Mo Wang

Artificial Intelligence

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 5 citations into it
• Computational Theory and Mathematics — 5 citations into it

Whom Mo Wang trusts overall

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

1. Kalyanmoy Deb

Who trusts Mo Wang overall

1. Karl J. Friston
2. Tor D. Wager
3. W. D. Penny
4. Olaf Sporns
5. Bruce Fischl
6. Klaas E. Stephan
7. John Ashburner
8. Olivier David
9. Simon B. Eickhoff
10. R. J. Dolan

Papers from Mo Wang's perspective

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

1. An Efficient Constraint Handling Method for Genetic Algorithms
2. Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy (Evolutionary Computation)
3. Simulated Binary Crossover for Continuous Search Space
4. Multi-objective optimization using evolutionary algorithms
5. SPEA2: Improving the strength pareto evolutionary algorithm
6. Genetic Algorithms in Search
7. Handbook Of Genetic Algorithms
8. Excitability changes induced in the human motor cortex by weak transcranial direct current stimulation (Journal of Physiology)
9. Effects of uniform extracellular DC electric fields on excitability in rat hippocampal slices in vitro (Journal of Physiology)
10. Evolutionary Optimization in Dynamic Environments (Genetic Algorithms and Evolutionary Computation)

Their papers

• NeuroImage