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#	Title	Journal	Year	Citations
1	iFeature: a Python package and web server for features extraction and selection from protein and peptide sequences	Bioinformatics	2018	481
2	iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data	Briefings in Bioinformatics	2020	294
3	iRNA-PseColl: Identifying the Occurrence Sites of Different RNA Modifications by Incorporating Collective Effects of Nucleotides into PseKNC	Molecular Therapy - Nucleic Acids	2017	259
4	iDNA4mC: identifying DNA N4-methylcytosine sites based on nucleotide chemical properties	Bioinformatics	2017	256
5	iDNA6mA-PseKNC: Identifying DNA N6-methyladenosine sites by incorporating nucleotide physicochemical properties into PseKNC	Genomics	2019	234
6	A large-scale whole-genome sequencing analysis reveals highly specific genome editing by both Cas9 and Cpf1 (Cas12a) nucleases in rice	Genome Biology	2018	230
7	iLoc-lncRNA: predict the subcellular location of lncRNAs by incorporating octamer composition into general PseKNC	Bioinformatics	2018	227
8	Switching of the Microglial Activation Phenotype Is a Possible Treatment for Depression Disorder	Frontiers in Cellular Neuroscience	2018	214
9	iRNA-AI: identifying the adenosine to inosine editing sites in RNA sequences	Oncotarget	2017	209
10	Predicting protein structural classes for low-similarity sequences by evaluating different features	Knowledge-Based Systems	2019	194
11	i6mA-Pred: identifying DNA N6-methyladenine sites in the rice genome	Bioinformatics	2019	186
12	Robust Transcriptional Activation in Plants Using Multiplexed CRISPR-Act2.0 and mTALE-Act Systems	Molecular Plant	2018	179
13	pLoc-mPlant: predict subcellular localization of multi-location plant proteins by incorporating the optimal GO information into general PseAAC	Molecular BioSystems	2017	178
14	iRNA-3typeA: Identifying Three Types of Modification at RNA’s Adenosine Sites	Molecular Therapy - Nucleic Acids	2018	173
15	HBPred: a tool to identify growth hormone-binding proteins	International Journal of Biological Sciences	2018	173
16	iTerm-PseKNC: a sequence-based tool for predicting bacterial transcriptional terminators	Bioinformatics	2019	173
17	iEnhancer-EL: identifying enhancers and their strength with ensemble learning approach	Bioinformatics	2018	172
18	Application of CRISPR-Cas12a temperature sensitivity for improved genome editing in rice, maize, and Arabidopsis	BMC Biology	2019	172
19	NLRP3 gene knockout blocks NF-κB and MAPK signaling pathway in CUMS-induced depression mouse model	Behavioural Brain Research	2017	170
20	iOri-Human: identify human origin of replication by incorporating dinucleotide physicochemical properties into pseudo nucleotide composition	Oncotarget	2016	166
21	iRNA(m6A)-PseDNC: Identifying N6-methyladenosine sites using pseudo dinucleotide composition	Analytical Biochemistry	2018	162
22	Improving Plant Genome Editing with High-Fidelity xCas9 and Non-canonical PAM-Targeting Cas9-NG	Molecular Plant	2019	159
23	Plant Prime Editors Enable Precise Gene Editing in Rice Cells	Molecular Plant	2020	148
24	iRSpot-Pse6NC: Identifying recombination spots in Saccharomyces cerevisiae by incorporating hexamer composition into general PseKNC	International Journal of Biological Sciences	2018	145
25	Identification of hormone binding proteins based on machine learning methods	Mathematical Biosciences and Engineering	2019	144
26	PAM-less plant genome editing using a CRISPR–SpRY toolbox	Nature Plants	2021	140
27	pLoc-mVirus: Predict subcellular localization of multi-location virus proteins via incorporating the optimal GO information into general PseAAC	Gene	2017	138
28	iRNA-2OM: A Sequence-Based Predictor for Identifying 2′-O-Methylation Sites inHomo sapiens	Journal of Computational Biology	2018	137
29	Plant Genome Editing Using FnCpf1 and LbCpf1 Nucleases at Redefined and Altered PAM Sites	Molecular Plant	2018	136
30	Multiplex QTL editing of grain-related genes improves yield in elite rice varieties	Plant Cell Reports	2019	136
31	A Brief Survey of Machine Learning Methods in Protein Sub-Golgi Localization	Current Bioinformatics	2019	135
32	Application of Machine Learning in Microbiology	Frontiers in Microbiology	2019	130
33	Clustering and classification methods for single-cell RNA-sequencing data	Briefings in Bioinformatics	2020	125
34	Risk Prediction of Diabetes: Big data mining with fusion of multifarious physical examination indicators	Information Fusion	2021	123
35	Single transcript unit CRISPR 2.0 systems for robust Cas9 and Cas12a mediated plant genome editing	Plant Biotechnology Journal	2019	120
36	Identification of Secretory Proteins inMycobacterium tuberculosisUsing Pseudo Amino Acid Composition	BioMed Research International	2016	118
37	CRISPR–Cas12b enables efficient plant genome engineering	Nature Plants	2020	116
38	MRMD2.0: A Python Tool for Machine Learning with Feature Ranking and Reduction	Current Bioinformatics	2021	107
39	The antidepressant-like effects of pioglitazone in a chronic mild stress mouse model are associated with PPARγ-mediated alteration of microglial activation phenotypes	Journal of Neuroinflammation	2016	103
40	A Random Forest Sub-Golgi Protein Classifier Optimized via Dipeptide and Amino Acid Composition Features	Frontiers in Bioengineering and Biotechnology	2019	100
41	Design powerful predictor for mRNA subcellular location prediction inHomo sapiens	Briefings in Bioinformatics	2021	100
42	Large-scale comparative assessment of computational predictors for lysine post-translational modification sites	Briefings in Bioinformatics	2019	99
43	Sequence-based predictive modeling to identify cancerlectins	Oncotarget	2017	95
44	Priming of microglia with IFN‐γ impairs adult hippocampal neurogenesis and leads to depression‐like behaviors and cognitive defects	Glia	2020	94
45	iDNA-MS: An Integrated Computational Tool for Detecting DNA Modification Sites in Multiple Genomes	IScience	2020	93
46	Salvianolic acid B promotes microglial M2-polarization and rescues neurogenesis in stress-exposed mice	Brain, Behavior, and Immunity	2017	93
47	pLoc_bal-mAnimal: predict subcellular localization of animal proteins by balancing training dataset and PseAAC	Bioinformatics	2019	89
48	iPPI-PseAAC(CGR): Identify protein-protein interactions by incorporating chaos game representation into PseAAC	Journal of Theoretical Biology	2019	88
49	Deep-Kcr: accurate detection of lysine crotonylation sites using deep learning method	Briefings in Bioinformatics	2021	86
50	iRNA-m7G: Identifying N7-methylguanosine Sites by Fusing Multiple Features	Molecular Therapy - Nucleic Acids	2019	85

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