Kai‐Wei Chiang

1.9k total citations
91 papers, 1.4k citations indexed

About

Kai‐Wei Chiang is a scholar working on Aerospace Engineering, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Kai‐Wei Chiang has authored 91 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Aerospace Engineering, 34 papers in Electrical and Electronic Engineering and 18 papers in Artificial Intelligence. Recurrent topics in Kai‐Wei Chiang's work include Inertial Sensor and Navigation (42 papers), Robotics and Sensor-Based Localization (35 papers) and Indoor and Outdoor Localization Technologies (29 papers). Kai‐Wei Chiang is often cited by papers focused on Inertial Sensor and Navigation (42 papers), Robotics and Sensor-Based Localization (35 papers) and Indoor and Outdoor Localization Technologies (29 papers). Kai‐Wei Chiang collaborates with scholars based in Taiwan, Canada and China. Kai‐Wei Chiang's 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 Ayman Habib and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Power Sources and Sensors.

In The Last Decade

Kai‐Wei Chiang

87 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai‐Wei Chiang Taiwan 22 1.0k 519 396 192 191 91 1.4k
Weisong Wen Hong Kong 22 1.2k 1.2× 824 1.6× 268 0.7× 262 1.4× 197 1.0× 95 1.6k
Gert F. Trommer Germany 20 1.1k 1.1× 530 1.0× 446 1.1× 67 0.3× 77 0.4× 140 1.4k
Tashfeen B. Karamat Canada 14 969 0.9× 517 1.0× 479 1.2× 52 0.3× 45 0.2× 23 1.2k
Markus Hahn Germany 20 787 0.8× 252 0.5× 224 0.6× 169 0.9× 31 0.2× 44 1.2k
David Bétaille France 14 582 0.6× 395 0.8× 228 0.6× 77 0.4× 27 0.1× 47 1.0k
Vassilis Gikas Greece 17 335 0.3× 283 0.5× 74 0.2× 118 0.6× 125 0.7× 68 849
Rui Sun China 21 658 0.6× 532 1.0× 366 0.9× 65 0.3× 19 0.1× 65 1.4k
Hordur Johannsson United States 14 2.1k 2.0× 534 1.0× 244 0.6× 222 1.2× 562 2.9× 24 2.5k
Anı́bal Matos Portugal 21 589 0.6× 303 0.6× 240 0.6× 76 0.4× 68 0.4× 137 1.6k
Antonio Angrisano Italy 17 763 0.7× 283 0.5× 178 0.4× 49 0.3× 30 0.2× 60 975

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-authorship network of co-authors of Kai‐Wei Chiang

