Jinran Wu

1.8k citations

95 papers · 1.3k · h-index 19

Impact in

Management Science and Operations Research top 5%
- Grey System Theory Applications
- Stock Market Forecasting Methods
Environmental Engineering top 5%
- Hydrological Forecasting Using AI
- Air Quality Monitoring and Forecasting

Papers in

Artificial Intelligence 31
- Machine Learning and ELM 13
- Neural Networks and Applications 10
- Metaheuristic Optimization Algorithms Research 7
Electrical and Electronic Engineering 27
- Energy Load and Power Forecasting 25

Co-authors: You‐Gan Wang (48 shared papers)Yang Yang (22 shared papers)Shaotong Zhang (22 shared papers)Zhe Ding (12 shared papers)Yu‐Chu Tian (4 shared papers)Kevin Burrage (2 shared papers)Yuchao Gao (10 shared papers)Weide Li (7 shared papers)
Journals: Expert Systems with Applications (4 papers)Neural Computing and Applications (3 papers)Electric Power Systems Research (3 papers)Engineering Applications of Artificial Intelligence (3 papers)Applied Soft Computing (3 papers)
Partner nations: Australia China Japan

In The Last Decade

Jinran Wu

87 papers receiving 1.2k citations

Peers

Replace Nelson F. F. Ebecken with:

Nelson F. F. Ebecken Brazil

Mehdi Neshat Australia

Sultan Noman Qasem Saudi Arabia

Esperanza García–Gonzalo Spain

A. Portilla-Figueras Spain

Jianzhong Zhou China

Kasun Bandara Australia

S.J.P.S. Mariano Portugal

Wenzhen Huang United States

Reham R. Mostafa Egypt

Jinran Wu relative to Nelson F. F. Ebecken Brazil Nelson F. F. Ebecken's profile →

Citations per field

00.5×2×3×4.4×

Nelson F. F. Ebecken · 1×

×1.7 184/108

MSOR

×0.9 177/204

EE

×0.7 386/565

AI

×4.4 466/106

EEE

×0.9 105/117

CTM

Citations per year

'16

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'19

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'21

'22

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Countries citing papers authored by Jinran Wu

Since Specialization

Citations

This map shows the geographic impact of Jinran Wu'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 Jinran Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinran Wu more than expected).

Fields of papers citing papers by Jinran Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jinran Wu. 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 Jinran Wu. The network helps show where Jinran Wu may publish in the future.

