Zhen-Hao Guo

828 total citations
26 papers, 460 citations indexed

About

Zhen-Hao Guo is a scholar working on Molecular Biology, Cancer Research and Computational Theory and Mathematics. According to data from OpenAlex, Zhen-Hao Guo has authored 26 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 9 papers in Cancer Research and 7 papers in Computational Theory and Mathematics. Recurrent topics in Zhen-Hao Guo's work include Bioinformatics and Genomic Networks (10 papers), Cancer-related molecular mechanisms research (9 papers) and Machine Learning in Bioinformatics (7 papers). Zhen-Hao Guo is often cited by papers focused on Bioinformatics and Genomic Networks (10 papers), Cancer-related molecular mechanisms research (9 papers) and Machine Learning in Bioinformatics (7 papers). Zhen-Hao Guo collaborates with scholars based in China, Hong Kong and France. Zhen-Hao Guo's co-authors include Zhu‐Hong You, Hai-Cheng Yi, Zhan‐Heng Chen, Kai Zheng, Lei Wang, Yanbin Wang, Yanbin Wang, De-Shuang Huang, Jianqiang Li and Yu‐An Huang and has published in prestigious journals such as Journal of Hazardous Materials, Macromolecules and Polymer.

In The Last Decade

Zhen-Hao Guo

25 papers receiving 454 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhen-Hao Guo China 13 342 186 124 27 24 26 460
Zuping Zhang China 13 372 1.1× 198 1.1× 239 1.9× 45 1.7× 21 0.9× 22 493
Piotr Grabowski United Kingdom 10 238 0.7× 29 0.2× 56 0.5× 13 0.5× 20 0.8× 20 403
Xiangeng Wang China 11 325 1.0× 34 0.2× 190 1.5× 31 1.1× 75 3.1× 17 446
Youngmi Yoon South Korea 11 271 0.8× 36 0.2× 147 1.2× 39 1.4× 13 0.5× 52 387
Ziqi Pan China 13 263 0.8× 48 0.3× 111 0.9× 47 1.7× 42 1.8× 28 502
Yanyi Chu China 15 696 2.0× 90 0.5× 383 3.1× 63 2.3× 140 5.8× 20 912
Linlin Zhuo China 13 342 1.0× 163 0.9× 104 0.8× 36 1.3× 52 2.2× 46 431

