Ting-Yu Lin

89 total papers · 978 total citations
49 papers, 703 citations indexed

About

Ting-Yu Lin is a scholar working on Computer Networks and Communications, Industrial and Manufacturing Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Ting-Yu Lin has authored 49 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Networks and Communications, 8 papers in Industrial and Manufacturing Engineering and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Ting-Yu Lin's work include Wireless Networks and Protocols (9 papers), Bluetooth and Wireless Communication Technologies (7 papers) and Energy Efficient Wireless Sensor Networks (7 papers). Ting-Yu Lin is often cited by papers focused on Wireless Networks and Protocols (9 papers), Bluetooth and Wireless Communication Technologies (7 papers) and Energy Efficient Wireless Sensor Networks (7 papers). Ting-Yu Lin collaborates with scholars based in Taiwan, China and United States. Ting-Yu Lin's co-authors include Kun-Ru Wu, Yu‐Chee Tseng, Yingying Xiao, Wenhui Fan, Zhang Li, Zhen Chen, Chun Zhao, Kunyu Wang, Xiaohan Wang and Chien‐Wen Chen and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, IEEE Transactions on Communications and IEEE Transactions on Vehicular Technology.

In The Last Decade

Ting-Yu Lin

44 papers receiving 670 citations

Author Peers

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

Author Last Decade Papers Cites
Ting-Yu Lin 373 179 156 82 65 49 703
Eugene Y. Song 403 1.1× 144 0.8× 215 1.4× 42 0.5× 65 1.0× 50 698
Hoa Tran‐Dang 457 1.2× 118 0.7× 232 1.5× 155 1.9× 88 1.4× 37 727
K. K. Pattanaik 523 1.4× 103 0.6× 290 1.9× 111 1.4× 85 1.3× 64 757
Teresa Olivares 340 0.9× 188 1.1× 220 1.4× 77 0.9× 27 0.4× 55 843
Nasrullah Armi 353 0.9× 119 0.7× 186 1.2× 129 1.6× 74 1.1× 68 640
Hongwei Ding 340 0.9× 61 0.3× 180 1.2× 71 0.9× 102 1.6× 82 717
Fang–Jing Wu 486 1.3× 46 0.3× 254 1.6× 76 0.9× 83 1.3× 45 854
Federico Montori 400 1.1× 75 0.4× 254 1.6× 113 1.4× 98 1.5× 62 787
Claudio Pastrone 575 1.5× 62 0.3× 144 0.9× 107 1.3× 132 2.0× 50 750
Teodora Sanislav 284 0.8× 82 0.5× 357 2.3× 67 0.8× 80 1.2× 30 812

Countries citing papers authored by Ting-Yu Lin

Since Specialization
Citations

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

Fields of papers citing papers by Ting-Yu Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting-Yu Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Ting-Yu Lin. A scholar is included among the top collaborators of Ting-Yu 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 Ting-Yu Lin. Ting-Yu 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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2026