Zhe Wu

33 total papers · 923 total citations
21 papers, 478 citations indexed

About

Zhe Wu is a scholar working on Artificial Intelligence, Computer Networks and Communications and Organic Chemistry. According to data from OpenAlex, Zhe Wu has authored 21 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Computer Networks and Communications and 4 papers in Organic Chemistry. Recurrent topics in Zhe Wu's work include Semantic Web and Ontologies (7 papers), Advanced Database Systems and Queries (5 papers) and Graph Theory and Algorithms (4 papers). Zhe Wu is often cited by papers focused on Semantic Web and Ontologies (7 papers), Advanced Database Systems and Queries (5 papers) and Graph Theory and Algorithms (4 papers). Zhe Wu collaborates with scholars based in United States, China and United Kingdom. Zhe Wu's co-authors include Robert H. Grubbs, SonBinh T. Nguyen, Joseph W. Ziller, Jeffrey L. Petersen, Richard F. Jordan, Eugene Inseok Chong, Jagannathan Srinivasan, Souripriya Das, Vladimir Kolovski and Jay Banerjee and has published in prestigious journals such as Journal of the American Chemical Society, Macromolecules and Scientific Reports.

In The Last Decade

Zhe Wu

21 papers receiving 451 citations

Author Peers

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

Author						Papers	Cites
Zhe Wu	305	121	103	94	75	21	478
George Theodoridis	268 0.9×	79 0.7×	33 0.3×	95 1.0×	50 0.7×	42	530
Te‐Yu Chen	167 0.5×	73 0.6×	109 1.1×	31 0.3×	82 1.1×	16	417
Shu-Chen Lin	397 1.3×	39 0.3×	67 0.7×	95 1.0×	29 0.4×	22	540
Huafeng Chen	164 0.5×	121 1.0×	29 0.3×	24 0.3×	19 0.3×	42	435
Jianning Zhang	154 0.5×	26 0.2×	43 0.4×	63 0.7×	20 0.3×	37	506
Dingxing Wang	358 1.2×	32 0.3×	48 0.5×	18 0.2×	37 0.5×	28	511
Lun Li	135 0.4×	83 0.7×	35 0.3×	19 0.2×	126 1.7×	38	478
Akihiro Yamashita	315 1.0×	66 0.5×	77 0.7×	64 0.7×	7 0.1×	34	541
Tianyu Gao	223 0.7×	46 0.4×	65 0.6×	19 0.2×	38 0.5×	27	456
Priya Aggarwal	124 0.4×	68 0.6×	84 0.8×	24 0.3×	14 0.2×	21	436

Countries citing papers authored by Zhe Wu

Since Specialization

Citations

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

Fields of papers citing papers by Zhe Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhe Wu

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