A citation-based method for searching scientific literature

Yenching Lin, Srinivasulu Yerukala Sathipati, Shinn-Ying Ho. Front Genet 2021
Times Cited: 3







List of co-cited articles
2 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity


Genome-wide prediction and functional characterization of the genetic basis of autism spectrum disorder.
Arjun Krishnan, Ran Zhang, Victoria Yao, Chandra L Theesfeld, Aaron K Wong, Alicja Tadych, Natalia Volfovsky, Alan Packer, Alex Lash, Olga G Troyanskaya. Nat Neurosci 2016
195
66

Cell Type-Specific Predictive Models Perform Prioritization of Genes and Gene Sets Associated With Autism.
Jinting Guan, Yang Wang, Yiping Lin, Qingyang Yin, Yibo Zhuang, Guoli Ji. Front Genet 2021
4
66

Convolutional neural network-based annotation of bacterial type IV secretion system effectors with enhanced accuracy and reduced false discovery.
Jiajun Hong, Yongchao Luo, Minjie Mou, Jianbo Fu, Yang Zhang, Weiwei Xue, Tian Xie, Lin Tao, Yan Lou, Feng Zhu. Brief Bioinform 2020
63
33

Lack of association between Rh status, Rh immune globulin in pregnancy and autism.
Judith H Miles, T Nicole Takahashi. Am J Med Genet A 2007
21
33

The Diagnosis of Autism Spectrum Disorder Based on the Random Neural Network Cluster.
Xia-An Bi, Yingchao Liu, Qin Jiang, Qing Shu, Qi Sun, Jianhua Dai. Front Hum Neurosci 2018
17
33

4
33

Based on T-spherical fuzzy environment: A combination of FWZIC and FDOSM for prioritising COVID-19 vaccine dose recipients.
M A Alsalem, H A Alsattar, A S Albahri, R T Mohammed, O S Albahri, A A Zaidan, Alhamzah Alnoor, A H Alamoodi, Sarah Qahtan, B B Zaidan,[...]. J Infect Public Health 2021
7
33

Brain-specific functional relationship networks inform autism spectrum disorder gene prediction.
Marlena Duda, Hongjiu Zhang, Hong-Dong Li, Dennis P Wall, Margit Burmeister, Yuanfang Guan. Transl Psychiatry 2018
25
33








Hybrid artificial neural network and structural equation modelling techniques: a survey.
A S Albahri, Alhamzah Alnoor, A A Zaidan, O S Albahri, Hamsa Hameed, B B Zaidan, S S Peh, A B Zain, S B Siraj, A H B Masnan,[...]. Complex Intell Systems 2022
2
50

NOREVA: enhanced normalization and evaluation of time-course and multi-class metabolomic data.
Qingxia Yang, Yunxia Wang, Ying Zhang, Fengcheng Li, Weiqi Xia, Ying Zhou, Yunqing Qiu, Honglin Li, Feng Zhu. Nucleic Acids Res 2020
90
33


Automated Detection of Autism Spectrum Disorder Using a Convolutional Neural Network.
Zeinab Sherkatghanad, Mohammadsadegh Akhondzadeh, Soorena Salari, Mariam Zomorodi-Moghadam, Moloud Abdar, U Rajendra Acharya, Reza Khosrowabadi, Vahid Salari. Front Neurosci 2020
35
33


Applying Artificial Intelligence for Diagnostic Classification of Korean Autism Spectrum Disorder.
Eun Soo Choi, Hee Jeong Yoo, Min Soo Kang, Soon Ae Kim. Psychiatry Investig 2020
1
100

Insights into Autism Spectrum Disorder Genomic Architecture and Biology from 71 Risk Loci.
Stephan J Sanders, Xin He, A Jeremy Willsey, A Gulhan Ercan-Sencicek, Kaitlin E Samocha, A Ercument Cicek, Michael T Murtha, Vanessa H Bal, Somer L Bishop, Shan Dong,[...]. Neuron 2015
755
33

Measuring the service system impact of a novel telediagnostic service program for young children with autism spectrum disorder.
J Alacia Stainbrook, Amy S Weitlauf, A Pablo Juárez, Julie Lounds Taylor, Jeffrey Hine, Neill Broderick, Amy Nicholson, Zachary Warren. Autism 2019
25
33


Molecular signatures database (MSigDB) 3.0.
Arthur Liberzon, Aravind Subramanian, Reid Pinchback, Helga Thorvaldsdóttir, Pablo Tamayo, Jill P Mesirov. Bioinformatics 2011
33


Protein functional annotation of simultaneously improved stability, accuracy and false discovery rate achieved by a sequence-based deep learning.
Jiajun Hong, Yongchao Luo, Yang Zhang, Junbiao Ying, Weiwei Xue, Tian Xie, Lin Tao, Feng Zhu. Brief Bioinform 2020
72
33

Exome sequencing of 457 autism families recruited online provides evidence for autism risk genes.
Pamela Feliciano, Xueya Zhou, Irina Astrovskaya, Tychele N Turner, Tianyun Wang, Leo Brueggeman, Rebecca Barnard, Alexander Hsieh, LeeAnne Green Snyder, Donna M Muzny,[...]. NPJ Genom Med 2019
97
33