Countries citing papers authored by Zhen-Hao Guo

Since Specialization
Citations

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

Fields of papers citing papers by Zhen-Hao Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhen-Hao Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Zhen-Hao Guo. A scholar is included among the top collaborators of Zhen-Hao Guo 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 Zhen-Hao Guo. Zhen-Hao Guo 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.
2.
Wang, Yanbin, et al.. (2024). Vul-LMGNNs: Fusing language models and online-distilled graph neural networks for code vulnerability detection. Information Fusion. 115. 102748–102748. 10 indexed citations
3.
Chen, Zhan‐Heng, et al.. (2023). GraphCPIs: A novel graph-based computational model for potential compound-protein interactions. Molecular Therapy — Nucleic Acids. 32. 721–728. 9 indexed citations
4.
Li, Li, Zhen-Hao Guo, Hang Dong, et al.. (2023). Investigation of gauze and medical bottle co-pyrolysis on the product formation, reactivity, and reaction pathway of char, liquid oil, and gas. Biomass Conversion and Biorefinery. 14(22). 29145–29158. 6 indexed citations
5.
Liu, Bingrui, Wenhao Li, Yang Xu, et al.. (2022). Mechanism of cellulose regeneration from its ionic liquid solution as revealed by infrared spectroscopy. Polymer. 257. 125280–125280. 19 indexed citations
6.
Guo, Zhen-Hao, et al.. (2022). A learning-based method to predict LncRNA-disease associations by combining CNN and ELM. BMC Bioinformatics. 22(S5). 622–622. 3 indexed citations
7.
Zhao, Bo-Wei, Zhu‐Hong You, Lun Hu, et al.. (2021). A Novel Method to Predict Drug-Target Interactions Based on Large-Scale Graph Representation Learning. Cancers. 13(9). 2111–2111. 26 indexed citations
8.
Guo, Zhen-Hao, Zhu‐Hong You, De-Shuang Huang, et al.. (2020). MeSHHeading2vec: a new method for representing MeSH headings as vectors based on graph embedding algorithm. Briefings in Bioinformatics. 22(2). 2085–2095. 32 indexed citations
9.
Zheng, Kai, Zhu‐Hong You, Jianqiang Li, et al.. (2020). iCDA-CGR: Identification of circRNA-disease associations based on Chaos Game Representation. PLoS Computational Biology. 16(5). e1007872–e1007872. 61 indexed citations
10.
Wong, Leon, et al.. (2020). MIPDH: A Novel Computational Model for Predicting microRNA–mRNA Interactions by DeepWalk on a Heterogeneous Network. ACS Omega. 5(28). 17022–17032. 11 indexed citations
11.
Guo, Zhen-Hao, Zhu‐Hong You, Yanbin Wang, et al.. (2020). Bioentity2vec: Attribute- and behavior-driven representation for predicting multi-type relationships between bioentities. GigaScience. 9(6). 2 indexed citations
12.
Yi, Hai-Cheng, Zhu‐Hong You, Zhen-Hao Guo, De-Shuang Huang, & Keith C. C. Chan. (2020). Learning Representation of Molecules in Association Network for Predicting Intermolecular Associations. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18(6). 2546–2554. 15 indexed citations
13.
Chen, Zhan‐Heng, et al.. (2020). Prediction of Drug–Target Interactions From Multi-Molecular Network Based on Deep Walk Embedding Model. Frontiers in Bioengineering and Biotechnology. 8. 338–338. 38 indexed citations
14.
Guo, Zhen-Hao, Zhu‐Hong You, De-Shuang Huang, et al.. (2020). A learning based framework for diverse biomolecule relationship prediction in molecular association network. Communications Biology. 3(1). 118–118. 19 indexed citations
15.
Yi, Hai-Cheng, et al.. (2020). RPI-SE: a stacking ensemble learning framework for ncRNA-protein interactions prediction using sequence information. BMC Bioinformatics. 21(1). 60–60. 38 indexed citations
16.
Zheng, Kai, Zhu‐Hong You, Lei Wang, & Zhen-Hao Guo. (2020). iMDA-BN: Identification of miRNA-disease associations based on the biological network and graph embedding algorithm. Computational and Structural Biotechnology Journal. 18. 2391–2400. 14 indexed citations
17.
Ji, Boya, et al.. (2020). Prediction of drug-target interactions from multi-molecular network based on LINE network representation method. Journal of Translational Medicine. 18(1). 347–347. 21 indexed citations
18.
19.
Guo, Zhen-Hao, Zhu‐Hong You, & Hai-Cheng Yi. (2019). Integrative Construction and Analysis of Molecular Association Network in Human Cells by Fusing Node Attribute and Behavior Information. Molecular Therapy — Nucleic Acids. 19. 498–506. 7 indexed citations
20.
Yi, Hai-Cheng, Zhu‐Hong You, & Zhen-Hao Guo. (2019). Construction and Analysis of Molecular Association Network by Combining Behavior Representation and Node Attributes. Frontiers in Genetics. 10. 1106–1106. 9 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Zuping Zhang Breakdown of academic impact, for papers by Piotr Grabowski Breakdown of academic impact, for papers by Xiangeng Wang Breakdown of academic impact, for papers by Youngmi Yoon Breakdown of academic impact, for papers by Ziqi Pan Breakdown of academic impact, for papers by Yanyi Chu Breakdown of academic impact, for papers by Linlin Zhuo
Rankless by CCL
2026