Zhenkun Shi

441 total citations
23 papers, 266 citations indexed

About

Zhenkun Shi is a scholar working on Molecular Biology, Artificial Intelligence and Information Systems. According to data from OpenAlex, Zhenkun Shi has authored 23 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Artificial Intelligence and 4 papers in Information Systems. Recurrent topics in Zhenkun Shi's work include Microbial Metabolic Engineering and Bioproduction (6 papers), Recommender Systems and Techniques (4 papers) and Advanced Graph Neural Networks (4 papers). Zhenkun Shi is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (6 papers), Recommender Systems and Techniques (4 papers) and Advanced Graph Neural Networks (4 papers). Zhenkun Shi collaborates with scholars based in China, Australia and South Korea. Zhenkun Shi's co-authors include Wanli Zuo, Lin Yue, Yuwen Li, Yaojin Lin, Xue Li, Jinghua Liu, Wei Weng, Shunxiang Wu, Hongwu Ma and Zhitao Mao and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and International Journal of Molecular Sciences.

In The Last Decade

Zhenkun Shi

22 papers receiving 262 citations

Peers

Zhenkun Shi

CTM

CVPR

Lopamudra Dey India

Milad Salem United States

Olufemi Aromolaran Nigeria

Brett Poulin Canada

Swati Swayamsiddha India

Meena Nagarajan India

Julian Matschinske Germany

Swarup Roy India

Miguel García-Remesal Spain

Praveen Rao United States

Lopamudra Dey India

Zhenkun Shi

209 ×1.8

91 ×1.1

85 ×1.2

46 ×1.0

CTM

18 ×0.6

CVPR

Citations per year, relative to Zhenkun Shi Zhenkun Shi (= 1×) peers Lopamudra Dey

Countries citing papers authored by Zhenkun Shi

Since Specialization

Citations

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

Fields of papers citing papers by Zhenkun Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenkun Shi

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

Liu, Shuo, Zhenkun Shi, Rong Huang, et al.. (2025). DeepCodon: A deep learning codon-optimization model to enhance protein expression. 7(4). 100042–100042. 2 indexed citations

Zhang, Yijia, et al.. (2025). DMR: disentangled and denoised learning for multi-behavior recommendation. Complex & Intelligent Systems. 11(2).

Li, Song, Lei Xu, Shuying Li, et al.. (2025). A Dual‐Targeting T6SS DNase Drives Bacterial Antagonism and Eukaryotic Apoptosis via the cGAS‐STING‐TNF Axis. Advanced Science. 12(28). e2504086–e2504086. 1 indexed citations

Shi, Zhenkun, Yang Li, Cui Liu, et al.. (2024). REME: an integrated platform for reaction enzyme mining and evaluation. Nucleic Acids Research. 52(W1). W299–W305. 5 indexed citations

Wu, Ke, Yuanyuan Huang, Yang Li, et al.. (2024). DeepSub: Utilizing Deep Learning for Predicting the Number of Subunits in Homo-Oligomeric Protein Complexes. International Journal of Molecular Sciences. 25(9). 4803–4803. 1 indexed citations

Huang, Yuanyuan, Zhitao Mao, Yue Zhang, et al.. (2024). Omics data analysis reveals the system-level constraint on cellular amino acid composition. Synthetic and Systems Biotechnology. 9(2). 304–311. 2 indexed citations

Li, Song, Lei Xu, Zhenkun Shi, et al.. (2024). Trojan horselike T6SS effector TepC mediates both interference competition and exploitative competition. The ISME Journal. 18(1). 12 indexed citations

Shi, Zhenkun, et al.. (2023). Dual-core mutual learning between scoring systems and clinical features for ICU mortality prediction. Information Sciences. 637. 118984–118984. 3 indexed citations

Yuan, Qianqian, Fan Wei, Zhenkun Shi, et al.. (2023). Reconstruction and metabolic profiling of the genome-scale metabolic network model of Pseudomonas stutzeri A1501. Synthetic and Systems Biotechnology. 8(4). 688–696. 1 indexed citations

10.

Shi, Zhenkun, Rui Deng, Qianqian Yuan, et al.. (2023). Enzyme Commission Number Prediction and Benchmarking with Hierarchical Dual-core Multitask Learning Framework. Research. 6. 153–153. 25 indexed citations

11.

Yang, Yi, Yufeng Mao, Ruoyu Wang, et al.. (2022). AutoESD: a web tool for automatic editing sequence design for genetic manipulation of microorganisms. Nucleic Acids Research. 50(W1). W75–W82. 1 indexed citations

12.

Gu, Huawei, Ruirui Liu, Zhenkun Shi, et al.. (2022). Small protein Cgl2215 enhances phenolic tolerance by promoting MytA activity in Corynebacterium glutamicum. SHILAP Revista de lepidopterología. 2(1). 49–49. 1 indexed citations

13.

Shi, Zhenkun, Pi Liu, Xiaoping Liao, et al.. (2022). Data-Driven Synthetic Cell Factories Development for Industrial Biomanufacturing. SHILAP Revista de lepidopterología. 2022. 9898461–9898461. 12 indexed citations

14.

Xu, Lei, Mengyuan Li, Chen Zhang, et al.. (2022). Salmonella Induces the cGAS-STING-Dependent Type I Interferon Response in Murine Macrophages by Triggering mtDNA Release. mBio. 13(3). e0363221–e0363221. 40 indexed citations

15.

Zuo, Wanli, et al.. (2022). Integrating reviews and ratings into graph neural networks for rating prediction. Journal of Ambient Intelligence and Humanized Computing. 14(7). 8703–8723. 8 indexed citations

16.

Zuo, Wanli, et al.. (2022). A multi-level neural network for implicit causality detection in web texts. Neurocomputing. 481. 121–132. 5 indexed citations

17.

Shi, Zhenkun, et al.. (2021). Deep dynamic imputation of clinical time series for mortality prediction. Information Sciences. 579. 607–622. 18 indexed citations

18.

Shi, Zhenkun, et al.. (2020). IDDSAM: An Integrated Disease Diagnosis and Severity Assessment Model for Intensive Care Units. IEEE Access. 8. 15423–15435. 6 indexed citations

19.

Shi, Zhenkun, et al.. (2019). Joint Personalized Markov Chains with social network embedding for cold-start recommendation. Neurocomputing. 386. 208–220. 37 indexed citations

20.

Shi, Zhenkun, et al.. (2017). User Relation Prediction Based on Matrix Factorization and Hybrid Particle Swarm Optimization. 1335–1341. 6 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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