Haoli Bai

About

Haoli Bai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Haoli Bai has authored 20 papers receiving a total of 194 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in Haoli Bai’s work include Topic Modeling (6 papers), Advanced Neural Network Applications (6 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Haoli Bai is often cited by papers focused on Topic Modeling (6 papers), Advanced Neural Network Applications (6 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Haoli Bai collaborates with scholars based in China, Hong Kong and United States. Haoli Bai's co-authors include Zenglin Xu, Jiaxiang Wu, Irwin King, Michael R. Lyu, Liangjian Wen, Ziyi Guo, Steven C. H. Hoi, Jian Cheng, Bin Shen and Xin Jiang and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, Neural Networks and Knowledge-Based Systems.

In The Last Decade

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

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Fields of papers citing papers by Haoli Bai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Haoli Bai

Since Specialization

Citations

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