Kuan–Chuan Peng

16 papers and 565 indexed citations i.

About

Kuan–Chuan Peng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Epidemiology. According to data from OpenAlex, Kuan–Chuan Peng has authored 16 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 2 papers in Epidemiology. Recurrent topics in Kuan–Chuan Peng’s work include Domain Adaptation and Few-Shot Learning (5 papers), Multimodal Machine Learning Applications (5 papers) and Anomaly Detection Techniques and Applications (5 papers). Kuan–Chuan Peng is often cited by papers focused on Domain Adaptation and Few-Shot Learning (5 papers), Multimodal Machine Learning Applications (5 papers) and Anomaly Detection Techniques and Applications (5 papers). Kuan–Chuan Peng collaborates with scholars based in United States, Japan and Saudi Arabia. Kuan–Chuan Peng's co-authors include Tsuhan Chen, Ziyan Wu, Rajat Singh, Prithviraj Dhar, Rama Chellappa, Amir Sadovnik, Andrew Gallagher, Kunpeng Li, Jan Ernst and Yun Fu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, CiteSeer X (The Pennsylvania State University) and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Co-authorship network of co-authors of Kuan–Chuan Peng i

Fields of papers citing papers by Kuan–Chuan Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuan–Chuan Peng. 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 Kuan–Chuan Peng. The network helps show where Kuan–Chuan Peng may publish in the future.

Countries citing papers authored by Kuan–Chuan Peng

Since Specialization
Citations

This map shows the geographic impact of Kuan–Chuan Peng'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 Kuan–Chuan Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuan–Chuan Peng 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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