Ling Pei

4.3k total citations
152 papers, 3.0k citations indexed

About

Ling Pei is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ling Pei has authored 152 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Electrical and Electronic Engineering, 63 papers in Aerospace Engineering and 51 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ling Pei's work include Indoor and Outdoor Localization Technologies (68 papers), Robotics and Sensor-Based Localization (35 papers) and GNSS positioning and interference (18 papers). Ling Pei is often cited by papers focused on Indoor and Outdoor Localization Technologies (68 papers), Robotics and Sensor-Based Localization (35 papers) and GNSS positioning and interference (18 papers). Ling Pei collaborates with scholars based in China, Finland and United States. Ling Pei's co-authors include Ruizhi Chen, Wenxian Yu, Yuwei Chen, Heidi Kuusniemi, Jingbin Liu, Danping Zou, Peilin Liu, Robert Guinness, Liang Chen and Rendong Ying and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Water Resources Research.

In The Last Decade

Ling Pei

141 papers receiving 2.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ling Pei China 32 1.6k 1.3k 1.1k 523 425 152 3.0k
E. Nebot Australia 36 1.6k 1.0× 3.1k 2.5× 1.9k 1.8× 632 1.2× 336 0.8× 185 5.7k
Alberto Elfes United States 20 601 0.4× 3.1k 2.4× 2.8k 2.6× 661 1.3× 550 1.3× 102 4.9k
Shoudong Huang Australia 35 950 0.6× 2.5k 2.0× 1.8k 1.7× 376 0.7× 408 1.0× 204 3.9k
Chris Xiaoxuan Lu United Kingdom 24 693 0.4× 907 0.7× 664 0.6× 175 0.3× 127 0.3× 74 1.8k
Ivan Petrović Croatia 29 584 0.4× 1.1k 0.9× 1.3k 1.2× 165 0.3× 186 0.4× 230 3.0k
Li‐Ta Hsu Hong Kong 38 2.5k 1.6× 3.6k 2.9× 631 0.6× 558 1.1× 210 0.5× 236 4.8k
Chan Gook Park South Korea 29 1.1k 0.7× 1.8k 1.5× 381 0.4× 447 0.9× 171 0.4× 246 2.8k
José A. Castellanos Spain 26 772 0.5× 2.1k 1.6× 1.4k 1.3× 325 0.6× 224 0.5× 63 2.7k
José Guivant Australia 21 752 0.5× 1.6k 1.3× 1.0k 1.0× 273 0.5× 125 0.3× 69 2.2k
Olli Sílven Finland 20 509 0.3× 514 0.4× 1.6k 1.5× 94 0.2× 279 0.7× 150 2.7k

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-authorship network of co-authors of Ling Pei

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Pei. A scholar is included among the top collaborators of Ling Pei 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 Ling Pei. Ling Pei 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
2.
Wang, Yao, Ling Pei, Lei Chen, et al.. (2025). Reference Signal-Guided Adaptive FitzHugh-Nagumo Stochastic Resonance Method for Weak Magnetic Anomaly Signal Restoration. IEEE Transactions on Instrumentation and Measurement. 74. 1–13.
3.
Xia, Songpengcheng, et al.. (2024). SMART: Scene-Motion-Aware Human Action Recognition Framework for Mental Disorder Group. IEEE Internet of Things Journal. 12(8). 10099–10113.
4.
Tong, Hua, et al.. (2023). M2C-GVIO: motion manifold constraint aided GNSS-visual-inertial odometry for ground vehicles. SHILAP Revista de lepidopterología. 4(1). 18 indexed citations
5.
Xiang, Yan, et al.. (2023). A Consistent Regional Vertical Ionospheric Model and Application in PPP-RTK Under Sparse Networks. NAVIGATION Journal of the Institute of Navigation. 70(3). navi.568–navi.568. 3 indexed citations
6.
Pei, Ling, et al.. (2022). FINet: An Insulator Dataset and Detection Benchmark Based on Synthetic Fog and Improved YOLOv5. IEEE Transactions on Instrumentation and Measurement. 71. 1–8. 91 indexed citations
7.
Li, Tao, Ling Pei, Yan Xiang, Wenxian Yu, & Trieu‐Kien Truong. (2022). P$^{3}$-VINS: Tightly-Coupled PPP/INS/Visual SLAM Based on Optimization Approach. IEEE Robotics and Automation Letters. 7(3). 7021–7027. 34 indexed citations
8.
Xia, Songpengcheng, Lei Chu, Ling Pei, Wenxian Yu, & Robert C. Qiu. (2022). A Boundary Consistency-Aware Multitask Learning Framework for Joint Activity Segmentation and Recognition With Wearable Sensors. IEEE Transactions on Industrial Informatics. 19(3). 2984–2996. 11 indexed citations
9.
Liu, Haichun, et al.. (2022). CDNet: a real-time and robust crosswalk detection network on Jetson nano based on YOLOv5. Neural Computing and Applications. 34(13). 10719–10730. 48 indexed citations
10.
Xia, Songpengcheng, et al.. (2021). Learning Disentangled Representation for Mixed- Reality Human Activity Recognition With a Single IMU Sensor. IEEE Transactions on Instrumentation and Measurement. 70. 1–14. 33 indexed citations
11.
Pei, Ling, Songpengcheng Xia, Lei Chu, et al.. (2021). MARS: Mixed Virtual and Real Wearable Sensors for Human Activity Recognition With Multidomain Deep Learning Model. IEEE Internet of Things Journal. 8(11). 9383–9396. 37 indexed citations
12.
He, Di, Xin Chen, Ling Pei, et al.. (2020). Multi-BS Spatial Spectrum Fusion for 2-D DOA Estimation and Localization Using UCA in Massive MIMO System. IEEE Transactions on Instrumentation and Measurement. 70. 1–13. 36 indexed citations
13.
Lin, Wei, Xiangwen Li, Zhengming Yang, et al.. (2019). Multiscale Digital Porous Rock Reconstruction Using Template Matching. Water Resources Research. 55(8). 6911–6922. 47 indexed citations
14.
Pei, Ling, et al.. (2016). Indoor fingerprinting algorithm for room level accuracy with dynamic database. 113–121. 10 indexed citations
15.
Pei, Ling, Jingbin Liu, Robert Guinness, et al.. (2012). The evaluation of WiFi positioning in a Bluetooth and WiFi coexistence environment. 1–6. 31 indexed citations
16.
Pei, Ling, Jingbin Liu, Heidi Kuusniemi, et al.. (2010). Motion Recognition Assisted Indoor Wireless Navigation on a Mobile Phone. 3366–3375. 29 indexed citations
17.
Kuusniemi, Heidi, et al.. (2010). Reliability Estimation for Analyzing and Improving Multi-sensor Multi-network Positioning. 2199–2210. 2 indexed citations
19.
Takala, Jarmo, Yuwei Chen, Ling Pei, et al.. (2009). Development of a 3D Personal Navigation and LBS System with Demonstration in Shanghai EXPO in 2010. 2124–2129. 4 indexed citations
20.
Chen, Yuwei, Ling Pei, Jingbin Liu, et al.. (2009). A DSP-based Multi-sensor Multi-network Positioning Platform. 615–621. 23 indexed citations

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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