Pai Wang

533 citations
47 papers · 396 · h-index 12

Impact in

    • GNSS positioning and interference
    • Inertial Sensor and Navigation
    • Radio Wave Propagation Studies
    • Radar Systems and Signal Processing
    • Speech and Audio Processing

Papers in

Pai Wang

44 papers receiving 379 citations

Peers

Pai Wang
Comparison fields: 5 of 50
  • Aerospace Engineering 212
  • Signal Processing 41
  • Electrical and Electronic Engineering 215
  • Computer Networks and Communications 56
  • Artificial Intelligence 67
Replace Tianyuan Yang with:
Tianyuan Yang China
Kyle A. Gallagher United States
Wenyi Wang China
Amir Zaimbashi Iran
Matias Turunen Finland
Nicholas O’Donoughue United States
Yubo Wan China
Mateo Burgos-García Spain
Pai Wang relative to Tianyuan Yang China Tianyuan Yang's profile →
Citations per field
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Tianyuan Yang · 1×
Citations per year

Countries citing papers authored by Pai Wang

Since Specialization
Citations

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

Fields of papers citing papers by Pai Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202054
2 201749
3 201828
4 201728
5 202027
6 202122
7 202320
8 201916
9 202116
10 201815
11 202113
12 202311
13 202210
14 20149
15 20209
16 20228
17 20247
18 20216
19 20205
20 20194

About Pai Wang

Pai Wang is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering, Computational Mechanics, Mechanical Engineering and Artificial Intelligence, having authored 47 papers that have together received 396 indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (20 papers), GNSS positioning and interference (13 papers), Target Tracking and Data Fusion in Sensor Networks (7 papers), Advanced Adaptive Filtering Techniques (5 papers), Remote Sensing and LiDAR Applications (3 papers), Advanced machining processes and optimization (3 papers), Inertial Sensor and Navigation (3 papers) and Wireless Communication Networks Research (3 papers). The work is most often cited by research in Aerospace Engineering (212 citations), Signal Processing (41 citations), Electrical and Electronic Engineering (215 citations), Computer Networks and Communications (56 citations) and Artificial Intelligence (67 citations). Pai Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Y. Jade Morton, Siliang Wu, Yongqing Wang, Ediz Cetin, Andrew G. Dempster, Byungwoon Park, Xuetao Liu, Qifan Wang, Yitai Ma and Yong Wang. Their work appears in journals such as IEEE Transactions on Aerospace and Electronic Systems, Science China Information Sciences, Microwave and Optical Technology Letters, Chinese Journal of Aeronautics and IEEE Transactions on Intelligent Transportation Systems.

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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