Shifeng Dong

833 total citations
24 papers, 571 citations indexed

About

Shifeng Dong is a scholar working on Plant Science, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Shifeng Dong has authored 24 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 10 papers in Computer Vision and Pattern Recognition and 3 papers in Control and Systems Engineering. Recurrent topics in Shifeng Dong's work include Smart Agriculture and AI (16 papers), Date Palm Research Studies (11 papers) and Advanced Neural Network Applications (8 papers). Shifeng Dong is often cited by papers focused on Smart Agriculture and AI (16 papers), Date Palm Research Studies (11 papers) and Advanced Neural Network Applications (8 papers). Shifeng Dong collaborates with scholars based in China and United Kingdom. Shifeng Dong's co-authors include Lin Jiao, Rujing Wang, Chengjun Xie, Hongqiang Wang, Kang Liu, Jianming Du, Guangcai Zhang, Rui Li, Yang Jin and Yue Teng and has published in prestigious journals such as Expert Systems with Applications, Frontiers in Plant Science and Neurocomputing.

In The Last Decade

Shifeng Dong

24 papers receiving 548 citations

Peers

Shifeng Dong
Lin Jiao China
Shifeng Dong
Citations per year, relative to Shifeng Dong Shifeng Dong (= 1×) peers Lin Jiao

Countries citing papers authored by Shifeng Dong

Since Specialization
Citations

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

Fields of papers citing papers by Shifeng Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shifeng Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Shifeng Dong. A scholar is included among the top collaborators of Shifeng Dong 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 Shifeng Dong. Shifeng Dong 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.
Li, Gaoqiang, Lin Jiao, Peng Chen, et al.. (2023). Spatial convolutional self-attention-based transformer module for strawberry disease identification under complex background. Computers and Electronics in Agriculture. 212. 108121–108121. 32 indexed citations
3.
Dong, Shifeng, Yue Teng, Lin Jiao, et al.. (2023). ESA-Net: An efficient scale-aware network for small crop pest detection. Expert Systems with Applications. 236. 121308–121308. 18 indexed citations
4.
Wang, Xiaodong, Jianming Du, Chengjun Xie, et al.. (2023). Prior knowledge auxiliary for few-shot pest detection in the wild. Frontiers in Plant Science. 13. 1033544–1033544. 11 indexed citations
5.
Wang, Rujing, et al.. (2023). OSAF-Net: A one-stage anchor-free detector for small-target crop pest detection. Applied Intelligence. 53(21). 24895–24907. 5 indexed citations
6.
Dong, Shifeng, Rujing Wang, Jianming Du, & Lin Jiao. (2023). Enhancement-fusion feature pyramid network for object detection. Journal of Electronic Imaging. 32(1). 4 indexed citations
7.
Liu, Kang, Po Yang, Lin Jiao, et al.. (2023). Antisaturation fixed-time attitude tracking control based low-computation learning for uncertain quadrotor UAVs with external disturbances. Aerospace Science and Technology. 142. 108668–108668. 29 indexed citations
8.
Wang, Rujing, Zhigui Liu, Lin Jiao, et al.. (2023). MCUNet: Multidimensional cognition UNet for multi-class maize pest image segmentation. 340–346. 1 indexed citations
9.
Wang, Rujing, et al.. (2023). EACT-Det: An Efficient Adjusting Criss-cross windows Transformer Embedding Pyramid Networks for Similar Disease Detection. Multimedia Tools and Applications. 83(18). 55683–55707. 2 indexed citations
10.
Jiao, Lin, Gaoqiang Li, Peng Chen, et al.. (2022). Global Context-Aware-Based Deformable Residual Network Module for Precise Pest Recognition and Detection. Frontiers in Plant Science. 13. 895944–895944. 16 indexed citations
11.
Liu, Liu, et al.. (2022). ASP-Det: Toward Appearance-Similar Light-Trap Agricultural Pest Detection and Recognition. Frontiers in Plant Science. 13. 864045–864045. 3 indexed citations
12.
Teng, Yue, et al.. (2022). MSR-RCNN: A Multi-Class Crop Pest Detection Network Based on a Multi-Scale Super-Resolution Feature Enhancement Module. Frontiers in Plant Science. 13. 810546–810546. 23 indexed citations
13.
Liu, Kang, Rujing Wang, Shifeng Dong, & Xiaodong Wang. (2022). Adaptive Fuzzy Finite-time Attitude Controller Design for Quadrotor UAV with External Disturbances and Uncertain Dynamics. 363–368. 2 indexed citations
14.
Dong, Shifeng, et al.. (2022). YOLO-pest: a real-time multi-class crop pest detection model. 41–41. 4 indexed citations
15.
Liu, Kang, et al.. (2022). Fixed-time disturbance observer-based robust fault-tolerant tracking control for uncertain quadrotor UAV subject to input delay. Nonlinear Dynamics. 107(3). 2363–2390. 86 indexed citations
16.
Du, Jianming, et al.. (2022). AM-ResNet: Low-energy-consumption addition-multiplication hybrid ResNet for pest recognition. Computers and Electronics in Agriculture. 202. 107357–107357. 13 indexed citations
17.
Dong, Shifeng, Rujing Wang, Kang Liu, et al.. (2021). CRA-Net: A channel recalibration feature pyramid network for detecting small pests. Computers and Electronics in Agriculture. 191. 106518–106518. 19 indexed citations
18.
Dong, Shifeng, et al.. (2020). Automatic Urinary Sediments Visible Component Detection Based on Improved YOLO Algorithm. 485–490. 6 indexed citations
19.
Yu, Li, et al.. (2020). The multimedia recommendation algorithm based on probability graphical model. Multimedia Tools and Applications. 81(14). 19035–19050. 3 indexed citations
20.
Jiao, Lin, Shengyu Zhang, Shifeng Dong, & Hongqiang Wang. (2020). RFP-Net: Receptive field-based proposal generation network for object detection. Neurocomputing. 405. 138–148. 8 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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