Shikui Tu

2.7k total citations
87 papers, 1.7k citations indexed

About

Shikui Tu is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Shikui Tu has authored 87 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 18 papers in Computer Vision and Pattern Recognition and 16 papers in Computational Theory and Mathematics. Recurrent topics in Shikui Tu's work include Computational Drug Discovery Methods (15 papers), CRISPR and Genetic Engineering (13 papers) and Chromosomal and Genetic Variations (13 papers). Shikui Tu is often cited by papers focused on Computational Drug Discovery Methods (15 papers), CRISPR and Genetic Engineering (13 papers) and Chromosomal and Genetic Variations (13 papers). Shikui Tu collaborates with scholars based in China, United States and Hong Kong. Shikui Tu's co-authors include Zhiping Weng, Lei Xu, Heng-Chi Lee, Craig C. Mello, Wen Tang, Wei-Sheng Wu, Wen Zhang, Swapnil S. Parhad, William E. Theurkauf and Donglei Zhang and has published in prestigious journals such as Science, Cell and Nucleic Acids Research.

In The Last Decade

Shikui Tu

78 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shikui Tu China	21	1.2k	565	229	205	145	87	1.7k
James Brown United Kingdom	24	884 0.7×	113 0.2×	43 0.2×	26 0.1×	167 1.2×	60	1.6k
Wenjie Shu China	21	1.2k 1.0×	79 0.1×	48 0.2×	24 0.1×	231 1.6×	52	1.7k
Kenko Uchida Japan	20	689 0.6×	460 0.8×	62 0.3×	13 0.1×	35 0.2×	168	1.8k
Deli Zhang China	25	668 0.6×	83 0.1×	127 0.6×	26 0.1×	51 0.4×	110	1.7k
Zhiping Tan China	21	487 0.4×	163 0.3×	100 0.4×	16 0.1×	82 0.6×	109	1.2k
P. K. Vinod India	22	754 0.6×	89 0.2×	209 0.9×	11 0.1×	73 0.5×	67	1.6k
Faraz Faghri United States	15	810 0.7×	53 0.1×	28 0.1×	25 0.1×	120 0.8×	27	1.8k
Juntao Li China	22	848 0.7×	56 0.1×	57 0.2×	14 0.1×	253 1.7×	152	1.7k

Countries citing papers authored by Shikui Tu

Since Specialization

Citations

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

Fields of papers citing papers by Shikui Tu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shikui Tu

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

Rao, D. C., Dengfeng Li, Lili Li, et al.. (2025). Argonaute CSR-1A promotes H3K9me3 maintenance to protect somatic development in offspring. Nucleic Acids Research. 53(5). 1 indexed citations

Li, Lili, Xiaoyin Tang, Xuanxuan Guo, et al.. (2025). Spatiotemporal single-cell architecture of gene expression in the Caenorhabditis elegans germ cells. Cell Discovery. 11(1). 26–26.

Su, Ruidan, et al.. (2024). A Deep Reinforcement Learning Approach for Portfolio Management in Non‐Short‐Selling Market. IET Signal Processing. 2024(1). 3 indexed citations

Tu, Shikui, et al.. (2024). Multilevel Attention Network with Semi-supervised Domain Adaptation for Drug-Target Prediction. Proceedings of the AAAI Conference on Artificial Intelligence. 38(1). 329–337. 3 indexed citations

Zhou, Jiafeng, et al.. (2023). A deep-learning method for the end-to-end prediction of intracranial aneurysm rupture risk. Patterns. 4(4). 100709–100709. 11 indexed citations

Ren, Yun, et al.. (2023). A Deep Learning Method with Multi-view Attention and Multi-branch GCN for BECT Diagnosis. 1718–1723. 2 indexed citations

Tu, Shikui, et al.. (2023). Linking Sketch Patches by Learning Synonymous Proximity for Graphic Sketch Representation. Proceedings of the AAAI Conference on Artificial Intelligence. 37(9). 11096–11103. 3 indexed citations

Chen, Wenjun, Jordan Brown, Tao He, et al.. (2022). GLH/VASA helicases promote germ granule formation to ensure the fidelity of piRNA-mediated transcriptome surveillance. Nature Communications. 13(1). 5306–5306. 15 indexed citations

Sun, Yanan, et al.. (2022). MSLM-RF: A Spatial Feature Enhanced Random Forest for On-Board Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–17. 9 indexed citations

10.

Tu, Shikui, et al.. (2022). Deep Rival Penalized Competitive Learning for low-resolution face recognition. Neural Networks. 148. 183–193. 16 indexed citations

11.

Zhang, Donglei, et al.. (2018). The piRNA targeting rules and the resistance to piRNA silencing in endogenous genes. Science. 359(6375). 587–592. 172 indexed citations

12.

Wu, Wei-Sheng, et al.. (2018). piRTarBase: a database of piRNA targeting sites and their roles in gene regulation. Nucleic Acids Research. 47(D1). D181–D187. 48 indexed citations

13.

Wu, Wei-Sheng, Jordan Brown, Donglei Zhang, et al.. (2018). pirScan: a webserver to predict piRNA targeting sites and to avoid transgene silencing in C. elegans. Nucleic Acids Research. 46(W1). W43–W48. 36 indexed citations

14.

Tang, Wen, Meetu Seth, Shikui Tu, et al.. (2018). A Sex Chromosome piRNA Promotes Robust Dosage Compensation and Sex Determination in C. elegans. Developmental Cell. 44(6). 762–770.e3. 34 indexed citations

15.

Seth, Meetu, Masaki Shirayama, Wen Tang, et al.. (2018). The Coding Regions of Germline mRNAs Confer Sensitivity to Argonaute Regulation in C. elegans. Cell Reports. 22(9). 2254–2264. 34 indexed citations

16.

Zhang, Wen, Xiang Yue, Feng Liu, et al.. (2017). A unified frame of predicting side effects of drugs by using linear neighborhood similarity. BMC Systems Biology. 11(S6). 101–101. 54 indexed citations

17.

Zhang, Wen, et al.. (2016). Drug side effect prediction through linear neighborhoods and multiple data source integration. 427–434. 63 indexed citations

18.

Tang, Wen, Shikui Tu, Heng-Chi Lee, Zhiping Weng, & Craig C. Mello. (2016). The RNase PARN-1 Trims piRNA 3′ Ends to Promote Transcriptome Surveillance in C. elegans. Cell. 164(5). 974–984. 105 indexed citations

19.

Zhang, Zhao, Jie Wang, Fan Zhang, et al.. (2014). The HP1 Homolog Rhino Anchors a Nuclear Complex that Suppresses piRNA Precursor Splicing. Cell. 157(6). 1353–1363. 169 indexed citations

20.

Tu, Shikui, Runsheng Chen, & Lei Xu. (2011). A binary matrix factorization algorithm for protein complex prediction. Proteome Science. 9(S1). S18–S18. 8 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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