Hao Lin

25.8k total citations · 10 hit papers
311 papers, 20.6k citations indexed

About

Hao Lin is a scholar working on Molecular Biology, Cancer Research and Computational Theory and Mathematics. According to data from OpenAlex, Hao Lin has authored 311 papers receiving a total of 20.6k indexed citations (citations by other indexed papers that have themselves been cited), including 247 papers in Molecular Biology, 26 papers in Cancer Research and 20 papers in Computational Theory and Mathematics. Recurrent topics in Hao Lin's work include Machine Learning in Bioinformatics (147 papers), RNA and protein synthesis mechanisms (122 papers) and Genomics and Phylogenetic Studies (98 papers). Hao Lin is often cited by papers focused on Machine Learning in Bioinformatics (147 papers), RNA and protein synthesis mechanisms (122 papers) and Genomics and Phylogenetic Studies (98 papers). Hao Lin collaborates with scholars based in China, United States and Saudi Arabia. Hao Lin's co-authors include Wei Chen, Hui Ding, Kuo‐Chen Chou, Pengmian Feng, Zhenduo Shi, Conghui Han, Gang Wang, Yang Dong, Zhiguo Zhang and Hua Tang and has published in prestigious journals such as Nucleic Acids Research, Advanced Materials and SHILAP Revista de lepidopterología.

In The Last Decade

Hao Lin

299 papers receiving 20.4k citations

Hit Papers

Efficacy and Safety of Tadalafil Monotherapy for Lower Ur... 2013 2026 2017 2021 2013 2013 2014 2016 2019 1000 2.0k 3.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hao Lin China 76 15.4k 1.6k 1.6k 1.0k 888 311 20.6k
Yu‐Dong Cai China 64 11.8k 0.8× 2.4k 1.5× 1.5k 0.9× 340 0.3× 532 0.6× 491 15.6k
Jie Wang China 67 10.0k 0.6× 391 0.2× 3.3k 2.1× 1.7k 1.7× 1.4k 1.6× 1.2k 23.5k
Jan Baumbach Germany 58 5.4k 0.3× 489 0.3× 700 0.4× 267 0.3× 743 0.8× 439 13.2k
Hua Li China 63 9.9k 0.6× 1.0k 0.7× 2.7k 1.7× 1.3k 1.3× 1.8k 2.0× 901 21.9k
Tao Huang China 50 6.0k 0.4× 1.0k 0.7× 1.5k 0.9× 197 0.2× 616 0.7× 395 8.7k
Li Li China 53 4.9k 0.3× 669 0.4× 998 0.6× 1.9k 1.9× 1.2k 1.4× 699 14.9k
Jean Yang Australia 52 8.2k 0.5× 268 0.2× 1.6k 1.0× 704 0.7× 1.0k 1.1× 257 13.8k
Sorin Drăghici United States 47 6.6k 0.4× 808 0.5× 1.4k 0.9× 287 0.3× 706 0.8× 171 10.7k
Mark S. Boguski United States 52 11.5k 0.7× 423 0.3× 1.4k 0.9× 995 1.0× 656 0.7× 91 20.0k
Eran Segal Israel 84 28.6k 1.9× 421 0.3× 8.2k 5.3× 1.9k 1.9× 1.1k 1.2× 292 38.9k

