Te-Chuan Chiu

834 citations
23 papers · 654 · h-index 11

Impact in

Papers in

Te-Chuan Chiu

20 papers receiving 644 citations

Peers

Te-Chuan Chiu
Comparison fields: 5 of 42
  • Computer Networks and Communications 402
  • Electrical and Electronic Engineering 392
  • Information Systems 92
  • Computer Science Applications 19
  • Artificial Intelligence 106
Replace Yuan‐Yao Shih with:
Yuan‐Yao Shih Taiwan
Yiqin Deng China
Pavlos Athanasios Apostolopoulos United States
Yasir Faheem Pakistan
Minming Ni China
Benedetta Picano Italy
Hossam Afifi France
Te-Chuan Chiu relative to Yuan‐Yao Shih Taiwan Yuan‐Yao Shih's profile →
Citations per field
00.5×1.5×
Yuan‐Yao Shih · 1×
Citations per year

Countries citing papers authored by Te-Chuan Chiu

Since Specialization
Citations

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

Fields of papers citing papers by Te-Chuan Chiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Te-Chuan Chiu. 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 Te-Chuan Chiu. The network helps show where Te-Chuan Chiu may publish in the future.

Co-authors

The 20 scholars most cited alongside Te-Chuan Chiu, 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 Te-Chuan Chiu Line = papers co-authored together Te-Chuan Chiu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016145
2 2016115
3 202071
4 201767
5 201247
6 201844
7 201442
8 201638
9 202025
10 202312
11 201711
12 20218
13 20146
14 20216
15 20225
16 20215
17 20143
18 20162
19 20241
20 20191

About Te-Chuan Chiu

Te-Chuan Chiu is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Control and Systems Engineering and Aerospace Engineering, having authored 23 papers that have together received 654 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (9 papers), Privacy-Preserving Technologies in Data (7 papers), Age of Information Optimization (4 papers), IoT Networks and Protocols (4 papers), Advanced MIMO Systems Optimization (4 papers), Advanced Wireless Network Optimization (3 papers), Advanced Wireless Communication Technologies (3 papers) and Stochastic Gradient Optimization Techniques (3 papers). The work is most often cited by research in Computer Networks and Communications (402 citations), Electrical and Electronic Engineering (392 citations), Information Systems (92 citations), Computer Science Applications (19 citations) and Artificial Intelligence (106 citations). Te-Chuan Chiu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Ai‐Chun Pang, Yuan‐Yao Shih, Wei‐Ho Chung, Hung‐Yu Wei, Junshan Zhang, Ya-Ju Yu, Chun‐Ting Chou, Chih-Yu Wang, Pi-Cheng Hsiu and Jiajia Liu. Their work appears in journals such as IEEE Transactions on Services Computing, IEEE Internet of Things Journal, IEEE Network, IEEE Transactions on Wireless Communications and IEEE Transactions on Mobile Computing.

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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