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:

Assessment of the total organic carbon employing the different nature-inspired approaches in the Nakdong River, South Korea
Sungwon Kim, Niloofar Maleki, Mohammad Rezaie-Balf, et al.
Environmental Monitoring and Assessment (2021) Vol. 193, Iss. 7
Closed Access | Times Cited: 13

Showing 13 citing articles:

A hybrid decomposition and Machine learning model for forecasting Chlorophyll-a and total nitrogen concentration in coastal waters
Xiaotong Zhu, Hongwei Guo, Jinhui Jeanne Huang‬‬‬‬, et al.
Journal of Hydrology (2023) Vol. 619, pp. 129207-129207
Closed Access | Times Cited: 36

A hybrid XGBoost-ISSA-LSTM model for accurate short-term and long-term dissolved oxygen prediction in ponds
Yuhan Wu, Longqing Sun, Xibei Sun, et al.
Environmental Science and Pollution Research (2021) Vol. 29, Iss. 12, pp. 18142-18159
Closed Access | Times Cited: 37

Practical application of machine learning for organic matter and harmful algal blooms in freshwater systems: A review
Xuan Cuong Nguyen, Vu Khac Hoang Bui, Kyung Hwa Cho, et al.
Critical Reviews in Environmental Science and Technology (2023) Vol. 54, Iss. 12, pp. 953-975
Open Access | Times Cited: 7

Enhancing machine learning models for total organic carbon prediction by integrating geospatial parameters in river watersheds
Haeseong Oh, Ho-Yeon Park, Jae‐In Kim, et al.
The Science of The Total Environment (2024) Vol. 943, pp. 173743-173743
Closed Access | Times Cited: 2

Prediction of total organic carbon and E. coli in rivers within the Milwaukee River basin using machine learning methods
Nabila Nafsin, Jin Li
Environmental Science Advances (2022) Vol. 2, Iss. 2, pp. 278-293
Open Access | Times Cited: 11

Optimization and Effect of Water Hardness for the Production of Slightly Acidic Electrolyzed Water on Sanitization Efficacy
Pianpian Yan, Hyeon-Yeong Jo, Ramachandran Chelliah, et al.
Frontiers in Microbiology (2022) Vol. 13
Open Access | Times Cited: 9

Enhancing Pollution Management in Watersheds: A Critical Review of Total Maximum Daily Load (TMDL) Implementation
Hantao Wang, Yijia Guan, Min Hu, et al.
Environmental Research (2024) Vol. 264, pp. 120394-120394
Closed Access | Times Cited: 1

Evapotranspiration estimation using hybrid and intelligent methods
Amin Amir-Ashayeri, Javad Behmanesh, Vahid Rezaverdinejad, et al.
Soft Computing (2023) Vol. 27, Iss. 14, pp. 9801-9821
Closed Access | Times Cited: 1

Investigation of Organic Carbon Contamination in Himalayan Rivers of Uttarakhand
Damini Rana, Neha Tiwari, Sudarshan S. Pal, et al.
Lecture notes in civil engineering (2023), pp. 105-116
Closed Access

A novel hybrid MARS model based on grey wolf optimizer to improve tunnel blasting vibration prediction
guoquan xu, Xinyu Wang
Research Square (Research Square) (2022)
Closed Access

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