| Year |
Citation |
Score |
| 2019 |
Ren L, Ban X, Ying H. Feedback-linearization-based control of discrete-time quadratic TS fuzzy systems with disturbances Journal of Intelligent & Fuzzy Systems. 36: 1759-1772. DOI: 10.3233/Jifs-18454 |
0.322 |
|
| 2019 |
Zhou H, Ying H, Zhang C. Effects of Increasing the Footprints of Uncertainty on Analytical Structure of the Classes of Interval Type-2 Mamdani and TS Fuzzy Controllers Ieee Transactions On Fuzzy Systems. 27: 1881-1890. DOI: 10.1109/Tfuzz.2019.2892354 |
0.342 |
|
| 2019 |
Ban X, Ren L, Yan Z, Ying H. Perfect tracking control of discrete-time quadratic TS fuzzy systems via feedback linearisation International Journal of Systems Science. 50: 2316-2332. DOI: 10.1080/00207721.2019.1655601 |
0.323 |
|
| 2018 |
Xie S, Xie Y, Ying H, Gui W, Yang C. A Hybrid Control Strategy for Real-Time Control of the Iron Removal Process of the Zinc Hydrometallurgy Plants Ieee Transactions On Industrial Informatics. 14: 5278-5288. DOI: 10.1109/Tii.2018.2815659 |
0.301 |
|
| 2017 |
Viswanathan V, Sheppard JP, Kim BW, Plantz CL, Ying H, Lee MJ, Raman K, Mulhern FJ, Block MP, Calder B, Lee S, Mortensen DT, Blood AJ, Breiter HC. A Quantitative Relationship between Signal Detection in Attention and Approach/Avoidance Behavior. Frontiers in Psychology. 8: 122. PMID 28270776 DOI: 10.3389/Fpsyg.2017.00122 |
0.759 |
|
| 2017 |
Marques NR, Ford BJ, Khan MN, Kinsky M, Deyo DJ, Mileski WJ, Ying H, Kramer GC. Automated closed-loop resuscitation of multiple hemorrhages: a comparison between fuzzy logic and decision table controllers in a sheep model. Disaster and Military Medicine. 3: 1. PMID 28265453 DOI: 10.1186/S40696-016-0029-0 |
0.343 |
|
| 2016 |
Ji Y, Ying H, Tran J, Dews P, Massanari RM. Integrating unified medical language system and association mining techniques into relevance feedback for biomedical literature search. Bmc Bioinformatics. 17: 264. PMID 27453982 DOI: 10.1186/S12859-016-1129-Z |
0.679 |
|
| 2016 |
Zhou H, Ying H. Deriving and Analyzing Analytical Structures of a Class of Typical Interval Type-2 TS Fuzzy Controllers. Ieee Transactions On Cybernetics. PMID 27254877 DOI: 10.1109/Tcyb.2016.2570239 |
0.32 |
|
| 2016 |
Ji Y, Ying H, Tran J, Dews P, Lau SY, Massanari RM. A functional temporal association mining approach for screening potential drug-drug interactions from electronic patient databases. Informatics For Health & Social Care. 1-18. PMID 26822186 DOI: 10.3109/17538157.2015.1064427 |
0.708 |
|
| 2016 |
Albousefi AA, Ying H, Filev D, Syed F, Prakah-Asante KO, Tseng F, Yang HH. A two-stage-training support vector machine approach to predicting unintentional vehicle lane departure Journal of Intelligent Transportation Systems: Technology, Planning, and Operations. 1-11. DOI: 10.1080/15472450.2016.1196141 |
0.665 |
|
| 2015 |
Ying H. A sufficient condition on a general class of interval type-2 Takagi-Sugeno fuzzy systems with linear rule consequent as universal approximators Journal of Intelligent and Fuzzy Systems. 29: 1219-1227. DOI: 10.3233/Ifs-151730 |
0.327 |
|
| 2015 |
Ji Y, Ying H, Tran J, Dews P, Massanari RM. Integrating association mining into relevance feedback for biomedical literature search Proceedings - 2015 Ieee International Conference On Bioinformatics and Biomedicine, Bibm 2015. 531-536. DOI: 10.1109/BIBM.2015.7359739 |
