Huina Mao

25 total papers · 8.1k total citations
18 papers, 4.5k citations indexed

About

Huina Mao is a scholar working on Artificial Intelligence, Transportation and Statistical and Nonlinear Physics. According to data from OpenAlex, Huina Mao has authored 18 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Transportation and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Huina Mao's work include Human Mobility and Location-Based Analysis (5 papers), Stock Market Forecasting Methods (4 papers) and Complex Network Analysis Techniques (4 papers). Huina Mao is often cited by papers focused on Human Mobility and Location-Based Analysis (5 papers), Stock Market Forecasting Methods (4 papers) and Complex Network Analysis Techniques (4 papers). Huina Mao collaborates with scholars based in United States, China and United Kingdom. Huina Mao's co-authors include Johan Bollen, Xiao‐Jun Zeng, Jinsha Yuan, Xueming Yang, Bruno Gonçalves, Guangchen Ruan, Xin Shuai, Apu Kapadia, Ruo‐Qian Wang and Alberto Pepe and has published in prestigious journals such as IEEE Transactions on Power Systems, Expert Systems with Applications and Computer.

In The Last Decade

Huina Mao

18 papers receiving 4.2k citations

Hit Papers

Twitter mood predicts the... 2011 2026 2016 2021 2011 1000 2.0k 3.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Huina Mao 1.8k 1.3k 970 845 782 18 4.5k
Philipp Sandner 1.1k 0.6× 406 0.3× 1.0k 1.1× 1.4k 1.6× 724 0.9× 91 5.2k
Andreas Flache 2.2k 1.2× 598 0.5× 2.0k 2.1× 543 0.6× 1.5k 1.9× 109 7.4k
Dirk Van den Poel 1.5k 0.8× 899 0.7× 1.1k 1.1× 679 0.8× 172 0.2× 143 6.9k
David M. Pennock 2.6k 1.4× 850 0.7× 713 0.7× 588 0.7× 626 0.8× 56 5.5k
Ramesh Sharda 1.6k 0.9× 1.3k 1.0× 585 0.6× 504 0.6× 106 0.1× 142 6.7k
Bryan Routledge 946 0.5× 290 0.2× 489 0.5× 837 1.0× 393 0.5× 45 2.7k
Sofus A. Macskassy 795 0.4× 563 0.4× 307 0.3× 593 0.7× 403 0.5× 44 2.8k
Timm O. Sprenger 1.1k 0.6× 373 0.3× 840 0.9× 343 0.4× 716 0.9× 12 2.7k
Jie Zhang 919 0.5× 635 0.5× 2.7k 2.7× 450 0.5× 205 0.3× 146 5.5k
Martin J. Osborne 1.0k 0.6× 3.0k 2.3× 849 0.9× 3.5k 4.1× 240 0.3× 60 7.7k

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).

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.

Co-authorship network of co-authors of Huina Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Huina Mao. A scholar is included among the top collaborators of Huina Mao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Huina Mao. Huina Mao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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