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:
It Takes a Village: Using a Crowdsourced Approach to Investigate Organic Matter Composition in Global Rivers Through the Lens of Ecological Theory
Mikayla Borton, Sarah M. Collins, Emily Graham, et al.
Frontiers in Water (2022) Vol. 4
Open Access | Times Cited: 8
Mikayla Borton, Sarah M. Collins, Emily Graham, et al.
Frontiers in Water (2022) Vol. 4
Open Access | Times Cited: 8
Showing 8 citing articles:
Applying the core-satellite species concept: Characteristics of rare and common riverine dissolved organic matter
Masumi Stadler, Malcolm A. Barnard, Kadir Biçe, et al.
Frontiers in Water (2023) Vol. 5
Open Access | Times Cited: 8
Masumi Stadler, Malcolm A. Barnard, Kadir Biçe, et al.
Frontiers in Water (2023) Vol. 5
Open Access | Times Cited: 8
Prediction of Distributed River Sediment Respiration Rates using Community-Generated Data and Machine Learning
Stefan F. Gary, Tim Scheibe, Em Rexer, et al.
Authorea (Authorea) (2024)
Open Access
Stefan F. Gary, Tim Scheibe, Em Rexer, et al.
Authorea (Authorea) (2024)
Open Access
Opening Doors to Physical Sample Data Discovery, Integration, and Credit
Joan Damerow, Natalie H. Raia, V. L. Stanley, et al.
EarthArXiv (California Digital Library) (2024)
Open Access
Joan Damerow, Natalie H. Raia, V. L. Stanley, et al.
EarthArXiv (California Digital Library) (2024)
Open Access
Prediction of Distributed River Sediment Respiration Rates Using Community‐Generated Data and Machine Learning
Stefan F. Gary, Tim Scheibe, Em Rexer, et al.
Journal of Geophysical Research Machine Learning and Computation (2024) Vol. 1, Iss. 3
Open Access
Stefan F. Gary, Tim Scheibe, Em Rexer, et al.
Journal of Geophysical Research Machine Learning and Computation (2024) Vol. 1, Iss. 3
Open Access
Linkages Between Mineral Element Composition of Soils and Sediments With Hyporheic Zone Dissolved Organic Matter Chemistry Across the Contiguous United States
Alan Roebuck, Kenton Rod, Vanessa Garayburu‐Caruso, et al.
Geophysical Research Letters (2024) Vol. 51, Iss. 6
Open Access
Alan Roebuck, Kenton Rod, Vanessa Garayburu‐Caruso, et al.
Geophysical Research Letters (2024) Vol. 51, Iss. 6
Open Access
Machine-learning based approach to examine ecological processes influencing the diversity of riverine dissolved organic matter composition
Moritz Müller, Juliana D’Andrilli, Victoria Silverman, et al.
Frontiers in Water (2024) Vol. 6
Open Access
Moritz Müller, Juliana D’Andrilli, Victoria Silverman, et al.
Frontiers in Water (2024) Vol. 6
Open Access
Integrated, Coordinated, Open, and Networked (ICON) Scientific and Societal Relevance
Monika Sikand, Elizabeth Avery, Claire N. Friedrichsen, et al.
Earth and Space Science (2023) Vol. 10, Iss. 2
Closed Access
Monika Sikand, Elizabeth Avery, Claire N. Friedrichsen, et al.
Earth and Space Science (2023) Vol. 10, Iss. 2
Closed Access
Linkages between mineral element composition of soils and sediments with hyporheic zone dissolved organic matter chemistry across the contiguous United States
Alan Roebuck, Vanessa Garayburu‐Caruso, Rosalie Chu, et al.
Authorea (Authorea) (2023)
Open Access
Alan Roebuck, Vanessa Garayburu‐Caruso, Rosalie Chu, et al.
Authorea (Authorea) (2023)
Open Access
