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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:

A method for automatic real-time detection and counting of fruit fly pests in orchards by trap bottles via convolutional neural network with attention mechanism added
Jinhui She, Wei Zhan, Shengbing Hong, et al.
Ecological Informatics (2022) Vol. 70, pp. 101690-101690
Closed Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Detection of citrus black spot disease and ripeness level in orange fruit using learning-to-augment incorporated deep networks
Mohammad Momeny, Ahmad Jahanbakhshi, Ali Asghar Neshat, et al.
Ecological Informatics (2022) Vol. 71, pp. 101829-101829
Closed Access | Times Cited: 52
Sweet potato leaf detection in a natural scene based on faster R-CNN with a visual attention mechanism and DIoU-NMS
Mengxia Wang, Boya Fu, Jianbo Fan, et al.
Ecological Informatics (2022) Vol. 73, pp. 101931-101931
Open Access | Times Cited: 40
YWnet: A convolutional block attention-based fusion deep learning method for complex underwater small target detection
Pingzhu Liu, Wenbin Qian, Yinglong Wang
Ecological Informatics (2023) Vol. 79, pp. 102401-102401
Open Access | Times Cited: 25
Tomato 3D pose detection algorithm based on keypoint detection and point cloud processing
Xiaoqiang Du, Zhichao Meng, Zenghong Ma, et al.
Computers and Electronics in Agriculture (2023) Vol. 212, pp. 108056-108056
Closed Access | Times Cited: 23
A fish counting model based on pyramid vision transformer with multi-scale feature enhancement
Jiaming Xin, Yiying Wang, Dashe Li, et al.
Ecological Informatics (2025), pp. 103025-103025
Open Access | Times Cited: 1
Medicinal and poisonous plants classification from visual characteristics of leaves using computer vision and deep neural networks
Rahim Azadnia, Faramarz Noei-Khodabadi, Azad Moloudzadeh, et al.
Ecological Informatics (2024) Vol. 82, pp. 102683-102683
Open Access | Times Cited: 8
EResNet‐SVM: an overfitting‐relieved deep learning model for recognition of plant diseases and pests
Haitao Xiong, Juan Li, Tiewei Wang, et al.
Journal of the Science of Food and Agriculture (2024) Vol. 104, Iss. 10, pp. 6018-6034
Closed Access | Times Cited: 7
Pork primal cuts recognition method via computer vision
Huazi Huang, Wei Zhan, Zhiqiang Du, et al.
Meat Science (2022) Vol. 192, pp. 108898-108898
Closed Access | Times Cited: 24
Application of Support Vector Machine Algorithm Incorporating Slime Mould Algorithm Strategy in Ancient Glass Classification
Yuheng Guo, Wei Zhan, Weihao Li
Applied Sciences (2023) Vol. 13, Iss. 6, pp. 3718-3718
Open Access | Times Cited: 16
YOLO_MRC: A fast and lightweight model for real-time detection and individual counting of Tephritidae pests
Min Wei, Wei Zhan
Ecological Informatics (2023) Vol. 79, pp. 102445-102445
Open Access | Times Cited: 13
Tiny deep learning model for insect segmentation and counting on resource-constrained devices
Amin Kargar, Dimitrios Zorbas, Michael Gaffney, et al.
Computers and Electronics in Agriculture (2025) Vol. 236, pp. 110378-110378
Open Access
Damage Detection of Unwashed Eggs through Video and Deep Learning
Huang Yuan, Yangfan Luo, Yangyang Cao, et al.
Foods (2023) Vol. 12, Iss. 11, pp. 2179-2179
Open Access | Times Cited: 10
A deep learning-based pipeline for whitefly pest abundance estimation on chromotropic sticky traps
Luca Ciampi, Valeria Zeni, Luca Incrocci, et al.
Ecological Informatics (2023) Vol. 78, pp. 102384-102384
Open Access | Times Cited: 10
Remote sensing data fusion approach for estimating forest degradation: a case study of boreal forests damaged by Polygraphus proximus
Svetlana Illarionova, Polina Tregubova, Islomjon Shukhratov, et al.
Frontiers in Environmental Science (2024) Vol. 12
Open Access | Times Cited: 3
SRNet-YOLO: A model for detecting tiny and very tiny pests in cotton fields based on super-resolution reconstruction
Sen Yang, Gang Zhou, Yuwei Feng, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 3
YOLO-TP: A lightweight model for individual counting of Lasioderma serricorne
B.G. Li, Liu Li, Haijiang Jia, et al.
Journal of Stored Products Research (2024) Vol. 109, pp. 102456-102456
Open Access | Times Cited: 3
Unstructured road extraction and roadside fruit recognition in grape orchards based on a synchronous detection algorithm
Xinzhao Zhou, Xiangjun Zou, Wei Tang, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 7
Aphid Recognition and Counting Based on an Improved YOLOv5 Algorithm in a Climate Chamber Environment
Xiaoyin Li, Lixing Wang, Hong Miao, et al.
Insects (2023) Vol. 14, Iss. 11, pp. 839-839
Open Access | Times Cited: 7
A series of methods incorporating deep learning and computer vision techniques in the study of fruit fly (Diptera: Tephritidae) regurgitation
Tongzhou Zhou, Wei Zhan, Mengyuan Xiong
Frontiers in Plant Science (2024) Vol. 14
Open Access | Times Cited: 2
Image detection model construction of Apolygus lucorum and Empoasca spp. based on improved YOLOv5
Bo Xiong, Delu Li, Qi Zhang, et al.
Pest Management Science (2024) Vol. 80, Iss. 6, pp. 2577-2586
Closed Access | Times Cited: 2
RPH-Counter: Field detection and counting of rice planthoppers using a fully convolutional network with object-level supervision
Zhiliang Zhang, Wei Zhan, Kanglin Sun, et al.
Computers and Electronics in Agriculture (2024) Vol. 225, pp. 109242-109242
Closed Access | Times Cited: 2
Research and Application of U$$^2$$-NetP Network Incorporating Coordinate Attention for Ship Draft Reading in Complex Situations
Weihao Li, Wei Zhan, Tao Han, et al.
Journal of Signal Processing Systems (2022) Vol. 95, Iss. 2-3, pp. 177-195
Closed Access | Times Cited: 10
A Recognition Method of Bactrocera minax (Diptera: Tephritidae) Grooming Behavior via a Multi-Object Tracking and Spatio-Temporal Feature Detection Model
Shengbing Hong, Wei Zhan, Tianyu Dong, et al.
Journal of Insect Behavior (2022) Vol. 35, Iss. 4, pp. 67-81
Closed Access | Times Cited: 9
Automatic classification of parasitized fruit fly pupae from X-ray images by convolutional neural networks
Rangel Shida Marinho, Alysson Alexander Naves Silva, Clíssia Barboza da Silva, et al.
Ecological Informatics (2023) Vol. 78, pp. 102382-102382
Closed Access | Times Cited: 5
Testing a Method Based on an Improved UNet and Skeleton Thinning Algorithm to Obtain Branch Phenotypes of Tall and Valuable Trees Using Abies beshanzuensis as the Research Sample
Jiahui Shen, Lihong Zhang, Laibang Yang, et al.
Plants (2023) Vol. 12, Iss. 13, pp. 2444-2444
Open Access | Times Cited: 4
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