Tin‐Yu Wu

1.4k citations
103 papers · 940 indexed · h-index 17

Tin‐Yu Wu

97 papers receiving 865 citations

Peers

Tin‐Yu Wu
Comparison fields: 5 of 75
  • Computer Networks and Communications 637
  • Computer Science Applications 48
  • Electrical and Electronic Engineering 474
  • Information Systems 161
  • Computer Vision and Pattern Recognition 91
Replace Zhibin Gao with:
Zhibin Gao China
Danco Davčev North Macedonia
Júlio Cézar Estrella Brazil
Ralf Tönjes Germany
Suleyman Uludag United States
Vera Stavroulaki Greece
Rahul Johari India
Aris Leivadeas Canada
Weisheng Si Australia
Abolfazl Toroghi Haghighat Iran
Tin‐Yu Wu relative to Zhibin Gao China Zhibin Gao's profile →
Citations per field
00.5×10×13.2×
Zhibin Gao · 1×
Citations per year

Countries citing papers authored by Tin‐Yu Wu

Since Specialization
Citations

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

Fields of papers citing papers by Tin‐Yu Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tin‐Yu 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 Tin‐Yu Wu. The network helps show where Tin‐Yu Wu may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20251
4 20252
5 20241
6 20220
7 202113
8 20198
9 201827
10 20183
11 20177
12
uIP Stack Based Embedded Network Control System for Bridge Safety Detection
20161
13
Shareability and Locality Aware Scheduling Algorithm in Hadoop for Mobile Cloud Computing.
20153
14 201010
15 20103
16 20108
17 20101
18 20092
19 20098
20
Efficient IEEE 802.11 handoff based on a novel geographical fingerprint scheme: Research Articles
20061

About Tin‐Yu Wu

Tin‐Yu Wu is a scholar working on Computer Networks and Communications, Computer Science Applications, Electrical and Electronic Engineering, Information Systems and Media Technology, having authored 103 papers that have together received 940 indexed citations. Recurring topics across this work include Caching and Content Delivery (16 papers), Mobile Ad Hoc Networks (16 papers), IPv6, Mobility, Handover, Networks, Security (14 papers), Wireless Networks and Protocols (12 papers), Advanced Wireless Network Optimization (11 papers), IoT and Edge/Fog Computing (9 papers), Cooperative Communication and Network Coding (9 papers) and Indoor and Outdoor Localization Technologies (8 papers). The work is most often cited by research in Computer Networks and Communications (637 citations), Computer Science Applications (48 citations), Electrical and Electronic Engineering (474 citations), Information Systems (161 citations) and Computer Vision and Pattern Recognition (91 citations). Tin‐Yu Wu has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Dan Tao, Wei‐Tsong Lee, Chu‐Fu Wang, Han‐Chieh Chao, Yan Sun, Cheng‐Han Lin, Mohsen Guizani, Mohammad S. Obaidat, Chi‐Yuan Chen and Nadra Guizani. Their work appears in journals such as Computer Communications, IEEE Sensors Journal, Wireless Communications and Mobile Computing, IEEE Systems Journal and Wireless Personal 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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