Jun Wang

Computer Networks and Communications · IEEE Transactions on Neural Networks and Learning Systems · 2000–2015

A researcher in the Science corpus: 10 papers; trusts 16 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 18 citations into it; #1,726 of 9,886 by trust here, #2,927 by citations
• Artificial Intelligence — 15 citations into it; #9,766 of 35,345 by trust here, #14,181 by citations
• Statistical and Nonlinear Physics — 9 citations into it; #4,934 of 10,127 by trust here, #5,403 by citations
• Electrical and Electronic Engineering — 6 citations into it; #6,122 of 16,539 by trust here, #10,714 by citations

Whom Jun Wang trusts overall

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

1. Jinde Cao
2. Tianping Chen
3. Magdi Sadek Mahmoud
4. Bahman Gharesifard
5. Robert Tibshirani
6. Herbert Jaeger
7. John J. Hopfield
8. Jong-Shi Pang
9. Bart Kosko
10. Dimitri P. Bertsekas

Who trusts Jun Wang overall

1. Zhouhua Peng
2. Muhammad Aslam Noor
3. Peng Yi
4. Huaguang Zhang
5. Mauro Forti
6. Jun Wang
7. Yiguang Hong
8. Yong He
9. Hao Shen
10. Jinde Cao

Papers from Jun Wang's perspective

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

1. Global exponential stability of delayed Hopfield neural networks (Neural Networks)
2. Regression Shrinkage and Selection via the Lasso
3. Constrained Consensus and Optimization in Multi-Agent Networks
4. Parallel and distributed computation
5. Exponential stability and periodic oscillatory solution in BAM networks with delays (IEEE Trans. Neural Networks)
6. Global stability conditions for delayed CNNs
7. The''echo state''approach to analysing and training recurrent neural networks
8. Distributed Continuous-Time Convex Optimization on Weight-Balanced Digraphs (IEEE Transactions on Automatic Control)
9. Sparse Bayesian Learning and the Relevan e Ve tor Ma hine
10. Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication

Their papers

• On the Stability of Globally Projected Dynamical Systems (2000) — 212 citations
• Global asymptotic stability of a general class of recurrent neural networks with time-varying delays (2003) — 566 citations
• Global Stability of Complex-Valued Recurrent Neural Networks With Time-Delays (2012) — 351 citations
• A Second-Order Multi-Agent Network for Bound-Constrained Distributed Optimization (2015) — 344 citations
• Chaotic Time Series Prediction Based on a Novel Robust Echo State Network (2012) — 323 citations
• Global asymptotic and robust stability of recurrent neural networks with time delays (2005) — 505 citations
• Global exponential stability and periodicity of recurrent neural networks with time delays (2005) — 312 citations
• Global exponential stability of a general class of recurrent neural networks with time-varying delays (2003) — 323 citations
• A recurrent neural network for solving Sylvester equation with time-varying coefficients (2002) — 533 citations
• A projection neural network and its application to constrained optimization problems (2002) — 337 citations