Fengyun Wu

768 total citations · 2 hit papers
17 papers, 591 citations indexed

About

Fengyun Wu is a scholar working on Plant Science, Industrial and Manufacturing Engineering and Control and Systems Engineering. According to data from OpenAlex, Fengyun Wu has authored 17 papers receiving a total of 591 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Plant Science, 4 papers in Industrial and Manufacturing Engineering and 3 papers in Control and Systems Engineering. Recurrent topics in Fengyun Wu's work include Smart Agriculture and AI (11 papers), Industrial Vision Systems and Defect Detection (4 papers) and Spectroscopy and Chemometric Analyses (3 papers). Fengyun Wu is often cited by papers focused on Smart Agriculture and AI (11 papers), Industrial Vision Systems and Defect Detection (4 papers) and Spectroscopy and Chemometric Analyses (3 papers). Fengyun Wu collaborates with scholars based in China, Australia and United Kingdom. Fengyun Wu's co-authors include Xiangjun Zou, Zhou Yang, Jieli Duan, Lei Ye, Lanhui Fu, Siyu Chen, Zhaoyi Chen, Chunjiang Li, Wei Tang and Zihao Wu and has published in prestigious journals such as PLoS ONE, Scientific Reports and Frontiers in Plant Science.

In The Last Decade

Fengyun Wu

14 papers receiving 584 citations

Hit Papers

Path planning for mobile ... 2023 2026 2024 2023 2024 25 50 75
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Path planning for mobile robots in unstructured orchard environments: An improved kinematically constrained bi-directional RRT approach
    2023 90 citations Lei Ye, Fengyun Wu et al. Computers and Electronics in Agriculture profile →
  2. A lightweight improved YOLOv5s model and its deployment for detecting pitaya fruits in daytime and nighttime light-supplement environments
    2024 77 citations Hongwei Li, Deqiang He et al. Computers and Electronics in Agriculture profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fengyun Wu China 10 406 132 114 76 52 17 591
Jiqing Chen China 14 420 1.0× 114 0.9× 93 0.8× 51 0.7× 45 0.9× 34 598
Hongjun Wang China 13 445 1.1× 114 0.9× 111 1.0× 83 1.1× 62 1.2× 45 692
Bin Yan China 8 313 0.8× 145 1.1× 74 0.6× 76 1.0× 56 1.1× 16 569
Pan Fan China 6 316 0.8× 142 1.1× 75 0.7× 74 1.0× 55 1.1× 11 574
Yuhao Bai China 11 334 0.8× 82 0.6× 160 1.4× 46 0.6× 79 1.5× 18 599
Zhihua Diao China 12 428 1.1× 92 0.7× 160 1.4× 48 0.6× 50 1.0× 33 645
Kailiang Zhang China 8 531 1.3× 85 0.6× 143 1.3× 73 1.0× 72 1.4× 25 722
Guangzhao Tian China 11 403 1.0× 71 0.5× 152 1.3× 40 0.5× 76 1.5× 22 669

Countries citing papers authored by Fengyun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Fengyun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengyun Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Fengyun Wu. A scholar is included among the top collaborators of Fengyun 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 Fengyun Wu. Fengyun Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Wang, Guoqiang, et al.. (2025). Palm vision and servo control strategy of tomato picking robot based on global positioning. Computers and Electronics in Agriculture. 237. 110668–110668. 1 indexed citations
2.
Zou, Xiangjun, et al.. (2025). Multi-task perception and three-dimensional picking point localization method for grapes based on structural constraints and geometric analysis. Computers and Electronics in Agriculture. 238. 110814–110814.
3.
Zhu, Rong, et al.. (2025). Deep spatio-temporal dependent convolutional LSTM network for traffic flow prediction. Scientific Reports. 15(1). 11743–11743. 1 indexed citations
4.
Wu, Fengyun, Rong Zhu, Meng Fan, et al.. (2024). An Enhanced Cycle Generative Adversarial Network Approach for Nighttime Pineapple Detection of Automated Harvesting Robots. Agronomy. 14(12). 3002–3002. 12 indexed citations
5.
6.
Li, Hongwei, Deqiang He, Xicheng Wang, et al.. (2024). A lightweight improved YOLOv5s model and its deployment for detecting pitaya fruits in daytime and nighttime light-supplement environments. Computers and Electronics in Agriculture. 220. 108914–108914. 77 indexed citations breakdown →
7.
Wu, Fengyun, et al.. (2023). Grape-Bunch Identification and Location of Picking Points on Occluded Fruit Axis Based on YOLOv5-GAP. Horticulturae. 9(4). 498–498. 20 indexed citations
8.
9.
Li, Shaoqiang, et al.. (2023). Empirical insights into industrial policy’s influence on phytoprotection innovation. Frontiers in Plant Science. 14. 1295320–1295320.
10.
Wu, Fengyun, Zhou Yang, Zihao Wu, et al.. (2023). Detection and counting of banana bunches by integrating deep learning and classic image-processing algorithms. Computers and Electronics in Agriculture. 209. 107827–107827. 70 indexed citations
11.
Ye, Lei, et al.. (2023). Path planning for mobile robots in unstructured orchard environments: An improved kinematically constrained bi-directional RRT approach. Computers and Electronics in Agriculture. 215. 108453–108453. 90 indexed citations breakdown →
12.
Fu, Lanhui, Zhou Yang, Fengyun Wu, et al.. (2022). YOLO-Banana: A Lightweight Neural Network for Rapid Detection of Banana Bunches and Stalks in the Natural Environment. Agronomy. 12(2). 391–391. 56 indexed citations
13.
Wu, Fengyun, et al.. (2022). Rachis detection and three-dimensional localization of cut off point for vision-based banana robot. Computers and Electronics in Agriculture. 198. 107079–107079. 80 indexed citations
14.
Wu, Fengyun, et al.. (2022). Grape Bunch Identification and Location of Picking Points on Occluded Fruit Axis Based on Yolov5-Gap. SSRN Electronic Journal. 2 indexed citations
15.
Wang, Lei, et al.. (2022). 7‐3: OLED Camera‐Under Panels with Improved Imaging Quality. SID Symposium Digest of Technical Papers. 53(1). 51–53. 4 indexed citations
16.
Fu, Lanhui, et al.. (2022). Fast detection of banana bunches and stalks in the natural environment based on deep learning. Computers and Electronics in Agriculture. 194. 106800–106800. 51 indexed citations
17.
Wu, Fengyun, et al.. (2021). Multi-Target Recognition of Bananas and Automatic Positioning for the Inflorescence Axis Cutting Point. Frontiers in Plant Science. 12. 705021–705021. 77 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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