| Fundamental data compression IM Pu Butterworth-Heinemann, 2005 | 286 | 2005 |
| Blocking expanding ring search algorithm for efficient energy consumption in mobile ad hoc networks I Park, J Kim, I Pu WONS 2006: third annual conference on wireless on-demand network systems and …, 2006 | 89 | 2006 |
| Correction of high‐order eddy current induced geometric distortion in diffusion‐weighted echo‐planar images Y Shen, DJ Larkman, S Counsell, IM Pu, D Edwards, JV Hajnal Magnetic Resonance in Medicine: An Official Journal of the International …, 2004 | 65 | 2004 |
| Energy efficient expanding ring search I Park, I Pu First Asia International Conference on Modelling & Simulation (AMS'07), 198-199, 2007 | 49 | 2007 |
| Enhanced blocking expanding ring search in mobile ad hoc networks IM Pu, Y Shen 2009 3rd International Conference on New Technologies, Mobility and Security …, 2009 | 44 | 2009 |
| Improving time-efficiency in blocking expanding ring search for mobile ad hoc networks IM Pu, D Stamate, Y Shen Journal of Discrete Algorithms 24, 59-67, 2014 | 22 | 2014 |
| Quantification of venous vessel size in human brain in response to hypercapnia and hyperoxia using magnetic resonance imaging Y Shen, IM Pu, T Ahearn, M Clemence, C Schwarzbauer Magnetic resonance in medicine 69 (6), 1541-1552, 2013 | 21 | 2013 |
| Analytical studies of energy–time efficiency of blocking expanding ring search IM Pu, Y Shen Mathematics in Computer Science 3, 443-456, 2010 | 15 | 2010 |
| A machine learning approach for predicting deterioration in alzheimer’s disease H Musto, D Stamate, I Pu, D Stahl 2021 20th IEEE international conference on machine learning and applications …, 2021 | 12 | 2021 |
| Energy-time efficiency of two routing strategies with chase packets in expanding ring search IM Pu, J Kim, Y Shen 2010 17th International Conference on Telecommunications, 742-747, 2010 | 10 | 2010 |
| Predicting Alzheimer’s Disease Diagnosis Risk Over Time with Survival Machine Learning on the ADNI Cohort H Musto, D Stamate, I Pu, D Stahl International Conference on Computational Collective Intelligence, 700-712, 2023 | 8 | 2023 |
| Gray matter nulled and vascular space occupancy dependent fMRI response to visual stimulation during hypoxic hypoxia Y Shen, YCL Ho, R Vidyasagar, G Balanos, X Golay, IM Pu, ... NeuroImage 59 (4), 3450-3456, 2012 | 8 | 2012 |
| Measuring energy-time efficiency of protocol performance in Mobile Ad Hoc Networks I Pu, Y Shen, J Kim Ad-hoc, Mobile and Wireless Networks: 7th International Conference, ADHOC …, 2008 | 8 | 2008 |
| A framework for chase strategies in recent energy or time efficient route discovery protocols for MANETs IM Pu, Y Shen 2011 IEEE International Symposium on a World of Wireless, Mobile and …, 2011 | 6 | 2011 |
| RNC Algorithms for the Uniform Generation of Combinatorial Structures. M Zito, I Pu, M Amos, A Gibbons SODA, 429-437, 1996 | 6 | 1996 |
| A two-step optimised BERT-based NLP algorithm for extracting sentiment from financial news R Olaniyan, D Stamate, I Pu Artificial Intelligence Applications and Innovations: 17th IFIP WG 12.5 …, 2021 | 5 | 2021 |
| Comparing placentas from normal and abnormal pregnancies A Heazell, SL Cotter, L Gallimore, D Greenhalgh, S Kennedy, V Klika, ... | 5 | 2010 |
| Creating ensembles of generative adversarial network discriminators for one-class classification M Ermaliuc, D Stamate, GD Magoulas, I Pu International conference on engineering applications of neural networks, 13-23, 2021 | 4 | 2021 |
| Audio compression IM Pu Fundamental Data Compression, 171-188, 2005 | 3 | 2005 |
| Predicting S&P 500 based on its constituents and their social media derived sentiment R Olaniyan, D Stamate, I Pu, A Zamyatin, A Vashkel, F Marechal Computational Collective Intelligence: 11th International Conference, ICCCI …, 2019 | 2 | 2019 |
