Guilin Chen

85 total papers · 890 total citations
48 papers, 608 citations indexed

About

Guilin Chen is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Guilin Chen has authored 48 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Networks and Communications, 16 papers in Computer Vision and Pattern Recognition and 15 papers in Artificial Intelligence. Recurrent topics in Guilin Chen's work include Context-Aware Activity Recognition Systems (14 papers), Speech Recognition and Synthesis (6 papers) and IoT and Edge/Fog Computing (6 papers). Guilin Chen is often cited by papers focused on Context-Aware Activity Recognition Systems (14 papers), Speech Recognition and Synthesis (6 papers) and IoT and Edge/Fog Computing (6 papers). Guilin Chen collaborates with scholars based in China, Taiwan and United States. Guilin Chen's co-authors include Aiguo Wang, Shenghui Zhao, Chih‐Yung Chang, Jing Yang, Li Liu, Ning An, Hui Tian, Lian Li, Xuzhen Zhu and Jinjun Liu and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and Sensors.

In The Last Decade

Guilin Chen

40 papers receiving 590 citations

Author Peers

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

Author						Papers	Cites
Guilin Chen	351	213	178	144	105	48	608
S. Padmavathi	242 0.7×	178 0.8×	184 1.0×	131 0.9×	95 0.9×	47	675
Niall Twomey	280 0.8×	154 0.7×	109 0.6×	113 0.8×	86 0.8×	39	514
Liang Wang	409 1.2×	210 1.0×	138 0.8×	106 0.7×	152 1.4×	35	650
E. Ramanujam	235 0.7×	100 0.5×	129 0.7×	132 0.9×	49 0.5×	37	583
Kyuchang Kang	320 0.9×	193 0.9×	101 0.6×	96 0.7×	101 1.0×	53	506
Gianfranco Lombardo	205 0.6×	111 0.5×	133 0.7×	116 0.8×	62 0.6×	31	535
Lei Fang	273 0.8×	374 1.8×	120 0.7×	169 1.2×	128 1.2×	19	612
Haoxi Zhang	156 0.4×	131 0.6×	223 1.3×	68 0.5×	79 0.8×	39	532
Maria Valero	171 0.5×	184 0.9×	190 1.1×	210 1.5×	147 1.4×	60	695
Timo Sztyler	498 1.4×	204 1.0×	235 1.3×	136 0.9×	112 1.1×	26	693

Countries citing papers authored by Guilin Chen

Since Specialization

Citations

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

Fields of papers citing papers by Guilin Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guilin Chen

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