OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Lightweight detection networks for tea bud on complex agricultural environment via improved YOLO v4
Jie Li, Jiehao Li, Xin Zhao, et al.
Computers and Electronics in Agriculture (2023) Vol. 211, pp. 107955-107955
Closed Access | Times Cited: 83

Showing 26-50 of 83 citing articles:

MSNet: A Novel Deep Learning Framework for Efficient Missing Seedling Detection in Maize Fields
Yong Shi, Ruijie Xu, Zhiquan Qi
Applied Artificial Intelligence (2025) Vol. 39, Iss. 1
Open Access

Lightweight highland barley detection based on improved YOLOv5
Minghui Cai, Hui Deng, Jianwei Cai, et al.
Plant Methods (2025) Vol. 21, Iss. 1
Open Access

Enhancing multilevel tea leaf recognition based on improved YOLOv8n
Xiaoli Tang, Li Tang, Junmin Li, et al.
Frontiers in Plant Science (2025) Vol. 16
Open Access

Hyperspectral Prediction Model of Nitrogen Content in Citrus Leaves Based on the CEEMDAN–SR Algorithm
Changlun Gao, Ting Tang, Weibin Wu, et al.
Remote Sensing (2023) Vol. 15, Iss. 20, pp. 5013-5013
Open Access | Times Cited: 9

Multi-Scale Infrared Military Target Detection Based on 3X-FPN Feature Fusion Network
Shuai Wang, Yuhong Du, Shuaijie Zhao, et al.
IEEE Access (2023) Vol. 11, pp. 141585-141597
Open Access | Times Cited: 9

Optimal training strategy for high-performance detection model of multi-cultivar tea shoots based on deep learning methods
Zhi Zhang, Yongzong Lu, Mengying Yang, et al.
Scientia Horticulturae (2024) Vol. 328, pp. 112949-112949
Closed Access | Times Cited: 3

Maturity discrimination of tobacco leaves for tobacco harvesting robots based on a Multi-Scale branch attention neural network
Yingpeng Dai, Panzhen Zhao, Yutan Wang
Computers and Electronics in Agriculture (2024) Vol. 224, pp. 109133-109133
Closed Access | Times Cited: 3

Research on the visual location method for strawberry picking points under complex conditions based on composite models
Hehe Xie, Zhijie Zhang, Kailiang Zhang, et al.
Journal of the Science of Food and Agriculture (2024) Vol. 104, Iss. 14, pp. 8566-8579
Closed Access | Times Cited: 3

Tea Bud Detection Model in a Real Picking Environment Based on an Improved YOLOv5
Hongfei Li, Min Kong, Yunying Shi
Biomimetics (2024) Vol. 9, Iss. 11, pp. 692-692
Open Access | Times Cited: 3

Large field-of-view pine wilt disease tree detection based on improved YOLO v4 model with UAV images
Zhenbang Zhang, Chongyang Han, Xinrong Wang, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 2

Pineapple Detection with YOLOv7-Tiny Network Model Improved via Pruning and a Lightweight Backbone Sub-Network
Jiehao Li, Yaowen Liu, Chenglin Li, et al.
Remote Sensing (2024) Vol. 16, Iss. 15, pp. 2805-2805
Open Access | Times Cited: 2

Improved Multi-Size, Multi-Target and 3D Position Detection Network for Flowering Chinese Cabbage Based on YOLOv8
Yuanqing Shui, Kai Yuan, Mengcheng Wu, et al.
Plants (2024) Vol. 13, Iss. 19, pp. 2808-2808
Open Access | Times Cited: 2

The tea buds detection and yield estimation method based on optimized YOLOv8
Changan Zhou, Yi Ping Zhu, Jialin Zhang, et al.
Scientia Horticulturae (2024) Vol. 338, pp. 113730-113730
Closed Access | Times Cited: 2

Tea bud DG: A lightweight tea bud detection model based on dynamic detection head and adaptive loss function
Jianqiang Lu, Luo Haoxuan, Yu Chaoran, et al.
Computers and Electronics in Agriculture (2024) Vol. 227, pp. 109522-109522
Closed Access | Times Cited: 2

Practical framework for generative on-branch soybean pod detection in occlusion and class imbalance scenes
Kanglei Wu, Tan Wang, Yuan Rao, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109613-109613
Closed Access | Times Cited: 2

Picking point identification and localization method based on swin-transformer for high-quality tea
Zhichao Pan, Jinan Gu, Wenbo Wang, et al.
Journal of King Saud University - Computer and Information Sciences (2024), pp. 102262-102262
Open Access | Times Cited: 2

Instance Segmentation of Tea Garden Roads Based on an Improved YOLOv8n-seg Model
Weibin Wu, Zhaokai He, Junlin Li, et al.
Agriculture (2024) Vol. 14, Iss. 7, pp. 1163-1163
Open Access | Times Cited: 2

Lightweight safflower cluster detection based on YOLOv5
Hui Guo, Tianlun Wu, Guomin Gao, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2

Real-time pineapple detection for agricultural robot via lightweight YOLOv7-tiny model
Jiehao Li, Chenglin Li, Xiwen Luo, et al.
Procedia Computer Science (2023) Vol. 226, pp. 92-98
Open Access | Times Cited: 5

MLP-YOLOv5: A Lightweight Multi-Scale Identification Model for Lotus Pods with Scale Variation
Ange Lu, Jun Liu, Hao Cui, et al.
Agriculture (2023) Vol. 14, Iss. 1, pp. 30-30
Open Access | Times Cited: 4

A multi-target cow face detection model in complex scenes
Xuemei Lei, Xiaowei Wen, Zheng Li
The Visual Computer (2024) Vol. 40, Iss. 12, pp. 9155-9176
Closed Access | Times Cited: 1

CCL-YOLO: Catenary Components Location Based on YOLO and Gather-Distribute Mechanism
Shuai Xu, Jiyou Fei, Geng Zhao, et al.
IEEE Access (2024), pp. 1-1
Open Access | Times Cited: 1

Research on the Detection Method of Safflower Filaments in Natural Environment Based on Improved YOLOv5s
Bangbang Chen, Feng Ding, Baojian Ma, et al.
IEEE Access (2024) Vol. 12, pp. 126244-126257
Open Access | Times Cited: 1

Lightweight Network of Multi-Stage Strawberry Detection Based on Improved YOLOv7-Tiny
Chenglin Li, Haonan Wu, Tao Zhang, et al.
Agriculture (2024) Vol. 14, Iss. 7, pp. 1132-1132
Open Access | Times Cited: 1

Lithium-ion batteries state of charge estimation using PSO-BP neural network improved UKF algorithm
隆文 松浦, Chun Wang, Junlin Chen
2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC) (2024), pp. 1988-1992
Closed Access | Times Cited: 1

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