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:

Underwater Fish Detection and Counting Using Mask Regional Convolutional Neural Network
Teh Hong Khai, Siti Norul Huda Sheikh Abdullah, Mohammad Kamrul Hasan, et al.
Water (2022) Vol. 14, Iss. 2, pp. 222-222
Open Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

Image-Based Wheat Mosaic Virus Detection with Mask-RCNN Model
Deepak Kumar, Vinay Kukreja
2022 International Conference on Decision Aid Sciences and Applications (DASA) (2022), pp. 178-182
Closed Access | Times Cited: 47

Automatic shrimp counting method using local images and lightweight YOLOv4
Lu Zhang, Xinhui Zhou, Beibei Li, et al.
Biosystems Engineering (2022) Vol. 220, pp. 39-54
Closed Access | Times Cited: 40

Water pollution reduction for sustainable urban development using machine learning techniques
Ishaani Priyadarshini, Ahmed Alkhayyat, Ahmed J. Obaid, et al.
Cities (2022) Vol. 130, pp. 103970-103970
Closed Access | Times Cited: 40

Underwater target detection algorithm based on improved YOLOv4 with SemiDSConv and FIoU loss function
Chengpengfei Zhang, Guoyin Zhang, Heng Li, et al.
Frontiers in Marine Science (2023) Vol. 10
Open Access | Times Cited: 16

Multi-classification deep neural networks for identification of fish species using camera captured images
Hassaan Malik, Ahmad Naeem, Shahzad Hassan, et al.
PLoS ONE (2023) Vol. 18, Iss. 4, pp. e0284992-e0284992
Open Access | Times Cited: 16

Machine Vision Applications for Welfare Monitoring in Aquaculture: Challenges and Opportunities
A Fitzgerald, Christos C. Ioannou, SofĂ­a Consuegra, et al.
Aquaculture Fish and Fisheries (2025) Vol. 5, Iss. 1
Open Access

Shrimp larvae detection and counting in aquaculture using multiscale feature fusion networks
Thai-Ha Dang, Minh Dang, Thang Viet Tran
Computers and Electronics in Agriculture (2025) Vol. 233, pp. 109850-109850
Closed Access

PPCL-RSE: Point prediction for counting and localization of litopenaeus vannamei fry with region-based super-resolution enhancement
Ximing Li, Yingqi Wu, Yuefang Gao, et al.
Smart Agricultural Technology (2024) Vol. 8, pp. 100440-100440
Open Access | Times Cited: 2

SLCOBNet: Shrimp larvae counting network with overlapping splitting and Bayesian-DM-count loss
Yang Qu, Sheng Jiang, Daoliang Li, et al.
Biosystems Engineering (2024) Vol. 244, pp. 200-210
Closed Access | Times Cited: 2

Charting the aquaculture internet of things impact: Key applications, challenges, and future trend
Ahmad Fikri Abdullah, Hasfalina Che Man, Mohammed Abdulsalam, et al.
Aquaculture Reports (2024) Vol. 39, pp. 102358-102358
Closed Access | Times Cited: 2

EORNet: An improved rotating box detection model for counting juvenile fish under occlusion and overlap
Pan Zhang, Liang Wang, Guangxu Wang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 124, pp. 106528-106528
Closed Access | Times Cited: 6

Automatic Penaeus Monodon Larvae Counting via Equal Keypoint Regression with Smartphones
Ximing Li, Ruixiang Liu, Zhe Wang, et al.
Animals (2023) Vol. 13, Iss. 12, pp. 2036-2036
Open Access | Times Cited: 4

FishDet-YOLO: Enhanced Underwater Fish Detection with Richer Gradient Flow and Long-Range Dependency Capture through Mamba-C2f
Yang Chen, Jian Xiang, Xiaoyong Li, et al.
Electronics (2024) Vol. 13, Iss. 18, pp. 3780-3780
Open Access | Times Cited: 1

Shrimp phenotypic data extraction and growth abnormality identification method based on instance segmentation
Xun Ran, Yiran Liu, Hongyu Pan, et al.
Computers and Electronics in Agriculture (2024) Vol. 229, pp. 109701-109701
Closed Access | Times Cited: 1

Probabilistic Framework Allocation on Underwater Vehicular Systems Using Hydrophone Sensor Networks
Pravin R. Kshirsagar, Hariprasath Manoharan, Shitharth Selvarajan, et al.
Water (2022) Vol. 14, Iss. 8, pp. 1292-1292
Open Access | Times Cited: 7

HRFSVM: identification of fish disease using hybrid Random Forest and Support Vector Machine
G. Jhansi, K. Sujatha
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 8
Closed Access | Times Cited: 3

An Integrated GIS-Based Reinforcement Learning Approach for Efficient Prediction of Disease Transmission in Aquaculture
Aristeidis Karras, Christos Karras, Spyros Sioutas, et al.
Information (2023) Vol. 14, Iss. 11, pp. 583-583
Open Access | Times Cited: 3

Improving Fisheries Management through Deep learning based Automated fish counting
Manikanta Sirigineedi, R. N. V. Jagan Mohan, Binod Kumar Sahu
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2023), pp. 1-6
Closed Access | Times Cited: 3

Bass detection model based on improved YOLOv5 in circulating water system
Longqin Xu, Hao Deng, Yingying Cao, et al.
PLoS ONE (2023) Vol. 18, Iss. 3, pp. e0283671-e0283671
Open Access | Times Cited: 2

Individual Fish Recognition Method with Coarse and Fine-Grained Feature Linkage Learning for Precision Aquaculture
Jianhao Yin, Junfeng Wu, Chunqi Gao, et al.
Aquaculture Research (2023) Vol. 2023, pp. 1-14
Open Access | Times Cited: 2

Improving fish image detection speed with hybrid VGG16 and darknet
Manikanta Sirigineedi, R. N. V. Jagan Mohan, Bandita Sahu
Multimedia Tools and Applications (2024)
Closed Access

Intelligent Control for Automated Fish Feeding System in an Aquaponic Environment
Anton Louise P. De Ocampo, Alvin Sarraga Alon, Francis Jesmar P. Montalbo, et al.
(2024), pp. 273-278
Closed Access

A deep learning model for estimating body weight of live pacific white shrimp in a clay pond shrimp aquaculture
Nitthita Chirdchoo, Suvimol Mukviboonchai, Weerasak Cheunta
Intelligent Systems with Applications (2024) Vol. 24, pp. 200434-200434
Open Access

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