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:

Simulation monitoring of tetracyclines in wastewater based on fluorescence image processing and machine learning classifier
Long Yu, Xin Li, Yunfei Lu, et al.
Sensors and Actuators B Chemical (2023) Vol. 385, pp. 133678-133678
Closed Access | Times Cited: 13

Showing 13 citing articles:

Fluorescence sensing and device fabrication with luminescent metal–organic frameworks
Ding-Gui Cai, Teng‐Fei Zheng, Sui‐Jun Liu, et al.
Dalton Transactions (2023) Vol. 53, Iss. 2, pp. 394-409
Closed Access | Times Cited: 21

Intelligent quantitative recognition of sulfide using machine learning-based ratiometric fluorescence probe of metal-organic framework UiO-66-NH2/Ppix
Degui Wang, Long Yu, Xin Li, et al.
Journal of Hazardous Materials (2023) Vol. 464, pp. 132950-132950
Closed Access | Times Cited: 18

State-of-the-art progress and prospect of metal-organic frameworks and composites for photoelectrochemical amino-drugs sensing
Sourav Bej, Eun‐Bum Cho
Environmental Research (2025), pp. 120946-120946
Closed Access

Sensitive fluorescence detection based on dimeric G-quadruplex combined with enzyme-assisted solid-phase microextraction of streptomycin in honey
Dezhao Kong, Yitong Chen, Yidan Gu, et al.
Food Chemistry (2024) Vol. 442, pp. 138505-138505
Closed Access | Times Cited: 4

Deep learning assisted logic gates for real-time identification of natural tetracycline antibiotics
Ping Tan, Yuhui Chen, Hongrong Chang, et al.
Food Chemistry (2024) Vol. 454, pp. 139705-139705
Closed Access | Times Cited: 4

Numeric and nonnumeric information input to predict adsorption amount, capacity and kinetics of tetracyclines by biochar via machine learning
Baiqin Zhou, Rui-Chun Yang, Huiping Li, et al.
Chemical Engineering Journal (2023) Vol. 471, pp. 144636-144636
Closed Access | Times Cited: 10

Biomimetic phosphorylcholine-based antifouling electrochemical biosensor for tetracycline analysis in milk
Qiyue Wu, Cheng Zhang, Lunzhao Yi, et al.
Sensors and Actuators B Chemical (2024) Vol. 419, pp. 136411-136411
Closed Access | Times Cited: 2

Applications of artificial intelligence for chemical analysis and monitoring of pharmaceutical and personal care products in water and wastewater: A review
Babak Kavianpour, Farzad Piadeh, Mohammad Gheibi, et al.
Chemosphere (2024) Vol. 368, pp. 143692-143692
Open Access | Times Cited: 1

Machine Learning Algorithms for Intelligent Decision Recognition and Quantification of Cr(III) in Chromium Speciation
Yunfei Lu, Xin Li, Long Yu, et al.
Analytical Chemistry (2023) Vol. 95, Iss. 50, pp. 18635-18643
Closed Access | Times Cited: 4

Enhancing endometrial cancer detection: Blood serum intrinsic fluorescence data processing and machine learning application
Monika Švecová, Linda Blahová, Jozef Kostolný, et al.
Talanta (2024) Vol. 283, pp. 127083-127083
Closed Access

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