Triage in medicine, part I: Concept, history, and types.
Kenneth V Iserson, John C Moskop. Ann Emerg Med 2007
174
33

Forecasting risk gene discovery in autism with machine learning and genome-scale data.
Leo Brueggeman, Tanner Koomar, Jacob J Michaelson. Sci Rep 2020
14
33

Optimization of metabolomic data processing using NOREVA.
Jianbo Fu, Ying Zhang, Yunxia Wang, Hongning Zhang, Jin Liu, Jing Tang, Qingxia Yang, Huaicheng Sun, Wenqi Qiu, Yinghui Ma,[...]. Nat Protoc 2022
58
33

The Use of Artificial Intelligence in Screening and Diagnosis of Autism Spectrum Disorder: A Literature Review.
Da-Yea Song, So Yoon Kim, Guiyoung Bong, Jong Myeong Kim, Hee Jeong Yoo. Soa Chongsonyon Chongsin Uihak 2019
8
33

Inherited and De Novo Genetic Risk for Autism Impacts Shared Networks.
Elizabeth K Ruzzo, Laura Pérez-Cano, Jae-Yoon Jung, Lee-Kai Wang, Dorna Kashef-Haghighi, Chris Hartl, Chanpreet Singh, Jin Xu, Jackson N Hoekstra, Olivia Leventhal,[...]. Cell 2019
168
33

Consistent gene signature of schizophrenia identified by a novel feature selection strategy from comprehensive sets of transcriptomic data.
Qingxia Yang, Bo Li, Jing Tang, Xuejiao Cui, Yunxia Wang, Xiaofeng Li, Jie Hu, Yuzong Chen, Weiwei Xue, Yan Lou,[...]. Brief Bioinform 2020
114
33

Identification of Autistic Risk Candidate Genes and Toxic Chemicals via Multilabel Learning.
Zhi-An Huang, Jia Zhang, Zexuan Zhu, Edmond Q Wu, Kay Chen Tan. IEEE Trans Neural Netw Learn Syst 2021
3
33

A Machine Learning Approach to Predicting Autism Risk Genes: Validation of Known Genes and Discovery of New Candidates.
Ying Lin, Shiva Afshar, Anjali M Rajadhyaksha, James B Potash, Shizhong Han. Front Genet 2020
11
33

Automated ASD detection using hybrid deep lightweight features extracted from EEG signals.
Mehmet Baygin, Sengul Dogan, Turker Tuncer, Prabal Datta Barua, Oliver Faust, N Arunkumar, Enas W Abdulhay, Elizabeth Emma Palmer, U Rajendra Acharya. Comput Biol Med 2021
18
33

Identification of autism spectrum disorder using deep learning and the ABIDE dataset.
Anibal Sólon Heinsfeld, Alexandre Rosa Franco, R Cameron Craddock, Augusto Buchweitz, Felipe Meneguzzi. Neuroimage Clin 2017
203
33



Whole-genome deep-learning analysis identifies contribution of noncoding mutations to autism risk.
Jian Zhou, Christopher Y Park, Chandra L Theesfeld, Aaron K Wong, Yuan Yuan, Claudia Scheckel, John J Fak, Julien Funk, Kevin Yao, Yoko Tajima,[...]. Nat Genet 2019
106
33

Integrated model of de novo and inherited genetic variants yields greater power to identify risk genes.
Xin He, Stephan J Sanders, Li Liu, Silvia De Rubeis, Elaine T Lim, James S Sutcliffe, Gerard D Schellenberg, Richard A Gibbs, Mark J Daly, Joseph D Buxbaum,[...]. PLoS Genet 2013
151
33

Autism Spectrum Disorder Diagnostic System Using HOS Bispectrum with EEG Signals.
The-Hanh Pham, Jahmunah Vicnesh, Joel Koh En Wei, Shu Lih Oh, N Arunkumar, Enas W Abdulhay, Edward J Ciaccio, U Rajendra Acharya. Int J Environ Res Public Health 2020
20
33


Meta-analysis of SHANK Mutations in Autism Spectrum Disorders: a gradient of severity in cognitive impairments.
Claire S Leblond, Caroline Nava, Anne Polge, Julie Gauthier, Guillaume Huguet, Serge Lumbroso, Fabienne Giuliano, Coline Stordeur, Christel Depienne, Kevin Mouzat,[...]. PLoS Genet 2014
355
33

Pathological glutamatergic neurotransmission in Gilles de la Tourette syndrome.
Ahmad Seif Kanaan, Sarah Gerasch, Isabel García-García, Leonie Lampe, André Pampel, Alfred Anwander, Jamie Near, Harald E Möller, Kirsten Müller-Vahl. Brain 2017
41
33

Neurological Diseases With Autism Spectrum Disorder: Role of ASD Risk Genes.
Juan Xiong, Shimeng Chen, Nan Pang, Xiaolu Deng, Lifen Yang, Fang He, Liwen Wu, Chen Chen, Fei Yin, Jing Peng. Front Neurosci 2019
18
33

Brain-derived neurotrophic factor (BDNF) and type 2 diabetes.
K S Krabbe, A R Nielsen, R Krogh-Madsen, P Plomgaard, P Rasmussen, C Erikstrup, C P Fischer, B Lindegaard, A M W Petersen, S Taudorf,[...]. Diabetologia 2007
447
33



Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.