Songpengcheng Xia

678 total citations
25 papers, 488 citations indexed

About

Songpengcheng Xia is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Songpengcheng Xia has authored 25 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 9 papers in Aerospace Engineering and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Songpengcheng Xia's work include Human Pose and Action Recognition (8 papers), Context-Aware Activity Recognition Systems (6 papers) and Robotics and Sensor-Based Localization (6 papers). Songpengcheng Xia is often cited by papers focused on Human Pose and Action Recognition (8 papers), Context-Aware Activity Recognition Systems (6 papers) and Robotics and Sensor-Based Localization (6 papers). Songpengcheng Xia collaborates with scholars based in China, United States and Taiwan. Songpengcheng Xia's co-authors include Ling Pei, Aike Guo, Chunhua Feng, Wenxian Yu, Ronni Wolf, Martin Heisenberg, Qi Wu, Lei Chu, Robert C. Qiu and Tao Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Informatics and Physiology & Behavior.

In The Last Decade

Songpengcheng Xia

21 papers receiving 468 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Songpengcheng Xia China 11 188 140 134 92 72 25 488
Richard J. D. Moore Australia 12 150 0.8× 154 1.1× 190 1.4× 113 1.2× 97 1.3× 26 522
Dimitrios Lambrinos Switzerland 8 276 1.5× 206 1.5× 243 1.8× 117 1.3× 127 1.8× 19 701
Daisuke Kurabayashi Japan 16 159 0.8× 275 2.0× 106 0.8× 55 0.6× 125 1.7× 109 779
John R. Stowers New Zealand 8 144 0.8× 103 0.7× 80 0.6× 147 1.6× 82 1.1× 10 487
Hai Nguyen United States 19 90 0.5× 230 1.6× 137 1.0× 258 2.8× 186 2.6× 41 1.1k
Charles M. Higgins United States 15 190 1.0× 126 0.9× 54 0.4× 84 0.9× 41 0.6× 36 688
Philip Husbands United Kingdom 9 169 0.9× 61 0.4× 54 0.4× 121 1.3× 128 1.8× 19 411
Jens Peter Lindemann Germany 13 461 2.5× 72 0.5× 89 0.7× 179 1.9× 104 1.4× 29 660
Parvez Ahammad United States 13 80 0.4× 299 2.1× 72 0.5× 25 0.3× 38 0.5× 28 639
Thomas Stone United Kingdom 7 243 1.3× 63 0.5× 55 0.4× 133 1.4× 158 2.2× 18 550

Countries citing papers authored by Songpengcheng Xia

Since Specialization
Citations

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

Fields of papers citing papers by Songpengcheng Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Songpengcheng Xia

This figure shows the co-authorship network connecting the top 25 collaborators of Songpengcheng Xia. A scholar is included among the top collaborators of Songpengcheng Xia 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 Songpengcheng Xia. Songpengcheng Xia 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
1.
Chen, Xieyuanli, et al.. (2025). UA-LIO: An Uncertainty-Aware LiDAR-Inertial Odometry for Autonomous Driving in Urban Environments. IEEE Transactions on Instrumentation and Measurement. 74. 1–12. 1 indexed citations
2.
Chen, Jiarong, Songpengcheng Xia, Yifan Gong, et al.. (2025). Automated Pediatric Delirium Recognition via Deep Learning-Powered Video Analysis. IEEE Journal of Biomedical and Health Informatics. PP. 1–12.
3.
Sun, Zhen, et al.. (2025). BIG: a framework integrating brain-inspired geometry cell for long-range exploration and navigation. SHILAP Revista de lepidopterología. 6(1). 1 indexed citations
4.
5.
6.
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.
7.
Xia, Songpengcheng, et al.. (2024). Timestamp-Supervised Wearable-Based Activity Segmentation and Recognition With Contrastive Learning and Order-Preserving Optimal Transport. IEEE Transactions on Mobile Computing. 23(12). 10734–10751. 4 indexed citations
8.
Song, Yifan, et al.. (2024). A Learning-Based Multi-Node Fusion Positioning Method Using Wearable Inertial Sensors. 1976–1980. 7 indexed citations
9.
Wu, Qi, Guoqing Liu, Liu Liu, et al.. (2024). Thermal-NeRF: Neural Radiance Fields from an Infrared Camera. 1046–1053. 6 indexed citations
10.
Zhang, Yu, Songpengcheng Xia, Lei Chu, et al.. (2024). Dynamic Inertial Poser (DynaIP): Part-Based Motion Dynamics Learning for Enhanced Human Pose Estimation with Sparse Inertial Sensors. 1889–1899. 7 indexed citations
11.
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
12.
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
13.
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
14.
Chu, Lei, et al.. (2021). Open Set Mixed-Reality Human Activity Recognition. 2021 IEEE Global Communications Conference (GLOBECOM). 1–7. 4 indexed citations
15.
Pei, Ling, Danping Zou, Songpengcheng Xia, et al.. (2020). Attention-SLAM: A Visual Monocular SLAM Learning From Human Gaze. IEEE Sensors Journal. 21(5). 6408–6420. 35 indexed citations
16.
Li, Tao, Ling Pei, Yan Xiang, et al.. (2020). P3-LOAM: PPP/LiDAR Loosely Coupled SLAM With Accurate Covariance Estimation and Robust RAIM in Urban Canyon Environment. IEEE Sensors Journal. 21(5). 6660–6671. 53 indexed citations
17.
Xia, Songpengcheng. (1998). Multiple-Phase Model of Memory Consolidation Confirmed by Behavioral and Pharmacological Analyses of Operant Conditioning in Drosophila. Pharmacology Biochemistry and Behavior. 60(4). 809–816. 26 indexed citations
18.
Xia, Songpengcheng. (1997). Drug Disruption of Short-Term Memory in Drosophila melanogaster. Pharmacology Biochemistry and Behavior. 58(3). 727–735. 18 indexed citations
19.
Xia, Songpengcheng, Lei Liu, Chunhua Feng, & Aike Guo. (1997). Nutritional Effects on Operant Visual Learning in Drosophila melanogaster. Physiology & Behavior. 62(2). 263–271. 22 indexed citations
20.
Xia, Songpengcheng, et al.. (1997). Memory consolidation in Drosophila operant visual learning.. Learning & Memory. 4(2). 205–218. 28 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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