9 citations · 10 across the 2 of their papers we have counts for
5 papers
Network-based Approach and Climate Change Benefits for Forecasting the Amount of Indian Monsoon Rainfall
Jingfang Fan, Jun Meng, Josef Ludescher +5
The Indian summer monsoon rainfall (ISMR) has a decisive influence on India's agricultural output and economy. Extreme deviations from the normal seasonal amount of rainfall can ca…
Complexity based approach for El Nino magnitude forecasting before the "spring predictability barrier"
Jun Meng, Jingfang Fan, Josef Ludescher +5
The El Nino Southern Oscillation (ENSO) is one of the most prominent interannual climate phenomena. An early and reliable ENSO forecasting remains a crucial goal, due to its seriou…
A combined network and machine learning approaches for product market forecasting
Jingfang Fan, Keren Cohen, Louis M. Shekhtman +4
Sustainable financial markets play an important role in the functioning of human society. Still, the detection and prediction of risk in financial markets remain challenging and dr…
Abrupt transitions in collaborative social networks
Jingfang Fan, Jun Meng, Yimin Ding +6
Despite the wide use of networks as a versatile tool for exploring complex social systems, little is known about how to detect and forecast abrupt changes in social systems. In thi…
Statistical properties of random clique networks
Yi-Min Ding, Jun Meng, Jing-Fang Fan +2
In this paper, a random clique network model to mimic the large clustering coefficient and the modular structure that exist in many real complex networks, such as social networks,…