Jiunn‐Lin Wu

882 total citations
30 papers, 651 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 651 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 Image and Signal Denoising Methods (7 papers), Advanced Image Processing Techniques (7 papers) and Image Processing Techniques and Applications (7 papers). Jiunn‐Lin Wu is often cited by papers focused on Image and Signal Denoising Methods (7 papers), Advanced Image Processing Techniques (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, Yao‐Tung Lin, Arun Lal Srivastav and Chia-Ching Huang 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 633 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jiunn‐Lin Wu Taiwan	11	146	116	109	102	87	30	651
Yin Yang China	19	652 4.5×	60 0.5×	47 0.4×	524 5.1×	18 0.2×	109	1.1k
Lizeth Torres Mexico	17	266 1.8×	73 0.6×	24 0.2×	120 1.2×	13 0.1×	83	963
Muhammad Ayaz Pakistan	19	213 1.5×	28 0.2×	30 0.3×	128 1.3×	4 0.0×	93	1.2k
Yali Duan China	16	56 0.4×	97 0.8×	20 0.2×	114 1.1×	19 0.2×	42	576
Wei Liang China	13	130 0.9×	118 1.0×	16 0.1×	49 0.5×	32 0.4×	56	784
Qiang Xi China	18	104 0.7×	211 1.8×	11 0.1×	85 0.8×	10 0.1×	48	1.2k
Hammad Alotaibi Saudi Arabia	21	194 1.3×	110 0.9×	10 0.1×	86 0.8×	2 0.0×	107	1.4k
Jun Huang China	14	230 1.6×	92 0.8×	10 0.1×	190 1.9×	2 0.0×	76	846
L. Roytman United States	13	17 0.1×	46 0.4×	42 0.4×	16 0.2×	4 0.0×	63	571

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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20 of 20 papers shown

Jin, Ning, et al.. (2024). Radar Signal Recognition Based on Multi-Task Learning. IEEE Access. 12. 153209–153220. 1 indexed citations

Lin, Che‐Yi, Feng‐Shou Yang, Mengjiao Li, et al.. (2023). A reconfigurable transistor and memory based on a two-dimensional heterostructure and photoinduced trapping. Nature Electronics. 6(10). 755–764. 85 indexed citations

Wu, Jiunn‐Lin, et al.. (2017). A fast classification strategy for SVM on the large-scale high-dimensional datasets. Pattern Analysis and Applications. 21(4). 1023–1038. 7 indexed citations

Chang, Chia-Feng, et al.. (2017). A hybrid defect detection method for compact camera lens. Advances in Mechanical Engineering. 9(8). 2071941382–2071941382. 18 indexed citations

Chang, Chia-Feng, et al.. (2017). A Single Image Deblurring Algorithm for Nonuniform Motion Blur Using Uniform Defocus Map Estimation. Mathematical Problems in Engineering. 2017(1). 5 indexed citations

Wu, Jiunn‐Lin, et al.. (2014). An Improved Adaptive Deconvolution Algorithm for Single Image Deblurring. Mathematical Problems in Engineering. 2014(1). 4 indexed citations

Wu, Jiunn‐Lin, et al.. (2013). An Adaptive Richardson-Lucy Algorithm for Single Image Deblurring Using Local Extrema Filtering. Journal of Applied Science and Engineering. 16(3). 269–276. 11 indexed citations

Chang, Chia-Feng, Jiunn‐Lin Wu, & Yuchun Wang. (2013). A Hybrid Defect Detection Method for Wafer level Chip Scale Package Images. 8 indexed citations

Wu, Jiunn‐Lin & Yi‐ying Chou. (2012). An Effective Content-Aware Image Inpainting Method *. Journal of information science and engineering. 28. 755–770. 6 indexed citations

10.

Wu, Jiunn‐Lin, et al.. (2012). An improved Richardson-Lucy algorithm for single image deblurring using local extrema filtering. 42. 27–32. 7 indexed citations

11.

Hsieh, Yao‐Ching, et al.. (2012). Class- E- based charge-equalisation circuit for battery cells. IET Power Electronics. 5(7). 978–983. 22 indexed citations

12.

Chou, Wei‐Chun, et al.. (2010). Modeling the impact of climate variability on diarrhea-associated diseases in Taiwan (1996–2007). The Science of The Total Environment. 409(1). 43–51. 113 indexed citations

13.

Wu, Jiunn‐Lin, et al.. (2010). A SOM-based dimensionality reduction method for KNN classifiers. 173–178. 9 indexed citations

14.

Tsai, Meng-Hsiun, et al.. (2009). Color‐Texture‐Based Image Retrieval System Using Gaussian Markov Random Field Model. Mathematical Problems in Engineering. 2009(1). 6 indexed citations

15.

Chen, Pei‐Shih, Chien‐Hung Lee, Chwan‐Chuen King, et al.. (2009). Quantification of Airborne Influenza and Avian Influenza Virus in a Wet Poultry Market using a Filter/Real-time qPCR Method. Aerosol Science and Technology. 43(4). 290–297. 36 indexed citations

16.

Wu, Jiunn‐Lin, et al.. (2006). An Efficient Method for Enhancing High-Contrast Digital Photos Automatically.. International MultiConference of Engineers and Computer Scientists. 502–506. 1 indexed citations

17.

Wu, Jiunn‐Lin & Chin‐Hsing Chen. (2004). (IEICE Trans. on Fundamentals of Electronics Communications and Computer Sciences, E87-A(5):1077-1082)A New Operational Approach for Solving Fractional Calculus and Fractional Differential Equations Numerically. 2 indexed citations

18.

Wu, Jiunn‐Lin & Chin‐Hsing Chen. (2003). (IASTED International Conference on Software Engineering and Applications:516-522)A New Operational Approach for Solving Fractional Calculus and Fractional Differential Equations Numerically. 3 indexed citations

19.

Wu, Jiunn‐Lin, et al.. (2003). (the 7th World Multiconference on Systemics, Cybernetics and Informatics, 05:093-098)A Hybrid Case-Based Reasoning Approach for the Electrocardiogram Diagnosis. 1 indexed citations

20.

Tu, Te‐Ming, Chin‐Hsing Chen, Jiunn‐Lin Wu, & Chein‐I Chang. (1998). A fast two-stage classification method for high-dimensional remote sensing data. IEEE Transactions on Geoscience and Remote Sensing. 36(1). 182–191. 33 indexed citations

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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