Huihui Yu

1.2k total citations
24 papers, 867 citations indexed

About

Huihui Yu is a scholar working on Water Science and Technology, Industrial and Manufacturing Engineering and Nature and Landscape Conservation. According to data from OpenAlex, Huihui Yu has authored 24 papers receiving a total of 867 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Water Science and Technology, 7 papers in Industrial and Manufacturing Engineering and 6 papers in Nature and Landscape Conservation. Recurrent topics in Huihui Yu's work include Water Quality Monitoring Technologies (20 papers), Water Quality Monitoring and Analysis (7 papers) and Fish Ecology and Management Studies (5 papers). Huihui Yu is often cited by papers focused on Water Quality Monitoring Technologies (20 papers), Water Quality Monitoring and Analysis (7 papers) and Fish Ecology and Management Studies (5 papers). Huihui Yu collaborates with scholars based in China and United Kingdom. Huihui Yu's co-authors include Yingyi Chen, Daoliang Li, Yeqi Liu, Chuanyang Gong, Shahbaz Gul Hassan, Ling Yang, Qian Zhang, Lihua Song, Xiaomin Fang and Ling Yang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Huihui Yu

23 papers receiving 829 citations

Peers

Huihui Yu

WST

NLC

Zhuhua Hu China

Yaochi Zhao China

Cengiz Koparan United States

Joaquín Gutiérrez Mexico

Yifan Zhang China

Roque Torres-Sánchez Spain

Ling Du China

Daming Xu China

Tianyuan Zhang China

Zhuhua Hu China

Huihui Yu

397 ×1.0

WST

88 ×0.3

59 ×0.5

NLC

107 ×1.0

197 ×1.9

Citations per year, relative to Huihui Yu Huihui Yu (= 1×) peers Zhuhua Hu

Countries citing papers authored by Huihui Yu

Since Specialization

Citations

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

Fields of papers citing papers by Huihui Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huihui Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Huihui Yu. A scholar is included among the top collaborators of Huihui Yu 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 Huihui Yu. Huihui Yu 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

Chen, Yingyi, et al.. (2025). MFSD-YOLO: A multi-scenario fish small target detection method in aquaculture. Aquacultural Engineering. 113. 102677–102677.

Yu, Huihui, et al.. (2025). EDV-CS-LinkNet: A lightweight semantic segment model of underwater fish school for real-time feeding behaviour quantification in aquaculture. Smart Agricultural Technology. 12. 101078–101078. 1 indexed citations

Yu, Huihui, et al.. (2024). SED-RCNN-BE: A SE-Dual channel RCNN network optimized binocular estimation model for automatic size estimation of free swimming fish in aquaculture. Expert Systems with Applications. 255. 124519–124519. 6 indexed citations

Yang, Ling, Yingyi Chen, Tao Shen, Huihui Yu, & Daoliang Li. (2023). A BlendMask-VoVNetV2 method for quantifying fish school feeding behavior in industrial aquaculture. Computers and Electronics in Agriculture. 211. 108005–108005. 15 indexed citations

Yu, Huihui, et al.. (2023). Deep Learning Algorithms for Sonar Imagery Analysis and Its Application in Aquaculture: A Review. IEEE Sensors Journal. 23(23). 28549–28563. 22 indexed citations

Yu, Huihui, et al.. (2023). Digital Twin for Aquaponics Factory: Analysis, Opportunities, and Research Challenges. IEEE Transactions on Industrial Informatics. 20(4). 5060–5073. 22 indexed citations

Yu, Huihui, et al.. (2023). An Automatic Detection and Counting Method for Fish Lateral Line Scales of Underwater Fish Based on Improved YOLOv5. IEEE Access. 11. 143616–143627. 12 indexed citations

Li, Daoliang, et al.. (2022). Recent advances of target tracking applications in aquaculture with emphasis on fish. Computers and Electronics in Agriculture. 201. 107335–107335. 36 indexed citations

Yu, Huihui, et al.. (2022). Automatic Detection of Peeled Shrimp Based on Image Enhancement and Convolutional Neural Networks. 439–450. 2 indexed citations

10.

Chen, Yingyi, et al.. (2022). A Method Based on Knowledge Distillation for Fish School Stress State Recognition in Intensive Aquaculture. Computer Modeling in Engineering & Sciences. 131(3). 1315–1335. 7 indexed citations

11.

Yu, Huihui, et al.. (2021). Comparison of Convolutional Neural Networks in Real-Time Monitoring of Aquaculture Water State. Journal of Physics Conference Series. 2026(1). 12020–12020. 1 indexed citations

12.

Zhang, Qian, Yeqi Liu, Chuanyang Gong, Yingyi Chen, & Huihui Yu. (2020). Applications of Deep Learning for Dense Scenes Analysis in Agriculture: A Review. Sensors. 20(5). 1520–1520. 144 indexed citations

13.

Yang, Ling, Yeqi Liu, Huihui Yu, et al.. (2020). Computer Vision Models in Intelligent Aquaculture with Emphasis on Fish Detection and Behavior Analysis: A Review. Archives of Computational Methods in Engineering. 28(4). 2785–2816. 170 indexed citations

14.

Liu, Yeqi, Huihui Yu, Chuanyang Gong, & Yingyi Chen. (2020). A real time expert system for anomaly detection of aerators based on computer vision and surveillance cameras. Journal of Visual Communication and Image Representation. 68. 102767–102767. 17 indexed citations

15.

Cheng, Qianqian, et al.. (2018). Principal component analysis and long short-term memory neural network for predicting dissolved oxygen in water for aquaculture.. Nongye gongcheng xuebao. 34(17). 183–191. 27 indexed citations

16.

Chen, Yingyi, Huihui Yu, Yanjun Cheng, Qianqian Cheng, & Daoliang Li. (2018). A hybrid intelligent method for three-dimensional short-term prediction of dissolved oxygen content in aquaculture. PLoS ONE. 13(2). e0192456–e0192456. 21 indexed citations

17.

Chen, Yingyi, et al.. (2017). Application of Fault Tree Analysis and Fuzzy Neural Networks to Fault Diagnosis in the Internet of Things (IoT) for Aquaculture. Sensors. 17(1). 153–153. 57 indexed citations

18.

Chen, Yingyi, et al.. (2016). Three-Dimensional Short-Term Prediction Model of Dissolved Oxygen Content Based on PSO-BPANN Algorithm Coupled with Kriging Interpolation. Mathematical Problems in Engineering. 2016. 1–10. 25 indexed citations

19.

Yu, Huihui, et al.. (2016). Dissolved oxygen content prediction in crab culture using a hybrid intelligent method. Scientific Reports. 6(1). 27292–27292. 37 indexed citations

20.

Yu, Huihui, Yingyi Chen, Shahbaz Gul Hassan, & Daoliang Li. (2016). Prediction of the temperature in a Chinese solar greenhouse based on LSSVM optimized by improved PSO. Computers and Electronics in Agriculture. 122. 94–102. 125 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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