Chia-Wen Kuo

32 total papers · 680 total citations
17 papers, 379 citations indexed

About

Chia-Wen Kuo is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Chia-Wen Kuo has authored 17 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 3 papers in Control and Systems Engineering and 3 papers in Artificial Intelligence. Recurrent topics in Chia-Wen Kuo's work include Multimodal Machine Learning Applications (5 papers), Advanced Neural Network Applications (5 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Chia-Wen Kuo is often cited by papers focused on Multimodal Machine Learning Applications (5 papers), Advanced Neural Network Applications (5 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Chia-Wen Kuo collaborates with scholars based in Taiwan, United States and Slovakia. Chia-Wen Kuo's co-authors include Zsolt Kira, Ren C. Luo, Chia‐Ming Fan, Chih‐Yao Ma, Yen‐Cheng Liu, Junjiao Tian, David R. Huggins, Ting-Wei Chang, Pei‐Kuen Wei and Sheng‐Hann Wang and has published in prestigious journals such as Proceedings of the IEEE, European Journal of Pharmacology and Biomedicine & Pharmacotherapy.

In The Last Decade

Chia-Wen Kuo

16 papers receiving 373 citations

Author Peers

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

Author						Papers	Cites
Chia-Wen Kuo	192	66	62	61	46	17	379
Yongchun Miao	131 0.7×	46 0.7×	36 0.6×	84 1.4×	71 1.5×	25	346
Li Hou	156 0.8×	56 0.8×	20 0.3×	86 1.4×	27 0.6×	33	381
Zhiqiang Hao	211 1.1×	49 0.7×	92 1.5×	59 1.0×	47 1.0×	23	424
Junguo Cui	144 0.8×	78 1.2×	46 0.7×	84 1.4×	57 1.2×	25	336
Xinxin Yan	73 0.4×	30 0.5×	24 0.4×	82 1.3×	62 1.3×	19	368
Jung-Woo Chang	276 1.4×	29 0.4×	31 0.5×	65 1.1×	70 1.5×	22	427
Amruta Rout	109 0.6×	29 0.4×	130 2.1×	114 1.9×	34 0.7×	26	406
Yiping Shao	76 0.4×	24 0.4×	94 1.5×	100 1.6×	20 0.4×	25	368
Ke Zhou	126 0.7×	42 0.6×	52 0.8×	22 0.4×	116 2.5×	18	403
Johannes Günther	86 0.4×	79 1.2×	77 1.2×	48 0.8×	10 0.2×	15	434

Countries citing papers authored by Chia-Wen Kuo

Since Specialization

Citations

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

Fields of papers citing papers by Chia-Wen Kuo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia-Wen Kuo. 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 Chia-Wen Kuo. The network helps show where Chia-Wen Kuo may publish in the future.

Co-authorship network of co-authors of Chia-Wen Kuo

This figure shows the co-authorship network connecting the top 25 collaborators of Chia-Wen Kuo. A scholar is included among the top collaborators of Chia-Wen Kuo 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 Chia-Wen Kuo. Chia-Wen Kuo 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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