Liang Lan - Concepedia

Author

Liang Lan

Temple University ORCID

Also Known As

Jingkai Qin, L Lan, L. Lan, L. Liang, Lan Liang, Lan, Liang, Liang Lan, Lingjun Liang, Linying Lan, 五十嵐良雄

119

Publications

3.8K

Citations

H-Index

Concepts

All Affiliations

Temple University Hong Kong Baptist University Princeton University Huawei Technologies (China)East China Normal University

About

Liang Lan is an author at Temple University specializing in engineering, data science, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	8	8	473
2	Medicine	2	2	119
3	Arts	1	1	39
4	Education	1	1	25
5	Health Sciences	1	1	39

Liang Lan

Publications

2.2K

Citations

H-Index

Page 1

	Year	Citations
A large-scale evaluation of computational protein function prediction Predrag Radivojac, Wyatt T. Clark, Tal Oron, Nature Methods	2013	1.1K
Promises and Challenges of Big Data Computing in Health Sciences Tao Huang, Liang Lan, Xuexian Fang, Big Data Research Big Data AcquisitionEngineeringData ScienceBig Data InfrastructureBig Data Architecture	2015	203
Predicting the hearing outcome in sudden sensorineural hearing loss via machine learning models Dan Bing, Jun Ying, Jianguo Miao, Clinical Otolaryngology	2018	158
Scaling up Kernel SVM on Limited Resources: A Low-rank Linearization Approach Kai Zhang, Liang Lan, Zhuang Wang,	2012	106
MS-k NN: protein function prediction by integrating multiple data sources Liang Lan, Nemanja Djuric, Yuhong Guo, BMC Bioinformatics	2013	103
DeepDRIM: a deep neural network to reconstruct cell-type-specific gene regulatory network using single-cell RNA-seq data Jiaxing Chen, ChinWang Cheong, Liang Lan, Briefings in Bioinformatics EngineeringGeneticsDropout RateSingle-cell Rna-seq DataGene Regulatory Network	2021	75
Scaling Up Kernel SVM on Limited Resources: A Low-Rank Linearization Approach Liang Lan, Zhuang Wang, Shandian Zhe, IEEE Transactions on Neural Networks and Learning Systems Nonlinear SvmEngineeringMachine LearningLow-rank Linearization ApproachLinear Svm	2018	61
BudgetedSVM: a toolbox for scalable SVM approximations Nemanja Djuric, Liang Lan, Slobodan Vučetić,	2013	54
Scaling Up Graph-Based Semisupervised Learning via Prototype Vector Machines Kai Zhang, Liang Lan, James T. Kwok, IEEE Transactions on Neural Networks and Learning Systems	2014	47
Analysis of Molecular Mechanism of Erxian Decoction in Treating Osteoporosis Based on Formula Optimization Model Lang Yang, Liuyi Fan, Kexin Wang, Oxidative Medicine and Cellular Longevity SclerostinEngineeringBiomedical EngineeringOsteoporosisMusculoskeletal Research	2021	44

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