Feng Li : Citation Profile


Are you Feng Li?

Central University of Finance and Economics (CUFE)

3

H index

1

i10 index

50

Citations

RESEARCH PRODUCTION:

17

Articles

9

Papers

1

Chapters

RESEARCH ACTIVITY:

   14 years (2009 - 2023). See details.
   Cites by year: 3
   Journals where Feng Li has often published
   Relations with other researchers
   Recent citing documents: 29.    Total self citations: 7 (12.28 %)

MORE DETAILS IN:
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   Permalink: http://citec.repec.org/pli521
   Updated: 2024-01-16    RAS profile: 2023-11-09    
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Relations with other researchers


Works with:

Hyndman, Rob (3)

Paccagnini, Alessia (2)

Martinez, Andrew (2)

Thomakos, Dimitrios (2)

Guidolin, Massimo (2)

Shang, Han Lin (2)

Franses, Philip Hans (2)

Castle, Jennifer (2)

Hendry, David (2)

Rubaszek, Michał (2)

Clements, Michael (2)

Fiszeder, Piotr (2)

Reade, J (2)

Grossi, Luigi (2)

Authors registered in RePEc who have co-authored more than one work in the last five years with Feng Li.

Is cited by:

Weron, Rafał (3)

Janczura, Joanna (2)

Hyndman, Rob (2)

Rubaszek, Michał (2)

Pelagatti, Matteo (1)

Maciejowska, Katarzyna (1)

Sznajderska, Anna (1)

Uniejewski, Bartosz (1)

Kohn, Robert (1)

Grossi, Luigi (1)

Marcjasz, Grzegorz (1)

Cites to:

Hyndman, Rob (51)

Athanasopoulos, George (20)

Nikolopoulos, Konstantinos (12)

Kohn, Robert (10)

Armstrong, J. (9)

Villani, Mattias (9)

Geweke, John (8)

Wallis, Kenneth (6)

Snyder, Ralph (5)

Mitchell, James (5)

Franses, Philip Hans (5)

Main data


Where Feng Li has published?


Journals with more than one article published# docs
International Journal of Forecasting7
European Journal of Operational Research2

Working Papers Series with more than one paper published# docs
Papers / arXiv.org4
Monash Econometrics and Business Statistics Working Papers / Monash University, Department of Econometrics and Business Statistics3
Working Paper Series / Sveriges Riksbank (Central Bank of Sweden)2

Recent works citing Feng Li (2024 and 2023)


YearTitle of citing document
2023Predicting Performances of Mutual Funds using Deep Learning and Ensemble Techniques. (2022). Tran, Hien ; Nguyen, Huy ; Pham, Nga ; Dao, Binh ; Chu, Nghia. In: Papers. RePEc:arx:papers:2209.09649.

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2023Hierarchical forecasting for aggregated curves with an application to day-ahead electricity price auctions. (2023). Ziel, Florian ; Ghelasi, Paul. In: Papers. RePEc:arx:papers:2305.16255.

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2023Learning Probability Distributions of Day-Ahead Electricity Prices. (2023). Hanus, Lubos ; Barunik, Jozef. In: Papers. RePEc:arx:papers:2310.02867.

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2023Forecasting skill of a crowd-prediction platform: A comparison of exchange rate forecasts. (2023). Lehmann, Niklas Valentin. In: Papers. RePEc:arx:papers:2312.09081.

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2023Can grid-tied solar photovoltaics lead to residential heating electrification? A techno-economic case study in the midwestern U.S.. (2023). Pearce, Joshua M ; Sommerfeldt, Nelson. In: Applied Energy. RePEc:eee:appene:v:336:y:2023:i:c:s0306261923002027.

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2023Heat load forecasting using adaptive spatial hierarchies. (2023). Madsen, Henrik ; Moller, Jan Kloppenborg ; Sorensen, Mikkel Lindstrom ; Bergsteinsson, Hjorleifur G. In: Applied Energy. RePEc:eee:appene:v:350:y:2023:i:c:s0306261923010401.

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2023Residential energy consumption forecasting using deep learning models. (2023). Dias, Bruno H ; Silva, Walquiria N ; Villela, Saulo Moraes ; Vitor, Paulo. In: Applied Energy. RePEc:eee:appene:v:350:y:2023:i:c:s0306261923010693.

