Shaolong Sun

4.5k total citations · 1 hit paper
96 papers, 3.3k citations indexed

About

Shaolong Sun is a scholar working on Management Science and Operations Research, Electrical and Electronic Engineering and Sociology and Political Science. According to data from OpenAlex, Shaolong Sun has authored 96 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Management Science and Operations Research, 32 papers in Electrical and Electronic Engineering and 28 papers in Sociology and Political Science. Recurrent topics in Shaolong Sun's work include Energy Load and Power Forecasting (32 papers), Diverse Aspects of Tourism Research (25 papers) and Grey System Theory Applications (17 papers). Shaolong Sun is often cited by papers focused on Energy Load and Power Forecasting (32 papers), Diverse Aspects of Tourism Research (25 papers) and Grey System Theory Applications (17 papers). Shaolong Sun collaborates with scholars based in China, Hong Kong and Slovakia. Shaolong Sun's co-authors include Shouyang Wang, Yunjie Wei, Yongwu Li, Mingfei Niu, Hongtao Li, Ju’e Guo, Kwok‐Leung Tsui, Chengyuan Zhang, Erlong Zhao and Yufang Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Applied Energy.

In The Last Decade

Shaolong Sun

93 papers receiving 3.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Forecasting tourist arrivals with machine learning and internet search index

2018 264 citations Shaolong Sun, Shouyang Wang et al. Tourism Management profile →

Peers

Shaolong Sun

EEE

MSOR

D. Diakoulaki Greece

Haixiang Guo China

Kaile Zhou China

Quande Qin China

Huiru Zhao China

Ping‐Feng Pai Taiwan

Yunna Wu China

Durga Toshniwal India

Zhongfu Tan China

Yingjie Yang United Kingdom

D. Diakoulaki Greece

Shaolong Sun

574 ×0.5

EEE

1.2k ×1.3

MSOR

1.1k ×1.4

1.1k ×1.6

250 ×0.4

Citations per year, relative to Shaolong Sun Shaolong Sun (= 1×) peers D. Diakoulaki

Countries citing papers authored by Shaolong Sun

Since Specialization

Citations

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

Fields of papers citing papers by Shaolong Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaolong Sun

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

All Works

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20 of 20 papers shown

Sun, Shaolong, et al.. (2025). Unlocking the power of multimodal online reviews: A multisensory perspective. Tourism Management. 111. 105206–105206. 1 indexed citations

Li, Hongtao, et al.. (2025). Spatio–temporal graph hierarchical learning framework for metro passenger flow prediction across stations and lines. Knowledge-Based Systems. 311. 113132–113132.

Li, Hongtao, et al.. (2025). Tourism demand point-interval forecasting using global–local information extraction network. Information Processing & Management. 62(5). 104161–104161. 1 indexed citations

Liu, Wenzheng, et al.. (2024). Dynamic Spatio-Temporal Graph Fusion Network modeling for urban metro ridership prediction. Information Fusion. 117. 102845–102845.

Zhang, Haina, et al.. (2024). High-speed rail passenger flow prediction based on crossformer and quantile regression: A deep learning approach assisted by internet search indices. Measurement. 242. 116189–116189. 2 indexed citations

Zhao, Erlong, et al.. (2024). How user-generated content influence different types of travelers to select hotels? A perspective with prospect theory. Information Processing & Management. 62(3). 104049–104049. 2 indexed citations

Sun, Shaolong, et al.. (2024). A Novel Multistep Ahead PM$_{2.5}$ Forecasting Approach Using Spatial–Temporal Attention Network. IEEE Transactions on Industrial Informatics. 20(7). 9761–9770. 1 indexed citations

Wu, Jing, et al.. (2024). What makes a better hotel selection? A hybrid approach considering tourists’ preference and review helpfulness. Current Issues in Tourism. 28(10). 1570–1594. 3 indexed citations

Xu, Haozhe, et al.. (2024). Let pictures speak: hotel selection-recommendation method with cognitive image attribute-enhanced knowledge graphs. International Journal of Contemporary Hospitality Management. 36(12). 4296–4318. 4 indexed citations

10.

Sun, Shaolong, Lintao Wang, Erlong Zhao, & Shouyang Wang. (2024). How do tourists perceive churches as tourism destinations? A text mining approach through online reviews. International Journal of Tourism Research. 26(4). 3 indexed citations

11.

Wu, Jing, Mingchen Li, Erlong Zhao, Shaolong Sun, & Shouyang Wang. (2023). Can multi-source heterogeneous data improve the forecasting performance of tourist arrivals amid COVID-19? Mixed-data sampling approach. Tourism Management. 98. 104759–104759. 34 indexed citations

12.

Li, Yanzhao, et al.. (2023). Daily tourism demand forecasting before and during COVID-19: data predictivity and an improved decomposition-ensemble framework. Current Issues in Tourism. 27(8). 1208–1228. 8 indexed citations

13.

Li, Hongtao, et al.. (2023). A multi-step ahead point-interval forecasting system for hourly PM2.5 concentrations based on multivariate decomposition and kernel density estimation. Expert Systems with Applications. 226. 120140–120140. 26 indexed citations

14.

Li, Yanzhao, et al.. (2023). Regional tourism demand forecasting with spatiotemporal interactions: a multivariate decomposition deep learning model. Asia Pacific Journal of Tourism Research. 28(6). 625–646. 5 indexed citations

15.

Li, Yanzhao, Ju’e Guo, Shaolong Sun, et al.. (2022). Air quality forecasting with artificial intelligence techniques: A scientometric and content analysis. Environmental Modelling & Software. 149. 105329–105329. 40 indexed citations

16.

Guo, Ju’e, et al.. (2022). Short-term load forecasting with an improved dynamic decomposition-reconstruction-ensemble approach. Energy. 263. 125609–125609. 46 indexed citations

17.

Li, Yanzhao, et al.. (2022). How time-inconsistent preferences influence venture capital exit decisions? A new perspective for grandstanding. Financial Innovation. 8(1). 24 indexed citations

18.

Li, Mingchen, Chengyuan Zhang, Shouyang Wang, & Shaolong Sun. (2022). Multi-scale analysis-driven tourism forecasting: insights from the peri-COVID-19. Current Issues in Tourism. 26(19). 3231–3254. 7 indexed citations

19.

Zhang, Chengyuan, Mingchen Li, Shaolong Sun, Ling Tang, & Shouyang Wang. (2021). Decomposition Methods for Tourism Demand Forecasting: A Comparative Study. Journal of Travel Research. 61(7). 1682–1699. 24 indexed citations

20.

Sun, Shaolong, Yanzhao Li, Shouyang Wang, & Ju’e Guo. (2020). Tourism Demand Forecasting with Tourist Attention: An Ensemble Deep Learning Approach.. arXiv (Cornell University). 2 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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