| 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 | 543 | 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 | 415 | 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 | 331 | 2020 |
| Data mining method for listed companies’ financial distress prediction J Sun, H Li Knowledge-Based Systems 21 (1), 1-5, 2008 | 270 | 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 | 216 | 2010 |
| Financial distress prediction using support vector machines: Ensemble vs individual J Sun, H Li Applied Soft Computing, 2012 | 206 | 2012 |
| Ranking-order case-based reasoning for financial distress prediction H Li, J Sun Knowledge-Based Systems 21 (8), 868-878, 2008 | 206 | 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 | 204 | 2017 |
| Daily tourism volume forecasting for tourist attractions JW Bi, Y Liu, H Li Annals of Tourism Research 83, 102923, 2020 | 175 | 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 | 162 | 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 |
| 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 | 145 | 2021 |
| 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 | 145 | 2008 |
| Financial distress early warning based on group decision making J Sun, H Li Computers & operations research 36 (3), 885-906, 2009 | 142 | 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 | 136 | 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 | 132 | 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 | 132 | 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 | 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 |
Jie SunProfessor of Zhejiang Normal Universityبريد إلكتروني تم التحقق منه على zjnu.cnSai LiangCollege of Tourism and Service Management, Nankai Universityبريد إلكتروني تم التحقق منه على nankai.edu.cn
Jian-Wu BiNankai Universityبريد إلكتروني تم التحقق منه على nankai.edu.cn
Hamido FujitaIwate Prefectural Universityبريد إلكتروني تم التحقق منه على acm.org
Jian WuProfessor, Shanghai Maritime Universityبريد إلكتروني تم التحقق منه على zjnu.cn
Dongdong WuNankai University, Temple Universityبريد إلكتروني تم التحقق منه على temple.edu
Hojjat AdeliThe Ohio State Universityبريد إلكتروني تم التحقق منه على osu.edu
Yuhong WangJiangnan Universityبريد إلكتروني تم التحقق منه على jiangnan.edu.cn
Young-Chan LeeProfessor of Business Analytics, Dongguk Universityبريد إلكتروني تم التحقق منه على dongguk.ac.kr
Lean YuAcademy of Mathematics and Systems Science, CAS; School of Economics and Management, BUCTبريد إلكتروني تم التحقق منه على amss.ac.cn
Tafazal KumailHubei Normal University, Chinaبريد إلكتروني تم التحقق منه على hbnu.edu.cn
Zhi-Ping FanNortheastern Universityبريد إلكتروني تم التحقق منه على mail.neu.edu.cn
Haiyan SongProfessor of Tourism, The Hong Kong Polytechnic Universityبريد إلكتروني تم التحقق منه على polyu.edu.hk
Rob LawUniversity of Macauبريد إلكتروني تم التحقق منه على um.edu.mo
Markus SchuckertUniversity of New Hampshireبريد إلكتروني تم التحقق منه على unh.edu
Xianwei LiuHarbin Institute of Technologyبريد إلكتروني تم التحقق منه على hit.edu.cn
Diego AndinaUniversidad Politécnica de Madrid (UPM). Full Professor.بريد إلكتروني تم التحقق منه على upm.es
Zhibin LinProfessor in Marketing, Durham Universityبريد إلكتروني تم التحقق منه على durham.ac.uk
Xiang (Robert) LiTemple Universityبريد إلكتروني تم التحقق منه على temple.edu
