Tianmeng Yang

About

Tianmeng Yang is a scholar working on Artificial Intelligence, Signal Processing and Economics and Econometrics. According to data from OpenAlex, Tianmeng Yang has authored 4 papers receiving a total of 179 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 1 paper in Signal Processing and 1 paper in Economics and Econometrics. Recurrent topics in Tianmeng Yang’s work include Advanced Graph Neural Networks (3 papers), Topic Modeling (3 papers) and Imbalanced Data Classification Techniques (1 paper). Tianmeng Yang is often cited by papers focused on Advanced Graph Neural Networks (3 papers), Topic Modeling (3 papers) and Imbalanced Data Classification Techniques (1 paper). Tianmeng Yang collaborates with scholars based in China and United Kingdom. Tianmeng Yang's co-authors include Yunhai Tong, Zhihan Yue, Congrui Huang, Yujing Wang, Bixiong Xu, Juanyong Duan, Yaming Yang, Jing Bai, Yujing Wang and Bin Cui and has published in prestigious journals such as arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence and Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.

In The Last Decade

Co-authorship network of co-authors of Tianmeng Yang i

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Fields of papers citing papers by Tianmeng Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tianmeng Yang

Since Specialization

Citations

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