X. Chen
Molecular Biology · Cell Research · 2000–2020
A researcher in the Science corpus: 42 papers; trusts 100 researchers and is trusted by 42 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 207 citations into it; #2,753 of 17,773 by trust here, #1,066 by citations
- Cancer Research — 93 citations into it
- Artificial Intelligence — 57 citations into it; #22,947 of 35,345 by trust here, #12,761 by citations
- Statistics and Probability — 43 citations into it; #11,822 of 12,932 by trust here, #3,893 by citations
- Materials Chemistry — 41 citations into it
- Electrical and Electronic Engineering — 40 citations into it; #8,129 of 16,539 by trust here, #10,998 by citations
- Genetics — 34 citations into it
- Immunology — 33 citations into it
Whom X. Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Robert Tibshirani
- Thomas Hofmann
- Leo Breiman
- Stewart A. Silling
- Tom Fawcett
- Jerome H. Friedman
- Trevor J. Hastie
- Yoshua Bengio
- Tong Zhang
- Geoffrey E. Hinton
Who trusts X. Chen overall
- Zibin Zheng
- Kabe Moen
- Qingying Xue
- Stewart A. Silling
- Sarah J. MacEachern
- Despoina Makariou
- R. Kaufman
- Steffen Rendle
- Bryan L. Roth
- C. Hetz
Papers from X. Chen's perspective
Ordered by how strongly the researchers X. Chen trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization (2010) — 731 citations
- Evaluating computational models of explanation using human judgments (2013) — 30 citations
- On Bayes Risk Lower Bounds (2014) — 51 citations
- The Oct4 and Nanog transcription network regulates pluripotency in mouse embryonic stem cells (2006) — 2,568 citations
- Integration of external signaling pathways with the core transcriptional network in embryonic stem cells. (2008) — 2,639 citations
- ER stress regulation of ATF6 localization by dissociation of BiP/GRP78 binding and unmasking of Golgi localization signals. (2002) — 1,486 citations
- Reciprocal Transcriptional Regulation of Pou5f1 and Sox2 via the Oct4/Sox2 Complex in Embryonic Stem Cells (2005) — 734 citations
- ER stress induces cleavage of membrane-bound ATF6 by the same proteases that process SREBPs. (2000) — 1,882 citations
- Secreted microRNAs: a new form of intercellular communication. (2012) — 751 citations
- Random Forests for Genomic Data Analysis (2012) — 867 citations
- Continuous and discontinuous finite element methods for a peridynamics model of mechanics (2011) — 255 citations
- Photovoltaic-thermoelectric hybrid systems: A general optimization methodology (2008) — 168 citations
- Mitochondrial Aβ: a potential focal point for neuronal metabolic dysfunction in Alzheimer's disease (2005) — 680 citations
- The cerebrospinal fluid provides a proliferative niche for neural progenitor cells (2011) — 613 citations
- Characterization of microRNAs in serum: a novel class of biomarkers for diagnosis of cancer and other diseases (2008) — 4,599 citations
- Properties of school Chinese: implications for learning to read. (2003) — 598 citations
- Group Sparse Additive Models (2012) — 43 citations
- The carbon-constrained EOQ (2013) — 498 citations
- Serum microRNA signatures identified in a genome-wide serum microRNA expression profiling predict survival of non-small-cell lung cancer. (2010) — 809 citations
- Prevalence and socio-demographic correlates of psychological health problems in Chinese adolescents during the outbreak of COVID-19 (2020) — 1,213 citations