0.666 |
|
| 2014 |
Ji Y, Ying H, Tran J, Dews P, Mansour A, Massanari RM. A temporal interestingness measure for drug interaction signal detection in post-marketing surveillance. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2014: 2722-5. PMID 25570553 DOI: 10.1109/EMBC.2014.6944185 |
0.78 |
|
| 2013 |
Ji Y, Ying H, Tran J, Dews P, Mansour A, Michael Massanari R. A method for mining infrequent causal associations and its application in finding adverse drug reaction signal pairs Ieee Transactions On Knowledge and Data Engineering. 25: 721-733. DOI: 10.1109/Tkde.2012.28 |
0.788 |
|
| 2013 |
Zhou H, Ying H. A method for deriving the analytical structure of a broad class of typical interval type-2 mamdani fuzzy controllers Ieee Transactions On Fuzzy Systems. 21: 447-458. DOI: 10.1109/Tfuzz.2012.2226891 |
0.343 |
|
| 2012 |
Du X, Ying H, Lin F. On modeling of fuzzy hybrid systems Journal of Intelligent & Fuzzy Systems. 23: 129-141. DOI: 10.3233/Ifs-2012-0501 |
0.337 |
|
| 2012 |
Mansour A, Ying H, Dews P, Ji Y, Massanari RM. Identifying adverse drug reaction signal pairs by a multi-agent intelligent system with fuzzy decision model 2012 Annual Meeting of the North American Fuzzy Information Processing Society, Nafips 2012. DOI: 10.1109/NAFIPS.2012.6290989 |
0.71 |
|
| 2011 |
Ji Y, Ying H, Dews P, Mansour A, Tran J, Miller RE, Massanari RM. A potential causal association mining algorithm for screening adverse drug reactions in postmarketing surveillance. Ieee Transactions On Information Technology in Biomedicine : a Publication of the Ieee Engineering in Medicine and Biology Society. 15: 428-37. PMID 21435986 DOI: 10.1109/TITB.2011.2131669 |
0.794 |
|
| 2011 |
Mansour A, Ying H, Dews P, Ji Y, Yen J, Miller RE, Massanari RM. Finding similar patients in a multi-agent environment Annual Conference of the North American Fuzzy Information Processing Society - Nafips. DOI: 10.1109/NAFIPS.2011.5752003 |
0.746 |
|
| 2011 |
Ji Y, Ying H, Dews P, Tran J, Mansour A, Miller RE, Massanari RM. An exclusive causal-leverage measure for detecting adverse drug reactions from electronic medical records Annual Conference of the North American Fuzzy Information Processing Society - Nafips. DOI: 10.1109/NAFIPS.2011.5751957 |
0.766 |
|
| 2011 |
Ji Y, Dews P, Ying H, Mansour A, Tran J, Massanari RM. Mining infrequent causal associations in electronic health databases Proceedings - Ieee International Conference On Data Mining, Icdm. 421-428. DOI: 10.1109/ICDMW.2011.120 |
0.743 |
|
| 2011 |
Zhou H, Ying H, Duan J. Adaptive control using interval Type-2 fuzzy logic for uncertain nonlinear systems Journal of Central South University. 18: 760-766. DOI: 10.1007/S11771-011-0760-0 |
0.323 |
|
| 2010 |
Ji Y, Ying H, Farber MS, Yen J, Dews P, Miller RE, Massanari RM. A distributed, collaborative intelligent agent system approach for proactive postmarketing drug safety surveillance. Ieee Transactions On Information Technology in Biomedicine : a Publication of the Ieee Engineering in Medicine and Biology Society. 14: 826-37. PMID 20007038 DOI: 10.1109/TITB.2009.2037007 |
