Xiaohua Yang

167 total papers · 913 total citations
63 papers, 579 citations indexed

About

Xiaohua Yang is a scholar working on Artificial Intelligence, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Xiaohua Yang has authored 63 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 14 papers in Information Systems and 13 papers in Electrical and Electronic Engineering. Recurrent topics in Xiaohua Yang's work include Software Testing and Debugging Techniques (5 papers), Rough Sets and Fuzzy Logic (4 papers) and Fault Detection and Control Systems (4 papers). Xiaohua Yang is often cited by papers focused on Software Testing and Debugging Techniques (5 papers), Rough Sets and Fuzzy Logic (4 papers) and Fault Detection and Control Systems (4 papers). Xiaohua Yang collaborates with scholars based in China, Canada and United States. Xiaohua Yang's co-authors include Xiao-Wen Chang, Tianyang Zhou, Jianqiang Li, Zhifeng Yang, Alfredo Huete, Xiaoming Wang, Pei Wang, Jingfeng Huang, Zhengtao Ai and Cheuk Ming Mak and has published in prestigious journals such as The Plant Cell, American Journal of Obstetrics and Gynecology and IEEE Access.

In The Last Decade

Xiaohua Yang

49 papers receiving 544 citations

Author Peers

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

Author						Papers	Cites
Xiaohua Yang	289	168	89	88	61	63	579
Ming Yang	260 0.9×	233 1.4×	45 0.5×	73 0.8×	73 1.2×	49	624
Giovanni Pugliano	401 1.4×	172 1.0×	136 1.5×	36 0.4×	93 1.5×	47	674
Nan Shen	185 0.6×	63 0.4×	79 0.9×	67 0.8×	33 0.5×	47	515
Xiaoxing He	260 0.9×	203 1.2×	96 1.1×	67 0.8×	41 0.7×	63	610
Yan Xu	351 1.2×	229 1.4×	84 0.9×	56 0.6×	186 3.0×	38	697
Ruijie Xi	231 0.8×	101 0.6×	89 1.0×	30 0.3×	49 0.8×	41	505
Yifei Yao	182 0.6×	81 0.5×	65 0.7×	60 0.7×	43 0.7×	42	513
Jingxiang Gao	408 1.4×	110 0.7×	191 2.1×	186 2.1×	19 0.3×	60	597
Jay Hyoun Kwon	393 1.4×	327 1.9×	47 0.5×	69 0.8×	57 0.9×	65	566
Qusen Chen	376 1.3×	198 1.2×	72 0.8×	34 0.4×	89 1.5×	56	602

Countries citing papers authored by Xiaohua Yang

Since Specialization

Citations

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

Fields of papers citing papers by Xiaohua Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohua Yang

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