Matee Ullah - Concepedia

Author

Matee Ullah

Nanjing University of Science and Technology ORCID

Also Known As

Matee Ullah

Publications

319

Citations

H-Index

Concepts

All Affiliations

Nanjing University of Science and Technology Quzhou University Abdul Wali Khan University Mardan University of Electronic Science and Technology of China Monash University

About

Matee Ullah is an author at Nanjing University of Science and Technology specializing in engineering, computer vision, and machine vision.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	3	3	137
2	Medicine	2	2	122
3	Molecular Biology	2	2	122
4	Biostatistics	1	1	43
5	Cell Biology	1	1	43

Matee Ullah

Publications

314

Citations

H-Index

Page 1

	Year	Citations
DBPPred-PDSD: Machine learning approach for prediction of DNA-binding proteins using Discrete Wavelet Transform and optimized integrated features space Farman Ali, Muhammad Kabir, Muhammad Arif, Chemometrics and Intelligent Laboratory Systems Functional GenomicsEngineeringGene RecognitionDiscrete Wavelet TransformComputational Biology	2018	79
DeepAVP-TPPred: identification of antiviral peptides using transformed image-based localized descriptors and binary tree growth algorithm Matee Ullah, Shahid Akbar, Ali Raza, Bioinformatics	2024	67
DeepAIPs-Pred: Predicting Anti-Inflammatory Peptides Using Local Evolutionary Transformation Images and Structural Embedding-Based Optimal Descriptors with Self-Normalized BiTCNs Shahid Akbar, Matee Ullah, Ali Raza, Journal of Chemical Information and Modeling	2024	56
PScL-HDeep: image-based prediction of protein subcellular location in human tissue using ensemble learning of handcrafted and deep learned features with two-layer feature selection Matee Ullah, Ke Han, Fazal Hadi, Briefings in Bioinformatics EngineeringMachine LearningSignal RecognitionMolecular BiologyFeature Extraction	2021	43
TargetCLP: clathrin proteins prediction combining transformed and evolutionary scale modeling-based multi-view features via weighted feature integration approach Matee Ullah, Shahid Akbar, Ali Raza, Briefings in Bioinformatics	2024	39
A Foreground Extraction Approach Using Convolutional Neural Network with Graph Cut Matee Ullah, Adnan Iltaf, Qiujun Hou, Convolutional Neural NetworkScene AnalysisMachine VisionImage AnalysisMachine Learning	2018	15
PScL-DDCFPred: an ensemble deep learning-based approach for characterizing multiclass subcellular localization of human proteins from bioimage data Matee Ullah, Fazal Hadi, Jiangning Song, Bioinformatics	2022	15

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