0.72 |
|
| 2010 |
Du X, Ying H. Derivation and analysis of the analytical structures of the interval type-2 fuzzy-PI and PD controllers Ieee Transactions On Fuzzy Systems. 18: 802-814. DOI: 10.1109/Tfuzz.2010.2049022 |
0.317 |
|
| 2010 |
Mansour A, Ying H, Dews P, Ji Y, Farber MS, Yen J, Miller RE, Massanari RM. A multi-agent system for detecting adverse drug reactions Annual Conference of the North American Fuzzy Information Processing Society - Nafips. DOI: 10.1109/NAFIPS.2010.5548293 |
0.769 |
|
| 2010 |
Ji Y, Ying H, Dews P, Farber MS, Mansour A, Tran J, Miller RE, Massanari RM. A fuzzy recognition-primed decision model-based causal association mining algorithm for detecting adverse drug reactions in postmarketing surveillance 2010 Ieee World Congress On Computational Intelligence, Wcci 2010. DOI: 10.1109/FUZZY.2010.5584288 |
0.787 |
|
| 2009 |
Du X, Ying H, Lin F. Theory of Extended Fuzzy Discrete-Event Systems for Handling Ranges of Knowledge Uncertainties and Subjectivity Ieee Transactions On Fuzzy Systems. 17: 316-328. DOI: 10.1109/Tfuzz.2008.2011279 |
0.322 |
|
| 2008 |
Jafar I, Ying H. New algorithms for contrast enhancement in grayscale images based on the variational definition of histogram equalization Integrated Computer-Aided Engineering. 15: 131-147. DOI: 10.3233/Ica-2008-15204 |
0.721 |
|
| 2008 |
Ji Y, Ying H, Farber MS, Yen J, Dews P, Miller RE, Massanari RM. Identifying unknown adverse drug reaction signal pairs in postmarketing surveillance using an active Multi-agent system approach Proceedings - 8th Ieee International Conference On Computer and Information Technology Workshops, Cit Workshops 2008. 444-449. DOI: 10.1109/CIT.2008.Workshops.32 |
0.688 |
|
| 2008 |
Du X, Zhang N, Ying H. Structure analysis and system design for a class of Mamdani fuzzy controllers International Journal of General Systems. 37: 83-101. DOI: 10.1080/03081070701500067 |
0.344 |
|
| 2007 |
Lin F, Ying H, Macarthur RD, Cohn JA, Barth-Jones D, Crane LR. Decision Making in Fuzzy Discrete Event Systems1. Information Sciences. 177: 3749-3763. PMID 19562097 DOI: 10.1016/J.Ins.2007.03.011 |
0.342 |
|
| 2007 |
Ji Y, Ying H, Farber MS, Yen J, Dews P, Miller RE, Massanari RM. Distributed, collaborative intelligent agents for proactive post-marketing drug safety surveillance Annual Conference of the North American Fuzzy Information Processing Society - Nafips. 158-163. DOI: 10.1109/NAFIPS.2007.383829 |
0.664 |
|
| 2007 |
Ji Y, Massanari RM, Ager J, Yen J, Miller RE, Ying H. A fuzzy logic-based computational recognition-primed decision model Information Sciences. 177: 4338-4353. DOI: 10.1016/J.Ins.2007.02.026 |
0.724 |
|
| 2007 |
Ji Y, Ying H, Yen J, Zhu S, Barth-Jones DC, Miller RE, Massanari RM. A distributed adverse drug reaction detection system using intelligent agents with a fuzzy recognition-primed decision model: Research Articles Journal of Intelligent Systems. 22: 827-845. DOI: 10.1002/Int.V22:8 |
0.734 |
|
| 2007 |
Ji Y, Ying H, Yen J, Zhu S, Barth-Jones DC, Miller RE, Massanari RM. A distributed adverse drug reaction detection system using intelligent agents with a fuzzy recognition-primed decision model International Journal of Intelligent Systems. 22: 827-845. DOI: 10.1002/Int.20230 |
