Guo Ya-jun

143 total papers · 959 total citations
81 papers, 681 citations indexed

About

Guo Ya-jun is a scholar working on Information Systems, Ecological Modeling and Computer Networks and Communications. According to data from OpenAlex, Guo Ya-jun has authored 81 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Information Systems, 21 papers in Ecological Modeling and 17 papers in Computer Networks and Communications. Recurrent topics in Guo Ya-jun's work include Evaluation Methods in Various Fields (21 papers), Advanced Decision-Making Techniques (15 papers) and User Authentication and Security Systems (12 papers). Guo Ya-jun is often cited by papers focused on Evaluation Methods in Various Fields (21 papers), Advanced Decision-Making Techniques (15 papers) and User Authentication and Security Systems (12 papers). Guo Ya-jun collaborates with scholars based in China and United States. Guo Ya-jun's co-authors include Yimin Guo, Zhenfeng Zhang, Pingtao Yi, Shunbo Yao, Xuexi Huo, Yuan Yao, Fengmei Ma, Yiheng Cai, Zhenfeng Zhang and Xiaowei Shao and has published in prestigious journals such as Molecular Cell, International Journal of Environmental Research and Public Health and Neurocomputing.

In The Last Decade

Guo Ya-jun

72 papers receiving 663 citations

Author Peers

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

Author						Papers	Cites
Guo Ya-jun	267	234	149	92	71	81	681
Muaz A. Niazi	259 1.0×	103 0.4×	140 0.9×	70 0.8×	73 1.0×	53	782
Henda Ben Ghézala	183 0.7×	220 0.9×	211 1.4×	29 0.3×	25 0.4×	113	780
Qian Huang	142 0.5×	177 0.8×	240 1.6×	55 0.6×	43 0.6×	55	741
Luca Spalazzi	192 0.7×	151 0.6×	195 1.3×	17 0.2×	42 0.6×	93	776
Hugh Medal	251 0.9×	87 0.4×	123 0.8×	37 0.4×	86 1.2×	43	731
Yong Peng	156 0.6×	199 0.9×	91 0.6×	41 0.4×	27 0.4×	54	556
Xiaoli Wang	136 0.5×	117 0.5×	231 1.6×	76 0.8×	33 0.5×	77	569
Adamu Abubakar	154 0.6×	184 0.8×	246 1.7×	88 1.0×	46 0.6×	98	786
Nguyễn Long Giang	153 0.6×	171 0.7×	235 1.6×	126 1.4×	76 1.1×	69	741
Yang Xu	178 0.7×	91 0.4×	164 1.1×	43 0.5×	22 0.3×	71	644

Countries citing papers authored by Guo Ya-jun

Since Specialization

Citations

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

Fields of papers citing papers by Guo Ya-jun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guo Ya-jun. 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 Guo Ya-jun. The network helps show where Guo Ya-jun may publish in the future.

Co-authorship network of co-authors of Guo Ya-jun

This figure shows the co-authorship network connecting the top 25 collaborators of Guo Ya-jun. A scholar is included among the top collaborators of Guo Ya-jun 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 Guo Ya-jun. Guo Ya-jun 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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