Huarui Wu

1.4k total citations · 1 hit paper
74 papers, 1.0k citations indexed

About

Huarui Wu is a scholar working on Plant Science, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Huarui Wu has authored 74 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Plant Science, 20 papers in Computer Networks and Communications and 18 papers in Electrical and Electronic Engineering. Recurrent topics in Huarui Wu's work include Smart Agriculture and AI (27 papers), Energy Efficient Wireless Sensor Networks (13 papers) and Plant Disease Management Techniques (8 papers). Huarui Wu is often cited by papers focused on Smart Agriculture and AI (27 papers), Energy Efficient Wireless Sensor Networks (13 papers) and Plant Disease Management Techniques (8 papers). Huarui Wu collaborates with scholars based in China, Fiji and United States. Huarui Wu's co-authors include Chunjiang Zhao, Chun‐Shan Wang, Huaji Zhu, Jiuxi Li, Guifa Teng, Pengfei Du, Ronghua Gao, Ji Zhou, Yuan Yuan and Lei Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Huarui Wu

68 papers receiving 985 citations

Hit Papers

A cucumber leaf disease severity classification method ba... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huarui Wu China 15 648 202 117 105 89 74 1.0k
Zhaohui Jiang China 14 382 0.6× 133 0.7× 63 0.5× 71 0.7× 75 0.8× 49 816
Xihai Zhang China 11 582 0.9× 248 1.2× 218 1.9× 152 1.4× 91 1.0× 39 992
Vinay Gautam India 14 595 0.9× 211 1.0× 27 0.2× 53 0.5× 89 1.0× 90 881
Yanzhou Li China 16 407 0.6× 133 0.7× 82 0.7× 167 1.6× 155 1.7× 60 996
Shujuan Yi China 14 734 1.1× 379 1.9× 119 1.0× 24 0.2× 102 1.1× 93 1.3k
Long He United States 19 761 1.2× 122 0.6× 40 0.3× 37 0.4× 143 1.6× 68 996
Yahui Hu China 22 958 1.5× 366 1.8× 44 0.4× 38 0.4× 123 1.4× 66 1.3k
Ece Olcay Güneş Türkiye 16 457 0.7× 193 1.0× 266 2.3× 49 0.5× 78 0.9× 68 910
Guillermo L. Grinblat Argentina 10 510 0.8× 194 1.0× 33 0.3× 63 0.6× 149 1.7× 13 880
Yue Qiao United States 6 448 0.7× 229 1.1× 148 1.3× 80 0.8× 68 0.8× 7 639

Countries citing papers authored by Huarui Wu

Since Specialization
Citations

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

Fields of papers citing papers by Huarui Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huarui Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Huarui Wu. A scholar is included among the top collaborators of Huarui Wu 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 Huarui Wu. Huarui Wu 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.
Wu, Huarui, et al.. (2025). A review on enhancing agricultural intelligence with large language models. Artificial Intelligence in Agriculture. 15(4). 671–685. 1 indexed citations
3.
Wu, Huarui, et al.. (2024). VEG-MMKG: Multimodal knowledge graph construction for vegetables based on pre-trained model extraction. Computers and Electronics in Agriculture. 226. 109398–109398. 6 indexed citations
4.
Wu, Huarui, et al.. (2024). A Study of Kale Recognition Based on Semantic Segmentation. Agronomy. 14(5). 894–894. 3 indexed citations
5.
Han, Xiao, et al.. (2024). Scheduling of Collaborative Vegetable Harvesters and Harvest-Aid Vehicles on Farms. Agriculture. 14(9). 1600–1600. 2 indexed citations
6.
Li, Jingchen, et al.. (2024). Cournot Policy Model: Rethinking centralized training in multi-agent reinforcement learning. Information Sciences. 677. 120983–120983. 1 indexed citations
7.
Zhang, Lijie, et al.. (2024). Chinese named entity recognition for agricultural diseases based on entity-related visual prompts injection. Computers and Electronics in Agriculture. 227. 109493–109493. 5 indexed citations
8.
Chen, Xiao, et al.. (2023). Multi-Objective Optimization of Integrated Crop–Livestock Systems: Exploring Resource Allocation Based on Emergy Evaluation. Sustainability. 15(11). 8771–8771. 1 indexed citations
9.
Wu, Huarui, Chang Liu, & Chunjiang Zhao. (2023). Personalized agricultural knowledge services: a framework for privacy-protected user portraits and efficient recommendation. The Journal of Supercomputing. 80(5). 6336–6355. 1 indexed citations
10.
Zhang, Feng, et al.. (2023). A Novel Standardized Collaborative Online Model for Processing and Analyzing Remotely Sensed Images in Geographic Problems. Electronics. 12(21). 4394–4394. 1 indexed citations
11.
Zhao, Chunjiang, et al.. (2022). A Vegetable Leaf Disease Identification Model Based on Image-Text Cross-Modal Feature Fusion. Frontiers in Plant Science. 13. 918940–918940. 13 indexed citations
12.
Wang, Chun‐Shan, Ji Zhou, Yan Zhang, et al.. (2022). A Plant Disease Recognition Method Based on Fusion of Images and Graph Structure Text. Frontiers in Plant Science. 12. 731688–731688. 12 indexed citations
13.
Zhang, Yan, Huarui Wu, & Xiaomin Wang. (2021). Rapid Recognition of Tomato’s Disease Stages Based on the Kernel Mutual Subspace Method. Applied Engineering in Agriculture. 37(5). 793–804. 4 indexed citations
14.
Zhao, Chunjiang, et al.. (2021). Non-uniform clustering routing protocol of wheat farmland based on effective energy consumption. International journal of agricultural and biological engineering. 14(3). 142–150. 7 indexed citations
15.
Zhang, Yan, Qingxue Li, & Huarui Wu. (2020). Rapid Recognition Model of Tomato Leaf Diseases based on Kernel Mutual Subspace Method. SHILAP Revista de lepidopterología. 2 indexed citations
16.
Wu, Huarui, et al.. (2018). The Accurate Location Estimation of Sensor Node Using Received Signal Strength Measurements in Large-Scale Farmland. Journal of Sensors. 2018. 1–10. 21 indexed citations
17.
Wang, Zhihai, et al.. (2017). Cow behavior recognition based on image analysis and activities. International journal of agricultural and biological engineering. 10(3). 165–174. 25 indexed citations
18.
Wu, Huarui, et al.. (2017). Recognition Method of Abnormal Data Based on Interval Estimation. DEStech Transactions on Engineering and Technology Research. 1 indexed citations
19.
Zhu, Li, Chunxiao Fan, Huarui Wu, & Zhigang Wen. (2016). Coverage Optimization Algorithm of Wireless Sensor Network Based on Mobile Nodes. International Journal of Online and Biomedical Engineering (iJOE). 12(8). 45–50. 11 indexed citations
20.
Wu, Huarui. (2007). Framework and research of believable network. Jisuanji gongcheng yu sheji. 1 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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