Yung-Lin Hsu

532 total citations · 1 hit paper
8 papers, 381 citations indexed

About

Yung-Lin Hsu is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Yung-Lin Hsu has authored 8 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Networks and Communications, 7 papers in Electrical and Electronic Engineering and 2 papers in Artificial Intelligence. Recurrent topics in Yung-Lin Hsu's work include IoT and Edge/Fog Computing (4 papers), Age of Information Optimization (4 papers) and IoT Networks and Protocols (4 papers). Yung-Lin Hsu is often cited by papers focused on IoT and Edge/Fog Computing (4 papers), Age of Information Optimization (4 papers) and IoT Networks and Protocols (4 papers). Yung-Lin Hsu collaborates with scholars based in Taiwan, Finland and Argentina. Yung-Lin Hsu's co-authors include Hung‐Yu Wei, Borching Su, Shao‐Yu Lien, Yenming Huang, Shin-Lin Shieh, Che-Wei Hsu, Mehdi Bennis, Chen–Feng Liu and Sumudu Samarakoon and has published in prestigious journals such as IEEE Access, IEEE Communications Magazine and IEEE Transactions on Communications.

In The Last Decade

Yung-Lin Hsu

8 papers receiving 369 citations

Hit Papers

5G New Radio: Waveform, Frame Structure, Multiple Access,... 2017 2026 2020 2023 2017 100 200 300

Peers

Yung-Lin Hsu
Comparison fields: 5 of 35
  • Electrical and Electronic Engineering 332
  • Computer Networks and Communications 165
  • Aerospace Engineering 54
  • Media Technology 24
  • Artificial Intelligence 22
Replace Marie‐Hélène Hamon with:
Marie‐Hélène Hamon France
Brijesh Kumbhani India
Faris B. Mismar United States
Daniel Larsson Sweden
Patrik Rugeland Sweden
Chunfeng Cui China
Abdulmalik Alwarafy Qatar
Maraj Uddin Ahmed Siddiqui Malaysia
Prabina Pattanayak India
Icaro Da Silva Sweden
Marie‐Hélène Hamon France View profile →
Citations per field, relative to Yung-Lin Hsu
Yung-Lin Hsu · 1×
Citations per year, relative to Yung-Lin Hsu
Yung-Lin Hsu · 1×

Countries citing papers authored by Yung-Lin Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Yung-Lin Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yung-Lin Hsu

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

All Works

8 of 8 papers shown
# Work Indexed citations
1 5
2
Age-optimal power allocation in industrial IoT:a risk-sensitive federated learning approach
6
3 18
4 2
5 13
6 7
7 3
8
5G New Radio: Waveform, Frame Structure, Multiple Access, and Initial Access breakdown →
327

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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