Tianfu Wang

624 total papers · 18.0k total citations
410 papers, 12.1k citations indexed

About

Tianfu Wang is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Tianfu Wang has authored 410 papers receiving a total of 12.1k indexed citations (citations by other indexed papers that have themselves been cited), including 139 papers in Computer Vision and Pattern Recognition, 123 papers in Radiology, Nuclear Medicine and Imaging and 112 papers in Artificial Intelligence. Recurrent topics in Tianfu Wang's work include AI in cancer detection (72 papers), Radiomics and Machine Learning in Medical Imaging (45 papers) and Medical Image Segmentation Techniques (38 papers). Tianfu Wang is often cited by papers focused on AI in cancer detection (72 papers), Radiomics and Machine Learning in Medical Imaging (45 papers) and Medical Image Segmentation Techniques (38 papers). Tianfu Wang collaborates with scholars based in China, United States and Hong Kong. Tianfu Wang's co-authors include Baiying Lei, Dong Ni, Siping Chen, Peng Huang, Shengli Li, Jing Lin, Jing Qin, Xin Yang, Feng Zhou and Sheng Wang and has published in prestigious journals such as JAMA, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Tianfu Wang

392 papers receiving 11.9k citations

Hit Papers

Glucose‐Responsive Sequen... 2015 2026 2018 2022 2016 2019 2015 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tianfu Wang 3.3k 3.3k 3.2k 2.8k 1.1k 410 12.1k
Jianhua Yao 4.5k 1.4× 3.3k 1.0× 2.1k 0.7× 2.6k 0.9× 523 0.5× 378 12.6k
Jing Qin 4.1k 1.2× 4.5k 1.4× 2.0k 0.6× 5.1k 1.8× 477 0.4× 523 15.4k
Guang Yang 4.7k 1.4× 1.7k 0.5× 2.0k 0.6× 2.5k 0.9× 492 0.4× 445 11.2k
Kenji Suzuki 3.5k 1.1× 2.0k 0.6× 1.1k 0.3× 2.0k 0.7× 524 0.5× 527 13.3k
João Manuel R. S. Tavares 2.3k 0.7× 2.3k 0.7× 2.1k 0.7× 3.1k 1.1× 338 0.3× 522 11.2k
Ayman El‐Baz 4.3k 1.3× 1.9k 0.6× 1.5k 0.5× 1.8k 0.7× 238 0.2× 671 11.3k
Daniel L. Rubin 8.2k 2.5× 5.9k 1.8× 1.7k 0.5× 2.2k 0.8× 273 0.2× 365 15.8k
Baowei Fei 3.7k 1.1× 1.1k 0.3× 4.0k 1.3× 1.5k 0.6× 607 0.5× 392 11.1k
Jiang Liu 5.6k 1.7× 935 0.3× 1.6k 0.5× 3.2k 1.2× 226 0.2× 720 12.4k
Guang‐Zhong Yang 4.0k 1.2× 2.5k 0.7× 11.7k 3.7× 5.6k 2.0× 310 0.3× 823 27.0k

Countries citing papers authored by Tianfu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Tianfu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianfu Wang

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

All Works

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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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