Chia‐Han Lee

2.7k citations
107 papers · 1.8k indexed · h-index 24

Impact in

Papers in

Chia‐Han Lee

104 papers receiving 1.8k citations

Peers

Chia‐Han Lee
Comparison fields: 5 of 117
  • Computer Networks and Communications 556
  • Biological Psychiatry 40
  • Electrical and Electronic Engineering 852
  • Computer Vision and Pattern Recognition 199
  • Signal Processing 94
Replace Johnson I. Agbinya with:
Johnson I. Agbinya Australia
Seungjoo Kim South Korea
Dimitrios Makrakis Canada
Jia Wu China
Peng Yi China
Shengbo Chen China
Yong Xie China
Zhiwen Zeng China
Ting Liu China
Junwei Zhou China
Chia‐Han Lee relative to Johnson I. Agbinya Australia Johnson I. Agbinya's profile →
Citations per field
00.5×4.4×
Johnson I. Agbinya · 1×
Citations per year

Countries citing papers authored by Chia‐Han Lee

Since Specialization
Citations

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

Fields of papers citing papers by Chia‐Han Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia‐Han Lee. 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‐Han Lee. The network helps show where Chia‐Han Lee may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Chia‐Han Lee, 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‐Han Lee Line = papers co-authored together Chia‐Han Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 202210
3 202118
4 202120
5 20202
6 20203
7 20204
8 202034
9 201920
10 201856
11 201758
12 201722
13 201749
14 201621
15 201637
16 20162
17 201651
18 20143
19 20134
20
Hardware architecture design of hybrid distributed video coding with frame level coding mode selection
20122

About Chia‐Han Lee

Chia‐Han Lee is a scholar working on Computer Networks and Communications, Biological Psychiatry, Electrical and Electronic Engineering, Signal Processing and General Decision Sciences, having authored 107 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (34 papers), Cooperative Communication and Network Coding (27 papers), Energy Harvesting in Wireless Networks (20 papers), Molecular Communication and Nanonetworks (11 papers), Cognitive Radio Networks and Spectrum Sensing (9 papers), Advanced Wireless Communication Techniques (9 papers), Advanced Wireless Communication Technologies (8 papers) and Wireless Body Area Networks (8 papers). The work is most often cited by research in Computer Networks and Communications (556 citations), Biological Psychiatry (40 citations), Electrical and Electronic Engineering (852 citations), Computer Vision and Pattern Recognition (199 citations) and Signal Processing (94 citations). Chia‐Han Lee has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Ping‐Cheng Yeh, Wayne Wolf, Wenjun Xu, Wen-Tsuen Chen, Kwang‐Cheng Chen, Tai‐Tien Wang, Tzu-Ming Lin, Shao‐Yi Chien, Zhiyong Feng and Tzu‐Ting Huang. Their work appears in journals such as IEEE Transactions on Wireless Communications, IEEE Transactions on Vehicular Technology, IEEE Wireless Communications Letters, IEEE Journal on Selected Areas in Communications and IEEE Access.

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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