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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:

Real-Time Fruit Recognition and Grasping Estimation for Robotic Apple Harvesting
Hanwen Kang, Hongyu Zhou, Xing Wang, et al.
Sensors (2020) Vol. 20, Iss. 19, pp. 5670-5670
Open Access | Times Cited: 139

Showing 1-25 of 139 citing articles:

A Revisit of Internet of Things Technologies for Monitoring and Control Strategies in Smart Agriculture
Amjad Rehman, Tanzila Saba, Muhammad Kashif, et al.
Agronomy (2022) Vol. 12, Iss. 1, pp. 127-127
Open Access | Times Cited: 203
Intelligent robots for fruit harvesting: recent developments and future challenges
Hongyu Zhou, Xing Wang, Wesley Au, et al.
Precision Agriculture (2022) Vol. 23, Iss. 5, pp. 1856-1907
Open Access | Times Cited: 151
Recent Advancements in Agriculture Robots: Benefits and Challenges
Chao Cheng, Jun Fu, Hang Su, et al.
Machines (2023) Vol. 11, Iss. 1, pp. 48-48
Open Access | Times Cited: 106
3D vision technologies for a self-developed structural external crack damage recognition robot
Kewei Hu, Zheng Chen, Hanwen Kang, et al.
Automation in Construction (2024) Vol. 159, pp. 105262-105262
Closed Access | Times Cited: 104
Geometry-aware fruit grasping estimation for robotic harvesting in apple orchards
Xing Wang, Hanwen Kang, Hongyu Zhou, et al.
Computers and Electronics in Agriculture (2022) Vol. 193, pp. 106716-106716
Open Access | Times Cited: 76
Deep learning based object detection for resource constrained devices: Systematic review, future trends and challenges ahead
Vidya Kamath, A. Renuka
Neurocomputing (2023) Vol. 531, pp. 34-60
Closed Access | Times Cited: 59
Tomato recognition and location algorithm based on improved YOLOv5
Tianhua Li, Meng Sun, Qinghai He, et al.
Computers and Electronics in Agriculture (2023) Vol. 208, pp. 107759-107759
Closed Access | Times Cited: 47
Advances in apple’s automated orchard equipment: A comprehensive research
Mustafa Mhamed, Zhao Zhang, Jiangfan Yu, et al.
Computers and Electronics in Agriculture (2024) Vol. 221, pp. 108926-108926
Closed Access | Times Cited: 19
Vision systems for harvesting robots: Produce detection and localization
Luis-Enrique Montoya-Cavero, Rocío Díaz de León Torres, Alfonso Gómez-Espinosa, et al.
Computers and Electronics in Agriculture (2021) Vol. 192, pp. 106562-106562
Closed Access | Times Cited: 67
Adaptive Active Positioning of Camellia oleifera Fruit Picking Points: Classical Image Processing and YOLOv7 Fusion Algorithm
Yunhe Zhou, Yunchao Tang, Xiangjun Zou, et al.
Applied Sciences (2022) Vol. 12, Iss. 24, pp. 12959-12959
Open Access | Times Cited: 65
Development and evaluation of a robust soft robotic gripper for apple harvesting
Xing Wang, Hanwen Kang, Hongyu Zhou, et al.
Computers and Electronics in Agriculture (2022) Vol. 204, pp. 107552-107552
Open Access | Times Cited: 64
Fruit pose recognition and directional orderly grasping strategies for tomato harvesting robots
Jiacheng Rong, Pengbo Wang, Tianjian Wang, et al.
Computers and Electronics in Agriculture (2022) Vol. 202, pp. 107430-107430
Closed Access | Times Cited: 56
Segmentation of structural parts of rosebush plants with 3D point-based deep learning methods
Kaya Turgut, Helin Dutağacı, Gilles Galopin, et al.
Plant Methods (2022) Vol. 18, Iss. 1
Open Access | Times Cited: 45
Accurate fruit localisation using high resolution LiDAR-camera fusion and instance segmentation
Hanwen Kang, Xing Wang, Chao Chen
Computers and Electronics in Agriculture (2022) Vol. 203, pp. 107450-107450
Open Access | Times Cited: 42
Simplified 4-DOF manipulator for rapid robotic apple harvesting
Guangrui Hu, Chao Chen, Jun Chen, et al.
Computers and Electronics in Agriculture (2022) Vol. 199, pp. 107177-107177
Closed Access | Times Cited: 38
Multi-network fusion algorithm with transfer learning for green cucumber segmentation and recognition under complex natural environment
Yuhao Bai, Yunxiang Guo, Qian Zhang, et al.
Computers and Electronics in Agriculture (2022) Vol. 194, pp. 106789-106789
Closed Access | Times Cited: 37
ORB-Livox: A real-time dynamic system for fruit detection and localization
Tianhao Liu, Hanwen Kang, Chao Chen
Computers and Electronics in Agriculture (2023) Vol. 209, pp. 107834-107834
Open Access | Times Cited: 26
Deep learning-based instance segmentation architectures in agriculture: A review of the scopes and challenges
Christos Charisis, Dimitrios Argyropoulos
Smart Agricultural Technology (2024) Vol. 8, pp. 100448-100448
Open Access | Times Cited: 11
YOLOv8-CML: a lightweight target detection method for color-changing melon ripening in intelligent agriculture
Guojun Chen, Yongjie Hou, Tao Cui, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 11
A comprehensive survey of deep learning-based lightweight object detection models for edge devices
Payal Mittal
Artificial Intelligence Review (2024) Vol. 57, Iss. 9
Open Access | Times Cited: 9
A Deep Learning-Based Vision System Combining Detection and Tracking for Fast On-Line Citrus Sorting
Yaohui Chen, Xiaosong An, Gao Shu-min, et al.
Frontiers in Plant Science (2021) Vol. 12
Open Access | Times Cited: 52
SwinGD: A Robust Grape Bunch Detection Model Based on Swin Transformer in Complex Vineyard Environment
Jinhai Wang, Zongyin Zhang, Lufeng Luo, et al.
Horticulturae (2021) Vol. 7, Iss. 11, pp. 492-492
Open Access | Times Cited: 47
Non-destructive thermal imaging for object detection via advanced deep learning for robotic inspection and harvesting of chili peppers
Steven C. Hespeler, Hamidreza Nemati, Ehsan Dehghan-Niri
Artificial Intelligence in Agriculture (2021) Vol. 5, pp. 102-117
Open Access | Times Cited: 46
Robotics Dexterous Grasping: The Methods Based on Point Cloud and Deep Learning
Haonan Duan, Peng Wang, Ya-Yu Huang, et al.
Frontiers in Neurorobotics (2021) Vol. 15
Open Access | Times Cited: 42
Detection and Segmentation of Mature Green Tomatoes Based on Mask R-CNN with Automatic Image Acquisition Approach
Linlu Zu, Yanping Zhao, Jiuqin Liu, et al.
Sensors (2021) Vol. 21, Iss. 23, pp. 7842-7842
Open Access | Times Cited: 42
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