Jujie Wang

3.1k citations

81 papers · 2.2k indexed · 1 hit paper · h-index 22

Electrical and Electronic Engineering top 5%
Management Science and Operations Research top 0.5%
Economics and Econometrics top 2%
Artificial Intelligence top 2%
Environmental Engineering top 5%

Co-authors: Yaning Li Jianzhou Wang Zhe George Zhang Wenyu Zhang Quan CuiXin SunMeng TianXin Zhang
Topics: Energy Load and Power Forecasting (65 papers)Stock Market Forecasting Methods (30 papers)Market Dynamics and Volatility (17 papers)
Cited by: Management Science and Operations Research Electrical and Electronic Engineering Energy Engineering and Power Technology
Journals: The Science of The Total Environment Journal of Cleaner Production Geophysical Research Letters
Partner nations: China United States Canada

In The Last Decade

Jujie Wang

78 papers receiving 2.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Forecasting stock indices with back propagation neural network

2011 351 citations Jujie Wang et al. Expert Systems with Applications profile →

Peers

Countries citing papers authored by Jujie Wang

Since Specialization

Citations

This map shows the geographic impact of Jujie Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jujie Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jujie Wang more than expected).

Fields of papers citing papers by Jujie Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jujie Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jujie Wang. The network helps show where Jujie Wang may publish in the future.

Co-authorship network of co-authors of Jujie Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jujie Wang. A scholar is included among the top collaborators of Jujie Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jujie Wang. Jujie Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	A multi-scale and multi-factor optimized deep ensemble model for wind speed forecasting based on comprehensive feature extraction and anti-information leakage 2025 ·Measurement ·(unknown),Jujie Wang	3
2	Interval multi-feature sparse transformer-CNN: A synergistic approach to precise and efficient spatio-temporal wind speed interval-value prediction 2025 ·Applied Soft Computing ·(unknown),Jujie Wang,(unknown)	0
3	An optimal multi-scale ensemble transformer for carbon emission allowance price prediction based on time series patching and two-stage stabilization 2025 ·Energy ·Xin Zhang,Jujie Wang,(unknown)	1
4	An enhanced differential learning wind speed interval-value prediction system based on optimal collaborative interval decomposition and strategic model selection 2025 ·Renewable Energy ·(unknown),Jujie Wang,(unknown),(unknown)	0
5	An interpretable interval-valued wind power prediction system based on multi-objective feature extraction and base model selection with dynamic ensemble 2025 ·Swarm and Evolutionary Computation ·Jujie Wang,(unknown),Qian Li	1
6	An optimal multi-scale and multi-factor two-stage integration paradigm coupled with investor sentiment for carbon price prediction 2024 ·Information Processing & Management ·Jujie Wang,(unknown)	5
7	An interval-valued carbon price prediction model based on improved multi-scale feature selection and optimal multi-kernel support vector regression 2024 ·Information Sciences ·(unknown),Jujie Wang,Qian Li	3
8	An interpretable deep learning multi-dimensional integration framework for exchange rate forecasting based on deep and shallow feature selection and snapshot ensemble technology 2024 ·Engineering Applications of Artificial Intelligence ·Jujie Wang,(unknown)	4
9	A time series attention mechanism based model for tourism demand forecasting 2023 ·Information Sciences ·Yunxuan Dong,(unknown),(unknown),Jujie Wang	26
10	An enhanced interval-valued decomposition integration model for stock price prediction based on comprehensive feature extraction and optimized deep learning 2023 ·Expert Systems with Applications ·Jujie Wang,Jing Liu,(unknown)	17
11	An online transfer learning model for wind turbine power prediction based on spatial feature construction and system-wide update 2023 ·Applied Energy ·(unknown),Jujie Wang,Jianping Li,(unknown)	22
12	An enhanced decomposition integration model for deterministic and probabilistic carbon price prediction based on two-stage feature extraction and intelligent weight optimization 2023 ·Journal of Cleaner Production ·Xin Zhang,Jujie Wang	21
13	Monthly wind distribution prediction based on nonparametric estimation and modified differential evolution optimization algorithm 2023 ·Renewable Energy ·(unknown),Jujie Wang,Jianping Li,(unknown)	5
14	An intensive decomposition integration paradigm for short-term wind power forecasting based on feature extraction and optimal weighted combination strategy 2023 ·Measurement ·Jujie Wang,(unknown)	11
15	A Novel Stock Index Direction Prediction Based on Dual Classifier Coupling and Investor Sentiment Analysis 2023 ·Cognitive Computation ·Jujie Wang,(unknown)	8
16	Two-Stage Deep Ensemble Paradigm Based on Optimal Multi-scale Decomposition and Multi-factor Analysis for Stock Price Prediction 2023 ·Cognitive Computation ·Jujie Wang,(unknown)	4
17	A deep learning-based nonlinear ensemble approach with biphasic feature selection for multivariate exchange rate forecasting 2023 ·Multimedia Tools and Applications ·Jujie Wang,Maolin He,(unknown),Jing Feng	1
18	Stock price prediction using multi-scale nonlinear ensemble of deep learning and evolutionary weighted support vector regression 2022 ·Studies in Nonlinear Dynamics and Econometrics ·Jujie Wang,(unknown),(unknown),(unknown),Feng Liu	2
19	Techniques of applying wavelet de-noising into a combined model for short-term load forecasting 2014 ·International Journal of Electrical Power & Energy Systems ·Jujie Wang,Jianzhou Wang,Yaning Li,Suling Zhu,Jing Zhao	50
20	Analysis of Applicability and Characteristics of MODIS Aerosol Products in Agricultural Regions 2013 ·Yaogan jishu yu yingyong ·(unknown),Wenyu Zhang,Lingbin Kong,Jujie Wang	1

About Jujie Wang

Jujie Wang is a scholar working on Management Science and Operations Research, Energy Engineering and Power Technology and Electrical and Electronic Engineering, having authored 81 papers that have together received 2.2k indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (65 papers), Stock Market Forecasting Methods (30 papers) and Market Dynamics and Volatility (17 papers). The work is most often cited by research in Management Science and Operations Research (933 citations), Electrical and Electronic Engineering (1.3k citations) and Energy Engineering and Power Technology (64 citations). Jujie Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yaning Li, Jianzhou Wang, Zhe George Zhang, Jianzhou Wang, Wenyu Zhang, Quan Cui, Xin Sun, Meng Tian, Xin Sun and Xin Zhang. Their work appears in journals such as The Science of The Total Environment, Journal of Cleaner Production and Geophysical Research Letters.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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