Min Zhu

1.4k total citations
101 papers, 771 citations indexed

About

Min Zhu is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Min Zhu has authored 101 papers receiving a total of 771 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 20 papers in Computer Vision and Pattern Recognition and 15 papers in Artificial Intelligence. Recurrent topics in Min Zhu's work include Data Visualization and Analytics (13 papers), Genomics and Chromatin Dynamics (7 papers) and RNA and protein synthesis mechanisms (6 papers). Min Zhu is often cited by papers focused on Data Visualization and Analytics (13 papers), Genomics and Chromatin Dynamics (7 papers) and RNA and protein synthesis mechanisms (6 papers). Min Zhu collaborates with scholars based in China, United States and Australia. Min Zhu's co-authors include Junqiang Song, Huaqing Wang, Haibo Du, Tian Tian, Yongqing Zhang, Yingying Cheng, Di Wu, Fukang Yin, Yong Wang and Xiaoyu Zhu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Min Zhu

90 papers receiving 738 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Min Zhu China 15 176 149 96 95 73 101 771
Xiaoyan Zhang China 15 115 0.7× 277 1.9× 126 1.3× 27 0.3× 66 0.9× 88 1.0k
Kejia Chen China 14 120 0.7× 118 0.8× 239 2.5× 38 0.4× 69 0.9× 67 928
Qingyi Chen China 16 70 0.4× 66 0.4× 146 1.5× 57 0.6× 18 0.2× 73 663
Cliff Joslyn United States 13 163 0.9× 40 0.3× 247 2.6× 73 0.8× 49 0.7× 74 1.0k
Arnab Sinha United States 10 64 0.4× 121 0.8× 339 3.5× 41 0.4× 164 2.2× 35 768
Christian Posse United States 17 59 0.3× 135 0.9× 255 2.7× 62 0.7× 161 2.2× 39 792
Roman Kern Austria 19 103 0.6× 123 0.8× 523 5.4× 49 0.5× 231 3.2× 130 1.3k
William Guo Australia 16 87 0.5× 80 0.5× 183 1.9× 128 1.3× 83 1.1× 82 1.1k

Countries citing papers authored by Min Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Min Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Min Zhu. A scholar is included among the top collaborators of Min Zhu 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 Min Zhu. Min Zhu 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.
Zhu, Min, et al.. (2025). An Overview on Formation of Radiation-Induced Interface Traps in Silicon-Based Devices. Micromachines. 16(11). 1278–1278.
2.
Li, Linjing, Bo Yuan, Min Zhu, et al.. (2024). Segmentation of Lung Lesions through Bilateral Learning Branches to Aggregating Contextual and Local Characteristics. International Journal of Computational Intelligence Systems. 17(1). 1 indexed citations
3.
Yang, Yong, et al.. (2023). LatLRR-CNN: an infrared and visible image fusion method combining latent low-rank representation and CNN. Multimedia Tools and Applications. 82(23). 36303–36323. 7 indexed citations
4.
5.
Li, Pengyuan, et al.. (2023). WarehouseLens: visualizing and exploring turnover events of digital warehouse. Journal of Visualization. 26(4). 977–998. 2 indexed citations
6.
Zhu, Min, et al.. (2023). Surface and Underwater Acoustic Source Recognition Using Multi-Channel Joint Detection Method Based on Machine Learning. Journal of Marine Science and Engineering. 11(8). 1587–1587. 6 indexed citations
7.
Chen, Liping, et al.. (2023). Fractional-Order Zener Model with Temperature-Order Equivalence for Viscoelastic Dampers. Fractal and Fractional. 7(10). 714–714. 6 indexed citations
8.
Zhang, Xinyi, et al.. (2022). TriPlan: an interactive visual analytics approach for better tourism route planning. Journal of Visualization. 26(1). 231–248. 7 indexed citations
9.
Li, Yizhou, et al.. (2021). SBTD: A Novel Method for Detecting Topological Associated Domains from Hi-C Data. Interdisciplinary Sciences Computational Life Sciences. 13(4). 638–651. 2 indexed citations
10.
Hu, Zhengliang, et al.. (2021). An optimized laser ultrasonic synthetic aperture imaging method using differential technique. Modern Physics Letters B. 35(20). 2150345–2150345. 2 indexed citations
11.
He, Yubing, Min Zhu, Junhua Wu, et al.. (2020). Repurposing of Anthocyanin Biosynthesis for Plant Transformation and Genome Editing. SHILAP Revista de lepidopterología. 2. 607982–607982. 20 indexed citations
12.
Zhang, Yongqing, et al.. (2020). Review of the Applications of Deep Learning in Bioinformatics. Current Bioinformatics. 15(8). 898–911. 44 indexed citations
13.
Zhu, Xiaoyu, et al.. (2018). An Evaporation Duct Height Prediction Method Based on Deep Learning. IEEE Geoscience and Remote Sensing Letters. 15(9). 1307–1311. 38 indexed citations
14.
Wu, Di, Yingying Cheng, Haibo Du, Wenwu Zhu, & Min Zhu. (2018). Finite-time output feedback tracking control for a nonholonomic wheeled mobile robot. Aerospace Science and Technology. 78. 574–579. 30 indexed citations
15.
Zhu, Xiaoyu, et al.. (2018). An Optimization Research of Evaporation Duct Prediction Models Based on a Deep Learning Method. 1818–1822. 6 indexed citations
16.
Zhu, Yu, et al.. (2018). Research on folding diversity in statistical learning methods for RNA secondary structure prediction. International Journal of Biological Sciences. 14(8). 872–882. 6 indexed citations
17.
Zhu, Min, Liping Ding, Jun Yang, & Jing Shuai. (2017). What is the Green Performance of Civil Buildings? - An Empirical Study on China’s Double-Certified Green Building Projects. International Energy Journal. 17(2). 1 indexed citations
18.
Deng, Kefeng, Kaijun Ren, Min Zhu, & Junqiang Song. (2015). A Data and Task Co-Scheduling Algorithm for Scientific Cloud Workflows. IEEE Transactions on Cloud Computing. 8(2). 349–362. 21 indexed citations
19.
Zhu, Min, et al.. (2014). A hybrid method for identification of structural domains. Scientific Reports. 4(1). 7476–7476. 1 indexed citations
20.
Zhang, Yongqing, et al.. (2012). Using ensemble methods to deal with imbalanced data in predicting protein–protein interactions. Computational Biology and Chemistry. 36. 36–41. 32 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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