Tingying Peng

40 papers and 1.1k indexed citations i.

About

Tingying Peng is a scholar working on Radiology, Nuclear Medicine and Imaging, Biophysics and Artificial Intelligence. According to data from OpenAlex, Tingying Peng has authored 40 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Biophysics and 12 papers in Artificial Intelligence. Recurrent topics in Tingying Peng’s work include Cell Image Analysis Techniques (10 papers), AI in cancer detection (9 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Tingying Peng is often cited by papers focused on Cell Image Analysis Techniques (10 papers), AI in cancer detection (9 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Tingying Peng collaborates with scholars based in Germany, United Kingdom and Switzerland. Tingying Peng's co-authors include Nassir Navab, Lichao Wang, Stephen J. Payne, Maximilian Baust, Amit Sethi, Shadi Albarqouni, Iréne Esposito, Katja Steiger, Anna Melissa Schlitter and Abhishek Vahadane and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Tingying Peng i

Fields of papers citing papers by Tingying Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tingying Peng

Since Specialization
Citations

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