Jiying Wu

65 total papers · 608 total citations
42 papers, 445 citations indexed

About

Jiying Wu is a scholar working on Computer Vision and Pattern Recognition, Economics and Econometrics and Media Technology. According to data from OpenAlex, Jiying Wu has authored 42 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 11 papers in Economics and Econometrics and 7 papers in Media Technology. Recurrent topics in Jiying Wu's work include Face and Expression Recognition (8 papers), Energy, Environment, Economic Growth (8 papers) and Image and Signal Denoising Methods (8 papers). Jiying Wu is often cited by papers focused on Face and Expression Recognition (8 papers), Energy, Environment, Economic Growth (8 papers) and Image and Signal Denoising Methods (8 papers). Jiying Wu collaborates with scholars based in China, Ghana and Hong Kong. Jiying Wu's co-authors include Olivier Joseph Abban, Qiuqi Ruan, Isaac Adjei Mensah, Gaoyun An, Xicang Zhao, Yimin Ma, Jan Muhammad Sohu, Muhammad Haris, Liangmin Wang and Hongxing Yao and has published in prestigious journals such as Environmental Science and Pollution Research, Pattern Recognition Letters and Signal Processing.

In The Last Decade

Jiying Wu

39 papers receiving 424 citations

Author Peers

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

Author						Papers	Cites
Jiying Wu	189	154	107	75	34	42	445
Xiang Chen	80 0.4×	157 1.0×	41 0.4×	52 0.7×	8 0.2×	25	442
Huizhong Zhou	103 0.5×	236 1.5×	37 0.3×	33 0.4×	6 0.2×	20	459
Jie Song	66 0.3×	154 1.0×	51 0.5×	17 0.2×	29 0.9×	41	453
Jie Wu	72 0.4×	53 0.3×	33 0.3×	36 0.5×	4 0.1×	58	388
Xianmei Liu	92 0.5×	37 0.2×	48 0.4×	128 1.7×	2 0.1×	39	407
Qian Wei	81 0.4×	96 0.6×	27 0.3×	42 0.6×	2 0.1×	58	485
Jing Zhao	210 1.1×	41 0.3×	76 0.7×	63 0.8×		35	452
Yan Cao	168 0.9×	43 0.3×	70 0.7×	74 1.0×		41	461
Ke Peng	141 0.7×	169 1.1×	41 0.4×	71 0.9×		14	450
David Rolnick	40 0.2×	49 0.3×	39 0.4×	41 0.5×	6 0.2×	27	399

Countries citing papers authored by Jiying Wu

Since Specialization

Citations

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

Fields of papers citing papers by Jiying Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiying Wu

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