Jinyan Li - Google Scholar Citations

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	All	Since 2014
Citations	9162	3285
h-index	40	27
i10-index	108	81

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Limsoon Wong 黄任祥KITHCT Professor of Computer Science & Professor of Pathology, National University of SingaporeVerified email at comp.nus.edu.sg
Guozhu DongProfessor, Computer Science, Wright State UniversityVerified email at wright.edu
Ramamohanarao (Rao) KotagiriProfessor, Computing and Information Systems, The University of MelbourneVerified email at unimelb.edu.au
Qian LiuThe Children’s Hospital of PhiladelphiaVerified email at e.ntu.edu.sg
Chen, Peng (陳鵬)Professor, Anhui University;Univ of Sci & Tech of China;Nanyang Techno Univ;Howard Univ;CityU;KAUSTVerified email at ahu.edu.cn
Haiquan LiAssistant Professor, University of ArizonaVerified email at email.arizona.edu
Shameek GhoshCTO, Medius HealthVerified email at mediushealth.org
Kelvin SimGICVerified email at gic.com.sg
Xiuzhen (Jenny) ZhangAssociate Professor, RMIT University, AustraliaVerified email at rmit.edu.au
See-Kiong NgInstitute of Data Science and School of Computing, National University of SingaporeVerified email at nus.edu.sg
Steven C.H. HoiManaging Director of Salesforce Research Asia; IEEE Fellow; Assoc Professor at SMUVerified email at smu.edu.sg
Qiang Yang (杨强）Chief AI Officer at WeBank, Chair Professor of Engineering @ HKUST, IJCAI President(2017.7-2019.8)Verified email at cse.ust.hk
Jian PeiProfessor of Computing Science, Simon Fraser UniversityVerified email at cs.sfu.ca
Tommy W S ChowProfessor of Electronic Engineering, City University of Hong KongVerified email at cityu.edu.hk
Chee Keong KWOHNanyang Technological UniversityVerified email at ntu.edu.sg
Longbing CaoUniversity of Technology Sydney, AustraliaVerified email at uts.edu.au
Lusheng WangCity University of Hong KongVerified email at cityu.edu.hk
Phoebe ChenProfessor of Computer Science, La Trobe University, Melbourne, AustraliaVerified email at latrobe.edu.au
Hung NguyenPro Vice-Chancellor, Swinburne University of TechnologyVerified email at swin.edu.au
John EllisProfessor of Molecular Biology, University of Technology, SydneyVerified email at uts.edu.au

Jinyan Li

Professor of Data Science, University of Technology Sydney

Verified email at uts.edu.au

Data mining bioinformatics health informatics


Title	Cited by	Year
Classification, subtype discovery, and prediction of outcome in pediatric acute lymphoblastic leukemia by gene expression profiling EJ Yeoh, ME Ross, SA Shurtleff, WK Williams, D Patel, R Mahfouz, ... Cancer cell 1 (2), 133-143, 2002	2087	2002
Efficient mining of emerging patterns: Discovering trends and differences G Dong, J Li Proceedings of the fifth ACM SIGKDD international conference on Knowledge …, 1999	1288	1999
CAEP: Classification by aggregating emerging patterns G Dong, X Zhang, L Wong, J Li International Conference on Discovery Science, 30-42, 1999	530	1999
A comparative study on feature selection and classification methods using gene expression profiles and proteomic patterns H Liu, J Li, L Wong Genome informatics 13, 51-60, 2002	515	2002
Making use of the most expressive jumping emerging patterns for classification J Li, G Dong, K Ramamohanarao Knowledge and Information systems 3 (2), 131-145, 2001	239	2001
Identifying good diagnostic gene groups from gene expression profiles using the concept of emerging patterns J Li, L Wong Bioinformatics 18 (5), 725-734, 2002	209	2002
Mining border descriptions of emerging patterns from dataset pairs G Dong, J Li Knowledge and Information Systems 8 (2), 178-202, 2005	161	2005
Simple rules underlying gene expression profiles of more than six subtypes of acute lymphoblastic leukemia (ALL) patients J Li, H Liu, JR Downing, AEJ Yeoh, L Wong Bioinformatics 19 (1), 71-78, 2003	158	2003
Interestingness of discovered association rules in terms of neighborhood-based unexpectedness G Dong, J Li Pacific-Asia Conference on Knowledge Discovery and Data Mining, 72-86, 1998	154	1998
Deeps: A new instance-based lazy discovery and classification system J Li, G Dong, K Ramamohanarao, L Wong Machine Learning 54 (2), 99-124, 2004	151	2004
Discovery of significant rules for classifying cancer diagnosis data J Li, H Liu, SK Ng, L Wong Bioinformatics 19 (suppl_2), ii93-ii102, 2003	142	2003
Mining statistically important equivalence classes and delta-discriminative emerging patterns J Li, G Liu, L Wong Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007	122	2007
Maximal biclique subgraphs and closed pattern pairs of the adjacency matrix: A one-to-one correspondence and mining algorithms J Li, G Liu, H Li, L Wong IEEE Transactions on Knowledge and Data Engineering 19 (12), 1625-1637, 2007	102	2007
Instance-based classification by emerging patterns J Li, G Dong, K Ramamohanarao European Conference on Principles of Data Mining and Knowledge Discovery …, 2000	102	2000
Emerging patterns and gene expression data J Li, L Wong Genome Informatics 12, 3-13, 2001	85	2001
Minimum description length principle: Generators are preferable to closed patterns J Li, H Li, L Wong, J Pei, G Dong AAAI, 409-414, 2006	77	2006
The Space of Jumping Emerging Patterns and Its Incremental Maintenance Algorithms. J Li, K Ramamohanarao, G Dong ICML, 551-558, 2000	73	2000
An in-silico method for prediction of polyadenylation signals in human sequences H Liu, H Han, J Li, L Wong Genome Informatics 14, 84-93, 2003	69	2003
Discovering motif pairs at interaction sites from protein sequences on a proteome-wide scale H Li, J Li, L Wong Bioinformatics 22 (8), 989-996, 2006	67	2006
Efficient mining of high confidence association rules without support thresholds J Li, X Zhang, G Dong, K Ramamohanarao, Q Sun European Conference on Principles of Data Mining and Knowledge Discovery …, 1999	63	1999

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