Peng Tang

23 papers and 1.2k indexed citations i.

About

Peng Tang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Oncology. According to data from OpenAlex, Peng Tang has authored 23 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 2 papers in Oncology. Recurrent topics in Peng Tang’s work include Advanced Image and Video Retrieval Techniques (13 papers), Advanced Neural Network Applications (9 papers) and Image Retrieval and Classification Techniques (6 papers). Peng Tang is often cited by papers focused on Advanced Image and Video Retrieval Techniques (13 papers), Advanced Neural Network Applications (9 papers) and Image Retrieval and Classification Techniques (6 papers). Peng Tang collaborates with scholars based in China, United States and United Kingdom. Peng Tang's co-authors include Xinggang Wang, Wenyu Liu, Xiang Bai, Xiang Bai, Song Bai, Alan Yuille, Wei Shen, Philip H. S. Torr, Longin Jan Latecki and Jingdong Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Medical Imaging.

In The Last Decade

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

Fields of papers citing papers by Peng Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Peng Tang

Since Specialization
Citations

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