Yao Zhou

91 total papers · 1.4k total citations
49 papers, 861 citations indexed

About

Yao Zhou is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Science Applications. According to data from OpenAlex, Yao Zhou has authored 49 papers receiving a total of 861 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 6 papers in Computer Science Applications. Recurrent topics in Yao Zhou's work include Spectroscopy and Chemometric Analyses (6 papers), Mobile Crowdsensing and Crowdsourcing (6 papers) and Advanced Neural Network Applications (5 papers). Yao Zhou is often cited by papers focused on Spectroscopy and Chemometric Analyses (6 papers), Mobile Crowdsensing and Crowdsourcing (6 papers) and Advanced Neural Network Applications (5 papers). Yao Zhou collaborates with scholars based in China, United States and Switzerland. Yao Zhou's co-authors include Yi Zhang, Gary G. Yen, Guowei Wan, Shiyu Song, Jingrui He, Yi Wang, Xiufeng Liu, Mingyang Sun, Lei Zhang and Baicheng Li and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Sensors and IEEE Transactions on Smart Grid.

In The Last Decade

Yao Zhou

44 papers receiving 832 citations

Author Peers

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

Author						Papers	Cites
Yao Zhou	267	247	159	150	65	49	861
Pengcheng Han	126 0.5×	343 1.4×	219 1.4×	39 0.3×	78 1.2×	52	906
M. Arif Wani	227 0.9×	271 1.1×	65 0.4×	87 0.6×	54 0.8×	63	792
Guoliang Liu	214 0.8×	274 1.1×	116 0.7×	72 0.5×	51 0.8×	98	941
Jun Liu	234 0.9×	217 0.9×	69 0.4×	77 0.5×	43 0.7×	79	884
Kuang Yu Huang	105 0.4×	175 0.7×	43 0.3×	66 0.4×	41 0.6×	28	720
Ivan Jordanov	307 1.1×	168 0.7×	57 0.4×	67 0.4×	19 0.3×	56	967
Rui Li	263 1.0×	215 0.9×	106 0.7×	80 0.5×	21 0.3×	73	822
En Fan	267 1.0×	230 0.9×	55 0.3×	89 0.6×	37 0.6×	45	956
Di Wang	318 1.2×	234 0.9×	60 0.4×	80 0.5×	29 0.4×	64	932
Juan Iván Nieto Hipólito	92 0.3×	127 0.5×	55 0.3×	193 1.3×	64 1.0×	79	754

Countries citing papers authored by Yao Zhou

Since Specialization

Citations

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

Fields of papers citing papers by Yao Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yao Zhou

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