Hui Guan

127 total papers · 789 total citations
74 papers, 514 citations indexed

About

Hui Guan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Hui Guan has authored 74 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 24 papers in Computer Vision and Pattern Recognition and 17 papers in Information Systems. Recurrent topics in Hui Guan's work include Advanced Neural Network Applications (9 papers), Software Engineering Research (9 papers) and Hydrocarbon exploration and reservoir analysis (8 papers). Hui Guan is often cited by papers focused on Advanced Neural Network Applications (9 papers), Software Engineering Research (9 papers) and Hydrocarbon exploration and reservoir analysis (8 papers). Hui Guan collaborates with scholars based in United States, China and United Kingdom. Hui Guan's co-authors include Baowei Wang, Naixue Xiong, Xipeng Shen, K. S. Sorbie, Dermot F. Brougham, K. J. Packer, Marco Serafini, Hongji Yang, Fudong Zhang and Yang Shen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Communications of the ACM and Optics Express.

In The Last Decade

Hui Guan

68 papers receiving 489 citations

Author Peers

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

Author						Papers	Cites
Hui Guan	139	130	102	99	86	74	514
Guojian Cheng	103 0.7×	168 1.3×	93 0.9×	112 1.1×	100 1.2×	64	591
Ben Liu	42 0.3×	154 1.2×	54 0.5×	73 0.7×	51 0.6×	55	481
Liqun Shan	168 1.2×	88 0.7×	215 2.1×	189 1.9×	82 1.0×	39	582
Tarek Helmy	58 0.4×	235 1.8×	97 1.0×	84 0.8×	59 0.7×	68	552
Cheng Lin-song	103 0.7×	38 0.3×	266 2.6×	198 2.0×	33 0.4×	42	516
Samuel Xavier‐de‐Souza	51 0.4×	114 0.9×	78 0.8×	76 0.8×	38 0.4×	68	616
Dandan Hu	199 1.4×	22 0.2×	226 2.2×	220 2.2×	73 0.8×	70	614
Hao Xu	31 0.2×	85 0.7×	34 0.3×	23 0.2×	24 0.3×	59	492
Di He	51 0.4×	262 2.0×	101 1.0×	63 0.6×	175 2.0×	29	609
Somnath Sinha	199 1.4×	52 0.4×	152 1.5×	153 1.5×	11 0.1×	42	453

Countries citing papers authored by Hui Guan

Since Specialization

Citations

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

Fields of papers citing papers by Hui Guan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hui Guan

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