| Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals UR Acharya, H Fujita, SL Oh, Y Hagiwara, JH Tan, M Adam Information Sciences 415, 190-198, 2017 | 970 | 2017 |
| Automated detection of arrhythmias using different intervals of tachycardia ECG segments with convolutional neural network UR Acharya, H Fujita, OS Lih, Y Hagiwara, JH Tan, M Adam Information sciences 405, 81-90, 2017 | 787 | 2017 |
| An efficient binary salp swarm algorithm with crossover scheme for feature selection problems H Faris, MM Mafarja, AA Heidari, I Aljarah, AZ Ala’m, S Mirjalili, H Fujita Knowledge-Based Systems 154, 43-67, 2018 | 631 | 2018 |
| 25 years at knowledge-based systems: a bibliometric analysis MJ Cobo, MA Martínez, M Gutiérrez-Salcedo, H Fujita, E Herrera-Viedma Knowledge-based systems 80, 3-13, 2015 | 576 | 2015 |
| Application of entropies for automated diagnosis of epilepsy using EEG signals: A review UR Acharya, H Fujita, VK Sudarshan, S Bhat, JEW Koh Knowledge-based systems 88, 85-96, 2015 | 519 | 2015 |
| Consensus reaching in social network group decision making: Research paradigms and challenges Y Dong, Q Zha, H Zhang, G Kou, H Fujita, F Chiclana, E Herrera-Viedma Knowledge-Based Systems 162, 3-13, 2018 | 498 | 2018 |
| Deep convolution neural network for accurate diagnosis of glaucoma using digital fundus images U Raghavendra, H Fujita, SV Bhandary, A Gudigar, JH Tan, UR Acharya Information Sciences 441, 41-49, 2018 | 481 | 2018 |
| Deep learning fault diagnosis method based on global optimization GAN for unbalanced data F Zhou, S Yang, H Fujita, D Chen, C Wen Knowledge-Based Systems 187, 104837, 2020 | 470 | 2020 |
| A visual interaction consensus model for social network group decision making with trust propagation J Wu, F Chiclana, H Fujita, E Herrera-Viedma Knowledge-Based Systems 122, 39-50, 2017 | 418 | 2017 |
| 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 |
| Automated detection of coronary artery disease using different durations of ECG segments with convolutional neural network UR Acharya, H Fujita, OS Lih, M Adam, JH Tan, CK Chua Knowledge-Based Systems 132, 62-71, 2017 | 372 | 2017 |
| Emergency decision making for natural disasters: An overview L Zhou, X Wu, Z Xu, H Fujita International journal of disaster risk reduction 27, 567-576, 2018 | 366 | 2018 |
| Towards felicitous decision making: An overview on challenges and trends of Big Data H Wang, Z Xu, H Fujita, S Liu Information Sciences 367, 747-765, 2016 | 355 | 2016 |
| A minimum adjustment cost feedback mechanism based consensus model for group decision making under social network with distributed linguistic trust J Wu, L Dai, F Chiclana, H Fujita, E Herrera-Viedma Information Fusion 41, 232-242, 2018 | 344 | 2018 |
| Fuzzy group decision making with incomplete information guided by social influence N Capuano, F Chiclana, H Fujita, E Herrera-Viedma, V Loia IEEE Transactions on Fuzzy Systems 26 (3), 1704-1718, 2017 | 330 | 2017 |
| Deep convolutional neural network for the automated diagnosis of congestive heart failure using ECG signals UR Acharya, H Fujita, SL Oh, Y Hagiwara, JH Tan, M Adam, RS Tan Applied Intelligence 49, 16-27, 2019 | 317 | 2019 |
| A study of graph-based system for multi-view clustering H Wang, Y Yang, B Liu, H Fujita Knowledge-Based Systems 163, 1009-1019, 2019 | 310 | 2019 |
| Automated detection of atrial fibrillation using long short-term memory network with RR interval signals O Faust, A Shenfield, M Kareem, TR San, H Fujita, UR Acharya Computers in biology and medicine 102, 327-335, 2018 | 309 | 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 |
| Automated identification of shockable and non-shockable life-threatening ventricular arrhythmias using convolutional neural network UR Acharya, H Fujita, SL Oh, U Raghavendra, JH Tan, M Adam, ... Future Generation Computer Systems 79, 952-959, 2018 | 306 | 2018 |
Rajendra AcharyaProfessor of Artificial Intelligence and Computing, University of Southern Queensland, AustraliaVerified email at usq.edu.au
