Zhirui Zhang

120 total papers · 2.1k total citations
58 papers, 715 citations indexed

About

Zhirui Zhang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Ecology. According to data from OpenAlex, Zhirui Zhang has authored 58 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 5 papers in Ecology. Recurrent topics in Zhirui Zhang's work include Natural Language Processing Techniques (27 papers), Topic Modeling (26 papers) and Multimodal Machine Learning Applications (12 papers). Zhirui Zhang is often cited by papers focused on Natural Language Processing Techniques (27 papers), Topic Modeling (26 papers) and Multimodal Machine Learning Applications (12 papers). Zhirui Zhang collaborates with scholars based in China, United States and Cayman Islands. Zhirui Zhang's co-authors include Ming Zhou, Shujie Liu, Mu Li, Enhong Chen, Boxing Chen, Weihua Luo, Junliang Guo, Shuangzhi Wu, Shuming Shi and Dian Yu and has published in prestigious journals such as Applied Physics Letters, Marine Pollution Bulletin and Journal of Alloys and Compounds.

In The Last Decade

Zhirui Zhang

52 papers receiving 687 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Zhirui Zhang 462 208 89 47 35 58 715
Yong‐Gi Kim 209 0.5× 83 0.4× 60 0.7× 14 0.3× 77 2.2× 56 707
Yi Zhu 249 0.5× 120 0.6× 217 2.4× 68 1.4× 17 0.5× 75 703
Lidong Liu 124 0.3× 491 2.4× 68 0.8× 40 0.9× 10 0.3× 70 848
Jian Zhang 260 0.6× 74 0.4× 53 0.6× 26 0.6× 79 2.3× 66 723
Lingpeng Kong 427 0.9× 110 0.5× 22 0.2× 21 0.4× 36 1.0× 47 677
Hui Chen 253 0.5× 276 1.3× 73 0.8× 5 0.1× 30 0.9× 38 750
Richa Sharma 173 0.4× 131 0.6× 37 0.4× 245 5.2× 37 1.1× 59 720
Yangxi Li 312 0.7× 386 1.9× 38 0.4× 8 0.2× 33 0.9× 52 791
Hwang 223 0.5× 74 0.4× 225 2.5× 17 0.4× 73 2.1× 101 759
Yan Peng 143 0.3× 57 0.3× 116 1.3× 19 0.4× 86 2.5× 96 638

Countries citing papers authored by Zhirui Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Zhirui Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhirui Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhirui Zhang. A scholar is included among the top collaborators of Zhirui 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 Zhirui Zhang. Zhirui Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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