Ssu-Hsin Yu

933 total citations
19 papers, 643 citations indexed

About

Ssu-Hsin Yu is a scholar working on Artificial Intelligence, Ocean Engineering and Control and Systems Engineering. According to data from OpenAlex, Ssu-Hsin Yu has authored 19 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Ocean Engineering and 6 papers in Control and Systems Engineering. Recurrent topics in Ssu-Hsin Yu's work include Geophysical Methods and Applications (6 papers), Adaptive Control of Nonlinear Systems (5 papers) and Neural Networks and Applications (4 papers). Ssu-Hsin Yu is often cited by papers focused on Geophysical Methods and Applications (6 papers), Adaptive Control of Nonlinear Systems (5 papers) and Neural Networks and Applications (4 papers). Ssu-Hsin Yu collaborates with scholars based in United States. Ssu-Hsin Yu's co-authors include Avinash Gandhe, Benyuan Liu, Ross Lazarus, Jovan Boskovic, Raman K. Mehra, R.К. Mehra, Anuradha M. Annaswamy, John J. Moskwa, Thomas R. Witten and Robert E. Smith and has published in prestigious journals such as Automatica, Journal of Dynamic Systems Measurement and Control and IEEE Transactions on Neural Networks.

In The Last Decade

Ssu-Hsin Yu

17 papers receiving 607 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ssu-Hsin Yu United States 8 263 142 126 111 84 19 643
Samuel Martin France 10 36 0.1× 22 0.2× 97 0.8× 90 0.8× 159 1.9× 13 936
Christian Thiemann Germany 7 406 1.5× 23 0.2× 32 0.3× 33 0.3× 155 1.8× 14 828
Hongjian Wang United States 11 29 0.1× 125 0.9× 70 0.6× 120 1.1× 35 0.4× 16 626
Wanping Liu China 18 126 0.5× 105 0.7× 7 0.1× 103 0.9× 404 4.8× 72 1.0k
Lei Jin United States 12 33 0.1× 102 0.7× 14 0.1× 87 0.8× 32 0.4× 49 905
Shunjiang Ni China 10 19 0.1× 26 0.2× 28 0.2× 66 0.6× 89 1.1× 30 335
Xiaoyu Wang China 11 19 0.1× 109 0.8× 9 0.1× 23 0.2× 71 0.8× 57 543
Bin Zhou China 17 35 0.1× 312 2.2× 8 0.1× 99 0.9× 191 2.3× 100 743
Ravindra Singh India 15 441 1.7× 108 0.8× 8 0.1× 20 0.2× 11 0.1× 50 1.5k
Jie Sui China 6 55 0.2× 144 1.0× 4 0.0× 210 1.9× 29 0.3× 10 396

Countries citing papers authored by Ssu-Hsin Yu

Since Specialization
Citations

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

Fields of papers citing papers by Ssu-Hsin Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ssu-Hsin Yu. 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 Ssu-Hsin Yu. The network helps show where Ssu-Hsin Yu may publish in the future.

Co-authorship network of co-authors of Ssu-Hsin Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Ssu-Hsin Yu. A scholar is included among the top collaborators of Ssu-Hsin Yu 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 Ssu-Hsin Yu. Ssu-Hsin Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Yu, Ssu-Hsin, et al.. (2015). Integrate knowledge acquisition with target recognition through closed-loop ATR. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9474. 94740G–94740G. 2 indexed citations
2.
Gandhe, Avinash, et al.. (2011). Predicting Flu Trends using Twitter data. 702–707. 296 indexed citations
3.
Yu, Ssu-Hsin, et al.. (2007). Fused, multi-spectral automatic target recognition with XCS. 1874–1874. 3 indexed citations
4.
Yu, Ssu-Hsin & Raman K. Mehra. (2004). Regional processing of GPR data in an imperfect world. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5415. 923–923. 2 indexed citations
5.
Yu, Ssu-Hsin, Thomas R. Witten, & Raman K. Mehra. (2003). Acoustic-seismic mine detection based on spatial-spectral distribution of poles. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5089. 606–606. 2 indexed citations
6.
Yu, Ssu-Hsin, Avinash Gandhe, Thomas R. Witten, & Raman K. Mehra. (2002). <title>Real-time adaptable subspace method for automatic mine detection</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4742. 986–995. 2 indexed citations
7.
Yu, Ssu-Hsin, Avinash Gandhe, Thomas R. Witten, & Raman K. Mehra. (2002). <title>Physically based method for automatic mine detection using acoustic data: a transmission zero approach</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4742. 701–708. 5 indexed citations
8.
Yu, Ssu-Hsin, Avinash Gandhe, Thomas R. Witten, & Raman K. Mehra. (2000). Automatic mine detection based on multiple features. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4038. 910–910. 4 indexed citations
9.
Yu, Ssu-Hsin, et al.. (2000). <title>Unified evidence accrual for SAR: recent results</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4052. 149–159.
10.
Yu, Ssu-Hsin, Raman K. Mehra, & Thomas R. Witten. (1999). Automatic mine detection based on ground-penetrating radar. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3710. 961–961. 37 indexed citations
11.
Mahler, Ronald, et al.. (1999). Application of unified evidence accrual methods to robust SAR ATR. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3720. 71–71.
12.
Yu, Ssu-Hsin, Anuj Srivastava, & Raman K. Mehra. (1999). Automatic battle damage assessment based on laser radar imagery. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3707. 210–210. 1 indexed citations
13.
Yu, Ssu-Hsin & Anuradha M. Annaswamy. (1998). Stable Neural Controllers for Nonlinear Dynamic Systems. Automatica. 34(5). 641–650. 30 indexed citations
14.
Boskovic, Jovan, Ssu-Hsin Yu, & R.К. Mehra. (1998). A stable scheme for automatic control reconfiguration in the presence of actuator failures. 2455–2459 vol.4. 109 indexed citations
15.
Boskovic, Jovan, Ssu-Hsin Yu, & Raman K. Mehra. (1998). Stable adaptive fault-tolerant control of overactuated aircraft using multiple models, switching and tuning. Guidance, Navigation, and Control Conference and Exhibit. 57 indexed citations
16.
Yu, Ssu-Hsin & Anuradha M. Annaswamy. (1997). Adaptive control of nonlinear dynamic systems using θ-adaptive neural networks. Automatica. 33(11). 1975–1995. 17 indexed citations
17.
Annaswamy, Anuradha M. & Ssu-Hsin Yu. (1996). /spl theta/-adaptive neural networks: a new approach to parameter estimation. IEEE Transactions on Neural Networks. 7(4). 907–918. 14 indexed citations
18.
Yu, Ssu-Hsin & Anuradha M. Annaswamy. (1995). Neural Control for Nonlinear Dynamic Systems. Neural Information Processing Systems. 8. 1010–1016. 1 indexed citations
19.
Yu, Ssu-Hsin & John J. Moskwa. (1994). A Global Approach to Vehicle Control: Coordination of Four Wheel Steering and Wheel Torques. Journal of Dynamic Systems Measurement and Control. 116(4). 659–667. 61 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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