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.

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Showing 22 citing articles:

A spatial interpolation method based on 3D-CNN for soil petroleum hydrocarbon pollution
Sheng Miao, Ni Guo, Guangze Kong, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0316940-e0316940
Open Access

Construction of CPUE standardization model and its simulation testing for chub mackerel (Scomber japonicus) in the Northwest Pacific Ocean
Yongchuang Shi, Xiaomin Zhang, Shuyue Yang, et al.
Ecological Indicators (2023) Vol. 155, pp. 111022-111022
Open Access | Times Cited: 11

Enhancing Chub Mackerel Catch Per Unit Effort (CPUE) Standardization through High-Resolution Analysis of Korean Large Purse Seine Catch and Effort Using AIS Data
Solomon Amoah Owiredu, Shem Otoi Onyango, Eun-A Song, et al.
Sustainability (2024) Vol. 16, Iss. 3, pp. 1307-1307
Open Access | Times Cited: 4

Clean fishing: Construction of prediction model for high-catch Antarctic krill (Euphausia superba) fishing grounds based on deep learning and dynamic sliding window methods
Haibin Han, Bohui Jiang, Hongliang Huang, et al.
Ecological Informatics (2025) Vol. 86, pp. 103047-103047
Closed Access

Comparative analysis of modeling methods and prediction accuracy for Japanese sardine habitat under three climate scenarios with differing greenhouse emission pathways
Yuyan Sun, Delong Xiang, Jianhua Wang, et al.
Marine Pollution Bulletin (2025) Vol. 215, pp. 117867-117867
Closed Access

Classification of set-net fish catch volumes in Iwate Prefecture, Japan using machine learning with water temperature and current distribution images at migration depth
Takero Yoshida, Kenta Sugino, Haruka Nishikawa
Regional Studies in Marine Science (2024) Vol. 73, pp. 103480-103480
Closed Access | Times Cited: 2

Ichthyocenosis of the upper epipelagic layer in the Pacific waters of Russia during japanese sar-dine «renaissance» in the beginning of the 21<sup>st</sup> century
О. А. Иванов, В. И. Радченко, V. P. Shuntov, et al.
Izvestiya TINRO (2024) Vol. 204, Iss. 2, pp. 295-308
Open Access

The Fish Community of the Upper Epipelagic Layer of Russian Pacific Waters during the “Renaissance” of the Japanese Sardine in the Early 21st Century
О. А. Иванов, В. И. Радченко, V. P. Shuntov, et al.
Russian Journal of Marine Biology (2024) Vol. 50, Iss. 7, pp. 369-379
Closed Access

Effects of Oceanographic Conditions on Fishery Distribution: A Case Study of Chub Mackerel (Scomber japonicus) in Northeastern Taiwan
Sandipan Mondal, Frank Muller-Karger, Aratrika Ray, et al.
Marine Environmental Research (2024) Vol. 202, pp. 106803-106803
Closed Access

Graphical Deep Learning Prediction Model for Stock Risk Management
Haewon Byeon, Shyamsunder Chitta, Shavkatov Navruzbek Shavkatovich, et al.
Fluctuation and Noise Letters (2023) Vol. 23, Iss. 02
Closed Access

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