Scholar4AI Updated 2026-11-03 18:03 UTC+09:00

Papers on “time series forecasting”

Research on “time series forecasting” in the 480 tracked journals: papers per year and category, the journals, institutions and countries publishing it, the keywords studied with it and its most-cited papers. It is not among the most frequent keywords of the last 30 days, so this page has no list of its latest papers. Also as Markdown.

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← Top research keywords · Keyword trends

Key findings#

  • From 2017 to 2026 (so far), the keyword “time series forecasting” appeared in 1,071 papers in the tracked journals, most of them in AI (749), economics (126) and operations research (77).
  • 193 of them were published in 2025, against 35 in 2017.
  • Since 2023, the institutions with the most of these papers were Central South University (11), Beihang University (10) and Monash University (10).
  • The journals publishing most of them were Expert Systems with Applications (120), Knowledge-Based Systems (65) and Neural Computing and Applications (49).
  • The most-cited of them is “DeepAR: Probabilistic forecasting with autoregressive recurrent networks” (International Journal of Forecasting, 2019), with 2,729 citations.

Papers per year#

2017: 35 papers2018: 49 papers2019: 63 papers2020: 77 papers2021: 91 papers2022: 127 papers2023: 133 papers2024: 140 papers2025: 193 papers2026 (so far): 163 papers
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
AI242830446394103101140122
Economics19211214179171610
Operations Research583768781510
Finance012631641010
Statistics4032046654
Information Systems0221220034
Management0012312230
Tourism and Hospitality0103000101
Higher Education and Research1000000101
Marketing0000000011
Health Economics and Policy0010000000
All categories3549637791127133140193163

Where the papers come from#

Countries with the most papers, since 2023
#CountryPapers
1China311
2United States63
3India33
4Australia31
5Spain27
6South Korea27
7United Kingdom22
8Turkey22
9Germany20
10Hong Kong20
Keywords with the most papers, since 2023
#KeywordPapers
1LSTM38
2transformer models37
3attention mechanism34
4long-term forecasting30
5long short-term memory28
6stock price prediction28
7ARIMA25
8recurrent neural networks25
9time series classification23

Most-cited papers#

Most-cited papers since 2017
#CitationsPer monthTitleJournalPublishedAuthors
12,72932.3DeepAR: Probabilistic forecasting with autoregressive recurrent networksInternational Journal of Forecasting2019-10-19David Salinas, Valentín Flunkert, Jan A. Gasthaus et al.
21,36918.3Recurrent Neural Networks for Time Series Forecasting: Current status and future directionsInternational Journal of Forecasting2020-08-10Hansika Hewamalage, Christoph Bergmeir, Kasun Bandara
399211.3The M4 Competition: 100,000 time series and 61 forecasting methodsInternational Journal of Forecasting2019-07-19Spyros Makridakis, Evangelos Spiliotis, Vassilios Assimakopoulos
486911.0A CNN–LSTM model for gold price time-series forecastingNeural Computing and Applications2020-04-13Ioannis E. Livieris, Emmanuel G. Pintelas, Panagiotis Pintelas
57747.2A note on the validity of cross-validation for evaluating autoregressive time series predictionComputational Statistics & Data Analysis2017-11-23Christoph Bergmeir, Rob J. Hyndman, Bonsoo Koo

Research ideas that follow this keyword#

Cite this page

Scholar4AI. (2026). Papers on “time series forecasting”. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/keywords/time-series-forecasting

@misc{scholar4ai-keywords-time-series-forecasting,
  author = {{Scholar4AI}},
  title = {Papers on “time series forecasting”},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/keywords/time-series-forecasting}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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