Hui Li

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Jie SunProfessor of Zhejiang Normal UniversityDirección de correo verificada de zjnu.cn
Sai LiangCollege of Tourism and Service Management, Nankai UniversityDirección de correo verificada de nankai.edu.cn
Jian-Wu BiNankai UniversityDirección de correo verificada de nankai.edu.cn
Hamido FujitaIwate Prefectural UniversityDirección de correo verificada de acm.org
Jian WuProfessor, Shanghai Maritime UniversityDirección de correo verificada de zjnu.cn
Dongdong WuNankai University, Temple UniversityDirección de correo verificada de temple.edu
Hojjat AdeliThe Ohio State UniversityDirección de correo verificada de osu.edu
Yuhong WangJiangnan UniversityDirección de correo verificada de jiangnan.edu.cn
Young-Chan LeeProfessor of Business Analytics, Dongguk UniversityDirección de correo verificada de dongguk.ac.kr
Lean YuAcademy of Mathematics and Systems Science, CAS; School of Economics and Management, BUCTDirección de correo verificada de amss.ac.cn
tianyu hanNankai UniversityDirección de correo verificada de mail.nankai.edu.cn
Zhi-Ping FanNortheastern UniversityDirección de correo verificada de mail.neu.edu.cn
Haiyan SongProfessor of Tourism, The Hong Kong Polytechnic UniversityDirección de correo verificada de polyu.edu.hk
Feixia Ji (嵇妃霞)University of GranadaDirección de correo verificada de stu.shmtu.edu.cn
Rob LawUniversity of MacauDirección de correo verificada de um.edu.mo
Markus SchuckertUniversity of New HampshireDirección de correo verificada de unh.edu
Xianwei LiuHarbin Institute of TechnologyDirección de correo verificada de hit.edu.cn
Tafazal KumailHubei Normal University, ChinaDirección de correo verificada de hbnu.edu.cn
Muhammad ZahidProfessor/Dean/Principal Bahria Business School, Bahria University, PakistanDirección de correo verificada de bahria.edu.pk
Kazi SohagAssociate Professor, Graduate School of Economics and Management, Ural Federal UniversityDirección de correo verificada de urfu.ru

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Hui Li

Outstanding Professor in Nankai University; Former Professor of Zhejiang Normal University

Dirección de correo verificada de zjnu.edu.cn - Página principal

Tourism Big Data & Artificial Intelligence Digital Nudging for Tourism Economy


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Predicting financial distress and corporate failure: A review from the state-of-the-art definitions, modeling, sampling, and featuring approaches J Sun, H Li, QH Huang, KY He Knowledge-Based Systems 57, 41-56, 2014	544	2014
Imbalanced enterprise credit evaluation with DTE-SBD: Decision tree ensemble based on SMOTE and bagging with differentiated sampling rates J Sun, J Lang, H Fujita, H Li Information Sciences 425, 76-91, 2018	419	2018
Class-imbalanced dynamic financial distress prediction based on Adaboost-SVM ensemble combined with SMOTE and time weighting J Sun, H Li, H Fujita, B Fu, W Ai Information Fusion 54, 128-144, 2020	330	2020
Data mining method for listed companies’ financial distress prediction J Sun, H Li Knowledge-Based Systems 21 (1), 1-5, 2008	272	2008
Predicting business failure using classification and regression tree: An empirical comparison with popular classical statistical methods and top classification mining methods H Li, J Sun, J Wu Expert Systems with Applications 37 (8), 5895-5904, 2010	212	2010
Dynamic financial distress prediction with concept drift based on time weighting combined with Adaboost support vector machine ensemble J Sun, H Fujita, P Chen, H Li Knowledge-Based Systems 120, 4-14, 2017	207	2017
Financial distress prediction using support vector machines: Ensemble vs individual J Sun, H Li Applied Soft Computing, 2012	203	2012
Ranking-order case-based reasoning for financial distress prediction H Li, J Sun Knowledge-Based Systems 21 (8), 868-878, 2008	202	2008
Daily tourism volume forecasting for tourist attractions JW Bi, Y Liu, H Li Annals of Tourism Research 83, 102923, 2020	170	2020
AdaBoost ensemble for financial distress prediction: An empirical comparison with data from Chinese listed companies J Sun, M Jia, H Li Expert systems with applications 38 (8), 9305-9312, 2011	161	2011
Forecasting business failure: The use of nearest-neighbour support vectors and correcting imbalanced samples–Evidence from the Chinese hotel industry H Li, J Sun Tourism Management 33 (3), 622-634, 2012	146	2012
Listed companies’ financial distress prediction based on weighted majority voting combination of multiple classifiers J Sun, H Li Expert Systems with Applications 35 (3), 818-827, 2008	142	2008
Financial distress early warning based on group decision making J Sun, H Li Computers & operations research 36 (3), 885-906, 2009	141	2009
To buy or not to buy? The effect of time scarcity and travel experience on tourists' impulse buying C Li, Y Wang, X Lv, H Li Annals of Tourism Research 86, 103083, 2021	140	2021
Hybridizing principles of TOPSIS with case-based reasoning for business failure prediction H Li, H Adeli, J Sun, JG Han Computers & Operations Research 38 (2), 409-419, 2011	132	2011
Predicting business failure using multiple case-based reasoning combined with support vector machine H Li, J Sun Expert Systems with Applications 36 (6), 10085-10096, 2009	132	2009
Financial distress prediction based on OR-CBR in the principle of k-nearest neighbors H Li, J Sun, BL Sun Expert Systems with Applications 36 (1), 643-659, 2009	131	2009
Gaussian case-based reasoning for business failure prediction with empirical data in China H Li, J Sun Information Sciences 179 (1-2), 89-108, 2009	131	2009
The induced continuous ordered weighted geometric operators and their application in group decision making J Wu, JC Li, H Li, WQ Duan Computers & Industrial Engineering 56 (4), 1545-1552, 2009	128	2009
Tourism demand forecasting with time series imaging: A deep learning model JW Bi, H Li, ZP Fan Annals of Tourism Research 90, 103255, 2021	115	2021

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