Yun-Wei Lin

466 total citations
10 papers, 292 citations indexed

About

Yun-Wei Lin is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Yun-Wei Lin has authored 10 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Networks and Communications, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Yun-Wei Lin's work include IoT and Edge/Fog Computing (4 papers), Smart Agriculture and AI (3 papers) and Context-Aware Activity Recognition Systems (3 papers). Yun-Wei Lin is often cited by papers focused on IoT and Edge/Fog Computing (4 papers), Smart Agriculture and AI (3 papers) and Context-Aware Activity Recognition Systems (3 papers). Yun-Wei Lin collaborates with scholars based in Taiwan and Canada. Yun-Wei Lin's co-authors include Yi‐Bing Lin, Wenliang Chen, Phone Lin, Hui-Nien Hung and Yifeng Wu and has published in prestigious journals such as IEEE Access, Sensors and IEEE Internet of Things Journal.

In The Last Decade

Yun-Wei Lin

9 papers receiving 278 citations

Peers

Yun-Wei Lin
Comparison fields: 5 of 72
  • Plant Science 136
  • Computer Networks and Communications 72
  • Electrical and Electronic Engineering 57
  • Analytical Chemistry 47
  • Computer Vision and Pattern Recognition 33
Replace Mamatha Balachandra with:
Mamatha Balachandra India
Nikos Petrellis Greece
Vishal Pallagani United States
Vedant Khandelwal United States
Aymen I. Zreikat Kuwait
Mihaela Hnatiuc Romania
S. Umamaheswari India
Huaji Zhu China
Ahmed Abdelmoamen Ahmed United States
Teek Parval Sharma India
Mamatha Balachandra India View profile →
Citations per field, relative to Yun-Wei Lin
Yun-Wei Lin · 1×
Citations per year, relative to Yun-Wei Lin
Yun-Wei Lin · 1×

Countries citing papers authored by Yun-Wei Lin

Since Specialization
Citations

This map shows the geographic impact of Yun-Wei 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-Wei 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-Wei Lin more than expected).

Fields of papers citing papers by Yun-Wei Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun-Wei Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Yun-Wei Lin. A scholar is included among the top collaborators of Yun-Wei 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-Wei Lin. Yun-Wei Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
# Work Indexed citations
1 0
2 1
3 2
4 7
5 12
6 1
7 33
8 138
9 29
10 69

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