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h5 指数:29
h5 中位数:50

h5 指数是指在过去整整 5 年中所发表文章的 h 指数。h 指在 2018-2022 年间发表的 h 篇文章每篇至少都被引用过 h 次的最大值。隐藏

出版物的 h5 中位数，是指出版物的 h5 指数所涵盖的所有文章获得的引用次数的中位值。隐藏

#18 Bioinformatics & Computational Biology

标题/作者	引用次数	年份
MRMD2. 0: A Python Tool for Machine Learning with Feature Ranking and Reduction S He, F Guo, Q Zou Current Bioinformatics 15 (10), 1213-1221	148	2020
A Review on the Recent Developments of Sequence-based Protein Feature Extraction Methods J Zhang, B Liu Current Bioinformatics 14 (3), 190-199	132	2019
A Brief Survey of Machine Learning Methods in Protein Sub-Golgi Localization W Yang, XJ Zhu, J Huang, H Ding, H Lin Current Bioinformatics 14 (3), 234-240	120	2019
Predicting Thermophilic Proteins by Machine Learning XF Wang, P Gao, YF Liu, HF Li, F Lu Current Bioinformatics 15 (5), 493-502	116	2020
Cancer Diagnosis Through IsomiR Expression with Machine Learning Method Z Liao, D Li, X Wang, L Li, Q Zou Current Bioinformatics 13 (1), 57-63	111	2018
MK-FSVM-SVDD: A Multiple Kernel-based Fuzzy SVM Model for Predicting DNA-binding Proteins via Support Vector Data Description Y Zou, H Wu, X Guo, L Peng, Y Ding, J Tang, F Guo Current Bioinformatics 16 (2), 274-283	108	2021
The Advances and Challenges of Deep Learning Application in Biological Big Data Processing L Peng, M Peng, B Liao, G Huang, W Li, D Xie Current Bioinformatics 13 (4), 352-359	98	2018
A Review of DNA-binding Proteins Prediction Methods K Qu, L Wei, Q Zou Current Bioinformatics 14 (3), 246-254	80	2019
Predicting Drug Side Effects with Compact Integration of Heterogeneous Networks X Zhao, L Chen, ZH Guo, T Liu Current Bioinformatics 14 (8), 709-720	74	2019
Morphological Segmentation Analysis and Texture-based Support Vector Machines Classification on Mice Liver Fibrosis Microscopic Images Y Wang, F Shi, L Cao, N Dey, Q Wu, AS Ashour, RS Sherratt, ... Current Bioinformatics 14 (4), 282-294	62	2019
Analysis and Prediction of Nitrated Tyrosine Sites with the mRMR Method and Support Vector Machine Algorithm SP Wang, Q Zhang, J Lu, YD Cai Current Bioinformatics 13 (1), 3-13	60	2018
Relevance of Molecular Docking Studies in Drug Designing R Jakhar, M Dangi, A Khichi, AK Chhillar Current Bioinformatics 15 (4), 270-278	53	2020
Drug and Nondrug Classification Based on Deep Learning with Various Feature Selection Strategies L Yu, X Sun, S Tian, X Shi, Y Yan Current Bioinformatics 13 (3), 253-259	51	2018
Nextpresso: Next Generation Sequencing Expression Analysis Pipeline O Graña, M Rubio-Camarillo, F Fdez-Riverola, DG Pisano, D Glez-Peña Current Bioinformatics 13 (6), 583-591	51	2018
Sequence-based Identification of Arginine Amidation Sites in Proteins Using Deep Representations of Proteins and PseAAC S Naseer, W Hussain, YD Khan, N Rasool Current Bioinformatics 15 (8), 937-948	50	2020
NPalmitoylDeep-PseAAC: A Predictor of N-Palmitoylation Sites in Proteins Using Deep Representations of Proteins and PseAAC via Modified 5-Steps Rule S Naseer, W Hussain, YD Khan, N Rasool Current Bioinformatics 16 (2), 294-305	49	2021
Identification of Drug-Disease Associations by Using Multiple Drug and Disease Networks Y Yang, L Chen Current Bioinformatics 17 (1), 48-59	46	2022
Distance-based Support Vector Machine to Predict DNA N6-methyladenine Modification H Zhang, Q Zou, Y Ju, C Song, D Chen Current Bioinformatics 17 (5), 473-482	45	2022
Identification of Lysine Carboxylation Sites in Proteins by Integrating Statistical Moments and Position Relative Features via General PseAAC S Amanat, A Ashraf, W Hussain, N Rasool, YD Khan Current Bioinformatics 15 (5), 396-407	42	2020
Review of the Applications of Deep Learning in Bioinformatics Y Zhang, J Yan, S Chen, M Gong, D Gao, M Zhu, W Gan Current Bioinformatics 15 (8), 898-911	41	2020

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