Shikai Guo

119 total papers · 798 total citations
72 papers, 492 citations indexed

About

Shikai Guo is a scholar working on Information Systems, Software and Artificial Intelligence. According to data from OpenAlex, Shikai Guo has authored 72 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Information Systems, 32 papers in Software and 23 papers in Artificial Intelligence. Recurrent topics in Shikai Guo's work include Software Engineering Research (38 papers), Software Testing and Debugging Techniques (20 papers) and Software Reliability and Analysis Research (20 papers). Shikai Guo is often cited by papers focused on Software Engineering Research (38 papers), Software Testing and Debugging Techniques (20 papers) and Software Reliability and Analysis Research (20 papers). Shikai Guo collaborates with scholars based in China, United States and Macao. Shikai Guo's co-authors include Rong Chen, Yaqing Liu, Hui Li, Tian-Lun Zhang, Xizhao Wang, Xiangxin Wang, Xiao Sun, Chen Guo, Xinyi Zhang and Li‐Ying Hao and has published in prestigious journals such as Bioinformatics, Chemical Communications and Expert Systems with Applications.

In The Last Decade

Shikai Guo

52 papers receiving 484 citations

Author Peers

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

Author						Papers	Cites
Shikai Guo	213	165	124	66	64	72	492
Qiang Zeng	244 1.1×	217 1.3×	83 0.7×	189 2.9×	263 4.1×	55	533
Hao Liu	189 0.9×	57 0.3×	41 0.3×	309 4.7×	51 0.8×	33	543
Doohwan Kim	82 0.4×	53 0.3×	42 0.3×	134 2.0×	27 0.4×	79	533
Mohamed Salah Hamdi	228 1.1×	115 0.7×	150 1.2×	71 1.1×	29 0.5×	36	489
Ho-Jin Choi	142 0.7×	158 1.0×	40 0.3×	45 0.7×	37 0.6×	88	475
Huanhuan Wang	97 0.5×	145 0.9×	10 0.1×	104 1.6×	44 0.7×	59	503
Radek Šilhavý	267 1.3×	123 0.7×	187 1.5×	78 1.2×	17 0.3×	63	533
Xiao He	149 0.7×	197 1.2×	100 0.8×	69 1.0×	74 1.2×	58	406
Sandeep Kumar	321 1.5×	161 1.0×	179 1.4×	152 2.3×	29 0.5×	65	532
Wentao Wang	230 1.1×	113 0.7×	93 0.8×	168 2.5×	33 0.5×	59	468

Countries citing papers authored by Shikai Guo

Since Specialization

Citations

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

Fields of papers citing papers by Shikai Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shikai Guo

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