Hui Li

Cited by

	All	Since 2019
Citations	6357	3884
h-index	41	31
i10-index	87	75

860

430

215

645

200920102011201220132014201520162017201820192020202120222023202476 112 272 259 222 232 303 293 271 359 433 517 557 747 845 768

Public access

View all

20 articles

31 articles

available

not available

Based on funding mandates

Co-authors

Jie SunProfessor of Zhejiang Normal UniversityVerified email at zjnu.cn
Sai LiangCollege of Tourism and Service Management, Nankai UniversityVerified email at nankai.edu.cn
Jian-Wu BiNankai UniversityVerified email at nankai.edu.cn
Hamido FujitaIwate Prefectural UniversityVerified email at acm.org
Jian WuProfessor, Shanghai Maritime UniversityVerified email at zjnu.cn
Dongdong WuNankai University, Temple University (Visiting scholar)Verified email at temple.edu
Hojjat AdeliThe Ohio State UniversityVerified email at osu.edu
Yuhong WangJiangnan UniversityVerified email at jiangnan.edu.cn
Young-Chan LeeProfessor of Business Analytics, Dongguk UniversityVerified email at dongguk.ac.kr
Lean YuAcademy of Mathematics and Systems Science, CAS; School of Economics and Management, BUCTVerified email at amss.ac.cn
tianyu hanNankai UniversityVerified email at mail.nankai.edu.cn
Zhi-Ping FanNortheastern UniversityVerified email at mail.neu.edu.cn
Haiyan SongProfessor of Tourism, The Hong Kong Polytechnic UniversityVerified email at polyu.edu.hk
Rob LawUniversity of MacauVerified email at um.edu.mo
Markus SchuckertUniversity of New HampshireVerified email at unh.edu
Xianwei LiuHarbin Institute of TechnologyVerified email at hit.edu.cn
Tafazal KumailCollege of Tourism and Service Management, Nankai University, Tianjin, ChinaVerified email at nankai.edu.cn
Muhammad ZahidProfessor/Dean/Principal Bahria Business School, Bahria University, PakistanVerified email at bahria.edu.pk
Kazi SohagAssociate Professor, Graduate School of Economics and Management, Ural Federal UniversityVerified email at urfu.ru
Dr. Wajahat AliCollege of Business and Public Management, Wenzhou-Kean University, ChinaVerified email at kean.edu

Hui Li

BQA Professor of Nankai University. Former Professor of Zhejiang Normal University

Verified email at zjnu.edu.cn - Homepage

Tourism Big Data & Artificial Intelligence Digital Nudging for Tourism Economy


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	515	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	402	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	306	2020
Data mining method for listed companies’ financial distress prediction J Sun, H Li Knowledge-Based Systems 21 (1), 1-5, 2008	267	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	210	2010
Ranking-order case-based reasoning for financial distress prediction H Li, J Sun Knowledge-Based Systems 21 (8), 868-878, 2008	200	2008
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	198	2017
Financial distress prediction using support vector machines: Ensemble vs individual J Sun, H Li Applied Soft Computing, 2012	196	2012
Daily tourism volume forecasting for tourist attractions JW Bi, Y Liu, H Li Annals of Tourism Research 83, 102923, 2020	160	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	154	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	140	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	140	2008
Financial distress early warning based on group decision making J Sun, H Li Computers & operations research 36 (3), 885-906, 2009	138	2009
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
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	130	2009
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	129	2011
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	128	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	127	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	121	2021
Tourism demand forecasting with time series imaging: A deep learning model JW Bi, H Li, ZP Fan Annals of Tourism Research 90, 103255, 2021	101	2021

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors