Weisong Mu

1.6k total citations
69 papers, 1.1k citations indexed

About

Weisong Mu is a scholar working on Plant Science, Food Science and Tourism, Leisure and Hospitality Management. According to data from OpenAlex, Weisong Mu has authored 69 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Plant Science, 19 papers in Food Science and 12 papers in Tourism, Leisure and Hospitality Management. Recurrent topics in Weisong Mu's work include Horticultural and Viticultural Research (16 papers), Wine Industry and Tourism (12 papers) and Smart Agriculture and AI (9 papers). Weisong Mu is often cited by papers focused on Horticultural and Viticultural Research (16 papers), Wine Industry and Tourism (12 papers) and Smart Agriculture and AI (9 papers). Weisong Mu collaborates with scholars based in China, Netherlands and United Kingdom. Weisong Mu's co-authors include Jianying Feng, Dong Tian, Xiaoshuan Zhang, Xiaoquan Chu, Zetian Fu, Yue Li, Jian Zhang, Feng Wang, Xinxin Zhang and C.E. van Middelaar and has published in prestigious journals such as Journal of Cleaner Production, Expert Systems with Applications and Energy.

In The Last Decade

Weisong Mu

68 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weisong Mu China 18 364 320 104 100 98 69 1.1k
Sandeep Jagtap United Kingdom 25 612 1.7× 237 0.7× 158 1.5× 46 0.5× 116 1.2× 90 2.0k
Søren Marcus Pedersen Denmark 21 208 0.6× 686 2.1× 22 0.2× 39 0.4× 155 1.6× 62 1.7k
Yamine Bouzembrak Netherlands 23 776 2.1× 245 0.8× 44 0.4× 128 1.3× 79 0.8× 43 1.8k
Ismail Uysal United States 17 872 2.4× 339 1.1× 48 0.5× 117 1.2× 134 1.4× 63 1.7k
Mario Lezoche France 13 194 0.5× 174 0.5× 74 0.7× 112 1.1× 34 0.3× 35 1.4k
Jorge E. Hernández Spain 17 232 0.6× 184 0.6× 93 0.9× 67 0.7× 34 0.3× 59 1.2k
M. M. E. Alemany Spain 16 379 1.0× 196 0.6× 66 0.6× 59 0.6× 46 0.5× 95 1.3k
J. René Villalobos United States 21 523 1.4× 180 0.6× 84 0.8× 41 0.4× 79 0.8× 87 2.1k
Dong Tian China 14 81 0.2× 304 0.9× 65 0.6× 63 0.6× 40 0.4× 41 785
Ashis Kumar Chakraborty India 21 83 0.2× 482 1.5× 33 0.3× 64 0.6× 185 1.9× 81 1.5k

Countries citing papers authored by Weisong Mu

Since Specialization
Citations

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

Fields of papers citing papers by Weisong Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weisong Mu

This figure shows the co-authorship network connecting the top 25 collaborators of Weisong Mu. A scholar is included among the top collaborators of Weisong Mu 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 Weisong Mu. Weisong Mu 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
1.
Mu, Weisong, et al.. (2024). Segmentation of Chinese consumer preference for wine extrinsic attributes based on stratification and weighted clustering algorithm. Food Research International. 196. 115097–115097. 2 indexed citations
2.
Zhang, Xinxin & Weisong Mu. (2024). GMamba: State space model with convolution for Grape leaf disease segmentation. Computers and Electronics in Agriculture. 225. 109290–109290. 13 indexed citations
3.
Zhang, Xinxin, et al.. (2024). UPFormer: U-sharped Perception lightweight Transformer for segmentation of field grape leaf diseases. Expert Systems with Applications. 249. 123546–123546. 18 indexed citations
4.
Zhang, Xinxin, et al.. (2023). Local Reversible Transformer for semantic segmentation of grape leaf diseases. Applied Soft Computing. 143. 110392–110392. 10 indexed citations
5.
Chu, Xiaoquan, et al.. (2023). Learning multiple attention transformer super-resolution method for grape disease recognition. Expert Systems with Applications. 241. 122717–122717. 17 indexed citations
6.
Shi, Yan, et al.. (2023). Modeling of farmers’ production performance portrait based on GASA-WFCM clustering. Computers and Electronics in Agriculture. 214. 108320–108320.
7.
Zhang, Xinxin, et al.. (2023). CRFormer: Cross-Resolution Transformer for segmentation of grape leaf diseases with context mining. Expert Systems with Applications. 229. 120324–120324. 16 indexed citations
8.
Liu, Tianqi, et al.. (2023). Chinese consumers’ attribute preference prediction for table grapes. Italian Journal of Food Science. 35(4). 147–158. 3 indexed citations
9.
Li, Xin, et al.. (2020). Progress and trend of fruit detection by intelligent sensory technology.. Nanfang nongye xuebao. 51(3). 636–644. 1 indexed citations
10.
Mu, Weisong, et al.. (2018). INFLUENCING FACTORS ON CHINESE WINE CONSUMERS’ BEHAVIOR UNDER DIFFERENT PURCHASING MOTIVATIONS BASED ON A MULTI-CLASSIFICATION METHOD. Italian Journal of Food Science. 30(4). 7 indexed citations
11.
Mu, Weisong, et al.. (2017). PROFILING WINE CONSUMERS BY PRICE SEGMENT: A CASE STUDY IN BEIJING, CHINA. Italian Journal of Food Science. 29(3). 6 indexed citations
12.
Mu, Weisong, Chengcheng Li, Yang Gao, & Jianying Feng. (2016). REAEARCH ON THE SPATIAL FEATURES OF GRAPE PRODUCTION IN CHINA. 37(2). 176. 2 indexed citations
13.
Feng, Jianying, Peng Lu, Weisong Mu, Xiaoshuan Zhang, & Zetian Fu. (2011). Farmers' brand perception toward agricultural machinery in China. African Journal of Agricultural Research. 6(8). 1966–1971. 4 indexed citations
14.
Zhang, Xiaoshuan, et al.. (2010). Method of traceability information acquisition and transmission for beef cattle sector based on PDA and FSM.. Nongye gongcheng xuebao. 26(1). 227–231. 3 indexed citations
15.
Mu, Weisong. (2010). Design and implementation of beef cattle breeding traceability system based on PDA. Microcomputer Information. 1 indexed citations
16.
Zhang, Jian, Lu Liu, Weisong Mu, Liliana Mihaela Moga, & Xiaoshuan Zhang. (2009). Development of temperature-managed traceability system for frozen and chilled food during storage and transportation.. Journal of Food Agriculture & Environment. 7. 28–31. 49 indexed citations
17.
Wang, Feng, Zetian Fu, Weisong Mu, Liliana Mihaela Moga, & Xiaoshuan Zhang. (2009). Adoption of traceability system in Chinese fishery process enterprises: Difficulties, incentives and performance. Journal of Food Agriculture & Environment. 7(2). 64–69. 11 indexed citations
18.
Zhang, Lingxian, Daoliang Li, Weisong Mu, Jun Yue, & Zetian Fu. (2007). Analysing levels of China's agricultural domestic support with an optimising model. New Zealand Journal of Agricultural Research. 50(5). 647–654. 2 indexed citations
19.
Mu, Weisong, et al.. (2007). A structural model for analysis of fruit supply and demand applied to grapes in China. New Zealand Journal of Agricultural Research. 50(5). 1359–1365. 1 indexed citations
20.
Mu, Weisong. (2005). An Optimization Model for Levels of China Agricultural Domestic Support within WTO Framework. Systems Engineering - Theory & Practice. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026