Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Fruit Detection and Segmentation for Apple Harvesting Using Visual Sensor in Orchards
Hanwen Kang, Chao Chen
Sensors (2019) Vol. 19, Iss. 20, pp. 4599-4599
Open Access | Times Cited: 120

Showing 1-25 of 120 citing articles:

A Real-Time Apple Targets Detection Method for Picking Robot Based on Improved YOLOv5
Bin Yan, Pan Fan, Xiaoyan Lei, et al.
Remote Sensing (2021) Vol. 13, Iss. 9, pp. 1619-1619
Open Access | Times Cited: 461
Recognition and Localization Methods for Vision-Based Fruit Picking Robots: A Review
Yunchao Tang, Mingyou Chen, Chenglin Wang, et al.
Frontiers in Plant Science (2020) Vol. 11
Open Access | Times Cited: 417
Integrating blockchain and the internet of things in precision agriculture: Analysis, opportunities, and challenges
Mohamed Torky, Aboul Ella Hassanein
Computers and Electronics in Agriculture (2020) Vol. 178, pp. 105476-105476
Closed Access | Times Cited: 305
Channel pruned YOLO V5s-based deep learning approach for rapid and accurate apple fruitlet detection before fruit thinning
Dandan Wang, Dongjian He
Biosystems Engineering (2021) Vol. 210, pp. 271-281
Closed Access | Times Cited: 252
Fruit detection, segmentation and 3D visualisation of environments in apple orchards
Hanwen Kang, Chao Chen
Computers and Electronics in Agriculture (2020) Vol. 171, pp. 105302-105302
Closed Access | Times Cited: 182
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: 155
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: 141
Deep learning-based apple detection using a suppression mask R-CNN
Pengyu Chu, Zhaojian Li, Kyle Lammers, et al.
Pattern Recognition Letters (2021) Vol. 147, pp. 206-211
Open Access | Times Cited: 116
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: 109
Fusion of Mask RCNN and attention mechanism for instance segmentation of apples under complex background
Dandan Wang, Dongjian He
Computers and Electronics in Agriculture (2022) Vol. 196, pp. 106864-106864
Closed Access | Times Cited: 99
Canopy-attention-YOLOv4-based immature/mature apple fruit detection on dense-foliage tree architectures for early crop load estimation
Shenglian Lu, Wenkang Chen, Xin Zhang, et al.
Computers and Electronics in Agriculture (2022) Vol. 193, pp. 106696-106696
Open Access | Times Cited: 87
Detection and counting of banana bunches by integrating deep learning and classic image-processing algorithms
Fengyun Wu, Zhou Yang, Xingkang Mo, et al.
Computers and Electronics in Agriculture (2023) Vol. 209, pp. 107827-107827
Closed Access | Times Cited: 68
Fruit Detection and Recognition Based on Deep Learning for Automatic Harvesting: An Overview and Review
Feng Xiao, Haibin Wang, Yueqin Xu, et al.
Agronomy (2023) Vol. 13, Iss. 6, pp. 1625-1625
Open Access | Times Cited: 62
Detection and Counting of Small Target Apples under Complicated Environments by Using Improved YOLOv7-tiny
Li Ma, Liya Zhao, Zixuan Wang, et al.
Agronomy (2023) Vol. 13, Iss. 5, pp. 1419-1419
Open Access | Times Cited: 50
A Survey of Robotic Harvesting Systems and Enabling Technologies
Λεωνίδας Δρούκας, Zoe Doulgeri, Nikolaos Tsakiridis, et al.
Journal of Intelligent & Robotic Systems (2023) Vol. 107, Iss. 2
Open Access | Times Cited: 46
Smart Farming Becomes Even Smarter With Deep Learning—A Bibliographical Analysis
Zeynep Ünal
IEEE Access (2020) Vol. 8, pp. 105587-105609
Open Access | Times Cited: 105
Applications of deep-learning approaches in horticultural research: a review
Biyun Yang, Yong Xu
Horticulture Research (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 102
Intelligent Fruit Yield Estimation for Orchards Using Deep Learning Based Semantic Segmentation Techniques—A Review
Prabhakar Maheswari, P. Raja, Orly Enrique Apolo-Apolo, et al.
Frontiers in Plant Science (2021) Vol. 12
Open Access | Times Cited: 96
Visual Perception and Modeling for Autonomous Apple Harvesting
Hanwen Kang, Hongyu Zhou, Chao Chen
IEEE Access (2020) Vol. 8, pp. 62151-62163
Open Access | Times Cited: 82
Three-dimensional reconstruction of guava fruits and branches using instance segmentation and geometry analysis
Guichao Lin, Yunchao Tang, Xiangjun Zou, et al.
Computers and Electronics in Agriculture (2021) Vol. 184, pp. 106107-106107
Closed Access | Times Cited: 73
A mango picking vision algorithm on instance segmentation and key point detection from RGB images in an open orchard
Chan Zheng, Pengfei Chen, Jing Pang, et al.
Biosystems Engineering (2021) Vol. 206, pp. 32-54
Closed Access | Times Cited: 67
Food Adulteration Detection using Artificial Intelligence: A Systematic Review
Kashish Goyal, Parteek Kumar, Karun Verma
Archives of Computational Methods in Engineering (2021) Vol. 29, Iss. 1, pp. 397-426
Closed Access | Times Cited: 64
YOLO-Banana: A Lightweight Neural Network for Rapid Detection of Banana Bunches and Stalks in the Natural Environment
Lanhui Fu, Zhou Yang, Fengyun Wu, et al.
Agronomy (2022) Vol. 12, Iss. 2, pp. 391-391
Open Access | Times Cited: 56
Automated identification of citrus diseases in orchards using deep learning
Xinxing Zhang, Yi Xun, Yaohui Chen
Biosystems Engineering (2022) Vol. 223, pp. 249-258
Closed Access | Times Cited: 41
Real-time and accurate detection of citrus in complex scenes based on HPL-YOLOv4
Lijia Xu, Yihan Wang, Xiaoshi Shi, et al.
Computers and Electronics in Agriculture (2022) Vol. 205, pp. 107590-107590
Closed Access | Times Cited: 41
Page 1 - Next Page

Scroll to top