Ming Yi Xia
Impact in
- Aerospace Engineering top 10%
- Robotics and Sensor-Based Localization
- Inertial Sensor and Navigation
- GNSS positioning and interference
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- Indoor and Outdoor Localization Technologies
Papers in
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- Inertial Sensor and Navigation 9
- GNSS positioning and interference 8
- Robotics and Sensor-Based Localization 3
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- Indoor and Outdoor Localization Technologies 20
- Co-authors
- Chuang Shi (19 shared papers)Tuan Li (8 shared papers)Qu Wang (4 shared papers)Jiale Wang (16 shared papers)Haiyong Luo (2 shared papers)Changhai Ou (1 shared paper)Hao Xiong (1 shared paper)Fang Zhao (1 shared paper)
In The Last Decade
Ming Yi Xia
29 papers receiving 361 citations
Peers
Comparison fields: 5 of 49
- Aerospace Engineering 161
- Electrical and Electronic Engineering 232
- Ocean Engineering 62
- Computer Vision and Pattern Recognition 60
- Signal Processing 22
Countries citing papers authored by Ming Yi Xia
This map shows the geographic impact of Ming Yi 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 Ming Yi Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Yi Xia more than expected).
Fields of papers citing papers by Ming Yi Xia
This network shows the impact of papers produced by Ming Yi 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 Ming Yi Xia. The network helps show where Ming Yi Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Yi 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
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 69 | |
| 2 | 2021 | 58 | |
| 3 | 2023 | 41 | |
| 4 | 2024 | 38 | |
| 5 | 2022 | 20 | |
| 6 | 2019 | 20 | |
| 7 | 2023 | 16 | |
| 8 | 2023 | 14 | |
| 9 | 2024 | 12 | |
| 10 | 2018 | 11 | |
| 11 | 2024 | 9 | |
| 12 | 2020 | 7 | |
| 13 | 2025 | 6 | |
| 14 | 2024 | 6 | |
| 15 | 2024 | 5 | |
| 16 | Novel High Step-Up Boost Converter with Charge Pump Capacitor | 2013 | 5 |
| 17 | 2024 | 5 | |
| 18 | 2024 | 5 | |
| 19 | 2013 | 3 | |
| 20 | 2013 | 2 |
About Ming Yi Xia
Ming Yi Xia is a scholar working on Aerospace Engineering, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Biomedical Engineering and Signal Processing, having authored 40 papers that have together received 363 indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (20 papers), Inertial Sensor and Navigation (9 papers), GNSS positioning and interference (8 papers), Gait Recognition and Analysis (6 papers), Robotics and Sensor-Based Localization (3 papers), Video Surveillance and Tracking Methods (3 papers), Target Tracking and Data Fusion in Sensor Networks (2 papers) and Context-Aware Activity Recognition Systems (2 papers). The work is most often cited by research in Aerospace Engineering (161 citations), Electrical and Electronic Engineering (232 citations), Ocean Engineering (62 citations), Computer Vision and Pattern Recognition (60 citations) and Signal Processing (22 citations). Ming Yi Xia has collaborated with scholars based in China, Hong Kong and Portugal. Frequent co-authors include Chuang Shi, Tuan Li, Qu Wang, Jiale Wang, Haiyong Luo, Changhai Ou, Hao Xiong, Fang Zhao, Aidong Men and Wu Yi Chen. Their work appears in journals such as IEEE Sensors Journal, IEEE Transactions on Instrumentation and Measurement, IEEE Internet of Things Journal, IEEE Transactions on Consumer Electronics and Electronics.
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.