0.734 |
|
| 2006 |
Jafar I, Ying H, Shields AF, Muzik O. Computerized detection of lung tumors in PET/CT images. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 1: 2320-3. PMID 17946104 DOI: 10.1109/IEMBS.2006.259238 |
0.698 |
|
| 2006 |
Ying H. Deriving analytical input-output relationship for fuzzy controllers using arbitrary input fuzzy sets and Zadeh fuzzy AND operator Ieee Transactions On Fuzzy Systems. 14: 654-662. DOI: 10.1109/Tfuzz.2006.877355 |
0.339 |
|
| 2006 |
Gao L, Ding Y, Ying H. Economics-inspired decentralized control approach for adaptive grid services and applications: Research Articles Journal of Intelligent Systems. 21: 1269-1288. DOI: 10.1002/Int.V21:12 |
0.314 |
|
| 2005 |
Ji Y, Ying H, Barth-Jones D, Yen J, Zhu S, Miller R, Michael Massanari R. A team agent approach to postmarketing surveillance of adverse drug reactions. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 7: 6969-72. PMID 17281878 DOI: 10.1109/IEMBS.2005.1616109 |
0.696 |
|
| 2005 |
Ying H. Structure and stability analysis of general mamdani fuzzy dynamic models International Journal of Intelligent Systems. 20: 103-125. DOI: 10.1002/Int.V20:1 |
0.323 |
|
| 2004 |
Haj-Ali A, Ying H. Structural analysis of fuzzy controllers with nonlinear input fuzzy sets in relation to nonlinear PID control with variable gains Automatica. 40: 1551-1559. DOI: 10.1016/J.Automatica.2004.03.019 |
0.757 |
|
| 2003 |
Ying H. A general technique for deriving analytical structure of fuzzy controllers using arbitrary trapezoidal input fuzzy sets and Zadeh AND operator Automatica. 39: 1171-1184. DOI: 10.1016/S0005-1098(03)00086-4 |
0.332 |
|
| 2003 |
Ren L, Ding Y, Ying H, Shao S. Emergence of self-learning fuzzy systems by a new virus DNA-based evolutionary algorithm International Journal of Intelligent Systems. 18: 339-354. DOI: 10.1002/Int.10097 |
0.337 |
|
| 2001 |
Lu J, Chen G, Ying H. Predictive fuzzy PID control: theory, design and simulation Information Sciences. 137: 157-187. DOI: 10.1016/S0020-0255(01)00119-0 |
0.349 |
|
| 2000 |
Ying H. Theory and application of a novel fuzzy PID controller using a simplified Takagi-Sugeno rule scheme Information Sciences. 123: 281-293. DOI: 10.1016/S0020-0255(99)00133-4 |
0.35 |
|
| 1999 |
Ying H. Analytical structure of the typical fuzzy controllers employing trapezoidal input fuzzy sets and nonlinear control rules Information Sciences. 116: 177-203. DOI: 10.1016/S0020-0255(98)10096-8 |
0.333 |
|
| 1998 |
Ying H. General SISO Takagi-Sugeno fuzzy systems with linear rule consequent are universal approximators Ieee Transactions On Fuzzy Systems. 6: 582-587. DOI: 10.1109/91.728456 |
0.336 |
|
| 1998 |
Ying H. Constructing nonlinear variable gain controllers via the Takagi-Sugeno fuzzy control Ieee Transactions On Fuzzy Systems. 6: 226-234. DOI: 10.1109/91.669021 |
0.349 |
|
| 1998 |
Ying H. General Takagi-Sugeno fuzzy systems with simplified linear rule consequent are universal controllers, models and filters Information Sciences. 108: 91-107. DOI: 10.1016/S0020-0255(97)10058-5 |
0.344 |
|
| 1998 |
Ying H. Brief Paper: An Analytical Study on Structure, Stability and Design of General Nonlinear Takagi-Sugeno Fuzzy Control Systems Automatica. 34: 1617-1623. DOI: 10.1016/S0005-1098(98)80017-4 |
