Songpengcheng Xia
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- Neurobiology and Insect Physiology Research 5
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- Human Pose and Action Recognition 8
- Context-Aware Activity Recognition Systems 6
- Geology top 10%
- Aerospace Engineering top 10%
- Robotics and Sensor-Based Localization 6
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- Gait Recognition and Analysis 4
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- Physiological and biochemical adaptations 3
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- Animal Behavior and Reproduction 2
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- Robotics and Automated Systems 2
- Journals
- IEEE Internet of Things Journal (2 papers)IEEE Transactions on Instrumentation and Measurement (2 papers)IEEE Sensors Journal (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Songpengcheng Xia
21 papers receiving 468 citations
Peers
Comparison fields: 5 of 70
- Cellular and Molecular Neuroscience 188
- Aging 13
- Computer Vision and Pattern Recognition 140
- Geology 36
- Aerospace Engineering 134
Countries citing papers authored by Songpengcheng Xia
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
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
The 25 scholars most cited alongside Songpengcheng Xia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 7 | |
| 9 | 2024 | 7 | |
| 10 | 2024 | 6 | |
| 11 | 2022 | 11 | |
| 12 | 2021 | 33 | |
| 13 | 2021 | 37 | |
| 14 | 2021 | 4 | |
| 15 | 2020 | 53 | |
| 16 | 2020 | 35 | |
| 17 | 1998 | 26 | |
| 18 | 1997 | 22 | |
| 19 | 1997 | 18 | |
| 20 | 1997 | 28 |
About Songpengcheng Xia
Songpengcheng Xia is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Cellular and Molecular Neuroscience, having authored 25 papers that have together received 488 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (8 papers), Context-Aware Activity Recognition Systems (6 papers), Robotics and Sensor-Based Localization (6 papers), Neurobiology and Insect Physiology Research (5 papers), Gait Recognition and Analysis (4 papers), Physiological and biochemical adaptations (3 papers), Animal Behavior and Reproduction (2 papers) and Robotics and Automated Systems (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (188 citations), Aging (13 citations) and Computer Vision and Pattern Recognition (140 citations). Songpengcheng Xia has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Ling Pei, Chunhua Feng, Aike Guo, Wenxian Yu, Ronni Wolf, Martin Heisenberg, Qi Wu, Lei Chu, Robert C. Qiu and Tao Li. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Transactions on Instrumentation and Measurement, IEEE Sensors Journal, Learning & Memory and Pharmacology Biochemistry and Behavior.
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.