| 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 | 762 | 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 | 637 | 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 | 513 | 2018 |
| 25 years at knowledge-based systems: a bibliometric analysis MJ Cobo, MÁ Martínez, M Gutiérrez-Salcedo, H Fujita, E Herrera-Viedma Knowledge-based systems 80, 3-13, 2015 | 450 | 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 | 422 | 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 | 391 | 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 | 377 | 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 | 323 | 2017 |
| 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 | 321 | 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 | 317 | 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 | 308 | 2020 |
| 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 | 292 | 2016 |
| 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 | 287 | 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 | 281 | 2017 |
| 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 | 279 | 2018 |
| 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 | 248 | 2018 |
| 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 | 240 | 2018 |
| A hybrid approach to the sentiment analysis problem at the sentence level O Appel, F Chiclana, J Carter, H Fujita Knowledge-Based Systems 108, 110-124, 2016 | 239 | 2016 |
| 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 | 234 | 2019 |
| Automated segmentation of exudates, haemorrhages, microaneurysms using single convolutional neural network JH Tan, H Fujita, S Sivaprasad, SV Bhandary, AK Rao, KC Chua, ... Information sciences 420, 66-76, 2017 | 233 | 2017 |
