Kun Zhang

3.0k total citations
114 papers, 1.9k citations indexed

About

Kun Zhang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Kun Zhang has authored 114 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 36 papers in Pulmonary and Respiratory Medicine and 24 papers in Artificial Intelligence. Recurrent topics in Kun Zhang's work include Prostate Cancer Treatment and Research (14 papers), Bioinformatics and Genomic Networks (13 papers) and Functional Brain Connectivity Studies (9 papers). Kun Zhang is often cited by papers focused on Prostate Cancer Treatment and Research (14 papers), Bioinformatics and Genomic Networks (13 papers) and Functional Brain Connectivity Studies (9 papers). Kun Zhang collaborates with scholars based in United States, China and Australia. Kun Zhang's co-authors include Min-Ling Zhang, Suyu Mei, Andrea Edwards, Aapo Hyvärinen, Shohei Shimizu, Patrik O. Hoyer, Wei Fan, Erik K. Flemington, Wensheng Zhang and Zhong Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Kun Zhang

109 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kun Zhang United States 22 647 559 296 198 187 114 1.9k
José M. Jerez Spain 22 718 1.1× 351 0.6× 82 0.3× 189 1.0× 140 0.7× 71 1.9k
Nguyen Quoc Khanh Le Taiwan 43 611 0.9× 2.0k 3.5× 413 1.4× 291 1.5× 57 0.3× 151 3.9k
Saurav Mallik India 27 447 0.7× 832 1.5× 102 0.3× 289 1.5× 37 0.2× 188 2.1k
Anubha Gupta India 27 473 0.7× 352 0.6× 176 0.6× 93 0.5× 431 2.3× 188 3.1k
Pierangelo Veltri Italy 23 629 1.0× 581 1.0× 84 0.3× 50 0.3× 68 0.4× 237 2.2k
Abubakar Abid United States 12 808 1.2× 569 1.0× 81 0.3× 129 0.7× 44 0.2× 22 2.0k
Wenbin Liu China 27 536 0.8× 828 1.5× 75 0.3× 375 1.9× 38 0.2× 147 2.4k
Yi‐Hua Liao Taiwan 24 608 0.9× 540 1.0× 100 0.3× 139 0.7× 26 0.1× 114 2.7k
Jingjing Gao China 21 241 0.4× 386 0.7× 244 0.8× 456 2.3× 205 1.1× 99 1.8k
Huan Gui China 20 395 0.6× 450 0.8× 73 0.2× 219 1.1× 83 0.4× 48 1.5k

Countries citing papers authored by Kun Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Kun Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Zhang. A scholar is included among the top collaborators of Kun Zhang 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 Kun Zhang. Kun Zhang 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.
Li, Bei, et al.. (2024). Effect of Drug-Coated Balloon Versus Stent Angioplasty in Patients With Symptomatic Intracranial Atherosclerotic Stenosis. Operative Neurosurgery. 27(6). 730–738. 2 indexed citations
2.
Skripnikova, Elena, et al.. (2023). Endogenous expression of inactive lysine deacetylases reveals deacetylation-dependent cellular mechanisms. PLoS ONE. 18(9). e0291779–e0291779. 1 indexed citations
3.
Qu, Gang, Gemeng Zhang, Li Xiao, et al.. (2023). Interpretable Cognitive Ability Prediction: A Comprehensive Gated Graph Transformer Framework for Analyzing Functional Brain Networks. IEEE Transactions on Medical Imaging. 43(4). 1568–1578. 6 indexed citations
4.
5.
Wu, Sinan, Ke Huang, Chenli Chang, et al.. (2023). Serum Proteomic Profiling in Patients with Chronic Obstructive Pulmonary Disease. International Journal of COPD. Volume 18. 1623–1635. 5 indexed citations
6.
Chen, Zhong, Victor S. Sheng, Andrea Edwards, & Kun Zhang. (2023). Cost-sensitive sparse group online learning for imbalanced data streams. Machine Learning. 113(7). 4407–4444. 5 indexed citations
7.
Zhang, Kun, et al.. (2023). Simplex2vec Backward: From Vectors Back to Simplicial Complex. ThinkTech (Texas Tech University). 4405–4409. 1 indexed citations
8.
Chen, Zhong, Victor S. Sheng, Andrea Edwards, & Kun Zhang. (2022). An effective cost-sensitive sparse online learning framework for imbalanced streaming data classification and its application to online anomaly detection. Knowledge and Information Systems. 65(1). 59–87. 11 indexed citations
9.
Dong, Yan, et al.. (2022). Deciphering the Increased Prevalence of TP53 Mutations in Metastatic Prostate Cancer. Cancer Informatics. 21. 2663713606–2663713606. 7 indexed citations
10.
Zhang, Wensheng, Yan Dong, Oliver Sartor, & Kun Zhang. (2021). Comprehensive Analysis of Multiple Cohort Datasets Deciphers the Utility of Germline Single-Nucleotide Polymorphisms in Prostate Cancer Diagnosis. Cancer Prevention Research. 14(7). 741–752. 2 indexed citations
11.
Qu, Gang, Wenxing Hu, Li Xiao, et al.. (2021). Brain Functional Connectivity Analysis via Graphical Deep Learning. IEEE Transactions on Biomedical Engineering. 69(5). 1696–1706. 20 indexed citations
12.
Qu, Gang, Li Xiao, Wenxing Hu, et al.. (2021). Ensemble Manifold Regularized Multi-Modal Graph Convolutional Network for Cognitive Ability Prediction. IEEE Transactions on Biomedical Engineering. 68(12). 3564–3573. 35 indexed citations
13.
Chen, Zhong, Bo Cao, Andrea Edwards, Hong‐Wen Deng, & Kun Zhang. (2021). A deep imputation and inference framework for estimating personalized and race-specific causal effects of genomic alterations on PSA. Journal of Bioinformatics and Computational Biology. 19(4). 2150016–2150016. 4 indexed citations
14.
Chen, Zhong, Zhide Fang, Victor S. Sheng, et al.. (2021). Adaptive robust local online density estimation for streaming data. International Journal of Machine Learning and Cybernetics. 12(6). 1803–1824. 7 indexed citations
15.
Zhang, Wensheng, Yan Dong, & Kun Zhang. (2020). Gene expression analysis reveals a pitfall in the molecular research of prostate tumors relevant to Gleason score. Journal of Bioinformatics and Computational Biology. 18(5). 2050032–2050032. 2 indexed citations
16.
Mei, Suyu & Kun Zhang. (2019). A Multi-Label Learning Framework for Drug Repurposing. Pharmaceutics. 11(9). 466–466. 15 indexed citations
17.
Mei, Suyu & Kun Zhang. (2019). Neglog: Homology-Based Negative Data Sampling Method for Genome-Scale Reconstruction of Human Protein–Protein Interaction Networks. International Journal of Molecular Sciences. 20(20). 5075–5075. 8 indexed citations
18.
Sánchez-Romero, Rubén, Joseph Ramsey, Kun Zhang, et al.. (2018). Estimating feedforward and feedback effective connections from fMRI time series: Assessments of statistical methods. Network Neuroscience. 3(2). 274–306. 49 indexed citations
19.
Hyvärinen, Aapo, Kun Zhang, Shohei Shimizu, & Patrik O. Hoyer. (2010). Estimation of a Structural Vector Autoregression Model Using Non-Gaussianity. Journal of Machine Learning Research. 11(56). 1709–1731. 168 indexed citations
20.
Zhong, Erheng, Sihong Xie, Wei Fan, et al.. (2008). Graph-Based Iterative Hybrid Feature Selection. 1133–1138. 7 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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