Fi-John Chang

Artificial Intelligence · 2006–2020

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it; #22,443 of 35,345 by trust here, #23,731 by citations
• Environmental Engineering — 7 citations into it; #2,787 of 5,479 by trust here, #2,867 by citations

Whom Fi-John Chang trusts overall

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

1. Rao S. Govindaraju
2. Holger R. Maier
3. Graeme C. Dandy
4. N. Null
5. Ashish Sharma

Who trusts Fi-John Chang overall

1. George S. Atsalakis
2. Mehmet Özger
3. Eftychios E. Protopapadakis
4. Amir Mosavi
5. Kimon P. Valavanis

Papers from Fi-John Chang's perspective

Ordered by how strongly the researchers Fi-John Chang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Neural networks for the prediction and forecasting of water resource variables: a review of modelling issues and applications (Environmental Modelling & Software)
2. A study of optimal model lag and spatial inputs to artificial neural network for rainfall forecasting
3. ARTIFICIAL NEURAL NETWORKS IN HYDROLOGY: II, HYDROLOGIC APPLICATIONS
4. Principles of Neurocomputing for Science and Engineering
5. A comparison of various forecasting techniques applied to mean hourly wind speed time series
6. Long Short-Term Memory
7. A new look at the statistical model identification
8. ImageNet classification with deep convolutional neural networks
9. Multilayer feedforward networks are universal approximators
10. Finding Structure in Time

Their papers

• Exploring a Long Short-Term Memory based Encoder-Decoder framework for multi-step-ahead flood forecasting (2020) — 341 citations
• Adaptive neuro-fuzzy inference system for prediction of water level in reservoir (2006) — 578 citations