Wanwen Zeng

1.3k total citations
24 papers, 712 citations indexed

About

Wanwen Zeng is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Wanwen Zeng has authored 24 papers receiving a total of 712 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Cancer Research. Recurrent topics in Wanwen Zeng's work include Genomics and Chromatin Dynamics (13 papers), RNA and protein synthesis mechanisms (8 papers) and Machine Learning in Bioinformatics (6 papers). Wanwen Zeng is often cited by papers focused on Genomics and Chromatin Dynamics (13 papers), RNA and protein synthesis mechanisms (8 papers) and Machine Learning in Bioinformatics (6 papers). Wanwen Zeng collaborates with scholars based in China, United States and India. Wanwen Zeng's co-authors include Rui Jiang, Min Xu, Yong Wang, Mengmeng Wu, Qiao Liu, Wing Hung Wong, Zhana Duren, Xi Chen, Ting Chen and Shengquan Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Wanwen Zeng

21 papers receiving 708 citations

Peers

Wanwen Zeng

BIOPH

CTM

GENET

Yungang Xu China

Niran Abeygunawardena United Kingdom

Paul Brazhnik United States

Catherine Snow United Kingdom

Tianming Zhou United States

Andrew Tikhonov United Kingdom

Haotian Cui Canada

Jiecong Lin Hong Kong

Sabry Razick Norway

Guosheng Han China

Yungang Xu China

Wanwen Zeng

477 ×0.8

128 ×1.5

37 ×0.7

BIOPH

37 ×0.7

CTM

42 ×0.8

GENET

Citations per year, relative to Wanwen Zeng Wanwen Zeng (= 1×) peers Yungang Xu

Countries citing papers authored by Wanwen Zeng

Since Specialization

Citations

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

Fields of papers citing papers by Wanwen Zeng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wanwen Zeng

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

All Works

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20 of 20 papers shown

Yin, Qijin, Zijing Gao, Zhen Li, et al.. (2025). CREATE: cell-type-specific cis-regulatory element identification via discrete embedding. Nature Communications. 16(1). 4607–4607.

Gao, Zijing, Qiao Liu, Wanwen Zeng, Rui Jiang, & Wing Hung Wong. (2024). EpiGePT: a pretrained transformer-based language model for context-specific human epigenomics. Genome biology. 25(1). 310–310. 8 indexed citations

Zhang, Shuang, et al.. (2023). Applications of transformer-based language models in bioinformatics: a survey. Bioinformatics Advances. 3(1). vbad001–vbad001. 86 indexed citations

Yin, Qijin, et al.. (2023). DeepDrug: A general graph‐based deep learning framework for drug‐drug interactions and drug‐target interactions prediction. Quantitative Biology. 11(3). 260–274. 22 indexed citations

Liu, Qiao, Wanwen Zeng, Wei Zhang, et al.. (2022). Deep generative modeling and clustering of single cell Hi-C data. Briefings in Bioinformatics. 24(1). 15 indexed citations

Yin, Qijin, Qiao Liu, Wanwen Zeng, et al.. (2022). scGraph: a graph neural network-based approach to automatically identify cell types. Bioinformatics. 38(11). 2996–3003. 22 indexed citations

Zeng, Wanwen, Qiao Liu, Qijin Yin, Rui Jiang, & Wing Hung Wong. (2022). HiChIPdb: a comprehensive database of HiChIP regulatory interactions. Nucleic Acids Research. 51(D1). D159–D166. 16 indexed citations

Zeng, Wanwen, Jingxue Xin, Rui Jiang, & Yong Wang. (2021). Reusability report: Compressing regulatory networks to vectors for interpreting gene expression and genetic variants. Nature Machine Intelligence. 3(7). 576–580. 3 indexed citations

Zhou, Jianyu, Pan Li, Wanwen Zeng, et al.. (2020). IRIS: A method for predicting in vivo RNA secondary structures using PARIS data. Quantitative Biology. 8(4). 369–381. 9 indexed citations

10.

Zeng, Wanwen, Yong Wang, & Rui Jiang. (2019). Integrating distal and proximal information to predict gene expression via a densely connected convolutional neural network. Bioinformatics. 36(2). 496–503. 34 indexed citations

11.

Zeng, Wanwen, Xi Chen, Zhana Duren, et al.. (2019). DC3 is a method for deconvolution and coupled clustering from bulk and single-cell genomics data. Nature Communications. 10(1). 4613–4613. 49 indexed citations

12.

Zeng, Wanwen, Min Xu, & Rui Jiang. (2019). EnDisease: a manually curated database for enhancer-disease associations. Database. 2019. 16 indexed citations

13.

Duren, Zhana, Xi Chen, Mahdi Zamanighomi, et al.. (2018). Integrative analysis of single-cell genomics data by coupled nonnegative matrix factorizations. Proceedings of the National Academy of Sciences. 115(30). 7723–7728. 115 indexed citations

14.

Zeng, Wanwen, Mengmeng Wu, & Rui Jiang. (2018). Prediction of enhancer-promoter interactions via natural language processing. BMC Genomics. 19(S2). 84–84. 71 indexed citations

15.

Wu, Mengmeng, Wanwen Zeng, Wenqiang Liu, et al.. (2018). Leveraging multiple gene networks to prioritize GWAS candidate genes via network representation learning. Methods. 145. 41–50. 13 indexed citations

16.

Xu, Min, Wanwen Zeng, Shengquan Chen, et al.. (2017). Predicting enhancers with deep convolutional neural networks. BMC Bioinformatics. 18(S13). 478–478. 73 indexed citations

17.

Gan, Mingxin, et al.. (2017). Mimvec: a deep learning approach for analyzing the human phenome. BMC Systems Biology. 11(S4). 76–76. 4 indexed citations

18.

Xu, Min, et al.. (2017). Chromatin accessibility prediction via convolutional Long Short-Term Memory networks with k-mer embedding. Faculty of 1000 Research Ltd. 6. 21 indexed citations

19.

Wu, Mengmeng, Wanwen Zeng, Wenqiang Liu, et al.. (2017). Integrating embeddings of multiple gene networks to prioritize complex disease-associated genes. 2015. 208–215. 6 indexed citations

20.

Wu, Jiaxin, et al.. (2016). dbWGFP: a database and web server of human whole-genome single nucleotide variants and their functional predictions. Database. 2016. baw024–baw024. 18 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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