Zhan‐Heng Chen

2.7k total citations · 2 hit papers
48 papers, 1.9k citations indexed

About

Zhan‐Heng Chen is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cancer Research. According to data from OpenAlex, Zhan‐Heng Chen has authored 48 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 10 papers in Computational Theory and Mathematics and 8 papers in Cancer Research. Recurrent topics in Zhan‐Heng Chen's work include Machine Learning in Bioinformatics (20 papers), Bioinformatics and Genomic Networks (13 papers) and Protein Structure and Dynamics (10 papers). Zhan‐Heng Chen is often cited by papers focused on Machine Learning in Bioinformatics (20 papers), Bioinformatics and Genomic Networks (13 papers) and Protein Structure and Dynamics (10 papers). Zhan‐Heng Chen collaborates with scholars based in China, Australia and Russia. Zhan‐Heng Chen's co-authors include Zhu‐Hong You, Tingwen Huang, Cheng Hu, Haijun Jiang, Juan Yu, Hai-Cheng Yi, Xiao Jin Yang, Xiaoliang Li, Zhou Wen-bin and Aijun Lin and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and IEEE Access.

In The Last Decade

Zhan‐Heng Chen

44 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Fixed-time stability of dynamical systems and fixed-time synchronization of coupled discontinuous neural networks

2017 359 citations Cheng Hu, Juan Yu et al. Neural Networks profile →
China's ion-adsorption rare earth resources, mining consequences and preservation

2013 333 citations Zhan‐Heng Chen et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhan‐Heng Chen China	18	656	403	343	315	262	48	1.9k
Bingxiang Liu China	24	1.3k 1.9×	97 0.2×	134 0.4×	24 0.1×	195 0.7×	98	2.8k
Yiliang Chen China	28	74 0.1×	380 0.9×	50 0.1×	88 0.3×	114 0.4×	127	2.6k
Sanjeev S. Tambe India	25	217 0.3×	436 1.1×	58 0.2×	57 0.2×	65 0.2×	85	1.8k
Fenghe Wang China	16	90 0.1×	112 0.3×	89 0.3×	57 0.2×	47 0.2×	49	1.4k
Dongqi Wang China	26	490 0.7×	96 0.2×	16 0.0×	74 0.2×	25 0.1×	123	2.2k
Chia‐Wei Lee Taiwan	24	137 0.2×	36 0.1×	28 0.1×	385 1.2×	114 0.4×	89	1.8k
Shicheng Liu China	24	336 0.5×	267 0.7×	28 0.1×	18 0.1×	23 0.1×	120	1.7k
Yunjie Wu China	24	78 0.1×	195 0.5×	48 0.1×	146 0.5×	84 0.3×	125	1.6k
Yuanyuan Wang China	26	297 0.5×	154 0.4×	58 0.2×	66 0.2×	5 0.0×	92	2.7k
Robert Ralló Spain	27	268 0.4×	74 0.2×	17 0.0×	28 0.1×	500 1.9×	69	2.8k

Countries citing papers authored by Zhan‐Heng Chen

Since Specialization

Citations

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

Fields of papers citing papers by Zhan‐Heng Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhan‐Heng Chen. 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 Zhan‐Heng Chen. The network helps show where Zhan‐Heng Chen may publish in the future.

Co-authorship network of co-authors of Zhan‐Heng Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Zhan‐Heng Chen. A scholar is included among the top collaborators of Zhan‐Heng Chen 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 Zhan‐Heng Chen. Zhan‐Heng Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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

20 of 20 papers shown

Chen, Zhan‐Heng, et al.. (2025). Controlled Double-Direction Cyclic Quantum Communication of Arbitrary Two-Particle States. Entropy. 27(3). 292–292.

Zhang, Qinhu, et al.. (2024). Dynamic Link Prediction for New Nodes in Temporal Graph Networks. 1–8. 1 indexed citations

Chen, Zhan‐Heng, et al.. (2023). Fixed/Preassigned-Time Synchronization of Complex Variable BAM Neural Networks with Time-Varying Delays. Neural Processing Letters. 55(6). 8181–8213. 5 indexed citations

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

He, Yiqiang, Yuxin Liu, Zhe Zhang, et al.. (2023). Atomically dispersed bismuth on ZnIn2S4 Dual-Functional photocatalyst for photocatalytic hydrogen production coupled with oxidation of aromatic alcohols to aldehydes. Applied Surface Science. 622. 156911–156911. 22 indexed citations

Wang, Siguo, et al.. (2023). scInterpreter: a knowledge-regularized generative model for interpretably integrating scRNA-seq data. BMC Bioinformatics. 24(1). 481–481. 1 indexed citations

Wang, Siguo, Qinhu Zhang, Zhen Shen, et al.. (2021). Predicting transcription factor binding sites using DNA shape features based on shared hybrid deep learning architecture. Molecular Therapy — Nucleic Acids. 24. 154–163. 39 indexed citations

Cui, Zhen, Zhan‐Heng Chen, Qinhu Zhang, et al.. (2021). RMSCNN: A Random Multi-Scale Convolutional Neural Network for Marine Microbial Bacteriocins Identification. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19(6). 3663–3672. 6 indexed citations

Zhang, Qinhu, Siguo Wang, Zhan‐Heng Chen, et al.. (2021). Predicting In-Vitro DNA-Protein Binding With a Spatially Aligned Fusion of Sequence and Shape. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19(6). 3144–3153. 4 indexed citations

10.

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

11.

Hu, Pengwei, Yu‐An Huang, Jing Mei, et al.. (2021). Learning from low-rank multimodal representations for predicting disease-drug associations. BMC Medical Informatics and Decision Making. 21(S1). 308–308. 12 indexed citations

12.

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

13.

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

14.

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

15.

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

16.

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

17.

Wong, Leon, et al.. (2019). LNRLMI: Linear neighbour representation for predicting lncRNA‐miRNA interactions. Journal of Cellular and Molecular Medicine. 24(1). 79–87. 25 indexed citations

18.

Chen, Zhan‐Heng, Zhu‐Hong You, Liping Li, et al.. (2019). Prediction of Self-Interacting Proteins from Protein Sequence Information Based on Random Projection Model and Fast Fourier Transform. International Journal of Molecular Sciences. 20(4). 930–930. 17 indexed citations

19.

Yi, Hai-Cheng, Zhu‐Hong You, Xi Zhou, et al.. (2019). ACP-DL: A Deep Learning Long Short-Term Memory Model to Predict Anticancer Peptides Using High-Efficiency Feature Representation. Molecular Therapy — Nucleic Acids. 17. 1–9. 160 indexed citations

20.

Hu, Cheng, Juan Yu, Zhan‐Heng Chen, Haijun Jiang, & Tingwen Huang. (2017). Fixed-time stability of dynamical systems and fixed-time synchronization of coupled discontinuous neural networks. Neural Networks. 89. 74–83. 359 indexed citations breakdown →

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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