Tingying Peng

3.0k total citations · 1 hit paper
44 papers, 1.3k citations indexed

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 44 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Biophysics and 15 papers in Artificial Intelligence. Recurrent topics in Tingying Peng's work include Cell Image Analysis Techniques (12 papers), AI in cancer detection (12 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Tingying Peng is often cited by papers focused on Cell Image Analysis Techniques (12 papers), AI in cancer detection (12 papers) and Radiomics and Machine Learning in Medical Imaging (8 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, Katja Steiger, Iréne Esposito, Abhishek Vahadane, Anna Melissa Schlitter and Shadi Albarqouni and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Nature Communications.

In The Last Decade

Tingying Peng

42 papers receiving 1.3k citations

Hit Papers

Structure-Preserving Color Normalization and Sparse Stain... 2016 2026 2019 2022 2016 100 200 300 400

Peers

Tingying Peng
Comparison fields: 5 of 129
  • Artificial Intelligence 501
  • Radiology, Nuclear Medicine and Imaging 473
  • Computer Vision and Pattern Recognition 318
  • Biophysics 239
  • Biomedical Engineering 219
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Rajarsi Gupta United States View profile →
Citations per field, relative to Tingying Peng
Tingying Peng · 1×
Citations per year, relative to Tingying Peng
Tingying Peng · 1×

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).

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.

Co-authorship network of co-authors of Tingying Peng

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 3
3 0
4 26
5 4
6 3
7 2
8 11
9 4
10 2
11 15
12 7
13 2
14 98
15 188
16 18
17 1
18 4
19 31
20 49

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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