Ling Pei

4.4k citations
172 papers · 3.3k · h-index 33

Impact in

Papers in

Ling Pei

158 papers receiving 3.2k citations

Peers

Ling Pei
Comparison fields: 5 of 117
  • Computer Vision and Pattern Recognition 1.2k
  • Aerospace Engineering 1.4k
  • Geology 304
  • Signal Processing 429
  • Ocean Engineering 556
Replace E. Nebot with:
E. Nebot Australia
Li‐Ta Hsu Hong Kong
Chris Xiaoxuan Lu United Kingdom
Patrick Robertson Germany
Shunsuke Kamijo Japan
Rickard Karlsson Sweden
Reza Hoseinnezhad Australia
Martin Lauer Germany
Shoudong Huang Australia
Hongbin Zha China
Ling Pei relative to E. Nebot Australia E. Nebot's profile →
Citations per field
00.5×9.5×
E. Nebot · 1×
Citations per year

Countries citing papers authored by Ling Pei

Since Specialization
Citations

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

Fields of papers citing papers by Ling Pei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 172 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015213
2 2012156
3 2013121
4 2012118
5 2012116
6 2019114
7 2022100
8 201398
9 201886
10 201079
11 201775
12 201260
13 202059
14 201659
15 202357
16 201555
17 202253
18
A Smart Phone Based PDR Solution for Indoor Navigation
201151
19 201850
20 201850

About Ling Pei

Ling Pei is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 172 papers that have together received 3.3k indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (75 papers), Robotics and Sensor-Based Localization (45 papers), GNSS positioning and interference (21 papers), 3D Surveying and Cultural Heritage (19 papers), Inertial Sensor and Navigation (18 papers), Context-Aware Activity Recognition Systems (18 papers), Underwater Vehicles and Communication Systems (15 papers) and Speech and Audio Processing (15 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Aerospace Engineering (1.4k citations), Geology (304 citations), Signal Processing (429 citations) and Ocean Engineering (556 citations). Ling Pei has collaborated with scholars based in China, Finland and United States. Frequent co-authors include Ruizhi Chen, Wenxian Yu, Yuwei Chen, Heidi Kuusniemi, Jingbin Liu, Danping Zou, Peilin Liu, Robert Guinness, Liang Chen and Rendong Ying. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, Sensors, IEEE Sensors Journal, Remote Sensing and NAVIGATION Journal of the Institute of Navigation.

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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