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Junjie Feng
Institution:
Liupanshui Normal University
Observed institutions:
Liupanshui Normal University,
China Southern Power Grid (China)
ORCID:
0009-0006-9489-7542
Observed ORCID:
0009-0006-9489-7542
OpenAlex ID:
A5031593285
YOLOv8-ACCW: Lightweight Grape Leaf Disease Detection Method Based on Improved YOLOv8
2024
·
Zuxing Chen
, Junjie Feng
, et al.
·
IEEE Access
·
58
Model Predictive Control Method of Multi-Energy Flow System Considering Wind Power Consumption
2023
·
Qilong Zhang
, Xiangping Chen
, et al.
·
IEEE Access
·
12
PDF
YOLOv8-OCHD: A Lightweight Wood Surface Defect Detection Method Based on Improved YOLOv8
2025
·
Zuxing Chen
, Junjie Feng
, et al.
·
IEEE Access
·
11
A Fast Image Stitching Algorithm Based on Texture Classification and Improved SIFT
2024
·
Zetian Tang
, Zemin Zhang
, et al.
·
IEEE Access
·
9
MIMO radar imaging based on improved smoothed L0 norm sparse signal recovery algorithm
2023
·
Junjie Feng
, Qianmei Zhao
·
International Conference on Electronic Information Engineering, Big Data and Computer Technology (EIBDCT)
·
1
An improved smoothed L0 norm block sparse signal recovery algorithm
2023
·
Junjie Feng
, Qianmei Zhao
·
International Conference on Big Data, Information and Computer Network (BDICN)
·
1
YOLOv8-SGCC: improved YOLOv8-based detection algorithm for Rosa roxburghii
2025
·
zuxing chen
, Junjie Feng
, et al.
·
International Symposium on Control Engineering and Robotics (ISCER)
Optimized Control Method Based on Implicit Arithmetic for Shunt Active Filter
2024
·
Qingming Xin
, Ming Chen
, et al.
·
International Conference on Harmonics and Quality of Power
Compressive sensing image recovery algorithm based on improved smoothed L0 norm
2024
·
Youyu Zhao
, Jiao Wang
, et al.
·
International Conference on Electronic Information Engineering, Big Data and Computer Technology (EIBDCT)
Compressive sensing recovery algorithm based on improve smoothed L0 norm (Withdrawal Notice)
2023
·
Junjie Feng
, Qianmei Zhao
·
International Conference on Electronic Information Engineering, Big Data and Computer Technology (EIBDCT)
PDF
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Works count:
10
Citation count:
92
H-index:
4
I10-index:
3
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