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-authorship network of co-authors of Hao Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Hao Lin. A scholar is included among the top collaborators of Hao Lin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hao Lin. Hao Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Xue, Qingquan, Qian Feng, Hao Lin, et al.. (2024). Construction of C3N4/Ag2S p-n semiconductor heterojunction coupled with Ag-induced SPR effect on CF cloth for improving photocatalytic activity. Journal of environmental chemical engineering. 12(6). 114183–114183. 8 indexed citations
2.
Wang, Bowen, Hao Lin, Can Yang, et al.. (2024). Combustion and heat transfer characteristics of a heavy-duty low-pressure-direct-injection hydrogen engine with a flat-roof-and-shallow-bowl combustion chamber. International Journal of Hydrogen Energy. 96. 597–611. 1 indexed citations
3.
Zhang, Zhao‐Yue, et al.. (2024). Excavation of gene markers associated with pancreatic ductal adenocarcinoma based on interrelationships of gene expression. IET Systems Biology. 18(6). 261–270. 3 indexed citations
4.
Basharat, Ahmad, et al.. (2024). A protein pre-trained model-based approach for the identification of the liquid-liquid phase separation (LLPS) proteins. International Journal of Biological Macromolecules. 277(Pt 4). 134146–134146. 3 indexed citations
5.
Lin, Hao, Xing‐Jie Liang, Yawen Zhang, et al.. (2024). Fine‐Tuning the d‐Band Center Position of Zinc to Increase the Anti‐Tumor Activity of Single‐Atom Nanozymes. Advanced Materials. 36(48). e2412368–e2412368. 21 indexed citations
6.
Zhang, Zhao‐Yue, et al.. (2024). A BERT-based model for the prediction of lncRNA subcellular localization in Homo sapiens. International Journal of Biological Macromolecules. 265(Pt 1). 130659–130659. 13 indexed citations
7.
Wang, Bowen, Can Yang, Yuxin Chen, et al.. (2024). Combustion and emissions of an ammonia heavy-duty engine with a hydrogen-fueled active pre-chamber ignition system. International Journal of Hydrogen Energy. 90. 419–430. 18 indexed citations
8.
Li, Siwei, Jie Yang, Shuo Wang, et al.. (2023). Long-term PM2.5 concentration prediction based on improved empirical mode decomposition and deep neural network combined with noise reduction auto-encoder- A case study in Beijing. Journal of Cleaner Production. 428. 139449–139449. 10 indexed citations
9.
Gao, Jie, et al.. (2023). Identification of Key DNA methylation sites related to differentially expressed genes in Lung squamous cell carcinoma. Computers in Biology and Medicine. 167. 107615–107615. 1 indexed citations
10.
Zhu, Wen, Shi-Shi Yuan, Jian Li, et al.. (2023). A First Computational Frame for Recognizing Heparin-Binding Protein. Diagnostics. 13(14). 2465–2465. 72 indexed citations
11.
Zhang, Wenchang, et al.. (2023). Paternal genetic effects of cadmium exposure during pregnancy on hormone synthesis disorders in ovarian granulosa cells of offspring. Journal of Ovarian Research. 16(1). 98–98. 8 indexed citations
12.
Zulfiqar, Hasan, et al.. (2022). Deep-4mCGP: A Deep Learning Approach to Predict 4mC Sites in Geobacter pickeringii by Using Correlation-Based Feature Selection Technique. International Journal of Molecular Sciences. 23(3). 1251–1251. 27 indexed citations
13.
Qiu, Wang‐Ren, et al.. (2021). EMCBOW-GPCR: A method for identifying G-protein coupled receptors based on word embedding and wordbooks. Computational and Structural Biotechnology Journal. 19. 4961–4969. 8 indexed citations
14.
Wu, Tingting, et al.. (2020). A review of implantable pulsatile blood pumps: Engineering perspectives. The International Journal of Artificial Organs. 43(9). 559–569. 2 indexed citations
15.
Chen, Wei, Pengmian Feng, Hui Yang, et al.. (2018). iRNA-3typeA: Identifying Three Types of Modification at RNA’s Adenosine Sites. Molecular Therapy — Nucleic Acids. 11. 468–474. 161 indexed citations
16.
Feng, Pengmian, Hui Ding, Wei Chen, & Hao Lin. (2016). Identifying RNA 5-methylcytosine sites via pseudo nucleotide compositions. Molecular BioSystems. 12(11). 3307–3311. 49 indexed citations
17.
Dong, Chuan, Hong‐Li Hua, Yuan‐Nong Ye, et al.. (2016). Combining pseudo dinucleotide composition with the Z curve method to improve the accuracy of predicting DNA elements: a case study in recombination spots. Molecular BioSystems. 12(9). 2893–2900. 18 indexed citations
18.
Chen, Wei, Hao Lin, & Kuo‐Chen Chou. (2015). Pseudo nucleotide composition or PseKNC: an effective formulation for analyzing genomic sequences. Molecular BioSystems. 11(10). 2620–2634. 278 indexed citations
19.
Zhu, Panpan, Wenchao Li, En-Ze Deng, et al.. (2014). Predicting the subcellular localization of mycobacterial proteins by incorporating the optimal tripeptides into the general form of pseudo amino acid composition. Molecular BioSystems. 11(2). 558–563. 103 indexed citations
20.
Ding, Hui, Pengmian Feng, Wei Chen, & Hao Lin. (2014). Identification of bacteriophage virion proteins by the ANOVA feature selection and analysis. Molecular BioSystems. 10(8). 2229–2235. 156 indexed citations

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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