Year |
Citation |
Score |
2019 |
Avena-Koenigsberger A, Yan X, Kolchinsky A, van den Heuvel M, Hagmann P, Sporns O. A spectrum of routing strategies for brain networks. Plos Computational Biology. 15: e1006833. PMID 30849087 DOI: 10.1371/Journal.Pcbi.1006833 |
0.573 |
|
2018 |
Faskowitz J, Yan X, Zuo XN, Sporns O. Weighted Stochastic Block Models of the Human Connectome across the Life Span. Scientific Reports. 8: 12997. PMID 30158553 DOI: 10.1038/S41598-018-31202-1 |
0.588 |
|
2018 |
Yan X, Jeub LGS, Flammini A, Radicchi F, Fortunato S. Weight thresholding on complex networks Physical Review E. 98. DOI: 10.1103/Physreve.98.042304 |
0.45 |
|
2017 |
Yan X, Sadler BM, Drost RJ, Yu PL, Lerman K. Graph Filters and the Z-Laplacian Ieee Journal of Selected Topics in Signal Processing. 11: 774-784. DOI: 10.1109/Jstsp.2017.2730040 |
0.551 |
|
2017 |
Merkurjev E, Bertozzi A, Yan X, Lerman K. Modified Cheeger and ratio cut methods using the Ginzburg–Landau functional for classification of high-dimensional data Inverse Problems. 33: 074003. DOI: 10.1088/1361-6420/33/7/074003 |
0.352 |
|
2016 |
Lerman K, Yan X, Wu XZ. The "Majority Illusion" in Social Networks. Plos One. 11: e0147617. PMID 26886112 DOI: 10.1371/Journal.Pone.0147617 |
0.449 |
|
2016 |
Yan X, Teng S, Lerman K, Ghosh R. Capturing the interplay of dynamics and networks through parameterizations of Laplacian operators Peerj Computer Science. 2: e57. DOI: 10.7717/Peerj-Cs.57 |
0.517 |
|
2015 |
Gupta S, Yan X, Lerman K. Structural properties of ego networks Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9021: 55-64. DOI: 10.1007/978-3-319-16268-3_6 |
0.431 |
|
2014 |
Yan X, Shalizi C, Jensen JE, Krzakala F, Moore C, Zdeborová L, Zhang P, Zhu Y. Model selection for degree-corrected block models. Journal of Statistical Mechanics (Online). 2014. PMID 26167197 DOI: 10.1088/1742-5468/2014/05/P05007 |
0.57 |
|
2014 |
Ghosh R, Teng SH, Lerman K, Yan X. The interplay between dynamics and networks: Centrality, communities, and cheeger inequality Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 1406-1415. DOI: 10.1145/2623330.2623738 |
0.495 |
|
2013 |
Zhu Y, Yan X, Moore C. Oriented and degree-generated block models: generating and inferring communities with inhomogeneous degree distributions Journal of Complex Networks. 2: 1-18. DOI: 10.1093/Comnet/Cnt011 |
0.572 |
|
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