Xiaowei Xu

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	All	Since 2016
Citations	28298	14727
h-index	32	21
i10-index	52	39

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Co-authors

Hans-Peter KriegelProfessor für Informatik, Ludwig-Maximilians-University MunichVerified email at dbs.ifi.lmu.de
Martin EsterProfessor of Computer Science, Simon Fraser UniversityVerified email at cs.sfu.ca
Jörg SanderProfessor, Computing Science, University of AlbertaVerified email at ualberta.ca
Nurcan YurukUniversity of Texas at DallasVerified email at utdallas.edu
Kai YuFounder&CEO of Horizon Robotics , Founder of Baidu IDL and Baidu Autonomous DrivingVerified email at hobot.cc
Weida TongNCTRVerified email at FDA.HHS.gov
Volker TrespLudwig Maximilian University of Munich / München (LMU) and Siemens AGVerified email at dbs.ifi.lmu.de
Halil BisginUniversity of Michigan-FlintVerified email at umich.edu
Mutlu Mete, PhDTexas A&M University-CommerceVerified email at tamuc.edu
hong FangNCTR/FDAVerified email at fda.hhs.gov
Gan SunShenyang Institute of Automation, Chinese Academy of Sciences, Massachusetts Institute of TechnologyVerified email at sia.cn
Yang CongState Key Laboratory of Robotics, SIA, Chinese Academy of Sciences (CAS)Verified email at sia.cn
Weizhong ZhaoSchool of Computer, Central China Normal UniversityVerified email at mail.ccnu.edu.cn
Venkata Swamy MarthaSr. Software Engineer @ Indeed.comVerified email at ualr.edu
Nitin AgarwalJerry L. Maulden-Entergy Endowed Chair and Distinguished Professor of Information ScienceVerified email at ualr.edu
Zhao XuNEC Labs EuropeVerified email at acm.org
Erich SchubertProfessor of Data Mining, TU Dortmund UniversityVerified email at cs.tu-dortmund.de
Gal ShafirsteinProfessor of OncologyVerified email at RoswellPark.org
Manoranjan DashAssistant ProfessorVerified email at ntu.edu.sg
Qiang Yang (杨强）Chief AI Officer@WeBank, Chair Prof.@HKUST, IJCAI President 2017-19, AAAI-21 General ChairVerified email at cse.ust.hk

Xiaowei Xu

Professor of Information Science, University of Arkansas at Little Rock

Verified email at ualr.edu - Homepage

Machine Learning Deep Learning Text Mining Computer Vision


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A density-based algorithm for discovering clusters in large spatial databases with noise. M Ester, HP Kriegel, J Sander, X Xu Kdd 96 (34), 226-231, 1996	20388	1996
Density-based clustering in spatial databases: The algorithm gdbscan and its applications J Sander, M Ester, HP Kriegel, X Xu Data mining and knowledge discovery 2 (2), 169-194, 1998	1562	1998
Scan: a structural clustering algorithm for networks X Xu, N Yuruk, Z Feng, TAJ Schweiger Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007	859	2007
Frequent term-based text clustering F Beil, M Ester, X Xu Proceedings of the eighth ACM SIGKDD international conference on Knowledge …, 2002	761	2002
DBSCAN revisited, revisited: why and how you should (still) use DBSCAN E Schubert, J Sander, M Ester, HP Kriegel, X Xu ACM Transactions on Database Systems (TODS) 42 (3), 1-21, 2017	528	2017
A distribution-based clustering algorithm for mining in large spatial databases X Xu, M Ester, HP Kriegel, J Sander Proceedings 14th International Conference on Data Engineering, 324-331, 1998	454	1998
Probabilistic memory-based collaborative filtering K Yu, A Schwaighofer, V Tresp, X Xu, HP Kriegel IEEE Transactions on Knowledge and Data Engineering 16 (1), 56-69, 2004	439	2004
A fast parallel clustering algorithm for large spatial databases X Xu, J Jäger, HP Kriegel High performance data mining, 263-290, 1999	358	1999
Knowledge discovery in large spatial databases: Focusing techniques for efficient class identification M Ester, HP Kriegel, X Xu International Symposium on Spatial Databases, 67-82, 1995	301	1995
Representative sampling for text classification using support vector machines Z Xu, K Yu, V Tresp, X Xu, J Wang European conference on information retrieval, 393-407, 2003	250	2003
A database interface for clustering in large spatial databases M Ester, HP Kriegel, X Xu Inst. für Informatik, 1995	203	1995
Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96) M Ester, HP Kriegel, J Sander, X Xu AAAI Press, 1996	153	1996
In silico drug repositioning–what we need to know Z Liu, H Fang, K Reagan, X Xu, DL Mendrick, W Slikker Jr, W Tong Drug discovery today 18 (3-4), 110-115, 2013	129	2013
Density-based spatial clustering of applications with noise M Ester, HP Kriegel, J Sander, X Xu Int. Conf. Knowledge Discovery and Data Mining 240, 1996	120	1996
Clustering for mining in large spatial databases M Ester, HP Kriegel, J Sander, X Xu KI 12 (1), 18-24, 1998	105	1998
Mining FDA drug labels using an unsupervised learning technique-topic modeling H Bisgin, Z Liu, H Fang, X Xu, W Tong BMC bioinformatics 12 (10), 1-8, 2011	95	2011
A structural approach for finding functional modules from large biological networks M Mete, F Tang, X Xu, N Yuruk Bmc Bioinformatics 9 (9), 1-14, 2008	94	2008
Instance selection techniques for memory-based collaborative filtering K Yu, X Xu, J Tao, M Ester, HP Kriegel Proceedings of the 2002 SIAM International Conference on Data Mining, 59-74, 2002	93	2002
Feature weighting and instance selection for collaborative filtering: An information-theoretic approach K Yu, X Xu, M Ester, HP Kriegel Knowledge and Information Systems 5 (2), 201-224, 2003	92	2003
A study of homophily on social media H Bisgin, N Agarwal, X Xu World Wide Web 15 (2), 213-232, 2012	91	2012

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