0.33 |
|
| 1998 |
Ying H. Regular paper: The Takagi-Sugeno fuzzy controllers using the simplified linear control rules are nonlinear variable gain controllers Automatica. 34: 157-167. DOI: 10.1016/S0005-1098(97)00173-8 |
0.337 |
|
| 1997 |
Chen G, Ying H. BIBO stability of nonlinear fuzzy PI control systems Journal of Intelligent and Fuzzy Systems. 5: 245-256. DOI: 10.3233/Ifs-1997-5306 |
0.325 |
|
| 1997 |
Ying H, Chen G. Necessary Conditions for Some Typical Fuzzy Systems as Universal Approximators Automatica. 33: 1333-1338. DOI: 10.1016/S0005-1098(97)00026-5 |
0.326 |
|
| 1995 |
Ying H. Essentials of fuzzy modeling and control Journal of the American Society For Information Science. 46: 791-792. DOI: 10.1002/(Sici)1097-4571(199512)46:10<791::Aid-Asi12>3.0.Co;2-H |
0.319 |
|
| 1994 |
Ying H. Analytical structure of a two-input two-output fuzzy controller and its relation to PI and multilevel relay controllers Fuzzy Sets and Systems. 63: 21-33. DOI: 10.1016/0165-0114(94)90142-2 |
0.343 |
|
| 1994 |
Ying H. Analytical structure of a fuzzy controller with linear control rules Information Sciences. 81: 213-227. DOI: 10.1016/0020-0255(94)90098-1 |
0.328 |
|
| 1994 |
Ying H. Practical design of nonlinear fuzzy controllers with stability analysis for regulating processes with unknown mathematical models Automatica. 30: 1185-1195. DOI: 10.1016/0005-1098(94)90213-5 |
0.332 |
|
| 1994 |
Ying H. Sufficient conditions on general fuzzy systems as function approximators Automatica. 30: 521-525. DOI: 10.1016/0005-1098(94)90130-9 |
0.33 |
|
| 1993 |
Ying H. A nonlinear fuzzy controller with linear control rules is the sum of a global two-dimensional multilevel relay and a local nonlinear proportional-integral controller Automatica. 29: 499-505. DOI: 10.1016/0005-1098(93)90146-K |
0.315 |
|
| 1993 |
Ying H. General analytical structure of typical fuzzy controllers and their limiting structure theorems Automatica. 29: 1139-1143. DOI: 10.1016/0005-1098(93)90115-A |
0.336 |
|
| 1993 |
Ying H. The simplest fuzzy controllers using different inference methods are different nonlinear proportional-integral controllers with variable gains Automatica. 29: 1579-1589. DOI: 10.1016/0005-1098(93)90025-O |
0.336 |
|
| 1992 |
Ying H, McEachern M, Eddleman DW, Sheppard LC. Fuzzy control of mean arterial pressure in postsurgical patients with sodium nitroprusside infusion. Ieee Transactions On Bio-Medical Engineering. 39: 1060-70. PMID 1452172 DOI: 10.1109/10.161338 |
0.739 |
|
| 1991 |
Buckley JJ, Ying H. Expert fuzzy controller Fuzzy Sets and Systems. 44: 373-390. DOI: 10.1016/0165-0114(91)90244-K |
0.351 |
|
| 1990 |
Ying H, Siler W, Buckley JJ. Fuzzy control theory: a nonlinear case Automatica. 26: 513-520. DOI: 10.1016/0005-1098(90)90022-A |
0.345 |
|
| 1989 |
Siler W, Ying H. Fuzzy control theory: The linear case Fuzzy Sets and Systems. 33: 275-290. DOI: 10.1016/0165-0114(89)90118-8 |
0.339 |
|
| 1989 |
Buckley JJ, Ying H. Fuzzy controller theory: Limit theorems for linear fuzzy control rules Automatica. 25: 469-472. DOI: 10.1016/0005-1098(89)90017-4 |
0.338 |
|
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