Sheng-Xiang Lv

895 total citations
14 papers, 697 citations indexed

About

Sheng-Xiang Lv is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Sheng-Xiang Lv has authored 14 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electrical and Electronic Engineering, 6 papers in Artificial Intelligence and 5 papers in Management Science and Operations Research. Recurrent topics in Sheng-Xiang Lv's work include Energy Load and Power Forecasting (8 papers), Solar Radiation and Photovoltaics (5 papers) and Stock Market Forecasting Methods (4 papers). Sheng-Xiang Lv is often cited by papers focused on Energy Load and Power Forecasting (8 papers), Solar Radiation and Photovoltaics (5 papers) and Stock Market Forecasting Methods (4 papers). Sheng-Xiang Lv collaborates with scholars based in China. Sheng-Xiang Lv's co-authors include Lin Wang, Yu‐Rong Zeng, Huanling Hu, Lu Peng, Binrong Wu, Qing Zhu, Ziyun Wang, Feng Wang, Xi Han and Sirui Wang and has published in prestigious journals such as Applied Energy, Energy and Renewable Energy.

In The Last Decade

Sheng-Xiang Lv

13 papers receiving 678 citations

Peers

Countries citing papers authored by Sheng-Xiang Lv

Since Specialization

Citations

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

Fields of papers citing papers by Sheng-Xiang Lv

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sheng-Xiang Lv. 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 Sheng-Xiang Lv. The network helps show where Sheng-Xiang Lv may publish in the future.

Co-authorship network of co-authors of Sheng-Xiang Lv

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

All Works

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14 of 14 papers shown

#	Work	Indexed citations
1	End-to-end multidimensional interpretable tourism demand combined forecasting model based on feature fusion 2025 ·Applied Intelligence ·Binrong Wu, (unknown), Sheng-Xiang Lv, Lin Wang	0
2	A Hybrid Neural Network Model for Short-Term Wind Speed Forecasting 2023 ·Energies ·Sheng-Xiang Lv, Lin Wang, Sirui Wang	13
3	Forecasting oil consumption with attention-based IndRNN optimized by adaptive differential evolution 2022 ·Applied Intelligence ·Binrong Wu, Lin Wang, Sheng-Xiang Lv, Yu‐Rong Zeng	10
4	Deep learning combined wind speed forecasting with hybrid time series decomposition and multi-objective parameter optimization 2022 ·Applied Energy ·Sheng-Xiang Lv, Lin Wang	84
5	Effective machine learning model combination based on selective ensemble strategy for time series forecasting 2022 ·Information Sciences ·Sheng-Xiang Lv, Lu Peng, Huanling Hu, Lin Wang	48
6	Multivariate wind speed forecasting based on multi-objective feature selection approach and hybrid deep learning model 2022 ·Energy ·Sheng-Xiang Lv, Lin Wang	86
7	Mechanism Linking AR-Based Presentation Mode and Consumers’ Responses: A Moderated Serial Mediation Model 2021 ·Journal of theoretical and applied electronic commerce research ·Xi Han, Feng Wang, Sheng-Xiang Lv, (unknown)	15
8	Effective electricity load forecasting using enhanced double-reservoir echo state network 2020 ·Engineering Applications of Artificial Intelligence ·Lu Peng, Sheng-Xiang Lv, Lin Wang, Ziyun Wang	18
9	Forecasting energy consumption and wind power generation using deep echo state network 2020 ·Renewable Energy ·Huanling Hu, Lin Wang, Sheng-Xiang Lv	122
10	Effective long short-term memory with fruit fly optimization algorithm for time series forecasting 2020 ·Soft Computing ·Lu Peng, Qing Zhu, Sheng-Xiang Lv, Lin Wang	67
11	Effective crude oil price forecasting using new text-based and big-data-driven model 2020 ·Measurement ·Binrong Wu, Lin Wang, Sheng-Xiang Lv, Yu‐Rong Zeng	64
12	Effective sparse adaboost method with ESN and FOA for industrial electricity consumption forecasting in China 2018 ·Energy ·Lin Wang, Sheng-Xiang Lv, Yu‐Rong Zeng	78
13	Stacked autoencoder with echo-state regression for tourism demand forecasting using search query data 2018 ·Applied Soft Computing ·Sheng-Xiang Lv, Lu Peng, Lin Wang	53
14	An effective fruit fly optimization algorithm with hybrid information exchange and its applications 2017 ·International Journal of Machine Learning and Cybernetics ·Sheng-Xiang Lv, Yu‐Rong Zeng, Lin Wang	39

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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