Hao-Ting Pai

416 citations
34 papers · 280 · h-index 9

Impact in

Papers in

Hao-Ting Pai

30 papers receiving 270 citations

Peers

Hao-Ting Pai
Comparison fields: 5 of 84
  • Computer Networks and Communications 70
  • Artificial Intelligence 93
  • Environmental Engineering 28
  • Building and Construction 24
  • Signal Processing 17
Replace Khrystyna Zub with:
Khrystyna Zub Ukraine
Nwamaka U. Okafor Ireland
Yongjian Ren China
Yadala Sucharitha India
Tulsi Pawan Fowdur Mauritius
Mark C. Sinclair United Kingdom
Abdelkarim MERBOUHA Morocco
Dheerdhwaj Barak India
Yee Leung Hong Kong
Hao-Ting Pai relative to Khrystyna Zub Ukraine Khrystyna Zub's profile →
Citations per field
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Khrystyna Zub · 1×
Citations per year

Countries citing papers authored by Hao-Ting Pai

Since Specialization
Citations

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

Fields of papers citing papers by Hao-Ting Pai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202262
2 202245
3 200226
4 202216
5 201615
6 201412
7 202411
8 201210
9 20249
10 20238
11 20248
12 20236
13 20256
14 20075
15 20135
16
Dynamic key management schemes for secure group communication based on hierarchical clustering in mobile ad hoc networks
20074
17 20114
18 20244
19 20104
20 20073

About Hao-Ting Pai

Hao-Ting Pai is a scholar working on Computer Networks and Communications, Environmental Engineering, Artificial Intelligence, Water Science and Technology and Electrical and Electronic Engineering, having authored 34 papers that have together received 280 indexed citations. Recurring topics across this work include Security in Wireless Sensor Networks (6 papers), Hydrological Forecasting Using AI (4 papers), Mobile Ad Hoc Networks (4 papers), Energy Load and Power Forecasting (3 papers), Advanced Authentication Protocols Security (3 papers), Network Security and Intrusion Detection (3 papers), Privacy, Security, and Data Protection (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Computer Networks and Communications (70 citations), Artificial Intelligence (93 citations), Environmental Engineering (28 citations), Building and Construction (24 citations) and Signal Processing (17 citations). Hao-Ting Pai has collaborated with scholars based in Taiwan, United States and Iran. Frequent co-authors include Massoud Moslehpour, Shahab S. Band, Jui-Cheng Yen, Jiun-In Guo, Amir Mosavi, Pei-Yun Sabrina Hsueh, Fan Wu, Sayed M. Bateni, Anthony Theodore Chronopoulos and Said Elnaffar. Their work appears in journals such as Engineering Applications of Computational Fluid Mechanics, Telematics and Informatics, IEEE Access, Artificial Intelligence in Medicine and Water Resources Management.

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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