Qi Dai

2.1k total citations · 1 hit paper
98 papers, 1.4k citations indexed

About

Qi Dai is a scholar working on Molecular Biology, Computational Theory and Mathematics and Epidemiology. According to data from OpenAlex, Qi Dai has authored 98 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 5 papers in Epidemiology. Recurrent topics in Qi Dai's work include Machine Learning in Bioinformatics (58 papers), RNA and protein synthesis mechanisms (33 papers) and Genomics and Phylogenetic Studies (32 papers). Qi Dai is often cited by papers focused on Machine Learning in Bioinformatics (58 papers), RNA and protein synthesis mechanisms (33 papers) and Genomics and Phylogenetic Studies (32 papers). Qi Dai collaborates with scholars based in China, United States and Japan. Qi Dai's co-authors include Pingan He, Tianming Wang, Yuhua Yao, Xuying Nan, Lei Chen, Xiaoqing Liu, Yanchun Yang, Yaozhou Zhang, Xiaoqing Liu and Xiaoqing Liu and has published in prestigious journals such as Nature Communications, Bioinformatics and PLoS ONE.

In The Last Decade

Qi Dai

86 papers receiving 1.4k citations

Hit Papers

Efficient assembly of nanopore reads via highly accurate ... 2021 2026 2022 2024 2021 50 100 150 200
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.

  1. Efficient assembly of nanopore reads via highly accurate and intact error correction
    2021 239 citations Yingfeng Zheng, Qi Dai et al. profile →

Peers

Qi Dai
Zhen Chen China
Kuo-Bin Li Singapore
Harald Vöhringer Germany
Andrea Pierleoni Italy
Jishou Ruan China
Andrew Yates United Kingdom
Andy Perkins United States
Changhui Yan United States
Abhay Jere India
Xosé M. Fernández United Kingdom
Zhen Chen China
Qi Dai
Citations per year, relative to Qi Dai Qi Dai (= 1×) peers Zhen Chen

Countries citing papers authored by Qi Dai

Since Specialization
Citations

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

Fields of papers citing papers by Qi Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qi Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Qi Dai. A scholar is included among the top collaborators of Qi 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 Qi Dai. Qi 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
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Li, Junnan, Wei Zhang, & Qi Dai. (2025). scDGG: Dynamic gene graphs for enhancing clustering analysis of single-cell RNA sequencing data via spatiotemporal representations. Computational Biology and Chemistry. 118. 108483–108483.
3.
Xu, Shihan, et al.. (2025). Hedgehog Signalling in Osteogenesis and Bone Metabolism: Molecular Mechanisms, Regulatory Networks and Implications for Skeletal Disease. Journal of Cellular and Molecular Medicine. 29(16). e70813–e70813.
4.
Dai, Qi, et al.. (2025). Notch signaling pathway in osteogenesis, bone development, metabolism, and diseases. The FASEB Journal. 39(4). e70417–e70417. 3 indexed citations
5.
Chen, Hu, et al.. (2025). MGRL-DDI: Multiview Graph Representation Learning for Accurate Drug–Drug Interaction Prediction. Journal of Chemical Information and Modeling. 65(18). 9800–9814.
6.
Hu, Xiao, Lina Chen, Qi Dai, et al.. (2025). AlTPS6 from Atractylodes lancea Is a Crucial Regulatory Target for Root-Knot Nematode Infestation. Journal of Agricultural and Food Chemistry. 73(31). 19301–19314.
7.
Zhou, Ming, Zhuoxing Shi, Xiaolin Liang, et al.. (2024). Single-Cell Transcriptomic Analysis Reveals Dynamic Cellular Processes in Corneal Epithelium During Wound Healing in Cynomolgus Monkeys. Investigative Ophthalmology & Visual Science. 65(11). 43–43. 2 indexed citations
8.
Zhang, Yixuan, et al.. (2024). scHybridBERT: integrating gene regulation and cell graph for spatiotemporal dynamics in single-cell clustering. Briefings in Bioinformatics. 25(2). 3 indexed citations
9.
10.
Chen, Lifang, Qi Dai, & Jialiang Zhao. (2021). A multi-granularity ensemble classification algorithm for imbalanced data. Computer Engineering and Science. 43(5). 917.
11.
Dai, Qi, et al.. (2017). Comparative transcriptome analysis of the different tissues between the cultivated and wild tomato. PLoS ONE. 12(3). e0172411–e0172411. 19 indexed citations
12.
Wang, Cong, et al.. (2015). Prediction of High-Risk Types of Human Papillomaviruses Using Statistical Model of Protein “Sequence Space”. Computational and Mathematical Methods in Medicine. 2015. 1–9. 7 indexed citations
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Dai, Qi, Li Wu, & Lihua Li. (2011). Improving protein structural class prediction using novel combined sequence information and predicted secondary structural features. Journal of Computational Chemistry. 32(16). 3393–3398. 14 indexed citations
16.
Dai, Qi. (2010). An Intefrated Semi-Random Forests Based Approach to Gene Selection for Glioma Classification. 3 indexed citations
17.
Han, Bin, Lihua Li, Yan Chen, Lei Zhu, & Qi Dai. (2010). A two step method to identify clinical outcome relevant genes with microarray data. Journal of Biomedical Informatics. 44(2). 229–238. 6 indexed citations
18.
Yao, Yuhua, Qi Dai, Ling Li, et al.. (2009). Similarity/dissimilarity studies of protein sequences based on a new 2D graphical representation. Journal of Computational Chemistry. 31(5). 1045–1052. 39 indexed citations
19.
Dai, Qi, Xiaoqing Liu, & Tianming Wang. (2006). Numerical characterization of DNA sequences based on the k‐step Markov chain transition probability. Journal of Computational Chemistry. 27(15). 1830–1842. 11 indexed citations
20.
Dai, Qi, Xiaoqing Liu, & Tianming Wang. (2006). A novel 2D graphical representation of DNA sequences and its application. Journal of Molecular Graphics and Modelling. 25(3). 340–344. 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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