Yaru Hao

About

Yaru Hao is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Plant Science. According to data from OpenAlex, Yaru Hao has authored 13 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 1 paper in Electrical and Electronic Engineering and 1 paper in Plant Science. Recurrent topics in Yaru Hao’s work include Topic Modeling (5 papers), Natural Language Processing Techniques (4 papers) and Machine Learning and Data Classification (2 papers). Yaru Hao is often cited by papers focused on Topic Modeling (5 papers), Natural Language Processing Techniques (4 papers) and Machine Learning and Data Classification (2 papers). Yaru Hao collaborates with scholars based in China, India and Norway. Yaru Hao's co-authors include Furu Wei, Li Dong, Ke Xu, Zhifang Sui, Damai Dai, Baobao Chang, Zhiqiang Chen, Qinxue Wen, Long Huang and Shuming Ma and has published in prestigious journals such as Bioresource Technology, Neurocomputing and Acta Tropica.

In The Last Decade

Co-authorship network of co-authors of Yaru Hao i

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Fields of papers citing papers by Yaru Hao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yaru Hao

Since Specialization

Citations

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