Zhiming Dai

1.0k total citations
49 papers, 609 citations indexed

About

Zhiming Dai is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Zhiming Dai has authored 49 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 7 papers in Artificial Intelligence and 4 papers in Genetics. Recurrent topics in Zhiming Dai's work include RNA and protein synthesis mechanisms (24 papers), Genomics and Chromatin Dynamics (24 papers) and RNA Research and Splicing (10 papers). Zhiming Dai is often cited by papers focused on RNA and protein synthesis mechanisms (24 papers), Genomics and Chromatin Dynamics (24 papers) and RNA Research and Splicing (10 papers). Zhiming Dai collaborates with scholars based in China, United States and Hong Kong. Zhiming Dai's co-authors include Xianhua Dai, Guishan Zhang, Haitao Yu, Yuanyan Xiong, Qian Xiang, Zhou Songyang, Yangyang Deng, Caisheng He, Jiang Wang and Zhenhua Luo and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Scientific Reports.

In The Last Decade

Zhiming Dai

48 papers receiving 601 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhiming Dai China 14 508 73 69 64 28 49 609
Vitalii Kleshchevnikov United Kingdom 3 761 1.5× 90 1.2× 48 0.7× 79 1.2× 14 0.5× 4 854
Joaquín Custodio Sweden 9 915 1.8× 119 1.6× 75 1.1× 115 1.8× 5 0.2× 14 998
Oana Ursu United States 9 604 1.2× 66 0.9× 85 1.2× 142 2.2× 5 0.2× 13 696
Md. Abul Hassan Samee United States 12 534 1.1× 25 0.3× 85 1.2× 105 1.6× 12 0.4× 34 614
Arne Soete Belgium 6 457 0.9× 68 0.9× 23 0.3× 95 1.5× 13 0.5× 8 622
Andrew Tikhonov United Kingdom 4 519 1.0× 94 1.3× 62 0.9× 62 1.0× 22 0.8× 5 686
Emma K. Farley United States 12 565 1.1× 63 0.9× 54 0.8× 133 2.1× 8 0.3× 17 639
Danyang Yu China 13 588 1.2× 154 2.1× 97 1.4× 83 1.3× 23 0.8× 23 744
Charlotte A. Darby United States 7 332 0.7× 63 0.9× 134 1.9× 154 2.4× 14 0.5× 8 448
Tomasz Konopka United Kingdom 8 459 0.9× 88 1.2× 34 0.5× 73 1.1× 3 0.1× 19 563

Countries citing papers authored by Zhiming Dai

Since Specialization
Citations

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

Fields of papers citing papers by Zhiming Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhiming Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Zhiming Dai. A scholar is included among the top collaborators of Zhiming Dai 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 Zhiming Dai. Zhiming Dai 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.
Dai, Zhiming, et al.. (2025). Deciphering Cell Type Abundance in Proteomics Data Through Graph Neural Networks. Advanced Science. 12(33). e02987–e02987. 1 indexed citations
2.
Zhang, Chengyang, et al.. (2024). Imputing spatial transcriptomics through gene network constructed from protein language model. Communications Biology. 7(1). 1271–1271. 1 indexed citations
3.
Yang, Yuedong, et al.. (2023). Subgraph extraction and graph representation learning for single cell Hi-C imputation and clustering. Briefings in Bioinformatics. 25(1). 9 indexed citations
4.
Dai, Zhiming, et al.. (2023). Enhancing Medical Report Generation in Multi-Slice Fusion Scenarios. 1030–1037. 1 indexed citations
5.
Zhu, Huimin, Songbin Liu, Zhiming Dai, et al.. (2022). REIA: A database for cancer A-to-I RNA editing with interactive analysis. International Journal of Biological Sciences. 18(6). 2472–2483. 9 indexed citations
6.
Li, Zhilan & Zhiming Dai. (2020). SRHiC: A Deep Learning Model to Enhance the Resolution of Hi-C Data. Frontiers in Genetics. 11. 353–353. 14 indexed citations
7.
Luo, Zhenhua, Weixu Wang, Feng Li, et al.. (2019). Pan-cancer analysis identifies telomerase-associated signatures and cancer subtypes. Molecular Cancer. 18(1). 106–106. 64 indexed citations
8.
Dai, Zhiming. (2019). Gene Repositioning Is Under Constraints After Evolutionary Conserved Gene Neighborhood Separate. Frontiers in Genetics. 10. 1030–1030. 2 indexed citations
9.
Yang, Yong, Zhiming Dai, & Xianhua Dai. (2019). Insights into active intragenic enhancers. Biochemical and Biophysical Research Communications. 515(3). 423–428. 4 indexed citations
10.
Yu, Haitao & Zhiming Dai. (2019). SNNRice6mA: A Deep Learning Method for Predicting DNA N6-Methyladenine Sites in Rice Genome. Frontiers in Genetics. 10. 1071–1071. 68 indexed citations
11.
Xie, Xiaowei, Wenbin Ma, Zhou Songyang, et al.. (2016). CCSI: a database providing chromatin–chromatin spatial interaction information. Database. 2016. bav124–bav124. 11 indexed citations
12.
Luo, Zhi-Hui, Zhiming Dai, Xiaoyan Xie, et al.. (2015). TeloPIN: a database of telomeric proteins interaction network in mammalian cells. Database. 2015(0). bav018–bav018. 9 indexed citations
13.
Cai, Yanning, et al.. (2015). Gene expression of OCT4, SOX2, KLF4 and MYC (OSKM) induced pluripotent stem cells: identification for potential mechanisms. Diagnostic Pathology. 10(1). 35–35. 14 indexed citations
14.
Dai, Zhiming, Yuanyan Xiong, & Xianhua Dai. (2014). Neighboring Genes Show Interchromosomal Colocalization after Their Separation. Molecular Biology and Evolution. 31(5). 1166–1172. 17 indexed citations
15.
Dai, Zhiming, Yuanyan Xiong, & Xianhua Dai. (2013). The Pattern and Evolution of Looped Gene Bendability. Molecular Biology and Evolution. 31(2). 319–329. 3 indexed citations
16.
Dai, Zhiming & Xianhua Dai. (2011). Nuclear colocalization of transcription factor target genes strengthens coregulation in yeast. Nucleic Acids Research. 40(1). 27–36. 26 indexed citations
17.
Dai, Xianhua, Zhiming Dai, Qian Xiang, et al.. (2010). A simulation model for nucleosome distribution in the yeast genome based on integrated cross-platform positioning datasets. Mathematical and Computer Modelling. 52(11-12). 1932–1939. 1 indexed citations
18.
Dai, Zhiming, Xianhua Dai, Qian Xiang, et al.. (2009). Transcriptional interaction-assisted identification of dynamic nucleosome positioning. BMC Bioinformatics. 10(S1). S31–S31. 2 indexed citations
19.
Dai, Zhiming, et al.. (2009). Insights into distinct regulatory modes of nucleosome positioning. BMC Genomics. 10(1). 602–602. 5 indexed citations
20.
Xiang, Qian, Xianhua Dai, Yangyang Deng, et al.. (2008). Missing value imputation for microarray gene expression data using histone acetylation information. BMC Bioinformatics. 9(1). 252–252. 36 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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