Ting Bai

About

Ting Bai is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Ting Bai has authored 18 papers receiving a total of 114 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Information Systems and 4 papers in Molecular Biology. Recurrent topics in Ting Bai’s work include Recommender Systems and Techniques (8 papers), Meat and Animal Product Quality (4 papers) and Topic Modeling (3 papers). Ting Bai is often cited by papers focused on Recommender Systems and Techniques (8 papers), Meat and Animal Product Quality (4 papers) and Topic Modeling (3 papers). Ting Bai collaborates with scholars based in China, Canada and Thailand. Ting Bai's co-authors include Jian‐Yun Nie, Jian Tang, Weinan Zhang, Yanru Qu, Wayne Xin Zhao, Ji-Rong Wen, Bin Wu, Yulan He, Jifeng Li and Shuo Yuan and has published in prestigious journals such as Theranostics, IEEE Transactions on Knowledge and Data Engineering and Antioxidants.

In The Last Decade

Co-authorship network of co-authors of Ting Bai i

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Fields of papers citing papers by Ting Bai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ting Bai

Since Specialization

Citations

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