Ming Xia

450 citations
29 papers · 222 indexed · h-index 9

Impact in

    • Inertial Sensor and Navigation
    • Robotics and Sensor-Based Localization
    • GNSS positioning and interference
    • Underwater Vehicles and Communication Systems

Papers in

Ming Xia

24 papers receiving 220 citations

Peers

Ming Xia
Comparison fields: 5 of 42
  • Aerospace Engineering 113
  • Ocean Engineering 45
  • Electrical and Electronic Engineering 164
  • Computer Vision and Pattern Recognition 39
  • Transportation 9
Replace Ulrich Muehlmann with:
Ulrich Muehlmann Austria
Tim Pfeifer Germany
Abdelmoumen Norrdine Germany
C.G. Park South Korea
Pablo Palacios Játiva Chile
Jacopo Pegoraro Italy
Anton Ledergerber Switzerland
Jiazheng Yuan China
Ming Xia relative to Ulrich Muehlmann Austria Ulrich Muehlmann's profile →
Citations per field
00.5×11.5×
Ulrich Muehlmann · 1×
Citations per year

Countries citing papers authored by Ming Xia

Since Specialization
Citations

This map shows the geographic impact of Ming 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 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 Xia more than expected).

Fields of papers citing papers by Ming Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
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13 20239
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15 20201
16 20207
17 201919
18 20181
19
Novel High Step-Up Boost Converter with Charge Pump Capacitor
20135
20 20132

About Ming Xia

Ming Xia is a scholar working on Aerospace Engineering, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Signal Processing and Human-Computer Interaction, having authored 29 papers that have together received 222 indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (17 papers), Inertial Sensor and Navigation (8 papers), GNSS positioning and interference (6 papers), Gait Recognition and Analysis (6 papers), Video Surveillance and Tracking Methods (3 papers), Robotics and Sensor-Based Localization (3 papers), Speech and Audio Processing (2 papers) and IoT and GPS-based Vehicle Safety Systems (2 papers). The work is most often cited by research in Aerospace Engineering (113 citations), Ocean Engineering (45 citations), Electrical and Electronic Engineering (164 citations), Computer Vision and Pattern Recognition (39 citations) and Transportation (9 citations). Ming Xia has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Chuang Shi, Qu Wang, Aidong Men, Fang Zhao, Haiyong Luo, Hao Xiong, Changhai Ou, Tuan Li, Chundi Xiu and Jiale Wang. Their work appears in journals such as IEEE Sensors Journal, Electronics, IEEE Internet of Things Journal, IEEE Transactions on Instrumentation and Measurement and Measurement.

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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