Gyu-In Jee

1.4k total citations
85 papers, 1.1k citations indexed

About

Gyu-In Jee is a scholar working on Aerospace Engineering, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Gyu-In Jee has authored 85 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Aerospace Engineering, 33 papers in Electrical and Electronic Engineering and 31 papers in Artificial Intelligence. Recurrent topics in Gyu-In Jee's work include GNSS positioning and interference (47 papers), Inertial Sensor and Navigation (31 papers) and Target Tracking and Data Fusion in Sensor Networks (28 papers). Gyu-In Jee is often cited by papers focused on GNSS positioning and interference (47 papers), Inertial Sensor and Navigation (31 papers) and Target Tracking and Data Fusion in Sensor Networks (28 papers). Gyu-In Jee collaborates with scholars based in South Korea, United States and China. Gyu-In Jee's co-authors include Kwang-Hoon Kim, Byung-Hyun Lee, Jang Gyu Lee, L. N. Hannett, B. Fardanesh, Wook Kim, J.G. Lee, Jang Gyu Lee, Kyuwon Kim and Hyoung Joong Kim and has published in prestigious journals such as IEEE Transactions on Power Systems, IEEE Access and IEEE Communications Magazine.

In The Last Decade

Gyu-In Jee

77 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gyu-In Jee South Korea 22 635 494 248 156 128 85 1.1k
Xingqun Zhan China 18 874 1.4× 328 0.7× 219 0.9× 155 1.0× 99 0.8× 175 1.1k
David Bétaille France 14 582 0.9× 395 0.8× 228 0.9× 66 0.4× 160 1.3× 47 1.0k
Igal Bilik Israel 18 811 1.3× 360 0.7× 323 1.3× 112 0.7× 83 0.6× 74 1.4k
Lawrence R. Weill United States 7 1.1k 1.8× 480 1.0× 594 2.4× 142 0.9× 161 1.3× 21 1.5k
Emmanuel Duflos France 14 393 0.6× 229 0.5× 391 1.6× 65 0.4× 218 1.7× 40 896
Juliette Marais France 14 654 1.0× 473 1.0× 223 0.9× 59 0.4× 118 0.9× 64 1.1k
Marion Berbineau France 20 668 1.1× 942 1.9× 331 1.3× 377 2.4× 98 0.8× 134 1.7k
Dah‐Jing Jwo Taiwan 20 715 1.1× 223 0.5× 649 2.6× 63 0.4× 121 0.9× 78 1.2k
Jacques Georgy Canada 18 1.1k 1.7× 848 1.7× 563 2.3× 119 0.8× 329 2.6× 71 1.7k

Countries citing papers authored by Gyu-In Jee

Since Specialization
Citations

This map shows the geographic impact of Gyu-In Jee'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 Gyu-In Jee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gyu-In Jee more than expected).

Fields of papers citing papers by Gyu-In Jee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gyu-In Jee. 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 Gyu-In Jee. The network helps show where Gyu-In Jee may publish in the future.

Co-authorship network of co-authors of Gyu-In Jee

This figure shows the co-authorship network connecting the top 25 collaborators of Gyu-In Jee. A scholar is included among the top collaborators of Gyu-In Jee 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 Gyu-In Jee. Gyu-In Jee 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.
Kim, Kyuwon, et al.. (2018). Vehicle Localization Using Road Marking Image Matching (ICCAS 2018). International Conference on Control, Automation and Systems. 1 indexed citations
2.
Jee, Gyu-In, et al.. (2012). An indoor positioning system for a first responder in an emergency environment. International Conference on Control, Automation and Systems. 1368–1372. 6 indexed citations
3.
Jee, Gyu-In, et al.. (2011). Kalman filter based on-line calibration of laser scanner for vehicle navigation. International Conference on Control, Automation and Systems. 1437–1441. 3 indexed citations
4.
Lee, Inwon, et al.. (2011). Susceptibility of Spoofing On A GPS L1 C/A Signal Tracking Loop. The Journal of Advanced Navigation Technology. 15(1). 32–38. 2 indexed citations
5.
Kim, Kwang-Hoon, et al.. (2010). Performance Improvement of GPS/DR Car Navigation System Using Vehicle Movement Information. The Journal of Korea Robotics Society. 5(1). 55–63. 3 indexed citations
6.
Jee, Gyu-In, et al.. (2008). Comparison of GPS Tracking Loop Performance in High Dynamic Condition with Nonlinear Filtering Techniques. Seoul National University Open Repository (Seoul National University). 2351–2360. 5 indexed citations
7.
Kim, Kwang-Hoon, et al.. (2008). Carrier Tracking Loop using the Adaptive Two-Stage Kalman Filter for High Dynamic Situations. International Journal of Control Automation and Systems. 6(6). 948–953. 30 indexed citations
8.
Lee, Young Jae, et al.. (2006). Performance Improvement of Wald Test for Resolving GPS Integer Ambiguity Using a Baseline-Length Constraint. International Journal of Control Automation and Systems. 4(3). 333–343. 2 indexed citations
9.
Jee, Gyu-In, et al.. (2005). Indoor Positioning Using Wireless LAN Signal Propagation Model and Reference Points. 1107–1112. 1 indexed citations
10.
Jee, Gyu-In, et al.. (2005). A FPGA-based Software GPS Receiver Implementation Using Simulink and Xilinx System Generator. Proceedings of the 18th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2005). 234–240. 4 indexed citations
11.
Jee, Gyu-In, et al.. (2005). Indoor Positioning Using Time Synchronized Switching GPS Repeater. Proceedings of the 18th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2005). 2769–2774. 5 indexed citations
12.
Rizos, Chris, et al.. (2004). Design of kinematic DGNSS filters with consistent error covariance information. IEE Proceedings - Radar Sonar and Navigation. 151(6). 382–388. 12 indexed citations
13.
Jee, Gyu-In, et al.. (2002). A GPS C/A Code Tracking Loop Based on Extended Kalman Filter with Multipath Mitigation. Proceedings of the 15th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GPS 2002). 446–451. 21 indexed citations
14.
Jee, Gyu-In, et al.. (2002). GPS/DR Integration for Mobile Robot Navigation. 제어로봇시스템학회 국제학술대회 논문집. 50–54. 2 indexed citations
15.
Ma, Changlin, Gyu-In Jee, Glenn MacGougan, et al.. (2001). GPS Signal Degradation Modeling. Proceedings of the 14th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GPS 2001). 882–893. 22 indexed citations
16.
Lee, Young-Sik, et al.. (2000). Internet Based DGPS for Mobile Communication User. 586–590. 2 indexed citations
17.
Jee, Gyu-In, et al.. (2000). GPS Signal Processing Algorithm for Software GPS Receiver. 2338–2345. 1 indexed citations
18.
Lee, Young Jae, et al.. (1999). A Real Time Ambiguity Search Technique for Precise Positioning Using GPS L1 Carrier Phase. 1589–1596. 1 indexed citations
19.
Jee, Gyu-In, et al.. (1997). Stationary Alignment of Strapdown Inertial Navigation System Using GPS Carrier Phase Measurements. 329–337. 4 indexed citations
20.
Park, Chansik, et al.. (1997). Efficient technique to fix GPS carrierphase integer ambiguityon-the-fly. IEE Proceedings - Radar Sonar and Navigation. 144(3). 148–155. 14 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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