Xiaoyan Yang

67 total papers · 863 total citations
30 papers, 502 citations indexed

About

Xiaoyan Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Xiaoyan Yang has authored 30 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 5 papers in Computer Networks and Communications. Recurrent topics in Xiaoyan Yang's work include Video Surveillance and Tracking Methods (4 papers), Topic Modeling (4 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Xiaoyan Yang is often cited by papers focused on Video Surveillance and Tracking Methods (4 papers), Topic Modeling (4 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Xiaoyan Yang collaborates with scholars based in China, Singapore and United States. Xiaoyan Yang's co-authors include Wei Wang, Dongxiang Zhang, Yueting Zhuang, Beng Chin Ooi, Cecilia M. Procopiuc, Divesh Srivastava, Ruichu Cai, Zijian Li, Zhenjie Zhang and Boyan Xu and has published in prestigious journals such as Environment International, IEEE Access and PLoS Computational Biology.

In The Last Decade

Xiaoyan Yang

29 papers receiving 475 citations

Author Peers

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

Author						Papers	Cites
Xiaoyan Yang	220	205	120	81	76	30	502
Jie Zhou	224 1.0×	239 1.2×	60 0.5×	48 0.6×	31 0.4×	27	500
Paweł Karczmarek	258 1.2×	147 0.7×	112 0.9×	25 0.3×	117 1.5×	58	553
Javad Hamidzadeh	415 1.9×	137 0.7×	59 0.5×	100 1.2×	102 1.3×	43	601
Udayan Khurana	313 1.4×	173 0.8×	104 0.9×	102 1.3×	147 1.9×	27	595
Young-Tack Park	210 1.0×	247 1.2×	40 0.3×	61 0.8×	43 0.6×	48	501
Durgesh Srivastava	202 0.9×	80 0.4×	58 0.5×	92 1.1×	131 1.7×	42	544
B. Surendiran	307 1.4×	116 0.6×	86 0.7×	114 1.4×	146 1.9×	59	538
Ke Zhu	224 1.0×	146 0.7×	55 0.5×	69 0.9×	41 0.5×	40	575
Xiangyan Tang	224 1.0×	101 0.5×	79 0.7×	83 1.0×	135 1.8×	45	467
Dara Bahri	339 1.5×	205 1.0×	62 0.5×	61 0.8×	25 0.3×	15	612

Countries citing papers authored by Xiaoyan Yang

Since Specialization

Citations

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

Fields of papers citing papers by Xiaoyan Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyan Yang

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