Guobin Chang

2.2k total citations
99 papers, 1.8k citations indexed

About

Guobin Chang is a scholar working on Aerospace Engineering, Oceanography and Artificial Intelligence. According to data from OpenAlex, Guobin Chang has authored 99 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Aerospace Engineering, 48 papers in Oceanography and 33 papers in Artificial Intelligence. Recurrent topics in Guobin Chang's work include Inertial Sensor and Navigation (53 papers), Geophysics and Gravity Measurements (48 papers) and GNSS positioning and interference (44 papers). Guobin Chang is often cited by papers focused on Inertial Sensor and Navigation (53 papers), Geophysics and Gravity Measurements (48 papers) and GNSS positioning and interference (44 papers). Guobin Chang collaborates with scholars based in China, Netherlands and United States. Guobin Chang's co-authors include Baiqing Hu, Lubin Chang, Tianhe Xu, Chao Chen, Qianxin Wang, Chao Chen, Jingxiang Gao, An Li, An Li and Ting Zhu and has published in prestigious journals such as Automatica, IEEE Transactions on Power Systems and IEEE Access.

In The Last Decade

Guobin Chang

94 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guobin Chang China 24 1.2k 879 462 351 241 99 1.8k
Malcolm D. Shuster United States 17 1.6k 1.3× 552 0.6× 561 1.2× 220 0.6× 680 2.8× 43 2.0k
Itzhack Y. Bar‐Itzhack Israel 29 2.7k 2.2× 1.5k 1.7× 872 1.9× 476 1.4× 476 2.0× 135 3.1k
Christian Tiberius Netherlands 28 1.9k 1.6× 241 0.3× 1.2k 2.5× 525 1.5× 67 0.3× 113 2.5k
Peng‐Lang Shui China 30 1.6k 1.4× 508 0.6× 578 1.3× 234 0.7× 143 0.6× 222 2.8k
Ling Yang China 17 561 0.5× 147 0.2× 203 0.4× 242 0.7× 134 0.6× 54 868
Joseph Tabrikian Israel 28 1.8k 1.5× 667 0.8× 366 0.8× 659 1.9× 208 0.9× 154 3.3k
Olivier Besson France 33 1.7k 1.4× 427 0.5× 288 0.6× 768 2.2× 113 0.5× 190 3.4k
Demoz Gebre‐Egziabher United States 21 1.6k 1.3× 691 0.8× 305 0.7× 486 1.4× 210 0.9× 100 2.0k
S.U. Pillai United States 21 1.7k 1.4× 216 0.2× 424 0.9× 781 2.2× 67 0.3× 79 3.4k
D. Weiner United States 17 877 0.7× 205 0.2× 166 0.4× 372 1.1× 110 0.5× 81 1.6k

Countries citing papers authored by Guobin Chang

Since Specialization
Citations

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

Fields of papers citing papers by Guobin Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guobin Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Guobin Chang. A scholar is included among the top collaborators of Guobin Chang 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 Guobin Chang. Guobin Chang 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.
Chang, Guobin, et al.. (2025). General measurement model of distributed accelerometers for inertial navigation. Measurement Science and Technology. 36(5). 56204–56204.
2.
Feng, Yong, et al.. (2024). Suppressing stripe noise in GRACE/GFO level-2 products with dual low-pass filtering. Acta Geodaetica et Geophysica. 59(4). 405–425.
3.
Chang, Guobin, et al.. (2021). SINS attitude algorithm based on moving-window overdetermined polynomial fitting of gyro outputs. Measurement Science and Technology. 33(1). 15015–15015.
4.
Chang, Guobin, et al.. (2021). Sparse Hardy function model of regional velocity field from GNSS data. Measurement Science and Technology. 32(12). 125011–125011. 1 indexed citations
5.
Chang, Guobin, et al.. (2021). An improved TDCP-GNSS/INS integration scheme considering small cycle slip for low-cost land vehicular applications. Measurement Science and Technology. 32(5). 55006–55006. 22 indexed citations
6.
Chang, Guobin, et al.. (2021). Downward continuation of airborne gravity data based on iterative methods. Acta Geodaetica et Geophysica. 56(3). 539–558. 1 indexed citations
7.
Zhang, Siyu, et al.. (2020). Attitude determination using gyros and vector measurements aided with adaptive kinematics modeling. Measurement. 157. 107679–107679. 14 indexed citations
8.
Chen, Baowei, et al.. (2019). Analytical and Iterative Solutions to GNSS Attitude Determination Problem in Measurement Domain. Mathematical Problems in Engineering. 2019(1). 3 indexed citations
9.
Chen, Chao & Guobin Chang. (2019). Low-cost GNSS/INS integration for enhanced land vehicle performance. Measurement Science and Technology. 31(3). 35009–35009. 39 indexed citations
10.
Chang, Guobin, et al.. (2019). An adaptive Kalman filter based on variance component estimation for a real-time ZTD solution. Acta Geodaetica et Geophysica. 54(1). 89–121. 9 indexed citations
11.
Chang, Guobin, Chao Chen, Yuanxi Yang, & Tianhe Xu. (2018). Tikhonov Regularization Based Modeling and Sidereal Filtering Mitigation of GNSS Multipath Errors. Remote Sensing. 10(11). 1801–1801. 24 indexed citations
12.
Chang, Guobin, et al.. (2018). Iterative solution of Helmert transformation based on a unit dual quaternion. Acta Geodaetica et Geophysica. 54(1). 123–141. 13 indexed citations
13.
Chang, Guobin, Tianhe Xu, Qianxin Wang, Shubi Zhang, & Guoliang Chen. (2017). A generalization of the analytical least-squares solution to the 3D symmetric Helmert coordinate transformation problem with an approximate error analysis. Advances in Space Research. 59(10). 2600–2610. 11 indexed citations
14.
Chang, Guobin, Tianhe Xu, & Qianxin Wang. (2016). Alternative framework for the iterated unscented Kalman filter. IET Signal Processing. 11(3). 258–264. 10 indexed citations
15.
Chang, Guobin, et al.. (2016). Baseline configuration for GNSS attitude determination with an analytical least-squares solution. Measurement Science and Technology. 27(12). 125105–125105. 11 indexed citations
16.
Chang, Guobin & Ming Liu. (2015). Hybrid Kalman and unscented Kalman filters for INS/GPS integrated system considering constant lever arm effect. Journal of Central South University. 22(2). 575–583. 9 indexed citations
17.
Chang, Guobin. (2013). Tests of Multi-type Airborne Gravimeters and Data Analysis. Hydrographic Surveying and Charting. 4 indexed citations
18.
Chang, Guobin. (2011). Error analysis of rotation modulating strapdown inertial navigation system. Journal of Naval University of Engineering. 1 indexed citations
19.
Li, An, Guobin Chang, Fangjun Qin, & Hongwu Li. (2010). Improved precision of strapdown inertial navigation system brought by dual-axis continuous rotation of inertial measurement unit. 284–287. 13 indexed citations
20.
Chang, Guobin, et al.. (1990). Knowledge-based distribution system analysis and reconfiguration. IEEE Transactions on Power Systems. 5(3). 744–749. 39 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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