Ting-Yi Wu

458 citations
46 papers · 329 · h-index 8

Impact in

Papers in

Ting-Yi Wu

43 papers receiving 314 citations

Peers

Ting-Yi Wu
Comparison fields: 5 of 67
  • Energy Engineering and Power Technology 14
  • Electrical and Electronic Engineering 227
  • Computer Networks and Communications 86
  • Artificial Intelligence 99
  • Safety, Risk, Reliability and Quality 24
Replace Wenzhong Tang with:
Wenzhong Tang United Kingdom
Xi Yang China
Du Wei China
Jiafei Liu China
Metin Varan Türkiye
Hamid Reza Abdolmohammadi Iran
Wenzhang Liu China
Sanghyeon Baeg South Korea
Wendy Ellens Netherlands
Hassan Yousif Ahmed Saudi Arabia
Ting-Yi Wu relative to Wenzhong Tang United Kingdom Wenzhong Tang's profile →
Citations per field
00.5×4.7×
Wenzhong Tang · 1×
Citations per year

Countries citing papers authored by Ting-Yi Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ting-Yi Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ting-Yi Wu. 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 Ting-Yi Wu. The network helps show where Ting-Yi Wu may publish in the future.

Co-authors

The 25 scholars most cited alongside Ting-Yi Wu, 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 Ting-Yi Wu Line = papers co-authored together Ting-Yi Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018103
2 201741
3 200819
4 201018
5 202212
6 198412
7 20189
8 20187
9 20187
10 20087
11 20176
12 20086
13 20055
14 20225
15 20205
16 20155
17 20215
18 20135
19 20214
20 20124

About Ting-Yi Wu

Ting-Yi Wu is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology, having authored 46 papers that have together received 329 indexed citations. Recurring topics across this work include Error Correcting Code Techniques (14 papers), Advanced Wireless Communication Techniques (8 papers), Cellular Automata and Applications (7 papers), Coding theory and cryptography (6 papers), Cooperative Communication and Network Coding (6 papers), Advanced Data Storage Technologies (6 papers), Radio Frequency Integrated Circuit Design (5 papers) and Algorithms and Data Compression (5 papers). The work is most often cited by research in Energy Engineering and Power Technology (14 citations), Electrical and Electronic Engineering (227 citations), Computer Networks and Communications (86 citations), Artificial Intelligence (99 citations) and Safety, Risk, Reliability and Quality (24 citations). Ting-Yi Wu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Yuan‐Kang Wu, Mohammad Yusri Hassan, Jing‐Shan Hong, Yunghsiang S. Han, Po‐Ning Chen, Wen‐Shan Tan, Shin-Lin Shieh, Pei-Ju Lee, Lav R. Varshney and Mehul Motani. Their work appears in journals such as IEEE Transactions on Communications, Microwave and Optical Technology Letters, IEEE Communications Letters, IEEE Transactions on Industry Applications and Drug Delivery.

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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