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2023How many fundamentals should we include in the behavioral equilibrium exchange rate model?. (2023). Rubaszek, Michał ; Ca, Michele. In: Economic Modelling. RePEc:eee:ecmode:v:118:y:2023:i:c:s026499932200308x.

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2023Modeling and forecasting dynamic conditional correlations with opening, high, low, and closing prices. (2023). Fiszeder, Piotr ; Molnar, Peter ; Fadziski, Marcin. In: Journal of Empirical Finance. RePEc:eee:empfin:v:70:y:2023:i:c:p:308-321.

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2023Distributional neural networks for electricity price forecasting. (2023). Weron, Rafał ; Ziel, Florian ; Narajewski, Micha ; Marcjasz, Grzegorz. In: Energy Economics. RePEc:eee:eneeco:v:125:y:2023:i:c:s0140988323003419.

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2023Digitalization in decarbonizing electricity systems – Phenomena, regional aspects, stakeholders, use cases, challenges and policy options. (2023). Verma, Piyush ; Covatariu, Andrei ; Milojevic, Tatjana ; Heymann, Fabian. In: Energy. RePEc:eee:energy:v:262:y:2023:i:pb:s0360544222024033.

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2023Differential attention net: Multi-directed differential attention based hybrid deep learning model for solar power forecasting. (2023). Jana, Kartick C ; Shrivastava, Ashish ; Rai, Amit. In: Energy. RePEc:eee:energy:v:263:y:2023:i:pc:s0360544222026329.

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2023Memory long and short term time series network for ultra-short-term photovoltaic power forecasting. (2023). Yang, Mengyuan ; Huang, Congzhi. In: Energy. RePEc:eee:energy:v:279:y:2023:i:c:s0360544223013555.

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2023fETSmcs: Feature-based ETS model component selection. (2023). Jia, Suling ; Wang, Qiang ; Li, Xixi ; Qi, Lingzhi. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:3:p:1303-1317.

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2023Optimal competitive capacity strategies: Evidence from the container shipping market. (2023). de Koster, M. B. M, ; Zuidwijk, Rob ; Li, Xishu. In: Omega. RePEc:eee:jomega:v:115:y:2023:i:c:s0305048322001955.

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2023The artificial intelligence-assisted short-term optimal scheduling of a cascade hydro-photovoltaic complementary system with hybrid time steps. (2023). Kurban, Aynur ; He, YI ; Zheng, Kun ; Guo, SU. In: Renewable Energy. RePEc:eee:renene:v:202:y:2023:i:c:p:1169-1189.

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2023ARX-GARCH Probabilistic Price Forecasts for Diversification of Trade in Electricity Markets—Variance Stabilizing Transformation and Financial Risk-Minimizing Portfolio Allocation. (2023). Janczura, Joanna ; Pu, Andrzej. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:2:p:807-:d:1031193.

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2023Forecasting the Monash Microgrid for the IEEE-CIS Technical Challenge. (2023). Bean, Richard. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:3:p:1050-:d:1039403.

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2023Enhancing Smart Home Design with AI Models: A Case Study of Living Spaces Implementation Review. (2023). Almssad, Asaad ; Yitmen, Ibrahim ; Almusaed, Amjad. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:6:p:2636-:d:1094089.

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2023.

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2023Comprehensive Review on Waste Generation Modeling. (2023). Szasziova, Lenka ; Roseck, Martin ; Smejkalova, Veronika ; Omplak, Radovan ; Pavlas, Martin ; Hrabec, Duan ; Nevrl, Vlastimir. In: Sustainability. RePEc:gam:jsusta:v:15:y:2023:i:4:p:3278-:d:1064709.

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2023Explainable AI for Operational Research: A Defining Framework, Methods, Applications, and a Research Agenda. (2023). Lessmann, Stefan ; Kraus, Mathias ; Delen, Dursun ; Choi, Tsan-Ming ; Boute, Robert N ; Weber, Richard ; Baesens, Bart ; Verbeke, Wouter ; Slowiski, Roman ; Vairetti, Carla ; de Caigny, Arno ; Oskarsdottir, Maria ; Coussement, Kristof ; Martens, David ; de Bock, Koen W ; Maldonado, Sebastian. In: Post-Print. RePEc:hal:journl:hal-04219546.

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2023Arctic weather variability and connectivity. (2023). Kurths, Jurgen ; Bhatt, Uma S ; Fan, Jingfang ; Meng, Jun. In: Nature Communications. RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-42351-x.

