Guan-Hua Tu

897 citations
44 papers · 572 indexed · h-index 15
Topics
Advanced Malware Detection Techniques (13 papers)IPv6, Mobility, Handover, Networks, Security (12 papers)Network Security and Intrusion Detection (11 papers)
Partner nations
United StatesTaiwanChina

In The Last Decade

Guan-Hua Tu

39 papers receiving 555 citations

Peers

Guan-Hua Tu
Comparison fields: 5 of 55
  • Computer Networks and Communications 356
  • Electrical and Electronic Engineering 264
  • Artificial Intelligence 190
  • Signal Processing 164
  • Information Systems 114
Replace Chi-Yu Li with:
Chi-Yu Li Taiwan
Olivier Mehani Australia
Randy Marchany United States
Dheeraj Sanghi India
Mahdi Aiash United Kingdom
Yoichi Shinoda Japan
Mikail Mohammed Salim South Korea
Mowei Wang China
Joachim Fabini Austria
Ravishankar Borgaonkar Germany
Guan-Hua Tu relative to Chi-Yu Li Taiwan Chi-Yu Li's profile →
Citations per field
00.5×1.5×
Chi-Yu Li · 1×
Citations per year

Countries citing papers authored by Guan-Hua Tu

Since Specialization
Citations

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

Fields of papers citing papers by Guan-Hua Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guan-Hua Tu. 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 Guan-Hua Tu. The network helps show where Guan-Hua Tu may publish in the future.

Co-authorship network of co-authors of Guan-Hua Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Guan-Hua Tu. A scholar is included among the top collaborators of Guan-Hua Tu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Guan-Hua Tu. Guan-Hua Tu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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7 11
8 10
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11 1
12 37
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Mobile Edge Computing Platform Deployment in 4G {LTE} Networks: A Middlebox Approach
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14 9
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iCellular: device-customized cellular network access on commodity smartphones
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About Guan-Hua Tu

Guan-Hua Tu is a scholar working on Computer Networks and Communications, Signal Processing and Electrical and Electronic Engineering, having authored 44 papers that have together received 572 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (13 papers), IPv6, Mobility, Handover, Networks, Security (12 papers) and Network Security and Intrusion Detection (11 papers). The work is most often cited by research in Computer Networks and Communications (356 citations), Signal Processing (164 citations) and Artificial Intelligence (190 citations). Guan-Hua Tu has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Chi-Yu Li, Chunyi Peng, Songwu Lu, Xinyu Lei, Yuanjie Li, Alex X. Liu, Zengwen Yuan, Rui Li, Xinbing Wang and Chunyi Peng. Their work appears in journals such as ACM Computing Surveys, IEEE Internet of Things Journal and IEEE/ACM Transactions on Networking.

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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