Jin Wu

75 total papers · 465 total citations
37 papers, 271 citations indexed

About

Jin Wu is a scholar working on Computer Networks and Communications, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jin Wu has authored 37 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 8 papers in Computational Mechanics and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jin Wu's work include Advanced Data Storage Technologies (5 papers), Catalytic Processes in Materials Science (4 papers) and Cloud Computing and Resource Management (4 papers). Jin Wu is often cited by papers focused on Advanced Data Storage Technologies (5 papers), Catalytic Processes in Materials Science (4 papers) and Cloud Computing and Resource Management (4 papers). Jin Wu collaborates with scholars based in China, United States and Iran. Jin Wu's co-authors include V. Tamimi, Seyed Taghi Omid Naeeni, Decheng Zuo, M. Zeinoddini, Yao Zhao, Zhibo Wu, Wei Sun, Xiang Gou, Shapour Azarm and Junhua Yang and has published in prestigious journals such as PLoS ONE, Applied Energy and IEEE Access.

In The Last Decade

Jin Wu

34 papers receiving 258 citations

Author Peers

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

Author						Papers	Cites
Jin Wu	87	83	77	57	55	37	271
Bernard Butler	108 1.2×	84 1.0×	47 0.6×	13 0.2×	62 1.1×	29	323
Dongxia Wang	50 0.6×	32 0.4×	35 0.5×	18 0.3×	68 1.2×	36	258
Zhengyu Chen	43 0.5×	31 0.4×	46 0.6×	12 0.2×	47 0.9×	36	293
Abdullah A. Algethami	43 0.5×	32 0.4×	20 0.3×	73 1.3×	11 0.2×	25	250
Unai López-Novoa	50 0.6×	23 0.3×	35 0.5×	13 0.2×	36 0.7×	17	205
Chengjie Li	89 1.0×	26 0.3×	61 0.8×	8 0.1×	29 0.5×	56	324
Wenbin Zhao	31 0.4×	35 0.4×	28 0.4×	71 1.2×	16 0.3×	52	309
Prosenjit Gupta	25 0.3×	40 0.5×	67 0.9×	13 0.2×	32 0.6×	43	302
Bradford G. Nickerson	135 1.6×	55 0.7×	16 0.2×	21 0.4×	12 0.2×	37	318
Zhen Wang	77 0.9×	36 0.4×	11 0.1×	108 1.9×	44 0.8×	36	308

Countries citing papers authored by Jin Wu

Since Specialization

Citations

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

Fields of papers citing papers by Jin Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Wu

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