Liangping Wu

425 citations
11 papers · 265 · h-index 6

Impact in

Papers in

Liangping Wu

10 papers receiving 240 citations

Peers

Liangping Wu
Comparison fields: 5 of 47
  • Management Science and Operations Research 214
  • Statistics and Probability 69
  • Control and Systems Engineering 106
  • Ecological Modeling 13
  • Computational Theory and Mathematics 46
Replace Ding-Hong Peng with:
Ding-Hong Peng China
Farzad Haghighirad Iran
Hengxia Gao China
N. Halouani Tunisia
Qiang Cai China
Xiaomin Zhu China
Ze-Ling Wang China
Rashed Khanjani Shiraz Iran
Huanhuan Jin China
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Liangping Wu relative to Ding-Hong Peng China Ding-Hong Peng's profile →
Citations per field
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Citations per year

Countries citing papers authored by Liangping Wu

Since Specialization
Citations

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

Fields of papers citing papers by Liangping Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Liangping 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 Liangping Wu Line = papers co-authored together Liangping Wu links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 201980
2 201880
3 202070
4 202118
5
Spatial econometric modeling and the influencing factor effects of inbound tourism development in China's provincial regions.
20205
6 20225
7 20143
8 20222
9
Inbound tourism based on China's inbound tourism receipts that eliminated the direct price effect.
20131
10 20241
11
Research on the dynamic distributions of inbound tourists in China's regions and dynamic distribution forecasts based on the ARIMA model with the dummy variables.
20150

About Liangping Wu

Liangping Wu is a scholar working on Management Science and Operations Research, Sociology and Political Science, Strategy and Management, Artificial Intelligence and Transportation, having authored 11 papers that have together received 265 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (4 papers), Diverse Aspects of Tourism Research (3 papers), Regional Economic and Spatial Analysis (2 papers), Sustainable Supply Chain Management (2 papers), Intuitionistic Fuzzy Systems Applications (2 papers), Grey System Theory Applications (2 papers), Cruise Tourism Development and Management (2 papers) and Supply Chain and Inventory Management (1 paper). The work is most often cited by research in Management Science and Operations Research (214 citations), Statistics and Probability (69 citations), Control and Systems Engineering (106 citations), Ecological Modeling (13 citations) and Computational Theory and Mathematics (46 citations). Liangping Wu has collaborated with scholars based in China. Frequent co-authors include Hui Gao, Guiwu Wei, Yu Wei, Jiang Wu, Cun Wei, Yi Ding, Jian Zhang, Jian Zhang, Jianmin Hu and Jian Zhang. Their work appears in journals such as International Journal of Environmental Research and Public Health, Journal of Intelligent & Fuzzy Systems, Current Issues in Tourism, Soft Computing and Computers & Operations 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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