Kai Shi

535 total citations
34 papers, 334 citations indexed

About

Kai Shi is a scholar working on Molecular Biology, Artificial Intelligence and Biophysics. According to data from OpenAlex, Kai Shi has authored 34 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Artificial Intelligence and 4 papers in Biophysics. Recurrent topics in Kai Shi's work include Bioinformatics and Genomic Networks (7 papers), Gene expression and cancer classification (6 papers) and Gut microbiota and health (5 papers). Kai Shi is often cited by papers focused on Bioinformatics and Genomic Networks (7 papers), Gene expression and cancer classification (6 papers) and Gut microbiota and health (5 papers). Kai Shi collaborates with scholars based in China, United Kingdom and Romania. Kai Shi's co-authors include Lin Gao, Bingbo Wang, Huazhou Chen, Dan Wang, Valentina Emilia Bălaş, Nilanjan Dey, Fuqian Shi, Amira S. Ashour, Zairan Li and Pamela McCauley and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Kai Shi

30 papers receiving 325 citations

Peers

Kai Shi

CVPR

Fenghua Huang China

Zheming Yuan China

Sabine Verboven Belgium

Mogeeb A. A. Mosleh Yemen

Fábio Fabris United Kingdom

Jialin Dong China

Juha Reunanen Finland

Jingyi Zheng United States

Donghoh Kim South Korea

Fenghua Huang China

Kai Shi

68 ×0.7

28 ×0.5

64 ×1.5

39 ×1.1

43 ×1.4

CVPR

Citations per year, relative to Kai Shi Kai Shi (= 1×) peers Fenghua Huang

Countries citing papers authored by Kai Shi

Since Specialization

Citations

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

Fields of papers citing papers by Kai Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Shi

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

Shi, Kai, et al.. (2025). BGMDB: A curated database linking gut microbiota dysbiosis to brain disorders. Computational and Structural Biotechnology Journal. 27. 879–886. 1 indexed citations

Liu, Tingyu, et al.. (2025). Potential of some lactic acid bacteria inoculants in the bioremediation of cyanogenic glycosides in sorghum straw silage. Chemical and Biological Technologies in Agriculture. 12(1).

Bao, Rui‐Ying, et al.. (2024). Effect of enzyme preparation and extrusion puffing treatment on sorghum straw silage fermentation. Scientific Reports. 14(1). 25237–25237. 6 indexed citations

Shi, Kai, et al.. (2024). MicroHDF: predicting host phenotypes with metagenomic data using a deep forest-based framework. Briefings in Bioinformatics. 25(6). 3 indexed citations

Yi, Huaian, et al.. (2024). A visual measurement method for grinding surface roughness combining filter and branch convolution network. Nondestructive Testing And Evaluation. 40(7). 3191–3207. 1 indexed citations

Shi, Kai, et al.. (2024). Combating regional air pollution significantly enhance the photodegradation of atmospheric benzo(a)pyrene. The Science of The Total Environment. 957. 177849–177849.

Shi, Kai, et al.. (2024). Predicting microbe–disease association based on graph autoencoder and inductive matrix completion with multi-similarities fusion. Frontiers in Microbiology. 15. 1438942–1438942. 2 indexed citations

Li, Youping, et al.. (2023). Response of cross-correlations between high PM2.5 and O3 with increasing time scales to the COVID-19: different trends in BTH and PRD. Environmental Monitoring and Assessment. 195(5). 609–609. 2 indexed citations

Shi, Kai, Lin Li, Zhengfeng Wang, et al.. (2023). Identifying microbe-disease association based on graph convolutional attention network: Case study of liver cirrhosis and epilepsy. Frontiers in Neuroscience. 16. 1124315–1124315. 9 indexed citations

10.

Shi, Kai, et al.. (2022). Predicting Microbe-Disease Associations via Multiple Layer Graph Convolutional Network and Attention Mechanism. 59–65. 1 indexed citations

11.

Liu, Chunqiong, et al.. (2022). Fractal analysis of impact of PM2.5 on surface O3 sensitivity regime based on field observations. The Science of The Total Environment. 858(Pt 3). 160136–160136. 31 indexed citations

12.

Chen, Fengrong, Xu Yu, Kai Shi, et al.. (2022). Multi-omics study reveals associations among neurotransmitter, extracellular vesicle-derived microRNA and psychiatric comorbidities during heroin and methamphetamine withdrawal. Biomedicine & Pharmacotherapy. 155. 113685–113685. 16 indexed citations

13.

Shi, Kai, et al.. (2021). Dollar’s Influence on Crude Oil and Gold Based on MF-DPCCA Method. Discrete Dynamics in Nature and Society. 2021. 1–10. 1 indexed citations

14.

Chen, Zilin, Kai Shi, Xin Liu, et al.. (2021). Gut Microbial Profile Is Associated With the Severity of Social Impairment and IQ Performance in Children With Autism Spectrum Disorder. Frontiers in Psychiatry. 12. 789864–789864. 22 indexed citations

15.

Shi, Kai, Wei Lin, & Xing‐Ming Zhao. (2020). Identifying Molecular Biomarkers for Diseases With Machine Learning Based on Integrative Omics. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18(6). 2514–2525. 27 indexed citations

16.

Wang, Bin, et al.. (2020). Crosscorrelation Analysis between P2P Lending Market and Stock Market in China. Mathematical Problems in Engineering. 2020. 1–9. 2 indexed citations

17.

Li, Zairan, Nilanjan Dey, Amira S. Ashour, et al.. (2017). Convolutional Neural Network Based Clustering and Manifold Learning Method for Diabetic Plantar Pressure Imaging Dataset. Journal of Medical Imaging and Health Informatics. 7(3). 639–652. 30 indexed citations

18.

Shi, Kai, Lin Gao, & Bingbo Wang. (2016). Discovering potential cancer driver genes by an integrated network-based approach. Molecular BioSystems. 12(9). 2921–2931. 29 indexed citations

19.

Hu, Yuxuan, Lin Gao, Kai Shi, & David Chiu. (2013). Detection of Deregulated Modules Using Deregulatory Linked Path. PLoS ONE. 8(7). e70412–e70412. 3 indexed citations

20.

Shi, Kai. (2006). Ant colony algorithm for allied vehicle routing problems with soft time windows. Computer Integrated Manufacturing Systems.

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.

Explore authors with similar magnitude of impact