Cheng Deng

232 papers and 6.3k indexed citations i.

About

Cheng Deng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Cheng Deng has authored 232 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 139 papers in Computer Vision and Pattern Recognition, 91 papers in Artificial Intelligence and 16 papers in Media Technology. Recurrent topics in Cheng Deng’s work include Advanced Image and Video Retrieval Techniques (54 papers), Domain Adaptation and Few-Shot Learning (49 papers) and Multimodal Machine Learning Applications (43 papers). Cheng Deng is often cited by papers focused on Advanced Image and Video Retrieval Techniques (54 papers), Domain Adaptation and Few-Shot Learning (49 papers) and Multimodal Machine Learning Applications (43 papers). Cheng Deng collaborates with scholars based in China, United States and Australia. Cheng Deng's co-authors include Dacheng Tao, Xinbo Gao, Xianglong Liu, Wei Liu, Heng Huang, Erkun Yang, Xuelong Li, Xu Yang, Tongliang Liu and Rongrong Ji and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and The Plant Journal.

In The Last Decade

Co-authorship network of co-authors of Cheng Deng i

Fields of papers citing papers by Cheng Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Cheng Deng

Since Specialization
Citations

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