Vasile Palade

9.7k citations

225 papers · 5.8k indexed · 2 hit papers · h-index 34

Impact in

Artificial Intelligence top 0.2%
- Imbalanced Data Classification Techniques
- Metaheuristic Optimization Algorithms Research
- Anomaly Detection Techniques and Applications
- Machine Learning and Data Classification
- Text and Document Classification Technologies
Computer Vision and Pattern Recognition top 1%
- Face and Expression Recognition

Papers in ⓘ

Artificial Intelligence 104
- Neural Networks and Applications 23
- Metaheuristic Optimization Algorithms Research 21
- Evolutionary Algorithms and Applications 16
- Fuzzy Logic and Control Systems 15
- Topic Modeling 13
Computer Vision and Pattern Recognition 47
- Face and Expression Recognition 13

Co-authors: Rukshan Batuwita (7 shared papers)Jun Sun (26 shared papers)Francisco Herrera (1 shared paper)Victoria López (1 shared paper)Alberto Fernández (1 shared paper)Salvador García (1 shared paper)Wei Fang (10 shared papers)Xiao‐Jun Wu (16 shared papers)
Journals: Neural Computing and Applications (9 papers)Information Sciences (6 papers)IEEE Access (6 papers)IEEE Transactions on Industrial Informatics (5 papers)Sensors (5 papers)
Partner nations: United Kingdom China Canada

In The Last Decade

Vasile Palade

215 papers receiving 5.5k citations

Hit Papers

align trajectories log scale

An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics 2013 · 1.1k citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2013 Information Sciences
2010 IEEE Transactions on Fuzzy Systems

Peers

Countries citing papers authored by Vasile Palade

Since Specialization

Citations

This map shows the geographic impact of Vasile Palade's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Vasile Palade with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vasile Palade more than expected).

Fields of papers citing papers by Vasile Palade

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vasile Palade. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Vasile Palade. The network helps show where Vasile Palade may publish in the future.

