Kai‐Wei Chiang

2.0k citations
93 papers · 1.5k · h-index 22

Impact in

    • Inertial Sensor and Navigation
    • GNSS positioning and interference
    • Robotics and Sensor-Based Localization
  • Geology top 2%
    • 3D Surveying and Cultural Heritage

Papers in

Kai‐Wei Chiang

88 papers receiving 1.4k citations

Peers

Kai‐Wei Chiang
Comparison fields: 5 of 85
  • Aerospace Engineering 1.0k
  • Geology 195
  • Environmental Engineering 193
  • Artificial Intelligence 404
  • Ocean Engineering 192
Replace Weisong Wen with:
Weisong Wen Hong Kong
Gert F. Trommer Germany
Vassilis Gikas Greece
Tashfeen B. Karamat Canada
Haiyang Chao United States
Hordur Johannsson United States
Jinwhan Kim South Korea
Gang Wan China
Markus Hahn Germany
David Bétaille France
Kai‐Wei Chiang relative to Weisong Wen Hong Kong Weisong Wen's profile →
Citations per field
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Weisong Wen · 1×
Citations per year

Countries citing papers authored by Kai‐Wei Chiang

Since Specialization
Citations

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

Fields of papers citing papers by Kai‐Wei Chiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai‐Wei Chiang. 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 Kai‐Wei Chiang. The network helps show where Kai‐Wei Chiang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006114
2 201279
3 200776
4 202074
5 202072
6 201964
7 202059
8 202352
9 202050
10 200349
11 201343
12 200842
13 201739
14 201237
15 200937
16 200937
17 200436
18 201031
19 201527
20 201126

About Kai‐Wei Chiang

Kai‐Wei Chiang is a scholar working on Aerospace Engineering, Electrical and Electronic Engineering, Artificial Intelligence, Environmental Engineering and Computer Vision and Pattern Recognition, having authored 93 papers that have together received 1.5k indexed citations. Recurring topics across this work include Inertial Sensor and Navigation (42 papers), Robotics and Sensor-Based Localization (36 papers), Indoor and Outdoor Localization Technologies (29 papers), GNSS positioning and interference (28 papers), Target Tracking and Data Fusion in Sensor Networks (18 papers), Remote Sensing and LiDAR Applications (15 papers), 3D Surveying and Cultural Heritage (13 papers) and Geophysics and Gravity Measurements (11 papers). The work is most often cited by research in Aerospace Engineering (1.0k citations), Geology (195 citations), Environmental Engineering (193 citations), Artificial Intelligence (404 citations) and Ocean Engineering (192 citations). Kai‐Wei Chiang has collaborated with scholars based in Taiwan, Canada and China. Frequent co-authors include Naser El‐Sheimy, Aboelmagd Noureldin, Guang-Je Tsai, Yun Huang, Rui Sun, Hone‐Jay Chu, Qi Cheng, Kuan‐Zong Fung, Li‐Ta Hsu and Yuanxi Yang. Their work appears in journals such as Sensors, IEEE Internet of Things Journal, Remote Sensing, Journal of Power Sources and GPS Solutions.

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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