Han-Jia Ye

About

Han-Jia Ye is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Han-Jia Ye has authored 47 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 33 papers in Computer Vision and Pattern Recognition and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Han-Jia Ye’s work include Domain Adaptation and Few-Shot Learning (31 papers), Multimodal Machine Learning Applications (20 papers) and Machine Learning and Data Classification (7 papers). Han-Jia Ye is often cited by papers focused on Domain Adaptation and Few-Shot Learning (31 papers), Multimodal Machine Learning Applications (20 papers) and Machine Learning and Data Classification (7 papers). Han-Jia Ye collaborates with scholars based in China, United States and Singapore. Han-Jia Ye's co-authors include De‐Chuan Zhan, Hexiang Hu, Fei Sha, Da-Wei Zhou, Liang Ma, Yuan Jiang, Shiliang Pu, Fuyun Wang, Zhi‐Hua Zhou and Lü Su and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and International Journal of Computer Vision.

In The Last Decade

Co-authorship network of co-authors of Han-Jia Ye i

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Fields of papers citing papers by Han-Jia Ye

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Han-Jia Ye. 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 Han-Jia Ye. The network helps show where Han-Jia Ye may publish in the future.

Countries citing papers authored by Han-Jia Ye

Since Specialization

Citations

This map shows the geographic impact of Han-Jia Ye'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 Han-Jia Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Han-Jia Ye 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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