Guangyao Shen

16 total papers · 900 total citations
13 papers, 597 citations indexed

About

Guangyao Shen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Social Psychology. According to data from OpenAlex, Guangyao Shen has authored 13 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Social Psychology. Recurrent topics in Guangyao Shen's work include Sentiment Analysis and Opinion Mining (5 papers), Multimodal Machine Learning Applications (4 papers) and Mental Health via Writing (4 papers). Guangyao Shen is often cited by papers focused on Sentiment Analysis and Opinion Mining (5 papers), Multimodal Machine Learning Applications (4 papers) and Mental Health via Writing (4 papers). Guangyao Shen collaborates with scholars based in China, Singapore and United States. Guangyao Shen's co-authors include Tat‐Seng Chua, Jia Jia, Wenwu Zhu, Fuli Feng, Liqiang Nie, Tianrui Hu, Jie Tang, Huijie Lin, Ling Feng and Jia Jia and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Knowledge and Data Engineering and Knowledge-Based Systems.

In The Last Decade

Guangyao Shen

13 papers receiving 565 citations

Author Peers

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

Author						Papers	Cites
Guangyao Shen	358	353	204	160	113	13	597
M. Sazzad Hussain	178 0.5×	152 0.4×	100 0.5×	139 0.9×	25 0.2×	20	530
Prerna Chikersal	130 0.4×	92 0.3×	214 1.0×	199 1.2×	37 0.3×	13	531
Laurent Son Nguyen	165 0.5×	145 0.4×	46 0.2×	145 0.9×	100 0.9×	22	572
Charlie K. Dagli	96 0.3×	192 0.5×	35 0.2×	234 1.5×	232 2.1×	16	535
Cristian Ţăpuş	341 1.0×	247 0.7×	39 0.2×	53 0.3×	76 0.7×	17	600
Chang Su	77 0.2×	215 0.6×	61 0.3×	88 0.6×	16 0.1×	26	624
Rachel Kirby	291 0.8×	143 0.4×	33 0.2×	72 0.5×	147 1.3×	10	518
Stanisław Saganowski	68 0.2×	159 0.5×	32 0.2×	188 1.2×	61 0.5×	28	548
Shreya Ghosh	109 0.3×	146 0.4×	30 0.1×	214 1.3×	224 2.0×	23	550
Ilkka Kosunen	136 0.4×	118 0.3×	42 0.2×	125 0.8×	65 0.6×	34	642

Countries citing papers authored by Guangyao Shen

Since Specialization

Citations

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

Fields of papers citing papers by Guangyao Shen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangyao Shen

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