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Xin Ma

4 papers hereh-index 457.5k citations132 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • stat.AP3
  • stat.ME1
same name
  • Xin Ma — 16 papers, h 7
  • Xin Ma — 11 papers, h 15
  • Xin Ma — 10 papers, h 5
  • Xin Ma — 8 papers, h 5
  • Xin Ma — 7 papers, h 6
  • Xin Ma — 7 papers, h 6

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedThe conformable fractional grey system model

306 citations · 574 across the 4 of their papers we have counts for

collaborators

4 papers

stat.AP2019★ 90 cited

Application of a new information priority accumulated grey model with time power to predict short-term wind turbine capacity

Jie Xia, Xin Ma, Wenqing Wu +2

Wind energy makes a significant contribution to global power generation. Predicting wind turbine capacity is becoming increasingly crucial for cleaner production. For this purpose,…

stat.AP2019★ 55 cited

Improved GM(1,1) model based on Simpson formula and its applications

Xin Ma, Wenqing Wu, Yuanyuan Zhang

The classical GM(1,1) model is an efficient tool to {make accurate forecasts} with limited samples. But the accuracy of the GM(1,1) model still needs to be improved. This paper pro…

stat.AP2018★ 123 cited

Application of the novel fractional grey model FAGMO(1,1,k) to predict China's nuclear energy consumption

Wenqing Wu, Xin Ma, Bo Zeng +2

At present, the energy structure of China is shifting towards cleaner and lower amounts of carbon fuel, driven by environmental needs and technological advances. Nuclear energy, wh…

stat.ME2018★ 306 cited

The conformable fractional grey system model

Xin Ma, Wenqing Wu, Bo Zeng +2

The fractional order grey models (FGM) have appealed considerable interest of research in recent years due to its higher effectiveness and flexibility than the conventional grey mo…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.