular Therapy — Nucleic Acids (8 papers)Scientific Reports (7 papers)
Partner nations: China United States Singapore

In The Last Decade

Hao Lin

291 papers receiving 17.2k citations

Hao Lin's Hit Papers

align trajectories log scale

Deep-STP: a deep learning-based approach to predict snake toxin proteins by using word embeddings 2024 · 103 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.

2024 Frontiers in Medicine
2023 Briefings in Bioinformatics
2016 Oncotarget
2013 Nucleic Acids Research

Peers

Countries citing papers authored by Hao Lin

Since Specialization

Citations

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

Fields of papers citing papers by Hao Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hao Lin, 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 Hao Lin Line = papers co-authored together Hao Lin 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 301 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	iRSpot-PseDNC: identify recombination spots with pseudo dinucleotide composition Nucleic Acids Research ·Wei Chen, Pengmian Feng, Hao Lin, Kuo‐Chen Chou Hit paper breakdown →	2013	572
2	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
3	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
4	PseKNC: A flexible web server for generating pseudo K-tuple nucleotide composition Analytical Biochemistry ·Wei Chen, Tianyu Lei, Dianchuan Jin, Hao Lin, Kuo‐Chen Chou	2014	383
5	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
6	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
7	Pseudo nucleotide composition or PseKNC: an effective formulation for analyzing genomic sequences Molecular BioSystems ·Wei Chen, Hao Lin, Kuo‐Chen Chou	2015	282
8	iHSP-PseRAAAC: Identifying the heat shock protein families using pseudo reduced amino acid alphabet composition Analytical Biochemistry ·Pengmian Feng, Wei Chen, Hao Lin, Kuo‐Chen Chou	2013	277
9	iRNA-PseU: Identifying RNA pseudouridine sites Molecular Therapy — Nucleic Acids ·Wei Chen, Hua Tang, Jing Ye, Hao Lin, Kuo‐Chen Chou	2016	269
10	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
11	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
12	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
13	Attention is all you need: utilizing attention in AI-enabled drug discovery Briefings in Bioinformatics ·Yang Zhang, Caiqi Liu, Mujiexin Liu, Tianyuan Liu, Hao Lin, Huang Cheng-bing, Ning Lin Hit paper breakdown →	2023	252
14	iLoc-lncRNA: predict the subcellular location of lncRNAs by incorporating octamer composition into general PseKNC Bioinformatics ·Yan Huang, Zhao‐Yue Zhang, Ya-Wei Zhao, Dong Wang, Wei Chen, Kuo‐Chen Chou, Hao Lin +1 other	2018	249
15	iTIS-PseTNC: A sequence-based predictor for identifying translation initiation site in human genes using pseudo trinucleotide composition Analytical Biochemistry ·Wei Chen, Pengmian Feng, En-Ze Deng, Hao Lin, Kuo‐Chen Chou	2014	237
16	The modified Mahalanobis Discriminant for predicting outer membrane proteins by using Chou's pseudo amino acid composition Journal of Theoretical Biology ·Hao Lin	2008	230
17	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
18	PseKNC-General: a cross-platform package for generating various modes of pseudo nucleotide compositions Bioinformatics ·Wei Chen, Xitong Zhang, Jordan Brooker, Hao Lin, Liqing Zhang, Kuo‐Chen Chou	2014	204
19	iTerm-PseKNC: a sequence-based tool for predicting bacterial transcriptional terminators Bioinformatics ·Chao-Qin Feng, Zhao‐Yue Zhang, Xiaojuan Zhu, Yan Lin, Wei Chen, Hua Tang, Hao Lin	2018	198
20	iSS-PseDNC: Identifying Splicing Sites Using Pseudo Dinucleotide Composition BioMed Research International ·Pengmian Feng, Hao Lin, Kuo‐Chen Chou +1 other	2014	197

About Hao Lin

Hao Lin is a scholar working on Molecular Biology, Computational Theory and Mathematics, Cancer Research, Genetics and Fluid Flow and Transfer Processes, having authored 301 papers that have together received 17.4k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (135 papers), Genomics and Chromatin Dynamics (29 papers), RNA modifications and cancer (22 papers), Genomics and Phylogenetic Studies (22 papers), Fractal and DNA sequence analysis (17 papers), Computational Drug Discovery Methods (15 papers), Epigenetics and DNA Methylation (12 papers) and Cancer-related molecular mechanisms research (6 papers). The work is most often cited by research in Molecular Biology (14.3k citations), Microbiology (531 citations), Computational Theory and Mathematics (1.2k citations), Cancer Research (508 citations) and Health Information Management (131 citations). Hao Lin has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Wei Chen, Hui Ding, Kuo‐Chen Chou, Pengmian Feng, Hua Tang, Hui Qiong Yang, Hao Lv, En-Ze Deng, Fanny Dao and Qian‐Zhong Li. Their work appears in journals such as Briefings in Bioinformatics, Bioinformatics, International Journal of Molecular Sciences, Molecular Therapy — Nucleic Acids and Scientific Reports.

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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