Shenghui Yang

557 total citations
42 papers, 398 citations indexed

About

Shenghui Yang is a scholar working on Plant Science, Computational Mechanics and Ecology. According to data from OpenAlex, Shenghui Yang has authored 42 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Plant Science, 12 papers in Computational Mechanics and 5 papers in Ecology. Recurrent topics in Shenghui Yang's work include Plant Surface Properties and Treatments (10 papers), Smart Agriculture and AI (9 papers) and Computational Fluid Dynamics and Aerodynamics (9 papers). Shenghui Yang is often cited by papers focused on Plant Surface Properties and Treatments (10 papers), Smart Agriculture and AI (9 papers) and Computational Fluid Dynamics and Aerodynamics (9 papers). Shenghui Yang collaborates with scholars based in China, Taiwan and United States. Shenghui Yang's co-authors include Haomin Zhang, Yu Tan, Xingxing Liu, Yongjun Zheng, Xingxing Liu, Yu Herng Tan, Jian Chen, Jie Wang, C. J. Hwang and Tomás Norton and has published in prestigious journals such as Frontiers in Plant Science, AIAA Journal and Computers and Electronics in Agriculture.

In The Last Decade

Shenghui Yang

39 papers receiving 370 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shenghui Yang China	12	200	75	63	53	42	42	398
Zhu Sun China	10	264 1.3×	72 1.0×	80 1.3×	99 1.9×	38 0.9×	20	448
Songchao Zhang China	11	185 0.9×	53 0.7×	77 1.2×	27 0.5×	19 0.5×	35	319
Jiyu Li China	13	425 2.1×	59 0.8×	95 1.5×	60 1.1×	28 0.7×	41	569
Qiwei Guo China	9	335 1.7×	49 0.7×	102 1.6×	58 1.1×	52 1.2×	12	563
Feng Kang China	13	226 1.1×	93 1.2×	55 0.9×	33 0.6×	92 2.2×	57	507
Weixiang Yao China	11	327 1.6×	38 0.5×	69 1.1×	68 1.3×	37 0.9×	27	490
Shumao Wang China	13	272 1.4×	22 0.3×	73 1.2×	31 0.6×	33 0.8×	41	465
Sheng Wen China	12	315 1.6×	53 0.7×	55 0.9×	41 0.8×	72 1.7×	31	518
Peng Qi China	9	246 1.2×	40 0.5×	43 0.7×	34 0.6×	34 0.8×	24	301
Shibbir Ahmed China	8	163 0.8×	35 0.5×	48 0.8×	70 1.3×	13 0.3×	8	312

Countries citing papers authored by Shenghui Yang

Since Specialization

Citations

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

Fields of papers citing papers by Shenghui Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shenghui Yang

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

1.

Yang, Shenghui, et al.. (2025). Modelling and application of fluid-structure interaction in the study of wind fields and crops interaction: A review. Computers and Electronics in Agriculture. 238. 110821–110821.

2.

Yang, Shenghui, et al.. (2024). Deep learning method for leaf-density estimation based on wind-excited audio of fruit-tree canopies. Computers and Electronics in Agriculture. 222. 109062–109062. 2 indexed citations

3.

Yang, Shenghui, et al.. (2024). Leaf‐density estimation for fruit‐tree canopy based on wind‐excited audio. Journal of Field Robotics. 41(5). 1469–1479. 3 indexed citations

4.

Li, Wen‐Wei, Feng Han, Jiawei Xu, et al.. (2023). Overall integrated navigation based on satellite and lidar in the standardized tall spindle apple orchards. Computers and Electronics in Agriculture. 216. 108489–108489. 9 indexed citations

5.

Yang, Shenghui, et al.. (2023). Light efficacy estimation for fruit trees based on LIDAR point clouds: A case study on pear trees. Scientia Horticulturae. 324. 112590–112590. 3 indexed citations

6.

Yang, Shenghui, et al.. (2023). Back pressure generated by downwash and crosswind on spatial atomization characteristics during UAV spraying: CFD analysis and verification. Pest Management Science. 80(3). 1348–1360. 6 indexed citations

7.

Yang, Shenghui, et al.. (2023). Factors Affecting Droplet Loss behind Canopies with Air-Assisted Sprayers Used for Fruit Trees. Agronomy. 13(2). 375–375. 6 indexed citations

8.

Yang, Shenghui, et al.. (2023). Realization of superhuman intelligence in microstrip filter design based on clustering-reinforcement learning. Applied Intelligence. 53(19). 22938–22951. 2 indexed citations

9.

Yang, Shenghui, et al.. (2022). Wind field and droplet coverage characteristics of air‐assisted sprayer in mango‐tree canopies. Pest Management Science. 78(11). 4892–4904. 14 indexed citations

10.

Yang, Shenghui, et al.. (2022). Stereoscopic plant-protection system integrating UAVs and autonomous ground sprayers for orchards. Frontiers in Plant Science. 13. 1040808–1040808. 8 indexed citations

11.

Zhang, Ran, et al.. (2021). Time‐frequency synchroextracting transform. IET Signal Processing. 16(2). 117–131. 15 indexed citations

12.

Yang, Shenghui, Qing Tang, Yongjun Zheng, et al.. (2020). Model migration for CFD and verification of a six-rotor UAV downwash. International journal of agricultural and biological engineering. 13(4). 10–18. 2 indexed citations

13.

Yang, Shenghui, Qing Tang, Yongjun Zheng, et al.. (2020). Model migration for CFD and verification of a six-rotor UAV downwash. International journal of agricultural and biological engineering. 13(4). 10–18. 20 indexed citations

14.

Yang, Shenghui & Haomin Zhang. (2018). Comparison of Several Data Mining Methods in Credit Card Default Prediction. Intelligent Information Management. 10(5). 115–122. 27 indexed citations

15.

Yang, Shenghui, Xingxing Liu, Jie Wang, et al.. (2018). The computational fluid dynamic modeling of downwash flow field for a six-rotor UAV. Frontiers of Agricultural Science and Engineering. 0(0). 0–0. 67 indexed citations

16.

Yang, Shenghui, et al.. (2017). Modelling operation parameters of UAV on spray effects at different growth stages of corns. International journal of agricultural and biological engineering. 10(3). 57–66. 37 indexed citations

17.

Yang, Shenghui, Yubin Lan, Chunjiang Zhao, et al.. (2017). A novel detection method of spray droplet distribution based on LIDARs. International journal of agricultural and biological engineering. 10(4). 54–65. 11 indexed citations

18.

Yang, Shenghui, et al.. (2007). Numerical Study of Turbulent Flows Over Vibrating Blades with Positive Interblade Phase Angle. Journal of Mechanics. 23(2). 149–158.

19.

Hwang, C. J. & Shenghui Yang. (1994). Viscous Solutions for Transonic Oscillating Cascade Flows Using Dynamic Quadrilateral-Triangular Meshes. Volume 1: Turbomachinery. 1 indexed citations

20.

Hwang, C. J. & Shenghui Yang. (1993). Locally implicit total variation diminishing schemes on mixed quadrilateral-triangular meshes. AIAA Journal. 31(11). 2008–2015. 12 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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