Jiunn‐Lin Wu

59 total papers · 873 total citations
30 papers, 647 citations indexed

About

Jiunn‐Lin Wu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Jiunn‐Lin Wu has authored 30 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 9 papers in Media Technology and 5 papers in Artificial Intelligence. Recurrent topics in Jiunn‐Lin Wu's work include Advanced Image Processing Techniques (7 papers), Image and Signal Denoising Methods (7 papers) and Image Processing Techniques and Applications (7 papers). Jiunn‐Lin Wu is often cited by papers focused on Advanced Image Processing Techniques (7 papers), Image and Signal Denoising Methods (7 papers) and Image Processing Techniques and Applications (7 papers). Jiunn‐Lin Wu collaborates with scholars based in Taiwan, United States and China. Jiunn‐Lin Wu's co-authors include Chin‐Hsing Chen, Fung‐Chang Sung, Chun‐Yu Chuang, Yu-Chun Wang, Wei‐Chun Chou, Chih-Fan Chen, Chia-Feng Chang, Chia-Ching Huang, Yao‐Tung Lin and Chung‐Ru Ho and has published in prestigious journals such as The Science of The Total Environment, IEEE Transactions on Geoscience and Remote Sensing and IEEE Access.

In The Last Decade

Jiunn‐Lin Wu

29 papers receiving 629 citations

Author Peers

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

Author						Papers	Cites
Jiunn‐Lin Wu	146	114	109	102	87	30	647
Lin Qiu	55 0.4×	160 1.4×	26 0.2×	40 0.4×	4 0.0×	53	703
Yali Duan	55 0.4×	97 0.9×	20 0.2×	113 1.1×	19 0.2×	42	565
Xiaoyan Wang	107 0.7×	25 0.2×	52 0.5×	4 0.0×	8 0.1×	43	562
Stanley I. Grossman	72 0.5×	81 0.7×	30 0.3×	96 0.9×	2 0.0×	23	655
Kenzu Abdella	24 0.2×	43 0.4×	44 0.4×	25 0.2×	4 0.0×	48	632
Jianhong Yang	9 0.1×	135 1.2×	109 1.0×	6 0.1×	29 0.3×	60	794
Yuwen Wang	17 0.1×	34 0.3×	42 0.4×	20 0.2×	19 0.2×	55	648
Wei Liang	130 0.9×	118 1.0×	15 0.1×	49 0.5×	32 0.4×	56	781
Brandon Stark	33 0.2×	66 0.6×	59 0.5×	7 0.1×	3 0.0×	34	663
L. Roytman	17 0.1×	46 0.4×	42 0.4×	16 0.2×	4 0.0×	64	619

Countries citing papers authored by Jiunn‐Lin Wu

Since Specialization

Citations

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

Fields of papers citing papers by Jiunn‐Lin Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiunn‐Lin Wu

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