Chengchao Shen

21 papers and 360 indexed citations i.

About

Chengchao Shen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Condensed Matter Physics. According to data from OpenAlex, Chengchao Shen has authored 21 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 5 papers in Condensed Matter Physics. Recurrent topics in Chengchao Shen’s work include Domain Adaptation and Few-Shot Learning (8 papers), Iron-based superconductors research (5 papers) and Adversarial Robustness in Machine Learning (3 papers). Chengchao Shen is often cited by papers focused on Domain Adaptation and Few-Shot Learning (8 papers), Iron-based superconductors research (5 papers) and Adversarial Robustness in Machine Learning (3 papers). Chengchao Shen collaborates with scholars based in China, United States and Singapore. Chengchao Shen's co-authors include Jie Song, Mingli Song, Yang Liu, Yezhou Yang, Xinchao Wang, Li Sun, Li Sun, Sihui Luo, Guang‐Han Cao and Yixin Chen and has published in prestigious journals such as Applied Physics Letters, Physical Review B and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Chengchao Shen i

Fields of papers citing papers by Chengchao Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chengchao Shen

Since Specialization
Citations

This map shows the geographic impact of Chengchao Shen'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 Chengchao Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chengchao Shen 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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2025