Wen Zhang

Artificial Intelligence · Bioinform. · 2017–2020

A researcher in the Science corpus: 4 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it
• Graph Learning — 19 citations into it
• Statistical and Nonlinear Physics — 16 citations into it

Whom Wen Zhang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Linyuan Lu
2. Robi Polikar
3. Feixiong Cheng
4. Yehuda Koren
5. Weiping Liu
6. Ping Zhang
7. Tao Zhou
8. Jesús Bobadilla
9. Robert M. Bell
10. Zhongming Zhao

Who trusts Wen Zhang overall

1. Marinka Zitnik

Papers from Wen Zhang's perspective

Ordered by how strongly the researchers Wen Zhang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
2. Scikit-learn: Machine Learning in Python
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. DeepWalk: online learning of social representations
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Ensemble based systems in decision making
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Predicting potential drug-drug interactions by integrating chemical, biological, phenotypic and network data (2017) — 315 citations
• Graph embedding on biomedical networks: methods, applications and evaluations (2019) — 370 citations
• A multimodal deep learning framework for predicting drug-drug interaction events (2020) — 393 citations
• Predicting drug-disease associations through layer attention graph convolutional network (2020) — 320 citations