Dah‐Jing Jwo

1.6k total citations
78 papers, 1.2k citations indexed

About

Dah‐Jing Jwo is a scholar working on Aerospace Engineering, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Dah‐Jing Jwo has authored 78 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Aerospace Engineering, 60 papers in Artificial Intelligence and 7 papers in Computational Mechanics. Recurrent topics in Dah‐Jing Jwo's work include Target Tracking and Data Fusion in Sensor Networks (56 papers), Inertial Sensor and Navigation (54 papers) and GNSS positioning and interference (46 papers). Dah‐Jing Jwo is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (56 papers), Inertial Sensor and Navigation (54 papers) and GNSS positioning and interference (46 papers). Dah‐Jing Jwo collaborates with scholars based in Taiwan and New Zealand. Dah‐Jing Jwo's co-authors include Sheng‐Hung Wang, Ting-Yu Lee, Sheng-Fuu Lin, Yi Chang, Chih‐Wen Chang, C.-L. Hsu, Kai‐Lun Yu, Chengmin Huang, Lun-Chi Chen and Chiahsin Lin and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Dah‐Jing Jwo

74 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dah‐Jing Jwo Taiwan 20 715 649 223 196 121 78 1.2k
Axel Barrau France 15 966 1.4× 590 0.9× 358 1.6× 199 1.0× 147 1.2× 37 1.3k
Baiqing Hu China 19 835 1.2× 881 1.4× 249 1.1× 193 1.0× 211 1.7× 41 1.2k
Jian Lan China 20 529 0.7× 923 1.4× 225 1.0× 262 1.3× 108 0.9× 109 1.3k
Meiping Wu China 15 691 1.0× 420 0.6× 170 0.8× 124 0.6× 137 1.1× 67 982
Emre Özkan Sweden 15 307 0.4× 715 1.1× 140 0.6× 216 1.1× 60 0.5× 37 934
Jindřich Duník Czechia 18 581 0.8× 1.1k 1.8× 132 0.6× 531 2.7× 113 0.9× 122 1.4k
Emmanuel Duflos France 14 393 0.5× 391 0.6× 229 1.0× 90 0.5× 218 1.8× 40 896
Gyu-In Jee South Korea 22 635 0.9× 248 0.4× 494 2.2× 115 0.6× 128 1.1× 85 1.1k
Guoqing Wang China 21 520 0.7× 676 1.0× 170 0.8× 316 1.6× 133 1.1× 95 1.3k

Countries citing papers authored by Dah‐Jing Jwo

Since Specialization
Citations

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

Fields of papers citing papers by Dah‐Jing Jwo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dah‐Jing Jwo. 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 Dah‐Jing Jwo. The network helps show where Dah‐Jing Jwo may publish in the future.

Co-authorship network of co-authors of Dah‐Jing Jwo

This figure shows the co-authorship network connecting the top 25 collaborators of Dah‐Jing Jwo. A scholar is included among the top collaborators of Dah‐Jing Jwo 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 Dah‐Jing Jwo. Dah‐Jing Jwo 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.
Jwo, Dah‐Jing, et al.. (2025). Towards Explainable Artificial Intelligence for GNSS Multipath LSTM Training Models. Sensors. 25(3). 978–978. 1 indexed citations
2.
Jwo, Dah‐Jing, et al.. (2025). Dynamic Modeling and Its Impact on Estimation Accuracy for GPS Navigation Filters. Sensors. 25(3). 972–972. 1 indexed citations
3.
Jwo, Dah‐Jing, et al.. (2024). An extended Kalman filter with mixture kernel maximum correntropy criterion for GPS navigation applications. Transactions of the Institute of Measurement and Control. 48(4). 772–780. 1 indexed citations
4.
Jwo, Dah‐Jing, et al.. (2024). Transformer-Based Ionospheric Prediction and Explainability Analysis for Enhanced GNSS Positioning. Remote Sensing. 17(1). 81–81. 1 indexed citations
5.
Jwo, Dah‐Jing, et al.. (2023). Artificial Neural Networks for Navigation Systems: A Review of Recent Research. Applied Sciences. 13(7). 4475–4475. 34 indexed citations
6.
Jwo, Dah‐Jing, et al.. (2023). A Robust GPS Navigation Filter Based on Maximum Correntropy Criterion with Adaptive Kernel Bandwidth. Sensors. 23(23). 9386–9386. 7 indexed citations
7.
Jwo, Dah‐Jing, et al.. (2022). Variational Bayesian Based IMM Robust GPS Navigation Filter. Computers, materials & continua/Computers, materials & continua (Print). 72(1). 755–773.
8.
Jwo, Dah‐Jing, et al.. (2021). Person Retrieval in Video Surveillance Using Deep Learning–Based Instance Segmentation. Journal of Sensors. 2021(1). 9 indexed citations
9.
Jwo, Dah‐Jing, et al.. (2021). GPS Vector Tracking Loop with Fault Detection and Exclusion. Computers, materials & continua/Computers, materials & continua (Print). 68(2). 1785–1805. 1 indexed citations
10.
Jwo, Dah‐Jing. (2020). Estimation of Quaternion Motion for GPS-based Attitude Determination Using the Extended Kalman Filter. Computers, materials & continua/Computers, materials & continua (Print). 66(2). 2105–2126. 6 indexed citations
11.
Jwo, Dah‐Jing, et al.. (2013). Performance enhancement for ultra-tight GPS/INS integration using a fuzzy adaptive strong tracking unscented Kalman filter. Nonlinear Dynamics. 73(1-2). 377–395. 73 indexed citations
12.
13.
Jwo, Dah‐Jing, et al.. (2011). Interacting multiple model nonlinear filter design for ultra-tightly coupled integrated navigation. Asian Control Conference. 1294–1299. 1 indexed citations
14.
Jwo, Dah‐Jing, et al.. (2009). GPS navigation processing using the quaternion-based divided difference filter. GPS Solutions. 14(3). 217–228. 7 indexed citations
15.
Jwo, Dah‐Jing, et al.. (2007). A practical note on evaluating Kalman filter performance optimality and degradation. Applied Mathematics and Computation. 193(2). 482–505. 50 indexed citations
16.
Jwo, Dah‐Jing. (2006). Remarks on the Kalman filtering simulation and verification. Applied Mathematics and Computation. 186(1). 159–174. 4 indexed citations
17.
Jwo, Dah‐Jing. (2004). Incorporation of neural network-like processors for GPS navigation. GPS Solutions. 8(3). 160–169. 3 indexed citations
18.
Jwo, Dah‐Jing, et al.. (2003). Mixed H/sub 2//H/sub /spl infin// filtering approach for GPS/INS navigation systems. i. 409–414. 3 indexed citations
19.
Jwo, Dah‐Jing. (2001). GPS Receiver Performance Enhancement via Inertial Velocity Aiding. Journal of Navigation. 54(1). 105–117. 2 indexed citations
20.
Jwo, Dah‐Jing, et al.. (1996). On the Stability Investigation of Integrated GPS/INS Navigation Systems. 989–1000. 1 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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