Liyang Chen

51 total papers · 486 total citations
20 papers, 235 citations indexed

About

Liyang Chen is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Liyang Chen has authored 20 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 9 papers in Signal Processing and 9 papers in Artificial Intelligence. Recurrent topics in Liyang Chen's work include Speech and Audio Processing (6 papers), Speech Recognition and Synthesis (6 papers) and Face recognition and analysis (5 papers). Liyang Chen is often cited by papers focused on Speech and Audio Processing (6 papers), Speech Recognition and Synthesis (6 papers) and Face recognition and analysis (5 papers). Liyang Chen collaborates with scholars based in China, Hong Kong and United States. Liyang Chen's co-authors include Xinyi Le, Juntong Xi, Nian Zhang, Zhiyuan You, Zhiyong Wu, Yongquan Chen, Runnan Li, Yifeng Liu, Shiyin Kang and Haiyong Xie and has published in prestigious journals such as IEEE Access, Neurocomputing and Neural Networks.

In The Last Decade

Liyang Chen

17 papers receiving 227 citations

Author Peers

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

Author						Papers	Cites
Liyang Chen	113	80	50	30	29	20	235
Harald Ganster	69 0.6×	140 1.8×	56 1.1×	9 0.3×	16 0.6×	22	270
Marcin Piekarczyk	41 0.4×	76 0.9×	23 0.5×	8 0.3×	20 0.7×	32	199
Tushar Kumar	50 0.4×	76 0.9×	49 1.0×	18 0.6×	14 0.5×	32	199
Enjie Ghorbel	77 0.7×	123 1.5×	10 0.2×	6 0.2×	18 0.6×	30	249
Miao Xin	79 0.7×	195 2.4×	45 0.9×	3 0.1×	29 1.0×	31	311
Haitian Zheng	64 0.6×	194 2.4×	14 0.3×	15 0.5×	29 1.0×	24	322
Yunkang Cao	198 1.8×	75 0.9×	23 0.5×	68 2.3×	42 1.4×	25	258
Ce Gao	56 0.5×	188 2.4×	40 0.8×	8 0.3×	4 0.1×	22	301
Robert W. McLaren	69 0.6×	105 1.3×	20 0.4×	10 0.3×	29 1.0×	16	232
Junran Peng	134 1.2×	175 2.2×	9 0.2×	12 0.4×	11 0.4×	22	292

Countries citing papers authored by Liyang Chen

Since Specialization

Citations

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

Fields of papers citing papers by Liyang Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liyang Chen

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