Yi Zhu

199 total papers · 2.0k total citations
75 papers, 703 citations indexed

About

Yi Zhu is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yi Zhu has authored 75 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 22 papers in Electrical and Electronic Engineering and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yi Zhu's work include Natural Language Processing Techniques (17 papers), Topic Modeling (15 papers) and Multimodal Machine Learning Applications (9 papers). Yi Zhu is often cited by papers focused on Natural Language Processing Techniques (17 papers), Topic Modeling (15 papers) and Multimodal Machine Learning Applications (9 papers). Yi Zhu collaborates with scholars based in China, United States and United Kingdom. Yi Zhu's co-authors include Chunming Qiao, Chenglin Miao, Lü Su, Shawn Newsam, Xingjian Shi, Matías Mendieta, Chen Chen, Yijia Liu, Tianhang Zheng and Noah A. Smith and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Physical review. B, Condensed matter.

In The Last Decade

Yi Zhu

62 papers receiving 678 citations

Author Peers

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

Author						Papers	Cites
Yi Zhu	249	217	120	83	72	75	703
Qing Yan	138 0.6×	313 1.4×	158 1.3×	80 1.0×	17 0.2×	80	830
Jiaming Song	163 0.7×	159 0.7×	209 1.7×	189 2.3×	36 0.5×	80	712
Kai Fang	81 0.3×	132 0.6×	79 0.7×	67 0.8×	138 1.9×	72	658
Jianhong Chen	72 0.3×	395 1.8×	74 0.6×	177 2.1×	105 1.5×	85	906
Xinyuan Liu	92 0.4×	324 1.5×	106 0.9×	164 2.0×	41 0.6×	92	798
Wei‐Jun Chen	119 0.5×	181 0.8×	236 2.0×	40 0.5×	94 1.3×	57	717
Dawei Sun	150 0.6×	119 0.5×	62 0.5×	115 1.4×	34 0.5×	55	890
Wenjin Zhang	83 0.3×	237 1.1×	91 0.8×	212 2.6×	26 0.4×	75	888
Bo Huang	68 0.3×	244 1.1×	257 2.1×	63 0.8×	25 0.3×	46	646
Thomas J. Meitzler	98 0.4×	193 0.9×	123 1.0×	26 0.3×	249 3.5×	75	768

Countries citing papers authored by Yi Zhu

Since Specialization

Citations

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

Fields of papers citing papers by Yi Zhu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Yi Zhu. A scholar is included among the top collaborators of Yi 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 Yi Zhu. Yi Zhu 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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