Haoyi Zhou

74 total papers · 6.3k total citations
35 papers, 3.1k citations indexed

About

Haoyi Zhou is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Haoyi Zhou has authored 35 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 9 papers in Signal Processing and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Haoyi Zhou's work include Time Series Analysis and Forecasting (6 papers), Anomaly Detection Techniques and Applications (5 papers) and Stock Market Forecasting Methods (4 papers). Haoyi Zhou is often cited by papers focused on Time Series Analysis and Forecasting (6 papers), Anomaly Detection Techniques and Applications (5 papers) and Stock Market Forecasting Methods (4 papers). Haoyi Zhou collaborates with scholars based in China, United States and Hong Kong. Haoyi Zhou's co-authors include Shanghang Zhang, Shuai Zhang, Jianxin Li, Hui Xiong, Wancai Zhang, Jianxin Li, Shaohan Huang, Hangbo Bao, Binxing Jiao and Daxin Jiang and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Green Chemistry and Expert Systems with Applications.

In The Last Decade

Haoyi Zhou

29 papers receiving 3.1k citations

Hit Papers

Informer: Beyond Efficien... 2021 2026 2022 2024 2021 500 1000 1.5k 2.0k 2.5k

Author Peers

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

Author Last Decade Papers Cites
Haoyi Zhou 1.1k 844 788 609 407 35 3.1k
Shuai Zhang 1.3k 1.2× 910 1.1× 795 1.0× 626 1.0× 414 1.0× 36 3.4k
Jianxin Li 1.1k 1.1× 933 1.1× 817 1.0× 611 1.0× 494 1.2× 50 3.6k
Wancai Zhang 986 0.9× 827 1.0× 770 1.0× 601 1.0× 397 1.0× 11 3.1k
Bas R. Steunebrink 1.7k 1.6× 529 0.6× 841 1.1× 363 0.6× 286 0.7× 16 4.5k
Shanghang Zhang 1.9k 1.8× 911 1.1× 938 1.2× 626 1.0× 433 1.1× 83 4.6k
Jan Koutník 1.9k 1.8× 660 0.8× 907 1.2× 357 0.6× 293 0.7× 19 4.9k
Klaus Greff 1.7k 1.7× 551 0.7× 866 1.1× 361 0.6× 295 0.7× 15 4.7k
Alicia Troncoso 992 0.9× 403 0.5× 1.3k 1.6× 657 1.1× 261 0.6× 113 3.0k
Francisco Martínez‐Álvarez 1.6k 1.5× 372 0.4× 995 1.3× 576 0.9× 259 0.6× 116 4.1k
Yong Yu 894 0.8× 240 0.3× 610 0.8× 183 0.3× 200 0.5× 26 3.4k

Countries citing papers authored by Haoyi Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Haoyi Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haoyi Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Haoyi Zhou. A scholar is included among the top collaborators of Haoyi Zhou 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 Haoyi Zhou. Haoyi Zhou 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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