Huina Mao

14 papers and 3.7k indexed citations i.

About

Huina Mao is a scholar working on Artificial Intelligence, Management Science and Operations Research and Statistical and Nonlinear Physics. According to data from OpenAlex, Huina Mao has authored 14 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Management Science and Operations Research and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Huina Mao’s work include Complex Network Analysis Techniques (4 papers), Stock Market Forecasting Methods (4 papers) and Sentiment Analysis and Opinion Mining (3 papers). Huina Mao is often cited by papers focused on Complex Network Analysis Techniques (4 papers), Stock Market Forecasting Methods (4 papers) and Sentiment Analysis and Opinion Mining (3 papers). Huina Mao collaborates with scholars based in United States, United Kingdom and China. Huina Mao's co-authors include Johan Bollen, Xiao‐Jun Zeng, Alberto Pepe, Jinsha Yuan, Xueming Yang, Bruno Gonçalves, Guangchen Ruan, Ruo‐Qian Wang, Yuan Wang and Chris S. Rae and has published in prestigious journals such as IEEE Transactions on Power Systems, Expert Systems with Applications and Computers & Geosciences.

In The Last Decade

Co-authorship network of co-authors of Huina Mao i

Fields of papers citing papers by Huina Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Huina Mao

Since Specialization
Citations

This map shows the geographic impact of Huina Mao'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 Huina Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huina Mao 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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2026