Jinran Wu

2.3k citations
124 papers · 1.6k · h-index 22

Impact in

Papers in

Co-authors
You‐Gan Wang (55 shared papers)Yang Yang (22 shared papers)Shaotong Zhang (22 shared papers)Zhe Ding (13 shared papers)Yu‐Chu Tian (4 shared papers)Kevin Burrage (2 shared papers)Yuchao Gao (10 shared papers)Weide Li (6 shared papers)
Journals
Engineering Applications of Artificial Intelligence (5 papers)Expert Systems with Applications (4 papers)Journal of Hydrology (4 papers)Applied Soft Computing (3 papers)Electric Power Systems Research (3 papers)
Partner nations
AustraliaChinaUnited Kingdom

In The Last Decade

Jinran Wu

111 papers receiving 1.6k citations

Peers

Jinran Wu
Comparison fields: 5 of 118
  • Environmental Engineering 229
  • Management Science and Operations Research 190
  • Artificial Intelligence 423
  • Electrical and Electronic Engineering 513
  • Building and Construction 105
Replace Sultan Noman Qasem with:
Sultan Noman Qasem Saudi Arabia
Weide Li China
Esperanza García–Gonzalo Spain
Yi Liang China
Mehdi Neshat Australia
Xiang Jun Yu China
Emilio G. Ortiz‐García Spain
Yongqi Liu China
Yuting Bai China
Fayzul Pasha United States
Jinran Wu relative to Sultan Noman Qasem Saudi Arabia Sultan Noman Qasem's profile →
Citations per field
00.5×1.5×2.1×
Sultan Noman Qasem · 1×
Citations per year

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

20 of 20 papers shown

Showing the 20 most-cited of 124 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
2020128
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
202174
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
202270
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
201859
5
A new algorithm for support vector regression with automatic selection of hyperparameters
Pattern Recognition ·You‐Gan Wang, Jinran Wu, Zhi‐Hua Hu, Geoffrey John McLachlan
202249
6
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
202147
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
202345
8
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
202242
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
202239
10
An integrated federated learning algorithm for short-term load forecasting
Electric Power Systems Research ·Yang Yang, Zijin Wang, Shangrui Zhao, Jinran Wu
202239
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
201738
12
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
202234
13
Assessing and predicting water quality index with key water parameters by machine learning models in coastal cities, China
Heliyon ·Jing Xu, Yuming Mo, Senlin Zhu, Jinran Wu, Guangqiu Jin, You‐Gan Wang, Qingfeng Ji, Ling Li
202433
14
An efficient DBSCAN optimized by arithmetic optimization algorithm with opposition-based learning
The Journal of Supercomputing ·Yang Yang, Haomiao Li, Yuchao Gao, Jinran Wu, Chanjuan Liu, Shangrui Zhao +1 other
202232
15
Physical informed neural networks with soft and hard boundary constraints for solving advection-diffusion equations using Fourier expansions
Computers & Mathematics with Applications ·Xi'an Li, Jiaxin Deng, Jinran Wu, Shaotong Zhang, Weide Li, You‐Gan Wang
202431
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
202230
17
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
202230
18
A hybrid Autoformer framework for electricity demand forecasting
Energy Reports ·Ziqian Wang, Zhihao Chen, Yang Yang, Chanjuan Liu, Xi'an Li, Jinran Wu
202329
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
202328
20
A survey on wind power forecasting with machine learning approaches
Neural Computing and Applications ·Yang Yang, Hao Lou, Jinran Wu, Shaotong Zhang, Shangce Gao
202427

About Jinran Wu

Jinran Wu is a scholar working on Environmental Engineering, Management Science and Operations Research, Artificial Intelligence, Earth-Surface Processes and Electrical and Electronic Engineering, having authored 124 papers that have together received 1.6k indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (25 papers), Machine Learning and ELM (13 papers), Hydrological Forecasting Using AI (11 papers), Neural Networks and Applications (10 papers), Grey System Theory Applications (8 papers), Hydrology and Watershed Management Studies (7 papers), Metaheuristic Optimization Algorithms Research (7 papers) and Coastal and Marine Dynamics (6 papers). The work is most often cited by research in Environmental Engineering (229 citations), Management Science and Operations Research (190 citations), Artificial Intelligence (423 citations), Electrical and Electronic Engineering (513 citations) and Building and Construction (105 citations). Jinran Wu has collaborated with scholars based in Australia, China and United Kingdom. Frequent co-authors include You‐Gan Wang, Yang Yang, Shaotong Zhang, Zhe Ding, Yu‐Chu Tian, Kevin Burrage, Yuchao Gao, Weide Li, Chanjuan Liu and Xi'an Li. Their work appears in journals such as Engineering Applications of Artificial Intelligence, Expert Systems with Applications, Journal of Hydrology, Applied Soft Computing and Electric Power Systems Research.

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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