De‐Chuan Zhan

80 papers and 1.4k indexed citations i.

About

De‐Chuan Zhan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, De‐Chuan Zhan has authored 80 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Artificial Intelligence, 44 papers in Computer Vision and Pattern Recognition and 6 papers in Information Systems. Recurrent topics in De‐Chuan Zhan’s work include Domain Adaptation and Few-Shot Learning (33 papers), Multimodal Machine Learning Applications (20 papers) and Advanced Image and Video Retrieval Techniques (12 papers). De‐Chuan Zhan is often cited by papers focused on Domain Adaptation and Few-Shot Learning (33 papers), Multimodal Machine Learning Applications (20 papers) and Advanced Image and Video Retrieval Techniques (12 papers). De‐Chuan Zhan collaborates with scholars based in China, United States and Singapore. De‐Chuan Zhan's co-authors include Han-Jia Ye, Hexiang Hu, Fei Sha, Da-Wei Zhou, Zhi‐Hua Zhou, Yuan Jiang, Yang Yang, Qiang Yang, Shiliang Pu and Liang Ma and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Advanced Science and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of De‐Chuan Zhan i

Fields of papers citing papers by De‐Chuan Zhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by De‐Chuan Zhan. 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 De‐Chuan Zhan. The network helps show where De‐Chuan Zhan may publish in the future.

Countries citing papers authored by De‐Chuan Zhan

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025