Tieliang Gong

46 papers and 326 indexed citations i.

About

Tieliang Gong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Tieliang Gong has authored 46 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Tieliang Gong’s work include Topic Modeling (12 papers), AI in cancer detection (12 papers) and Radiomics and Machine Learning in Medical Imaging (10 papers). Tieliang Gong is often cited by papers focused on Topic Modeling (12 papers), AI in cancer detection (12 papers) and Radiomics and Machine Learning in Medical Imaging (10 papers). Tieliang Gong collaborates with scholars based in China, Singapore and United States. Tieliang Gong's co-authors include Chen Li, Kai He, Rui Mao, Erik Cambria, Chunbao Wang, Zeyu Gao, Yefeng Zheng, Jiangbo Shi, Xianli Zhang and Yuan Yuan and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Information Theory and IEEE Transactions on Signal Processing.

In The Last Decade

Co-authorship network of co-authors of Tieliang Gong i

Fields of papers citing papers by Tieliang Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tieliang Gong

Since Specialization
Citations

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