De Cheng

27 papers and 414 indexed citations
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About

De Cheng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, De Cheng has authored 27 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in De Cheng’s work include Domain Adaptation and Few-Shot Learning (8 papers), Multimodal Machine Learning Applications (7 papers) and COVID-19 diagnosis using AI (5 papers). De Cheng is often cited by papers focused on Domain Adaptation and Few-Shot Learning (8 papers), Multimodal Machine Learning Applications (7 papers) and COVID-19 diagnosis using AI (5 papers). De Cheng collaborates with scholars based in China, Hong Kong and Poland. De Cheng's co-authors include Dingwen Zhang, Xinbo Gao, Nannan Wang, Jungong Han, Jingyu Zhou, Junwei Han, Qiang Zhang, Bo Wang, Yi Liu and Jiande Sun and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of De Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of De Cheng. A scholar is included among the top collaborators of De Cheng 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 De Cheng. De Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by De Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by De Cheng

Since Specialization
Citations

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