Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Using machine learning to identify clotted specimens in coagulation testing
Kui Fang, Zheqing Dong, Xiling Chen, et al.
Clinical Chemistry and Laboratory Medicine (CCLM) (2021) Vol. 59, Iss. 7, pp. 1289-1297
Closed Access | Times Cited: 19

Showing 19 citing articles:

Applications of machine learning in routine laboratory medicine: Current state and future directions
Naveed Rabbani, Grace Y.E. Kim, Carlos J. Suarez, et al.
Clinical Biochemistry (2022) Vol. 103, pp. 1-7
Open Access | Times Cited: 67
Integration of artificial intelligence in clinical laboratory medicine: Advancements and challenges
Heying Xie, Yin Jia, Shanrong Liu
Deleted Journal (2024) Vol. 2, Iss. 3
Open Access | Times Cited: 8
Guidance-Based Appropriateness of Hemostasis Testing in the Acute Setting
Luigi Devis, Deepa J. Arachchillage, Michaël Hardy, et al.
Hämostaseologie (2025) Vol. 45, Iss. 01, pp. 024-048
Closed Access | Times Cited: 1
Clinlabomics: leveraging clinical laboratory data by data mining strategies
Xiaoxia Wen, Ping Leng, Jiasi Wang, et al.
BMC Bioinformatics (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 34
Machine learning in the coagulation and hemostasis arena: an overview and evaluation of methods, review of literature, and future directions
Hooman H. Rashidi, Kelly Bowers, Morayma Reyes Gil
Journal of Thrombosis and Haemostasis (2023) Vol. 21, Iss. 4, pp. 728-743
Open Access | Times Cited: 21
Machine learning-based clinical decision support using laboratory data
Hikmet Can Çubukçu, Deniz İlhan Topçu, Sedef Yenice
Clinical Chemistry and Laboratory Medicine (CCLM) (2023) Vol. 62, Iss. 5, pp. 793-823
Open Access | Times Cited: 18
Artificial intelligence and machine learning in hemostasis and thrombosis
Paolo Gresele
Bleeding Thrombosis and Vascular Biology (2024) Vol. 2, Iss. 4
Open Access | Times Cited: 4
Artificial intelligence in the pre-analytical phase: State-of-the art and future perspectives
Giuseppe Lippi, Camilla Mattiuzzi, Emmanuel J. Favaloro
Journal of Medical Biochemistry (2023) Vol. 43, Iss. 1, pp. 1-10
Open Access | Times Cited: 8
Hematology and Machine Learning
Amrom E. Obstfeld
The Journal of Applied Laboratory Medicine (2022) Vol. 8, Iss. 1, pp. 129-144
Closed Access | Times Cited: 13
Artificial Intelligence: A Next-Level Approach in Confronting the COVID-19 Pandemic
V. Mahalakshmi, Awatef Salem Balobaid, B. Kanisha, et al.
Healthcare (2023) Vol. 11, Iss. 6, pp. 854-854
Open Access | Times Cited: 7
Machine Learning Approach towards Quality Assurance, Challenges and Possible Strategies in Laboratory Medicine
Qurrat ul Ain, Rameesha Nazir, Aleeza Nawaz, et al.
Journal of Clinical and Translational Pathology (2024) Vol. 4, Iss. 2, pp. 76-87
Open Access | Times Cited: 2
Building the Model
He S. Yang, Daniel D. Rhoads, Jorge L. Sepulveda, et al.
Archives of Pathology & Laboratory Medicine (2022) Vol. 147, Iss. 7, pp. 826-836
Open Access | Times Cited: 11
Artificial Intelligence Applications in Clinical Chemistry
Dustin R. Bunch, Thomas J S Durant, Joseph W. Rudolf
Clinics in Laboratory Medicine (2022) Vol. 43, Iss. 1, pp. 47-69
Closed Access | Times Cited: 8
Integration of Federated Learning and Blockchain in Healthcare: A Tutorial
Yahya Shahsavari, Oussama Abderrahmane Dambri, Yaser Baseri, et al.
(2024)
Open Access | Times Cited: 1
Combining Computational Modelling and Machine Learning to Identify COVID-19 Patients with a High Thromboembolism Risk
Anass Bouchnita, Anastasia Mozokhina, Patrice Nony, et al.
Mathematics (2023) Vol. 11, Iss. 2, pp. 289-289
Open Access | Times Cited: 2
Thrombin Generation Thresholds for Coagulation Initiation under Flow
Anass Bouchnita, Kanishk Yadav, Jean-Pierre Llored, et al.
Axioms (2023) Vol. 12, Iss. 9, pp. 873-873
Open Access | Times Cited: 2
Developing and validating a highly sensitive platelet clump detection model for the Sysmex haematology analyser
Kui Fang, Xiling Chen, Zheqing Dong, et al.
Annals of Clinical Biochemistry International Journal of Laboratory Medicine (2023) Vol. 60, Iss. 2, pp. 126-135
Closed Access | Times Cited: 1
Machine learning and coagulation testing: the next big thing in hemostasis investigations?
Emmanuel J. Favaloro, Davide Negrini
Clinical Chemistry and Laboratory Medicine (CCLM) (2021) Vol. 59, Iss. 7, pp. 1177-1179
Open Access | Times Cited: 3
Evaluation of four quality indicators of the Pre-Analytical Phase External Quality Assessment Subprogram of the Fundación Bioquímica Argentina.
Gisela Unger, Silvia Fabiana Benozzi, Raúl Girardi, et al.
PubMed (2023) Vol. 34, Iss. 3, pp. 203-212
Closed Access
Page 1

Scroll to top