Xinsong Niu

2.0k total citations · 1 hit paper
27 papers, 1.6k citations indexed

About

Xinsong Niu is a scholar working on Electrical and Electronic Engineering, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Xinsong Niu has authored 27 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Electrical and Electronic Engineering, 10 papers in Management Science and Operations Research and 8 papers in Artificial Intelligence. Recurrent topics in Xinsong Niu's work include Energy Load and Power Forecasting (20 papers), Electric Power System Optimization (10 papers) and Grey System Theory Applications (8 papers). Xinsong Niu is often cited by papers focused on Energy Load and Power Forecasting (20 papers), Electric Power System Optimization (10 papers) and Grey System Theory Applications (8 papers). Xinsong Niu collaborates with scholars based in China, Macao and France. Xinsong Niu's co-authors include Lifang Zhang, Jianzhou Wang, Zhenkun Liu, Ping Jiang, Jiyang Wang, Danxiang Wei, Hao Yan, Zhiwu Li, Wenyu Zhang and Bo He and has published in prestigious journals such as Journal of Cleaner Production, Applied Energy and Expert Systems with Applications.

In The Last Decade

Xinsong Niu

27 papers receiving 1.6k citations

Hit Papers

A combined forecasting model for time series: Application... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinsong Niu China 23 1.2k 520 454 260 241 27 1.6k
Lifang Zhang China 21 922 0.8× 422 0.8× 371 0.8× 235 0.9× 214 0.9× 44 1.4k
Ping Jiang China 26 1.8k 1.5× 757 1.5× 713 1.6× 379 1.5× 275 1.1× 44 2.5k
Pei Du China 23 1.7k 1.4× 754 1.4× 698 1.5× 381 1.5× 242 1.0× 35 2.4k
Ranran Li China 23 926 0.8× 356 0.7× 375 0.8× 397 1.5× 246 1.0× 56 1.7k
Jujie Wang China 22 1.3k 1.1× 482 0.9× 933 2.1× 267 1.0× 528 2.2× 81 2.2k
Hufang Yang China 21 620 0.5× 289 0.6× 304 0.7× 304 1.2× 145 0.6× 28 1.1k
Xiwei Mi China 18 1.7k 1.4× 751 1.4× 351 0.8× 349 1.3× 73 0.3× 29 2.2k
Hongmin Li China 18 601 0.5× 265 0.5× 260 0.6× 269 1.0× 107 0.4× 33 1.1k
Yaoyao He China 24 1.2k 1.0× 492 0.9× 396 0.9× 204 0.8× 151 0.6× 76 1.9k

Countries citing papers authored by Xinsong Niu

Since Specialization
Citations

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

Fields of papers citing papers by Xinsong Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinsong Niu

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

All Works

20 of 20 papers shown
2.
Liu, Zhenkun, Ping Jiang, Koen W. De Bock, et al.. (2023). Extreme gradient boosting trees with efficient Bayesian optimization for profit-driven customer churn prediction. Technological Forecasting and Social Change. 198. 122945–122945. 46 indexed citations
3.
Wang, Jianzhou, et al.. (2023). A wind speed forecasting system for the construction of a smart grid with two-stage data processing based on improved ELM and deep learning strategies. Expert Systems with Applications. 241. 122487–122487. 53 indexed citations
4.
Wang, Xinyu, Jianzhou Wang, Xinsong Niu, & C.L. Wu. (2023). Novel wind-speed prediction system based on dimensionality reduction and nonlinear weighting strategy for point-interval prediction. Expert Systems with Applications. 241. 122477–122477. 21 indexed citations
5.
Liu, Zhenkun, et al.. (2023). Forecasting system with sub-model selection strategy for photovoltaic power output forecasting. Earth Science Informatics. 16(1). 287–313. 5 indexed citations
6.
Li, Jing, et al.. (2022). Ensemble wind speed forecasting system based on optimal model adaptive selection strategy: Case study in China. Sustainable Energy Technologies and Assessments. 53. 102535–102535. 25 indexed citations
7.
Wang, Jianzhou, et al.. (2022). Combined water quality forecasting system based on multiobjective optimization and improved data decomposition integration strategy. Journal of Forecasting. 42(2). 260–287. 14 indexed citations
8.
Wang, Jianzhou, et al.. (2022). A newly combination model based on data denoising strategy and advanced optimization algorithm for short-term wind speed prediction. Journal of Ambient Intelligence and Humanized Computing. 14(7). 8271–8290. 32 indexed citations
9.
Wang, Jianzhou, Lifang Zhang, Zhenkun Liu, & Xinsong Niu. (2022). A novel decomposition-ensemble forecasting system for dynamic dispatching of smart grid with sub-model selection and intelligent optimization. Expert Systems with Applications. 201. 117201–117201. 33 indexed citations
10.
Li, Jing, et al.. (2022). Novel deterministic and probabilistic combined system based on deep learning and self-improved optimization algorithm for wind speed forecasting. Sustainable Energy Technologies and Assessments. 52. 102186–102186. 25 indexed citations
11.
Liu, Zhenkun, et al.. (2022). Hospitality order cancellation prediction from a profit-driven perspective. International Journal of Contemporary Hospitality Management. 35(6). 2084–2112. 32 indexed citations
12.
Yan, Hao, Xinsong Niu, & Jianzhou Wang. (2021). Impacts of haze pollution on China's tourism industry: A system of economic loss analysis. Journal of Environmental Management. 295. 113051–113051. 75 indexed citations
13.
Wei, Danxiang, Jianzhou Wang, Xinsong Niu, & Zhiwu Li. (2021). Wind speed forecasting system based on gated recurrent units and convolutional spiking neural networks. Applied Energy. 292. 116842–116842. 76 indexed citations
14.
Wang, Jianzhou, et al.. (2021). Point and interval prediction for non-ferrous metals based on a hybrid prediction framework. Resources Policy. 73. 102222–102222. 34 indexed citations
15.
Jiang, Ping, Zhenkun Liu, Xinsong Niu, & Lifang Zhang. (2020). A combined forecasting system based on statistical method, artificial neural networks, and deep learning methods for short-term wind speed forecasting. Energy. 217. 119361–119361. 191 indexed citations
16.
Wang, Jianzhou, Xinsong Niu, Zhenkun Liu, & Lifang Zhang. (2020). Analysis of the influence of international benchmark oil price on China’s real exchange rate forecasting. Engineering Applications of Artificial Intelligence. 94. 103783–103783. 44 indexed citations
17.
Zhang, Wenyu, Lifang Zhang, Jianzhou Wang, & Xinsong Niu. (2020). Hybrid system based on a multi-objective optimization and kernel approximation for multi-scale wind speed forecasting. Applied Energy. 277. 115561–115561. 86 indexed citations
18.
He, Bo, Xinsong Niu, & Jianzhou Wang. (2019). Wind Speed Forecasting System Based on the Variational Mode Decomposition Strategy and Immune Selection Multi-Objective Dragonfly Optimization Algorithm. IEEE Access. 7. 178063–178081. 41 indexed citations
19.
Liu, Zhenkun, Ping Jiang, Lifang Zhang, & Xinsong Niu. (2019). A combined forecasting model for time series: Application to short-term wind speed forecasting. Applied Energy. 259. 114137–114137. 253 indexed citations breakdown →
20.
Niu, Xinsong & Jiyang Wang. (2019). A combined model based on data preprocessing strategy and multi-objective optimization algorithm for short-term wind speed forecasting. Applied Energy. 241. 519–539. 194 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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