Te-Chuan Chiu

857 citations
29 papers · 732 · h-index 12

Impact in

Papers in

Te-Chuan Chiu

23 papers receiving 723 citations

Peers

Te-Chuan Chiu
Comparison fields: 5 of 30
  • Computer Networks and Communications 450
  • Electrical and Electronic Engineering 227
  • Artificial Intelligence 90
  • Information Systems 27
  • Aerospace Engineering 26
Replace Zoubeir Mlika with:
Zoubeir Mlika Canada
Ali Maatouk France
Hatim Chergui Spain
Wonjong Noh South Korea
Kazuto Yano Japan
Raja Karmakar India
Mattia Merluzzi Italy
Amal Feriani Canada
Paweł Kryszkiewicz Poland
Shiwei Lai China
Te-Chuan Chiu relative to Zoubeir Mlika Canada Zoubeir Mlika's profile →
Citations per field
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Zoubeir Mlika · 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 25 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 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016153
2 2016122
3 202084
4 201776
5 201254
6 201446
7 201846
8 201639
9 202030
10 202319
11 201714
12 202113
13 20147
14 20217
15 20216
16 20225
17 20143
18 20162
19 20252
20 20191

About Te-Chuan Chiu

Te-Chuan Chiu is a scholar working on Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 29 papers that have together received 732 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (13 papers), Privacy-Preserving Technologies in Data (9 papers), Advanced MIMO Systems Optimization (3 papers), Smart Grid Energy Management (2 papers), Domain Adaptation and Few-Shot Learning (1 paper), Network Traffic and Congestion Control (1 paper), Adversarial Robustness in Machine Learning (1 paper) and Energy Harvesting in Wireless Networks (1 paper). The work is most often cited by research in Computer Networks and Communications (450 citations), Electrical and Electronic Engineering (227 citations), Artificial Intelligence (90 citations), Information Systems (27 citations) and Aerospace Engineering (26 citations). Te-Chuan Chiu has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Ai‐Chun Pang, Yuan‐Yao Shih, Wei‐Ho Chung, Hung‐Yu Wei, Junshan Zhang, Ya-Ju Yu, Chih-Yu Wang, Chun‐Ting Chou, Pi-Cheng Hsiu and Jiajia Liu. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Transactions on Services Computing, IEEE Transactions on Mobile Computing, IEEE Network and IEEE Transactions on Wireless Communications.

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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