Ying Guo

113 total papers · 832 total citations
64 papers, 539 citations indexed

About

Ying Guo is a scholar working on Computer Networks and Communications, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Ying Guo has authored 64 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Networks and Communications, 20 papers in Artificial Intelligence and 14 papers in Control and Systems Engineering. Recurrent topics in Ying Guo's work include Optimization and Search Problems (11 papers), Machine Learning and Algorithms (9 papers) and Adaptive Control of Nonlinear Systems (6 papers). Ying Guo is often cited by papers focused on Optimization and Search Problems (11 papers), Machine Learning and Algorithms (9 papers) and Adaptive Control of Nonlinear Systems (6 papers). Ying Guo collaborates with scholars based in China, United Kingdom and Australia. Ying Guo's co-authors include A R Mileham, Geraint Owen, Shenghong Li, Qilian Liang, Bo Zhang, Xianbo Xiang, Guohua Xu, Changsheng Zhang, Weidong Li and Liang Gao and has published in prestigious journals such as Sensors, IEEE Transactions on Cybernetics and Neurocomputing.

In The Last Decade

Ying Guo

58 papers receiving 520 citations

Author Peers

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

Author						Papers	Cites
Ying Guo	248	105	101	92	76	64	539
Jiacun Wang	252 1.0×	102 1.0×	35 0.3×	45 0.5×	69 0.9×	53	581
Wei Luo	144 0.6×	122 1.2×	88 0.9×	43 0.5×	154 2.0×	46	615
Yonghua Zhou	169 0.7×	69 0.7×	73 0.7×	50 0.5×	169 2.2×	57	564
Heng Zhang	57 0.2×	104 1.0×	82 0.8×	100 1.1×	67 0.9×	76	586
Edwin Hou	77 0.3×	122 1.2×	65 0.6×	115 1.3×	179 2.4×	31	594
Ma Liang	235 0.9×	140 1.3×	53 0.5×	79 0.9×	152 2.0×	76	539
Milica Petrović	202 0.8×	206 2.0×	80 0.8×	38 0.4×	83 1.1×	34	585
Lidia Jackowska-Strumiłło	82 0.3×	62 0.6×	188 1.9×	63 0.7×	52 0.7×	56	477
Sheng Liu	155 0.6×	287 2.7×	52 0.5×	71 0.8×	69 0.9×	63	567
Yaguang Kong	203 0.8×	69 0.7×	101 1.0×	35 0.4×	74 1.0×	50	520

Countries citing papers authored by Ying Guo

Since Specialization

Citations

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

Fields of papers citing papers by Ying Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Guo

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