Qian Da

22 papers and 248 indexed citations i.

About

Qian Da is a scholar working on Ocean Engineering, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Qian Da has authored 22 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Ocean Engineering, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Artificial Intelligence. Recurrent topics in Qian Da’s work include Enhanced Oil Recovery Techniques (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and AI in cancer detection (4 papers). Qian Da is often cited by papers focused on Enhanced Oil Recovery Techniques (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and AI in cancer detection (4 papers). Qian Da collaborates with scholars based in China, United States and Hong Kong. Qian Da's co-authors include Chuanjin Yao, Guanglun Lei, Yuliang Su, Lei Li, Guozhong Zhang, Junjie Li, Yuntao Lu, Qiang Zhou, Liyi Ma and Lei Chen and has published in prestigious journals such as Scientific Reports, Applied Energy and Energy.

In The Last Decade

Co-authorship network of co-authors of Qian Da i

Fields of papers citing papers by Qian Da

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Qian Da

Since Specialization
Citations

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