Ziheng Duan

921 total citations
23 papers, 285 citations indexed

About

Ziheng Duan is a scholar working on Molecular Biology, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Ziheng Duan has authored 23 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Artificial Intelligence and 5 papers in Signal Processing. Recurrent topics in Ziheng Duan's work include Single-cell and spatial transcriptomics (8 papers), Advanced Graph Neural Networks (6 papers) and Time Series Analysis and Forecasting (5 papers). Ziheng Duan is often cited by papers focused on Single-cell and spatial transcriptomics (8 papers), Advanced Graph Neural Networks (6 papers) and Time Series Analysis and Forecasting (5 papers). Ziheng Duan collaborates with scholars based in United States, China and Canada. Ziheng Duan's co-authors include Yueyang Wang, Haoyan Xu, Yida Huang, Jie Feng, Zhongbin Xu, Yizhou Sun, Wei Wang, Fei Wu, Yueting Zhuang and Runjian Chen and has published in prestigious journals such as Bioinformatics, International Journal of Molecular Sciences and PLoS Computational Biology.

In The Last Decade

Ziheng Duan

22 papers receiving 280 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ziheng Duan United States	9	127	72	58	25	22	23	285
Zhao Xu China	11	176 1.4×	31 0.4×	28 0.5×	30 1.2×	14 0.6×	40	327
Salma Noor Pakistan	7	97 0.8×	19 0.3×	41 0.7×	48 1.9×	20 0.9×	11	279
Wushour Silamu China	8	113 0.9×	38 0.5×	8 0.1×	37 1.5×	24 1.1×	28	245
Emilio Corchado Spain	8	163 1.3×	28 0.4×	14 0.2×	55 2.2×	19 0.9×	23	332
Gözde Ulutagay Türkiye	9	141 1.1×	61 0.8×	12 0.2×	66 2.6×	7 0.3×	27	313
Zhihan Yue China	3	208 1.6×	190 2.6×	10 0.2×	35 1.4×	21 1.0×	4	360
Tianmeng Yang China	3	212 1.7×	190 2.6×	10 0.2×	36 1.4×	21 1.0×	5	362
Yuan Wan China	9	142 1.1×	109 1.5×	9 0.2×	135 5.4×	11 0.5×	24	354
Yihao Li China	10	117 0.9×	33 0.5×	20 0.3×	53 2.1×	5 0.2×	35	274

Countries citing papers authored by Ziheng Duan

Since Specialization

Citations

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

Fields of papers citing papers by Ziheng Duan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ziheng Duan

This figure shows the co-authorship network connecting the top 25 collaborators of Ziheng Duan. A scholar is included among the top collaborators of Ziheng Duan 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 Ziheng Duan. Ziheng Duan 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

Duan, Ziheng, et al.. (2025). MUSE: A Multi-slice Joint Analysis Method for Spatial Transcriptomics Experiments. PubMed. 2025. 625–634.

Duan, Ziheng, Siwei Xu, Ahyeon Hwang, et al.. (2024). scENCORE: leveraging single-cell epigenetic data to predict chromatin conformation using graph embedding. Briefings in Bioinformatics. 25(2). 4 indexed citations

Lee, Che-Yu, et al.. (2024). Characterizing dysregulations via cell-cell communications in Alzheimer’s brains using single-cell transcriptomes. BMC Neuroscience. 25(1). 24–24. 6 indexed citations

Duan, Ziheng, et al.. (2024). iMIRACLE: An Iterative Multi-View Graph Neural Network to Model Intercellular Gene Regulation From Spatial Transcriptomic Data. PubMed. 2024. 538–548. 2 indexed citations

Dai, Yi, Ziheng Duan, Siwei Xu, & Jing Zhang. (2024). CytoFlow: A Novel Computational Method to Construct Signal Transduction Networks at Single-Cell Resolution Based on Flow Networks. 212–217. 1 indexed citations

Fan, Jiaqi, et al.. (2024). The Regulatory Role of miRNAs in Zebrafish Fin Regeneration. International Journal of Molecular Sciences. 25(19). 10542–10542. 1 indexed citations

Duan, Ziheng, et al.. (2024). Impeller: a path-based heterogeneous graph learning method for spatial transcriptomic data imputation. Bioinformatics. 40(6). 2 indexed citations

Duan, Ziheng, Che-Yu Lee, & Jing Zhang. (2023). ExAD-GNN: Explainable Graph Neural Network for Alzheimer’s Disease State Prediction from Single-cell Data. APSIPA Transactions on Signal and Information Processing. 12(5). 6 indexed citations

Zhang, Ruiyi, et al.. (2023). Turtling: a time-aware neural topic model on NIH grant data. Bioinformatics Advances. 3(1). vbad096–vbad096. 1 indexed citations

10.

Duan, Ziheng, Yi Dai, Ahyeon Hwang, et al.. (2023). iHerd: an integrative hierarchical graph representation learning framework to quantify network changes and prioritize risk genes in disease. PLoS Computational Biology. 19(9). e1011444–e1011444. 8 indexed citations

11.

Lee, Che-Yu, Yuhang Chen, Ziheng Duan, et al.. (2022). Venus: An efficient virus infection detection and fusion site discovery method using single-cell and bulk RNA-seq data. PLoS Computational Biology. 18(10). e1010636–e1010636. 4 indexed citations

12.

Duan, Ziheng, Haoyan Xu, Yueyang Wang, et al.. (2022). Multivariate time-series classification with hierarchical variational graph pooling. Neural Networks. 154. 481–490. 54 indexed citations

13.

Duan, Ziheng, Haoyan Xu, Yida Huang, Jie Feng, & Yueyang Wang. (2022). Multivariate Time Series Forecasting with Transfer Entropy Graph. Tsinghua Science & Technology. 28(1). 141–149. 31 indexed citations

14.

Wang, Yueyang, et al.. (2021). MTHetGNN: A heterogeneous graph embedding framework for multivariate time series forecasting. Pattern Recognition Letters. 153. 151–158. 36 indexed citations

15.

Xu, Haoyan, Yida Huang, Ziheng Duan, Jie Feng, & Pengyu Song. (2020). Multivariate Time Series Forecasting Based on Causal Inference with Transfer Entropy and Graph Neural Network.. arXiv (Cornell University). 11 indexed citations

16.

Xu, Haoyan, Runjian Chen, Yunsheng Bai, et al.. (2020). Hierarchical and Fast Graph Similarity Computation via Graph Coarsening and Deep Graph Learning.. arXiv (Cornell University). 2 indexed citations

17.

Huang, Yida, Haoyan Xu, Ziheng Duan, et al.. (2020). Modeling Complex Spatial Patterns with Temporal Features via Heterogenous Graph Embedding Networks.. arXiv (Cornell University). 1 indexed citations

18.

Zhou, Chunlin, et al.. (2019). Untethered quadrupedal hopping and bounding on a trampoline. Frontiers of Mechanical Engineering. 15(2). 181–192. 5 indexed citations

19.

Duan, Ziheng, et al.. (2019). Heterogeneous Attributed Network Embedding with Graph Convolutional Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 10061–10062. 32 indexed citations

20.

Wang, Bing, Huiling Liu, Chen Cai, et al.. (2016). Effect of dry mycelium of Penicillium chrysogenum fertilizer on soil microbial community composition, enzyme activities and snap bean growth. Environmental Science and Pollution Research. 23(20). 20728–20738. 12 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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