Chia-Hung Lien

460 citations
17 papers · 344 · h-index 8

Impact in

Papers in

Chia-Hung Lien

15 papers receiving 315 citations

Peers

Chia-Hung Lien
Comparison fields: 5 of 36
  • Computer Networks and Communications 119
  • Electrical and Electronic Engineering 264
  • Hardware and Architecture 27
  • Information Systems 71
  • Control and Systems Engineering 67
Replace Kwang-Roh Park with:
Kwang-Roh Park South Korea
Ruhani Ab Rahman Malaysia
Nabeel Akhtar United States
Keonhee Cho South Korea
John Harding
Benjamin Weyl Germany
Rebecca Copeland France
Ghada Badawy Canada
Massoud Reza Hashemi Iran
Jian Wan China
Chia-Hung Lien relative to Kwang-Roh Park South Korea Kwang-Roh Park's profile →
Citations per field
00.5×3.7×
Kwang-Roh Park · 1×
Citations per year

Countries citing papers authored by Chia-Hung Lien

Since Specialization
Citations

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

Fields of papers citing papers by Chia-Hung Lien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia-Hung Lien. 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 Chia-Hung Lien. The network helps show where Chia-Hung Lien may publish in the future.

Co-authors

The 4 scholars most cited alongside Chia-Hung Lien, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chia-Hung Lien Line = papers co-authored together Chia-Hung Lien links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2007104
2 200849
3 200742
4 200638
5 200937
6 200623
7 200513
8 200611
9 20087
10 20087
11 20124
12 20103
13 20093
14 20081
15 20061
16 20081
17 20140

About Chia-Hung Lien

Chia-Hung Lien is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition and Mechanical Engineering, having authored 17 papers that have together received 344 indexed citations. Recurring topics across this work include IoT-based Smart Home Systems (8 papers), Smart Grid Energy Management (6 papers), Energy Harvesting in Wireless Networks (4 papers), Cloud Computing and Resource Management (3 papers), Power Line Communications and Noise (3 papers), Green IT and Sustainability (3 papers), Caching and Content Delivery (2 papers) and Peer-to-Peer Network Technologies (2 papers). The work is most often cited by research in Computer Networks and Communications (119 citations), Electrical and Electronic Engineering (264 citations), Hardware and Architecture (27 citations), Information Systems (71 citations) and Control and Systems Engineering (67 citations). Chia-Hung Lien has collaborated with scholars based in Taiwan. Frequent co-authors include Ying‐Wen Bai, Ming-Bo Lin, Po‐An Chen and Yi-Ting Lee. Their work appears in journals such as IEEE Transactions on Consumer Electronics, IEEE Transactions on Instrumentation and Measurement and Conference proceedings - IEEE Instrumentation/Measurement Technology Conference.

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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