Yueh-Hua Wu

About

Yueh-Hua Wu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Yueh-Hua Wu has authored 3 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Control and Systems Engineering. Recurrent topics in Yueh-Hua Wu’s work include Advanced Neural Network Applications (2 papers), Domain Adaptation and Few-Shot Learning (1 paper) and Multimodal Machine Learning Applications (1 paper). Yueh-Hua Wu is often cited by papers focused on Advanced Neural Network Applications (2 papers), Domain Adaptation and Few-Shot Learning (1 paper) and Multimodal Machine Learning Applications (1 paper). Yueh-Hua Wu collaborates with scholars based in Taiwan. Yueh-Hua Wu's co-authors include Chien-Yao Wang, Ping-Yang Chen, Jun-Wei Hsieh, I-Hau Yeh, Hong-Yuan Mark Liao and Shou-De Lin and has published in prestigious journals such as Proceedings of the AAAI Conference on Artificial Intelligence, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) and IEEE Conference Proceedings.

In The Last Decade

Co-authorship network of co-authors of Yueh-Hua Wu i

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Fields of papers citing papers by Yueh-Hua Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yueh-Hua Wu

Since Specialization

Citations

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

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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