Feng Yuan

40 total papers · 526 total citations
28 papers, 405 citations indexed

About

Feng Yuan is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Computer Vision and Pattern Recognition. According to data from OpenAlex, Feng Yuan has authored 28 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Electrical and Electronic Engineering, 5 papers in Hardware and Architecture and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Feng Yuan's work include Low-power high-performance VLSI design (7 papers), Radiation Effects in Electronics (5 papers) and Environmental Changes in China (3 papers). Feng Yuan is often cited by papers focused on Low-power high-performance VLSI design (7 papers), Radiation Effects in Electronics (5 papers) and Environmental Changes in China (3 papers). Feng Yuan collaborates with scholars based in China, Hong Kong and United States. Feng Yuan's co-authors include Qiang Xu, Rong Ye, Rakesh Kumar, Ting Wang, Yuxi Liu, Jinliang Huang, Huasheng Hong, Zhenyu Zhang, Shen Wei and Jin Zhang and has published in prestigious journals such as Food Chemistry, Environmental Pollution and IEEE Access.

In The Last Decade

Feng Yuan

23 papers receiving 399 citations

Author Peers

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

Author						Papers	Cites
Feng Yuan	207	113	49	47	44	28	405
Peiyu Liao	123 0.6×	75 0.7×	26 0.5×	11 0.2×	79 1.8×	27	383
Sara Salehi	106 0.5×	6 0.1×	59 1.2×	11 0.2×	19 0.4×	27	482
Kichul Jung	67 0.3×	45 0.4×	12 0.2×	6 0.1×	204 4.6×	39	439
Ahmed Radwan	31 0.1×	5 0.0×	45 0.9×	26 0.6×	149 3.4×	32	409
Cheng‐Chieh Huang	68 0.3×	146 1.3×	47 1.0×	7 0.1×	4 0.1×	31	454
Yunzhao Li	134 0.6×	11 0.1×	6 0.1×	17 0.4×	11 0.3×	21	482
Kuang‐Yao Lee	205 1.0×	121 1.1×	5 0.1×	13 0.3×	92 2.1×	29	450
Ling Shang	73 0.4×	17 0.2×	53 1.1×	2 0.0×	247 5.6×	36	466
P. Thambidurai	17 0.1×	13 0.1×	46 0.9×	23 0.5×	62 1.4×	43	459
Chen Wang	21 0.1×	16 0.1×	8 0.2×	227 4.8×	12 0.3×	22	407

Countries citing papers authored by Feng Yuan

Since Specialization

Citations

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

Fields of papers citing papers by Feng Yuan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Yuan

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