Jinran Wu

1.8k total citations
95 papers, 1.3k citations indexed

About

Jinran Wu is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Management Science and Operations Research. According to data from OpenAlex, Jinran Wu has authored 95 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 27 papers in Electrical and Electronic Engineering and 16 papers in Management Science and Operations Research. Recurrent topics in Jinran Wu's work include Energy Load and Power Forecasting (25 papers), Machine Learning and ELM (13 papers) and Neural Networks and Applications (10 papers). Jinran Wu is often cited by papers focused on Energy Load and Power Forecasting (25 papers), Machine Learning and ELM (13 papers) and Neural Networks and Applications (10 papers). Jinran Wu collaborates with scholars based in Australia, China and Japan. Jinran Wu's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Water Research.

In The Last Decade

Jinran Wu

87 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jinran Wu Australia	19	466	386	184	177	144	95	1.3k
Mehdi Neshat Australia	23	641 1.4×	580 1.5×	78 0.4×	128 0.7×	214 1.5×	89	1.9k
Sultan Noman Qasem Saudi Arabia	24	232 0.5×	637 1.7×	84 0.5×	254 1.4×	171 1.2×	88	1.7k
A. Portilla-Figueras Spain	23	909 2.0×	705 1.8×	155 0.8×	275 1.6×	150 1.0×	104	2.0k
Yuting Bai China	24	347 0.7×	467 1.2×	124 0.7×	257 1.5×	313 2.2×	73	1.6k
Alaa Sagheer Egypt	13	256 0.5×	318 0.8×	224 1.2×	120 0.7×	97 0.7×	33	1.2k
Tingli Su China	21	331 0.7×	437 1.1×	109 0.6×	274 1.5×	292 2.0×	76	1.7k
Xuebo Jin China	25	336 0.7×	526 1.4×	129 0.7×	297 1.7×	388 2.7×	76	2.1k
Zhongda Tian China	24	835 1.8×	577 1.5×	195 1.1×	172 1.0×	494 3.4×	93	1.8k
Hang Lei China	11	162 0.3×	370 1.0×	57 0.3×	121 0.7×	87 0.6×	68	1.4k
Esperanza García–Gonzalo Spain	24	264 0.6×	369 1.0×	77 0.4×	425 2.4×	289 2.0×	80	2.1k

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-authorship network of co-authors of Jinran Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jinran Wu. A scholar is included among the top collaborators of Jinran Wu 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 Jinran Wu. Jinran Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Jin, Guangqiu, et al.. (2025). Spatiotemporal variations of water levels and river-lake interaction in the Poyang Lake basin under the extreme drought. Journal of Hydrology Regional Studies. 57. 102165–102165. 7 indexed citations

Li, Xian, Jinran Wu, Yujia Huang, et al.. (2025). Fourier-feature induced physics informed randomized neural network method to solve the biharmonic equation. Journal of Computational and Applied Mathematics. 468. 116635–116635.

Zhang, Qingbin, Zhixing Zhao, P. P. Kong, et al.. (2025). A two-stage probabilistic forecasting framework for dam displacement: Evidence from a Chinese watershed. Journal of Hydrology Regional Studies. 62. 102822–102822.

Zhang, Shaotong, Jinran Wu, Lulu Qiao, et al.. (2024). Analysis of fine-grained sediment dynamics from field observations with a vector autoregressive model. Journal of Hydrology. 644. 132100–132100. 2 indexed citations

Liu, Siyuan, Yuan Jin, Weide Li, et al.. (2024). Probabilistic quantile multiple fourier feature network for lake temperature forecasting: incorporating pinball loss for uncertainty estimation. Earth Science Informatics. 17(6). 5135–5148. 3 indexed citations

Zhang, Shaotong, Jinran Wu, Yao Jin, et al.. (2024). Solving the temporal lags in local significant wave height prediction with a new VMD-LSTM model. Ocean Engineering. 313. 119385–119385. 8 indexed citations

Ding, Zhe, et al.. (2024). Probabilistic sunspot predictions with a gated recurrent units-based combined model guided by pinball loss. Scientific Reports. 14(1). 13601–13601. 2 indexed citations

Yang, Yang, et al.. (2024). Robust autoregressive bidirectional gated recurrent units model for short-term power forecasting. Engineering Applications of Artificial Intelligence. 138. 109453–109453. 3 indexed citations

Wang, Fang, et al.. (2024). Rapeseed Seed Coat Color Classification Based on the Visibility Graph Algorithm and Hyperspectral Technique. Agronomy. 14(5). 941–941. 6 indexed citations

10.

Zhang, Shaotong, et al.. (2023). Predictions of runoff and sediment discharge at the lower Yellow River Delta using basin irrigation data. Ecological Informatics. 78. 102385–102385. 5 indexed citations

11.

Zhang, Shaotong, Jinran Wu, You‐Gan Wang, et al.. (2023). Improved Prediction of Local Significant Wave Height by Considering the Memory of Past Winds. Water Resources Research. 59(8). 6 indexed citations

12.

Wu, Jinran, et al.. (2023). Mixture extreme learning machine algorithm for robust regression. Knowledge-Based Systems. 280. 111033–111033. 7 indexed citations

13.

Li, Weide, et al.. (2023). A Novel Deep Learning Model for Mining Nonlinear Dynamics in Lake Surface Water Temperature Prediction. Remote Sensing. 15(4). 900–900. 17 indexed citations

14.

Yang, Yang, et al.. (2023). Event-Triggered Output Feedback Control for a Class of Nonlinear Systems via Disturbance Observer and Adaptive Dynamic Programming. IEEE Transactions on Fuzzy Systems. 31(9). 3148–3160. 22 indexed citations

15.

Liu, Chanjuan, et al.. (2022). Overseas Warehouse Deployment for Cross-Border E-Commerce in the Context of the Belt and Road Initiative. Sustainability. 14(15). 9642–9642. 11 indexed citations

16.

Yang, Yang, Yuchao Gao, Jinran Wu, et al.. (2022). An opposition learning and spiral modelling based arithmetic optimization algorithm for global continuous optimization problems. Engineering Applications of Artificial Intelligence. 113. 104981–104981. 40 indexed citations

17.

Yang, Yang, et al.. (2022). An integrated federated learning algorithm for short-term load forecasting. Electric Power Systems Research. 214. 108830–108830. 36 indexed citations

18.

Yang, Yang, et al.. (2022). An effective dimensionality reduction approach for short-term load forecasting. Electric Power Systems Research. 210. 108150–108150. 37 indexed citations

19.

Wu, Qingyue, et al.. (2022). An asymmetric bisquare regression for mixed cyberattack-resilient load forecasting. Expert Systems with Applications. 210. 118467–118467. 6 indexed citations

20.

Liu, Chanjuan, et al.. (2021). Long-Range Dependence and Multifractality of Ship Flow Sequences in Container Ports: A Comparison of Shanghai, Singapore, and Rotterdam. Applied Sciences. 11(21). 10378–10378. 1 indexed citations

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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