Yun Lin

25 total papers · 571 total citations
21 papers, 370 citations indexed

About

Yun Lin is a scholar working on Control and Systems Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yun Lin has authored 21 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Control and Systems Engineering, 6 papers in Biomedical Engineering and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yun Lin's work include Robot Manipulation and Learning (12 papers), Muscle activation and electromyography studies (5 papers) and Robotic Mechanisms and Dynamics (3 papers). Yun Lin is often cited by papers focused on Robot Manipulation and Learning (12 papers), Muscle activation and electromyography studies (5 papers) and Robotic Mechanisms and Dynamics (3 papers). Yun Lin collaborates with scholars based in United States, China and Taiwan. Yun Lin's co-authors include Yu Sun, Leyuan Fang, Pedram Ghamisi, Shutao Li, Yu Sun, Xiao‐Guang Sun, Kuan Chen, Chyuan Haur Kao, Yongqiang Huang and Redwan Alqasemi and has published in prestigious journals such as Electrochimica Acta, IEEE Access and The International Journal of Robotics Research.

In The Last Decade

Yun Lin

20 papers receiving 357 citations

Author Peers

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

Author						Papers	Cites
Yun Lin	210	124	65	64	54	21	370
Junjun Li	92 0.4×	95 0.8×	57 0.9×	19 0.3×	40 0.7×	26	372
Pedro Ribeiro	51 0.2×	161 1.3×	80 1.2×	8 0.1×	44 0.8×	21	372
Claire Dune	177 0.8×	115 0.9×	129 2.0×	19 0.3×	69 1.3×	23	358
Kotaro Nagahama	170 0.8×	92 0.7×	101 1.6×	20 0.3×	105 1.9×	33	376
Emre Başeski	185 0.9×	64 0.5×	189 2.9×	54 0.8×	22 0.4×	30	391
LI Jian-hua	82 0.4×	104 0.8×	52 0.8×	25 0.4×	72 1.3×	34	367
Noor A. Ibraheem	36 0.2×	40 0.3×	130 2.0×	25 0.4×	7 0.1×	14	380
Wolfgang Sepp	115 0.5×	100 0.8×	167 2.6×	23 0.4×	61 1.1×	16	372
Cheng Wang	110 0.5×	51 0.4×	119 1.8×	20 0.3×	71 1.3×	26	431
Salihu Aliyu	52 0.2×	76 0.6×	110 1.7×	13 0.2×	15 0.3×	16	377

Countries citing papers authored by Yun Lin

Since Specialization

Citations

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

Fields of papers citing papers by Yun Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Lin

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