This figure shows the co-authorship network connecting the top 25 collaborators of Kai‐Wei Chiang. A scholar is included among the top collaborators of Kai‐Wei Chiang 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 Kai‐Wei Chiang. Kai‐Wei Chiang 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.
Chiang, Kai‐Wei, et al.. (2024). Creation and Verification of High-Definition Point Cloud Maps for Autonomous Vehicle Navigation. IEEE Internet of Things Journal. 11(23). 37582–37598. 2 indexed citations
2.
Chang, Yu‐Fen, et al.. (2023). THE IMPLEMENTATION OF SEMI-AUTOMATED ROAD SURFACE MARKINGS EXTRACTION SCHEMES UTILIZING MOBILE LASER SCANNED POINT CLOUDS FOR HD MAPS PRODUCTION. SHILAP Revista de lepidopterología. XLVIII-1/W1-2023. 93–100. 4 indexed citations
3.
Chiang, Kai‐Wei, et al.. (2023). AN EVALUATION OF SOLID-STATE LIDAR FOR LOCALIZATION AND HD POINT CLOUD MAPPING. SHILAP Revista de lepidopterología. XLVIII-1/W2-2023. 841–847. 1 indexed citations
4.
Tsai, Shang‐Yueh, et al.. (2023). THE DEVELOPMENT AND VALIDATION OF A TACTICAL GRADE EGI SYSTEM FOR LAND VEHICULAR NAVIGATION APPLICATIONS. SHILAP Revista de lepidopterología. XLVIII-1/W2-2023. 821–828. 2 indexed citations
5.
Chiang, Kai‐Wei, Szu‐Yin Lin, Yu‐Fen Chang, et al.. (2023). ESTABLISHMENT OF HD MAPS VERIFICATION AND VALIDATION PROCEDURE WITH OPENDRIVE AND AUTOWARE (LANELET2) FORMATS. SHILAP Revista de lepidopterología. X-1/W1-2023. 621–627. 2 indexed citations
6.
Chiang, Kai‐Wei, et al.. (2023). Performance of LiDAR-SLAM-based PNT with initial poses based on NDT scan matching algorithm. SHILAP Revista de lepidopterología. 4(1). 9 indexed citations
7.
Chen, Jinwen, et al.. (2023). STRATEGY ON HIGH-DEFINITION POINT CLOUD MAP CREATION FOR AUTONOMOUS DRIVING IN HIGHWAY ENVIRONMENTS. SHILAP Revista de lepidopterología. XLVIII-1/W2-2023. 849–854. 1 indexed citations
8.
Yeh, Te‐Huei, et al.. (2023). V-SLAM ENHANCED INS/GNSS FUSION SCHEME FOR LANE LEVEL VEHICULAR NAVIGATION APPLICATIONS IN DYNAMIC ENVIRONMENT. SHILAP Revista de lepidopterología. XLVIII-1/W1-2023. 547–553.
9.
Lin, Chih-Chang, et al.. (2023). A CNN-SPEED-BASED GNSS/PDR INTEGRATED SYSTEM FOR SMARTWATCH. SHILAP Revista de lepidopterología. XLVIII-1/W1-2023. 235–241. 3 indexed citations
10.
Tseng, Yi‐Hsing, et al.. (2022). Interpretation and Transformation of Intrinsic Camera Parameters Used in Photogrammetry and Computer Vision. Sensors. 22(24). 9602–9602. 5 indexed citations
11.
Chiang, Kai‐Wei, et al.. (2022). Multifusion schemes of INS/GNSS/GCPs/V-SLAM applied using data from smartphone sensors for land vehicular navigation applications. Information Fusion. 89. 305–319. 11 indexed citations
12.
Masiero, Andrea, Paolo Dabove, Vincenzo Di Pietra, et al.. (2021). A CASE STUDY OF PEDESTRIAN POSITIONING WITH UWB AND UAV CAMERAS. SHILAP Revista de lepidopterología. XLIII-B1-2021. 111–116. 3 indexed citations
13.
Chiang, Kai‐Wei, et al.. (2020). The Design a TDCP-Smoothed GNSS/Odometer Integration Scheme with Vehicular-Motion Constraint and Robust Regression. Remote Sensing. 12(16). 2550–2550. 7 indexed citations
14.
Chiang, Kai‐Wei, Guang-Je Tsai, Hone‐Jay Chu, & Naser El‐Sheimy. (2020). Performance Enhancement of INS/GNSS/Refreshed-SLAM Integration for Acceptable Lane-Level Navigation Accuracy. IEEE Transactions on Vehicular Technology. 69(3). 2463–2476. 69 indexed citations
15.
Sun, Rui, et al.. (2020). Robust IMU/GPS/VO Integration for Vehicle Navigation in GNSS Degraded Urban Areas. IEEE Sensors Journal. 20(17). 10110–10122. 56 indexed citations
16.
Chen, Y. L., et al.. (2019). ADAPTIVE STRATEGY-BASED TIGHTLY-COUPLED INS/GNSS INTEGRATION SYSTEM AIDED BY ODOMETER AND BAROMETER. SHILAP Revista de lepidopterología. XLII-2/W13. 881–888. 3 indexed citations
17.
Chiang, Kai‐Wei, et al.. (2017). Development of INS/GNSS UAV-Borne Vector Gravimetry System. IEEE Geoscience and Remote Sensing Letters. 14(5). 759–763. 14 indexed citations
18.
Chiang, Kai‐Wei, et al.. (2015). The Performance Analysis of Stereo Visual Odometry Assisted Low-Cost INS/GPS Integration System. Smart Science. 3(3). 148–156. 4 indexed citations
19.
Chiang, Kai‐Wei, et al.. (2015). A Feasibility Analysis of Land-Based SINS/GNSS Gravimetry for Groundwater Resource Detection in Taiwan. Sensors. 15(10). 25039–25054. 6 indexed citations
20.
El‐Sheimy, Naser, Kai‐Wei Chiang, & Aboelmagd Noureldin. (2006). The Utilization of Artificial Neural Networks for Multisensor System Integration in Navigation and Positioning Instruments. IEEE Transactions on Instrumentation and Measurement. 55(5). 1606–1615. 113 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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