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2023Does demand forecasting matter to retailing?. (2023). Veiga, Claudimar Pereira ; Almeida, Wesley Marcos. In: Journal of Marketing Analytics. RePEc:pal:jmarka:v:11:y:2023:i:2:d:10.1057_s41270-022-00162-x.

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2023Predicting binary outcomes based on the pair-copula construction. (2023). Yang, Liu ; Lahiri, Kajal. In: Empirical Economics. RePEc:spr:empeco:v:64:y:2023:i:6:d:10.1007_s00181-023-02418-6.

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2023Bayesian VARs of the U.S. economy before and during the pandemic. (2023). Sznajderska, Anna ; Haug, Alfred A. In: Eurasian Economic Review. RePEc:spr:eurase:v:13:y:2023:i:2:d:10.1007_s40822-023-00229-9.

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2023Statistical actuarial estimation of the Capitation Payment Unit from copula functions and deep learning: historical comparability analysis for the Colombian health system, 2015–2021. (2023). Martinez, Boris ; Ramos, Jeferson ; Bejarano, Valeria ; Espinosa, Oscar. In: Health Economics Review. RePEc:spr:hecrev:v:13:y:2023:i:1:d:10.1186_s13561-022-00416-5.

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Works by Feng Li:


YearTitleTypeCited
2022Forecasting: theory and practice In: Papers.
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2022Forecasting: theory and practice.(2022) In: International Journal of Forecasting.
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This paper has nother version. Agregated cites: 36
article
2022Bayesian forecast combination using time-varying features In: Papers.
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paper1
2023Bayesian forecast combination using time-varying features.(2023) In: International Journal of Forecasting.
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This paper has nother version. Agregated cites: 1
article
2022Feature-based intermittent demand forecast combinations: bias, accuracy and inventory implications In: Papers.
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paper0
2022Optimal reconciliation with immutable forecasts In: Papers.
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paper1
2023Optimal reconciliation with immutable forecasts.(2023) In: European Journal of Operational Research.
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This paper has nother version. Agregated cites: 1
article
2013Efficient Bayesian Multivariate Surface Regression In: Scandinavian Journal of Statistics.
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article1
2022Forecast with forecasts: Diversity matters In: European Journal of Operational Research.
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article1
2018Improving forecasting performance using covariate-dependent copula models In: International Journal of Forecasting.
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article2
2022FFORMPP: Feature-based forecast model performance prediction In: International Journal of Forecasting.
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article0
2022Hierarchical forecasting with a top-down alignment of independent-level forecasts In: International Journal of Forecasting.
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article1
2023Distributed ARIMA models for ultra-long time series In: International Journal of Forecasting.
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article3
2020Distributed ARIMA Models for Ultra-long Time Series.(2020) In: Monash Econometrics and Business Statistics Working Papers.
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This paper has nother version. Agregated cites: 3
paper
2023Forecast combinations: An over 50-year review In: International Journal of Forecasting.
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2021Déjà vu: A data-centric forecasting approach through time series cross-similarity In: Journal of Business Research.
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In: .
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2009Flexible Modeling of Conditional Distributions Using Smooth Mixtures of Asymmetric Student T Densities In: Working Paper Series.
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2010Modeling Conditional Densities Using Finite Smooth Mixtures In: Working Paper Series.
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2018Efficient generation of time series with diverse and controllable characteristics In: Monash Econometrics and Business Statistics Working Papers.
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2019Feature-based Forecast-Model Performance Prediction In: Monash Econometrics and Business Statistics Working Papers.
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2023Forecasting Large Collections of Time Series: Feature-Based Methods In: Palgrave Advances in Economics of Innovation and Technology.
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2019Changes in patterns of mortality rates and years of life lost due to firearms in the United States, 1999 to 2016: A joinpoint analysis In: PLOS ONE.
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2022A Note on Distributed Quantile Regression by Pilot Sampling and One-Step Updating In: Journal of Business & Economic Statistics.
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2019Credit risk clustering in a business group: Which matters more, systematic or idiosyncratic risk? In: Cogent Economics & Finance.
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2022The uncertainty estimation of feature-based forecast combinations In: Journal of the Operational Research Society.
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2023Feature-based intermittent demand forecast combinations: accuracy and inventory implications In: International Journal of Production Research.
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