Co-authors

The 25 scholars most cited alongside Jinran Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jinran Wu Line = papers co-authored together Jinran Wu links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	An improved firefly algorithm for global continuous optimization problems Expert Systems with Applications ·Jinran Wu, You‐Gan Wang, Kevin Burrage, Yu‐Chu Tian, Brodie Lawson, Zhe Ding	2020	117
2	Support vector regression with asymmetric loss for optimal electric load forecasting Energy ·Jinran Wu, You‐Gan Wang, Yu‐Chu Tian, Kevin Burrage, Taoyun Cao	2021	69
3	QQLMPA: A quasi-opposition learning and Q-learning based marine predators algorithm Expert Systems with Applications ·Shangrui Zhao, Yulu Wu, Shuang Tan, Jinran Wu, Zhesen Cui, You‐Gan Wang	2022	61
4	A new hybrid model to predict the electrical load in five states of Australia Energy ·Jinran Wu, Zhesen Cui, Yanyan Chen, Demeng Kong, You‐Gan Wang	2018	56
5	A temporal LASSO regression model for the emergency forecasting of the suspended sediment concentrations in coastal oceans: Accuracy and interpretability Engineering Applications of Artificial Intelligence ·Shaotong Zhang, Jinran Wu, Yonggang Jia, You‐Gan Wang, Yaqi Zhang, Qibin Duan	2021	43
6	An opposition learning and spiral modelling based arithmetic optimization algorithm for global continuous optimization problems Engineering Applications of Artificial Intelligence ·Yang Yang, Yuchao Gao, Shuang Tan, Shangrui Zhao, Jinran Wu, Shangce Gao, Tengfei Zhang, Yu‐Chu Tian, You‐Gan Wang	2022	40
7	A hybrid deep learning framework for air quality prediction with spatial autocorrelation during the COVID-19 pandemic Scientific Reports ·Zixi Zhao, Jinran Wu, Fengjing Cai, Shaotong Zhang, You‐Gan Wang	2023	39
8	A new algorithm for support vector regression with automatic selection of hyperparameters Pattern Recognition ·You‐Gan Wang, Jinran Wu, Zhi‐Hua Hu, Geoffrey J. McLachlan	2022	38
9	An effective dimensionality reduction approach for short-term load forecasting Electric Power Systems Research ·Yang Yang, Zijin Wang, Yuchao Gao, Jinran Wu, Shangrui Zhao, Zhe Ding	2022	37
10	An integrated federated learning algorithm for short-term load forecasting Electric Power Systems Research ·Yang Yang, Zijin Wang, Shangrui Zhao, Jinran Wu	2022	36
11	A Novel Hybrid Model Based on Extreme Learning Machine, k-Nearest Neighbor Regression and Wavelet Denoising Applied to Short-Term Electric Load Forecasting Energies ·Weide Li, Demeng Kong, Jinran Wu	2017	36
12	An efficient DBSCAN optimized by arithmetic optimization algorithm with opposition-based learning The Journal of Supercomputing ·Yang Yang, Qian Chen, Haomiao Li, Yuchao Gao, Jinran Wu, Chanjuan Liu, Shangrui Zhao	2022	31
13	Robustified extreme learning machine regression with applications in outlier-blended wind-speed forecasting Applied Soft Computing ·Yang Yang, Hu Zhou, Jinran Wu, Zhe Ding, You‐Gan Wang	2022	28
14	A statistical learning framework for spatial-temporal feature selection and application to air quality index forecasting Ecological Indicators ·Zixi Zhao, Jinran Wu, Fengjing Cai, Shaotong Zhang, You‐Gan Wang	2022	27
15	Robust penalized extreme learning machine regression with applications in wind speed forecasting Neural Computing and Applications ·Yang Yang, Hu Zhou, Yuchao Gao, Jinran Wu, You‐Gan Wang, Liya Fu	2021	25
16	A physics-informed statistical learning framework for forecasting local suspended sediment concentrations in marine environment Water Research ·Shaotong Zhang, Jinran Wu, You‐Gan Wang, Dong‐Sheng Jeng, Guangxue Li	2022	25
17	A hybrid robust system considering outliers for electric load series forecasting Applied Intelligence ·Yang Yang, Zhenghang Tao, Qian Chen, Yuchao Gao, Hu Zhou, Zhe Ding, Jinran Wu	2021	24
18	A hybrid Autoformer framework for electricity demand forecasting Energy Reports ·Ziqian Wang, Zhihao Chen, Yang Yang, Chanjuan Liu, Xian Li, Jinran Wu	2023	23
19	Event-Triggered Output Feedback Control for a Class of Nonlinear Systems via Disturbance Observer and Adaptive Dynamic Programming IEEE Transactions on Fuzzy Systems ·Yang Yang, Xin Fan, Weinan Gao, Wenbin Yue, Aaron Liu, Shuocong Geng, Jinran Wu	2023	22
20	A novel deep learning framework with a COVID-19 adjustment for electricity demand forecasting Energy Reports ·Zhesen Cui, Jinran Wu, Wei Lian, You‐Gan Wang	2023	18

About Jinran Wu

Jinran Wu is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Management Science and Operations Research, Environmental Engineering and Control and Systems Engineering, having authored 95 papers that have together received 1.3k indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (25 papers), Machine Learning and ELM (13 papers), Neural Networks and Applications (10 papers), Hydrological Forecasting Using AI (9 papers), Metaheuristic Optimization Algorithms Research (7 papers), Grey System Theory Applications (7 papers), Forecasting Techniques and Applications (6 papers) and Air Quality Monitoring and Forecasting (6 papers). The work is most often cited by research in Management Science and Operations Research (184 citations), Environmental Engineering (177 citations), Artificial Intelligence (386 citations), Electrical and Electronic Engineering (466 citations) and Computational Theory and Mathematics (105 citations). Jinran Wu has collaborated with scholars based in Australia, China and Japan. Frequent co-authors include You‐Gan Wang, Yang Yang, Shaotong Zhang, Zhe Ding, Yu‐Chu Tian, Kevin Burrage, Yuchao Gao, Weide Li, Brodie Lawson and Zijin Wang. Their work appears in journals such as Expert Systems with Applications, Neural Computing and Applications, Electric Power Systems Research, Engineering Applications of Artificial Intelligence and Applied Soft Computing.

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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Jinran Wu

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Fields of papers citing papers by Jinran Wu

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About Jinran Wu

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