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:

Systematic tracking of nitrogen sources in complex river catchments: Machine learning approach based on microbial metagenomics
Ziqian Zhu, Junjie Ding, Ran Du, et al.
Water Research (2024) Vol. 253, pp. 121255-121255
Closed Access | Times Cited: 7

Showing 7 citing articles:

Unraveling the interaction of dissolved organic matter and microorganisms with internal phosphorus cycling in the floodplain lake ecosystem
Lan Lu, Ning Tang, Ziqian Zhu, et al.
Environmental Research (2025), pp. 120966-120966
Closed Access

Re-discussing the synergistic mechanisms in dual metabolism of microalgae and N-cycling bacteria on joint N removal
Xue Li, Xi Chen, Yuhao Chu, et al.
Chemical Engineering Journal (2025), pp. 160276-160276
Closed Access

Evaluation of the Evolution of the Ecological Security of Oases in Arid Regions and Its Driving Forces: A Case Study of Ejina Oasis in China
Xiaowei Shi, Xiaohui Jiang, Yihan Liu, et al.
Sustainability (2024) Vol. 16, Iss. 5, pp. 1942-1942
Open Access | Times Cited: 4

Machine Learning-based Optimal Nitrate Dynamics and Flux Monitoring Frequency in Karst Catchment
Xuhong Yang, Xin Liu, Youkun Gong, et al.
Deleted Journal (2024)
Closed Access

Key drivers of heavy metal bioavailability in river sediments and microbial community responses under long-term high-concentration Pollution
Weijie Chen, Jun Xu, Shengli Wang, et al.
Environmental Research (2024), pp. 120375-120375
Closed Access

Prediction of Pseudomonas aeruginosa abundance in drinking water distribution systems using machine learning
Qiao-Mei Zhou, Yukang Li, Min Wang, et al.
Process Safety and Environmental Protection (2024)
Closed Access

Identifying human activities causing water pollution based on microbial community sequencing and source classifier machine learning
Zhangmu Jing, Yi Zhang, Xiaoling Liu, et al.
Environment International (2024) Vol. 195, pp. 109240-109240
Open Access

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