Co-authors

The 25 scholars most cited alongside Vasile Palade, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vasile Palade Line = papers co-authored together Vasile Palade links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 225 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics Information Sciences ·Victoria López, Alberto Fernández, Salvador García, Vasile Palade, Francisco Herrera Hit paper breakdown →	2013	1133
2	FSVM-CIL: Fuzzy Support Vector Machines for Class Imbalance Learning IEEE Transactions on Fuzzy Systems ·Rukshan Batuwita, Vasile Palade Hit paper breakdown →	2010	317
3	Quantum-Behaved Particle Swarm Optimization: Analysis of Individual Particle Behavior and Parameter Selection Evolutionary Computation ·Jun Sun, Wei Fang, Xiao‐Jun Wu, Vasile Palade, Wenbo Xu	2011	299
4	microPred: effective classification of pre-miRNAs for human miRNA gene prediction Bioinformatics ·Rukshan Batuwita, Vasile Palade	2009	186
5	Convergence analysis and improvements of quantum-behaved particle swarm optimization Information Sciences ·Jun Sun, Xiaojun Wu, Vasile Palade, Wei Fang, Choi-Hong Lai, Wenbo Xu	2012	163
6	An Effective Method of Weld Defect Detection and Classification Based on Machine Vision IEEE Transactions on Industrial Informatics ·Jun Sun, Chao Li, Xiao‐Jun Wu, Vasile Palade, Wei Fang	2019	162
7	Quantum-behaved particle swarm optimization with Gaussian distributed local attractor point Applied Mathematics and Computation ·Jun Sun, Wei Fang, Vasile Palade, Xiao‐Jun Wu, Wenbo Xu	2011	159
8	Solving the Power Economic Dispatch Problem With Generator Constraints by Random Drift Particle Swarm Optimization IEEE Transactions on Industrial Informatics ·Jun Sun, Vasile Palade, Xiao‐Jun Wu, Wei Fang, Zhenyu Wang	2013	148
9	Interactive machine learning: experimental evidence for the human in the algorithmic loop Applied Intelligence ·Andreas Holzinger, Markus Plass, Michael Kickmeier-Rust, Katharina Holzinger, Gloria Cerasela Crişan, Camelia-M. Pintea, Vasile Palade	2018	146
10	Multi-Classifier Systems: Review and a roadmap for developers International Journal of Hybrid Intelligent Systems ·Romesh Ranawana, Vasile Palade	2006	126
11	Efficient activity recognition using lightweight CNN and DS-GRU network for surveillance applications Applied Soft Computing ·Amin Ullah, Khan Muhammad, Weiping Ding, Vasile Palade, Ijaz Ul Haq, Sung Wook Baik	2021	119
12	Edge Intelligence-Assisted Smoke Detection in Foggy Surveillance Environments IEEE Transactions on Industrial Informatics ·Khan Muhammad, Salman Khan, Vasile Palade, Irfan Mehmood, Victor Hugo C. de Albuquerque	2019	104
13	Efficient resampling methods for training support vector machines with imbalanced datasets Rukshan Batuwita, Vasile Palade	2010	90
14	Automatic screening and classification of diabetic retinopathy and maculopathy using fuzzy image processing Brain Informatics ·Sarni Suhaila Rahim, Vasile Palade, James Shuttleworth, Chrisina Jayne	2016	86
15	Brain Tumor Classification Using a Combination of Variational Autoencoders and Generative Adversarial Networks Biomedicines ·Bilal Ahmad, Jun Sun, Qi You, Vasile Palade, Zhongjie Mao	2022	84
16	Deep neural networks in the cloud: Review, applications, challenges and research directions Neurocomputing ·Kit Yan Chan, Bilal Abu-Salih, Raneem Qaddoura, Ala’ M. Al-Zoubi, Vasile Palade, Duc-Son Pham, Javier Del Ser, Khan Muhammad	2023	78
17	Model-based fault detection and isolation of a steam generator using neuro-fuzzy networks Neurocomputing ·Roozbeh Razavi‐Far, Hadi Davilu, Vasile Palade, Caro Lucas	2009	76
18	Neuro-Fuzzy Ensemble Approach for Microarray Cancer Gene Expression Data Analysis Zhenyu Wang, Vasile Palade, Yong Xu	2006	68
19	DeepReS: A Deep Learning-Based Video Summarization Strategy for Resource-Constrained Industrial Surveillance Scenarios IEEE Transactions on Industrial Informatics ·Khan Muhammad, Tanveer Hussain, Javier Del Ser, Vasile Palade, Victor Hugo C. de Albuquerque	2019	64
20	A hybrid deep learning neural approach for emotion recognition from facial expressions for socially assistive robots Neural Computing and Applications ·Ariel Ruiz-Garcia, Mark Elshaw, Abdulrahman Altahhan, Vasile Palade	2018	60

About Vasile Palade

Vasile Palade is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Molecular Biology and Computational Theory and Mathematics, having authored 225 papers that have together received 5.8k indexed citations. Recurring topics across this work include Neural Networks and Applications (23 papers), Metaheuristic Optimization Algorithms Research (21 papers), Evolutionary Algorithms and Applications (16 papers), Fuzzy Logic and Control Systems (15 papers), Fault Detection and Control Systems (14 papers), Face and Expression Recognition (13 papers), Topic Modeling (13 papers) and Remote-Sensing Image Classification (10 papers). The work is most often cited by research in Artificial Intelligence (2.8k citations), Computer Vision and Pattern Recognition (1.1k citations), Health Information Management (204 citations), Health Informatics (43 citations) and Control and Systems Engineering (680 citations). Vasile Palade has collaborated with scholars based in United Kingdom, China and Canada. Frequent co-authors include Rukshan Batuwita, Jun Sun, Francisco Herrera, Victoria López, Alberto Fernández, Salvador García, Wei Fang, Xiao‐Jun Wu, Wenbo Xu and Romesh Ranawana. Their work appears in journals such as Neural Computing and Applications, Information Sciences, IEEE Access, IEEE Transactions on Industrial Informatics and Sensors.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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