Deyu Zhou

2.7k total citations
115 papers, 1.7k citations indexed

About

Deyu Zhou is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Deyu Zhou has authored 115 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Artificial Intelligence, 19 papers in Molecular Biology and 15 papers in Information Systems. Recurrent topics in Deyu Zhou's work include Topic Modeling (57 papers), Advanced Text Analysis Techniques (31 papers) and Sentiment Analysis and Opinion Mining (23 papers). Deyu Zhou is often cited by papers focused on Topic Modeling (57 papers), Advanced Text Analysis Techniques (31 papers) and Sentiment Analysis and Opinion Mining (23 papers). Deyu Zhou collaborates with scholars based in China, United Kingdom and United States. Deyu Zhou's co-authors include Yulan He, Rui Wang, Paul R. Prucnal, Ivan Glesk, Linhai Zhang, Xuan Zhang, Xin Geng, Lei Miao, Liangyu Chen and Lin Gui and has published in prestigious journals such as Bioinformatics, PLoS ONE and Expert Systems with Applications.

In The Last Decade

Deyu Zhou

99 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deyu Zhou China 22 1.1k 322 164 152 151 115 1.7k
Jiezhong Qiu China 12 714 0.7× 101 0.3× 179 1.1× 185 1.2× 59 0.4× 22 1.2k
Yuchen Li China 22 679 0.6× 108 0.3× 280 1.7× 324 2.1× 67 0.4× 137 1.9k
David Israël United States 21 1.3k 1.2× 59 0.2× 236 1.4× 108 0.7× 165 1.1× 99 2.0k
Mikkel N. Schmidt Denmark 20 505 0.5× 119 0.4× 33 0.2× 157 1.0× 231 1.5× 82 1.7k
Dominik Janzing Germany 27 2.1k 1.9× 233 0.7× 87 0.5× 124 0.8× 46 0.3× 94 2.8k
Jun Gao China 20 740 0.7× 57 0.2× 219 1.3× 349 2.3× 142 0.9× 144 1.4k
Ray J. Solomonoff United States 12 1.3k 1.2× 266 0.8× 69 0.4× 102 0.7× 28 0.2× 20 2.2k
Justin Ruths United States 20 546 0.5× 133 0.4× 145 0.9× 33 0.2× 176 1.2× 60 1.8k
David Duvenaud Canada 18 652 0.6× 583 1.8× 33 0.2× 242 1.6× 92 0.6× 41 2.1k
William M. Campbell United States 29 3.0k 2.7× 50 0.2× 128 0.8× 523 3.4× 68 0.5× 118 3.8k

Countries citing papers authored by Deyu Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Deyu Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deyu Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Deyu Zhou. A scholar is included among the top collaborators of Deyu Zhou 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 Deyu Zhou. Deyu Zhou 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
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Wang, Rui, Deyu Zhou, Haiping Huang, & Yongquan Zhou. (2024). MIT: Mutual Information Topic Model for Diverse Topic Extraction. IEEE Transactions on Neural Networks and Learning Systems. 36(2). 2523–2537. 2 indexed citations
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Zhou, Deyu, et al.. (2024). HFD: Hierarchical feature decoupling for SQL generation from text. Intelligent Data Analysis. 28(4). 991–1005. 1 indexed citations
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Zhang, Linhai, et al.. (2023). Focusing, Bridging and Prompting for Few-shot Nested Named Entity Recognition. 2621–2637. 6 indexed citations
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Zhou, Deyu, et al.. (2022). Code Generation From Flowcharts with Texts: A Benchmark Dataset and An Approach. 6069–6077. 2 indexed citations
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Zhou, Deyu, et al.. (2019). Variational Conditional GAN for Fine-grained Controllable Image Generation. Asian Conference on Machine Learning. 109–124. 2 indexed citations
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Liu, Yu, Deyu Zhou, Zhou Liu, et al.. (2018). HIV-1 Protein Tat1–72 Impairs Neuronal Dendrites via Activation of PP1 and Regulation of the CREB/BDNF Pathway. Virologica Sinica. 33(3). 261–269. 14 indexed citations
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Liu, Yu, Deyu Zhou, Zhou Liu, et al.. (2018). Lysine-specific demethylase 1 cooperates with BRAF–histone deacetylase complex 80 to enhance HIV-1 Tat-mediated transactivation. Virus Genes. 54(5). 662–671. 3 indexed citations
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Zhou, Deyu, et al.. (2016). Emotion Distribution Learning from Texts. 638–647. 94 indexed citations
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Yang, Xu, Xin Geng, & Deyu Zhou. (2016). Sparsity conditional energy label distribution learning for age estimation. International Joint Conference on Artificial Intelligence. 2259–2265. 11 indexed citations
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Zhou, Deyu, et al.. (2015). A semi-supervised learning framework for biomedical event extraction based on hidden topics. Artificial Intelligence in Medicine. 64(1). 51–58. 28 indexed citations
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Zhou, Deyu & Yulan He. (2008). Extracting interactions between proteins from the literature. Journal of Biomedical Informatics. 41(2). 393–407. 62 indexed citations
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Zhou, Deyu, Yulan He, & Chee Keong Kwoh. (2008). Extracting Protein-Protein Interactions from MEDLINE using the Hidden Vector State model. International Journal of Bioinformatics Research and Applications. 4(1). 64–64. 7 indexed citations
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Zhou, Deyu, Yulan He, & Chee Keong Kwoh. (2007). Semi-supervised learning of the hidden vector state model for extracting protein–protein interactions. Artificial Intelligence in Medicine. 41(3). 209–222. 4 indexed citations
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Zhou, Deyu, Yulan He, & Chee Keong Kwoh. (2006). Validating text mining results on protein-protein interactions using gene expression profiles. Open Research Online (The Open University). 580–585. 4 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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