Ke Zuo

458 total citations
24 papers, 256 citations indexed

About

Ke Zuo is a scholar working on Artificial Intelligence, Molecular Biology and Oncology. According to data from OpenAlex, Ke Zuo has authored 24 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 6 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Ke Zuo's work include AI in cancer detection (6 papers), Cutaneous Melanoma Detection and Management (5 papers) and Gene Regulatory Network Analysis (4 papers). Ke Zuo is often cited by papers focused on AI in cancer detection (6 papers), Cutaneous Melanoma Detection and Management (5 papers) and Gene Regulatory Network Analysis (4 papers). Ke Zuo collaborates with scholars based in China, Australia and Czechia. Ke Zuo's co-authors include Zhengbin Pang, Xiangdong Pei, Yuan Li, Xia Zhao, Guoping Wang, Shiying Zhang, Yaqi Duan, Canqun Yang, Ying Wang and Dong Chen and has published in prestigious journals such as Scientific Reports, Journal of Investigative Dermatology and BMC Bioinformatics.

In The Last Decade

Ke Zuo

23 papers receiving 250 citations

Peers

Ke Zuo
Bingqiang Wang China
Omar Hamdan Jordan
Miki Tanaka Japan
Mohamed Marouf Egypt
Jack Liu United States
Chatchawit Aporntewan Thailand
Hao Dai China
Tiancheng Xie China
Chengbin Hu China
Bingqiang Wang China
Ke Zuo
Citations per year, relative to Ke Zuo Ke Zuo (= 1×) peers Bingqiang Wang

Countries citing papers authored by Ke Zuo

Since Specialization
Citations

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

Fields of papers citing papers by Ke Zuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ke Zuo

This figure shows the co-authorship network connecting the top 25 collaborators of Ke Zuo. A scholar is included among the top collaborators of Ke Zuo 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 Ke Zuo. Ke Zuo 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.
2.
Pang, Zhengbin, et al.. (2023). Gene Regulatory Network Inference Using Convolutional Neural Networks from scRNA-seq Data. Journal of Computational Biology. 30(5). 619–631. 10 indexed citations
3.
Pang, Zhengbin, Ke Zuo, Qinglin Wang, et al.. (2023). Predicting gene regulatory links from single-cell RNA-seq data using graph neural networks. Briefings in Bioinformatics. 24(6). 32 indexed citations
4.
Pei, Xiangdong, Ke Zuo, Yuan Li, & Zhengbin Pang. (2023). A Review of the Application of Multi-modal Deep Learning in Medicine: Bibliometrics and Future Directions. International Journal of Computational Intelligence Systems. 16(1). 34 indexed citations
5.
6.
Zhu, Yongwei, Dongdong Zhan, Meng Wang, et al.. (2022). The Association of R-Loop Binding Proteins Subtypes with CIN Implicates Therapeutic Strategies in Colorectal Cancer. Cancers. 14(22). 5607–5607. 3 indexed citations
7.
Peng, Jintao, et al.. (2022). Reconstructing gene regulatory networks of biological function using differential equations of multilayer perceptrons. BMC Bioinformatics. 23(1). 503–503. 9 indexed citations
8.
Pang, Zhengbin, et al.. (2022). A neuro-genetic approach for inferring gene regulatory networks from gene expression data. 1–5. 1 indexed citations
9.
Huang, Kai, Zixi Jiang, Yixin Li, et al.. (2021). The Classification of Six Common Skin Diseases Based on Xiangya-Derm: Development of a Chinese Database for Artificial Intelligence. Journal of Medical Internet Research. 23(9). e26025–e26025. 22 indexed citations
10.
Xie, Peizhen, Tao Li, Fangfang Li, et al.. (2021). Automated Diagnosis of Melanoma Histopathological Images Based on Deep Learning Using Trust Counting Method. 26–29. 1 indexed citations
11.
Xie, Peizhen, Tao Li, Jie Liu, et al.. (2021). Analyze Skin Histopathology Images Using Multiple Deep Learning Methods. 374–377. 4 indexed citations
12.
Xie, Peizhen, Tao Li, Fangfang Li, et al.. (2021). Multi-scale Convolutional Neural Network for Melanoma Histopathology Image Classification. 551–554. 5 indexed citations
13.
Dong, Bin, Songlei Jian, & Ke Zuo. (2020). CDE++: Learning Categorical Data Embedding by Enhancing Heterogeneous Feature Value Coupling Relationships. Entropy. 22(4). 391–391. 1 indexed citations
14.
Zuo, Ke, Zhiyou He, Xiang Chen, et al.. (2020). Real-time burn depth assessment using artificial networks: a large-scale, multicentre study. Burns. 46(8). 1829–1838. 28 indexed citations
15.
Zhao, Shuang, et al.. (2019). 828 Dermatopathologist-level classification of skin cancer with deep neural networks at multi-magnification. Journal of Investigative Dermatology. 139(5). S143–S143. 2 indexed citations
16.
Chen, Dong, Ke Zuo, Ying Wang, et al.. (2015). Crosstalk between SDF-1/CXCR4 and SDF-1/CXCR7 in cardiac stem cell migration. Scientific Reports. 5(1). 16813–16813. 58 indexed citations
17.
Wang, Feng, et al.. (2015). Design and Implementation of a Highly Efficient DGEMM for 64-Bit ARMv8 Multi-core Processors. UNSWorks (UNSW Sydney). 200–209. 17 indexed citations
18.
Zhang, X., et al.. (2014). Fast near-infrared palmprint recognition using nonnegative matrix factorization extreme learning machine. Optica Applicata. 44. 7 indexed citations
19.
Wang, Xiang, Rui Guo, Jizhong Liu, et al.. (2008). A Novel Alternative Weighted Fuzzy C-Means Algorithm and Cluster Validity Analysis. 130–134. 1 indexed citations
20.
Zuo, Ke, et al.. (2008). An Efficient Clustering Scheme in Mobile Peer-to-Peer Networks. 1–5. 2 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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