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:

Text mining for identifying topics in the literatures about adolescent substance use and depression
Shi‐Heng Wang, Yijun Ding, Weizhong Zhao, et al.
BMC Public Health (2016) Vol. 16, Iss. 1
Open Access | Times Cited: 91

Showing 1-25 of 91 citing articles:

Text Mining in Big Data Analytics
Hossein Hassani, Christina Beneki, Stephan Unger, et al.
Big Data and Cognitive Computing (2020) Vol. 4, Iss. 1, pp. 1-1
Open Access | Times Cited: 247

Biomedical Text Categorization Based on Ensemble Pruning and Optimized Topic Modelling
Aytuğ Onan
Computational and Mathematical Methods in Medicine (2018) Vol. 2018, pp. 1-22
Open Access | Times Cited: 149

Unwanted advances in higher education:Uncovering sexual harassment experiences in academia with text mining
Amir Karami, C. Nicole White, Kayla Ford, et al.
Information Processing & Management (2019) Vol. 57, Iss. 2, pp. 102167-102167
Open Access | Times Cited: 77

Text mining of hypertension researches in the west Asia region: a 12-year trend analysis
Mohammad Rezapour, Mohsen Yazdinejad, Faezeh Rajabi Kouchi, et al.
Renal Failure (2024) Vol. 46, Iss. 1
Open Access | Times Cited: 7

Sustainable aquaculture over the last 30 years: An analysis of the scientific literature by the Text Mining approach
Isabella Tucciarone, Giulia Secci, Barbara Contiero, et al.
Reviews in Aquaculture (2024) Vol. 16, Iss. 4, pp. 2064-2076
Closed Access | Times Cited: 7

ACE domains and depression: Investigating which specific domains are associated with depression in adulthood
Zachary Giano, Campbell Ernst, Kelsey Snider, et al.
Child Abuse & Neglect (2021) Vol. 122, pp. 105335-105335
Closed Access | Times Cited: 40

Challenging suicide, burnout, and depression among veterinary practitioners and students: text mining and topics modelling analysis of the scientific literature
Marta Brščić, Barbara Contiero, Alessandro Schianchi, et al.
BMC Veterinary Research (2021) Vol. 17, Iss. 1
Open Access | Times Cited: 38

The Welfare of Beef Cattle in the Scientific Literature From 1990 to 2019: A Text Mining Approach
Elena Nalon, Barbara Contiero, Flaviana Gottardo, et al.
Frontiers in Veterinary Science (2021) Vol. 7
Open Access | Times Cited: 33

Analyzing Consequences of Artificial Intelligence on Jobs using Topic Modeling and Keyword Extraction
Loveleen Gaur, N. Z. Jhanjhi, Sumedha Bakshi, et al.
2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM) (2022), pp. 435-440
Closed Access | Times Cited: 24

Topic Modeling Techniques for Text Mining Over a Large-Scale Scientific and Biomedical Text Corpus
Sandhya Avasthi, Ritu Chauhan, D. P. Acharjya
International Journal of Ambient Computing and Intelligence (2022) Vol. 13, Iss. 1, pp. 1-18
Closed Access | Times Cited: 23

Analyzing research trends on drug safety using topic modeling
Chen Zou
Expert Opinion on Drug Safety (2018) Vol. 17, Iss. 6, pp. 629-636
Closed Access | Times Cited: 46

Topic Modeling Technique for Text Mining Over Biomedical Text Corpora Through Hybrid Inverse Documents Frequency and Fuzzy K-Means Clustering
Junaid Rashid, Syed Muhammad Adnan Shah, Aun Irtaza, et al.
IEEE Access (2019) Vol. 7, pp. 146070-146080
Open Access | Times Cited: 42

Application of Text Mining Techniques on Scholarly Research Articles: Methods and Tools
Khusbu Thakur, Vinit Kumar
New Review of Academic Librarianship (2021) Vol. 28, Iss. 3, pp. 279-302
Closed Access | Times Cited: 30

Text mining of Reddit posts: Using latent Dirichlet allocation to identify common parenting issues
Elizabeth M. Westrupp, Christopher Greenwood, Matthew Fuller‐Tyszkiewicz, et al.
PLoS ONE (2022) Vol. 17, Iss. 2, pp. e0262529-e0262529
Open Access | Times Cited: 20

Dromedary camel’s welfare: literature from 1980 to 2023 with a text mining and topic analysis approach
Naod Thomas Masebo, Martina Zappaterra, Martina Felici, et al.
Frontiers in Veterinary Science (2023) Vol. 10
Open Access | Times Cited: 13

Analysis and prospect of clinical psychology based on topic models: hot research topics and scientific trends in the latest decades
Shuang Liu, Ru‐Yuan Zhang, Tomoko Kishimoto
Psychology Health & Medicine (2020) Vol. 26, Iss. 4, pp. 395-407
Closed Access | Times Cited: 29

Use of internet of things for chronic disease management: An overview
Mehdi Dadkhah, Mohammad Mehraeen, Fariborz Rahimnia, et al.
Journal of Medical Signals & Sensors (2021) Vol. 11, Iss. 2, pp. 138-157
Open Access | Times Cited: 24

Perceived barriers to psychiatric help-seeking in South Korea by age groups: text mining analyses of social media big data
Hwo Yeon Seo, Gil Young Song, Jee Won Ku, et al.
BMC Psychiatry (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 17

AI-powered topic modeling: comparing LDA and BERTopic in analyzing opioid-related cardiovascular risks in women
Lan Ma, Ru Chen, Weigong Ge, et al.
Experimental Biology and Medicine (2025) Vol. 250
Open Access

Machine Learning-Based Classification of 38 Years of Spine-Related Literature Into 100 Research Topics
David C. Sing, Lionel N. Metz, Stefan Dudli
Spine (2017) Vol. 42, Iss. 11, pp. 863-870
Closed Access | Times Cited: 32

Topics and trends in Mountain Livestock Farming research: a text mining approach
Anna Zuliani, Barbara Contiero, Manuel K. Schneider, et al.
animal (2020) Vol. 15, Iss. 1, pp. 100058-100058
Open Access | Times Cited: 27

A review of horse welfare literature from 1980 to 2023 with a text mining and topic analysis approach
Beatrice Benedetti, Martina Felici, Leonardo Nanni Costa, et al.
Italian Journal of Animal Science (2023) Vol. 22, Iss. 1, pp. 1095-1109
Open Access | Times Cited: 9

Enteric Methane Emission in Livestock Sector: Bibliometric Research from 1986 to 2024 with Text Mining and Topic Analysis Approach by Machine Learning Algorithms
Chiara Evangelista, Marco Milanesi, Daniele Pietrucci, et al.
Animals (2024) Vol. 14, Iss. 21, pp. 3158-3158
Open Access | Times Cited: 3

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