Li Ma
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Also affiliated: United States Food and Drug Administration (2025); The University of Texas MD Anderson Cancer Center (2025); Shandong University of Traditional Chinese Medicine (2025); Xinjiang Medical University (2025); Harbin Medical University (2025); Sun Yat-sen University (2025); Xuzhou Medical College (2025); Shanghai Jiao Tong University (2025); Capital Medical University (2025); Peking University (2025); Fudan University (2025); Xi'an Polytechnic University (2025); Third Affiliated Hospital of Harbin Medical University (2025); Beijing Chest Hospital (2025); Peking University First Hospital (2025); University of Pittsburgh Medical Center (2025); Shanghai Children's Hospital (2025); Second Affiliated Hospital of Shandong University of TCM (2025); Qiqihar Medical University (2024); The University of Texas Health Science Center at Houston (2025)
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Biography and Research Information
OverviewAI-generated summary
Li Ma's research focuses on the intersection of artificial intelligence, natural language processing, and health sciences. Recent work includes an AI-powered topic modeling study comparing LDA and BERTopic for analyzing opioid-related cardiovascular risks in women. Ma has also investigated ferroptosis, a form of regulated cell death, in the context of immune suppression in sickle cell disease and its role in ovarian cancer treatment via copper-based nanoparticles. Other research areas involve exploring transcriptomic insights into obesity and type 2 diabetes progression, the evaluation of cyber ethics literacy for clinical nurses, and the validation of the Anticipatory Grief Scale. Ma has a publication record of 16 papers and a citation count of 109, with an h-index of 6.
Metrics
- h-index: 6
- Publications: 15
- Citations: 137
Selected Publications
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AI-powered topic modeling: comparing LDA and BERTopic in analyzing opioid-related cardiovascular risks in women (2025)
Collaboration Network
Top Collaborators
- AI-powered topic modeling: comparing LDA and BERTopic in analyzing opioid-related cardiovascular risks in women
- AI-powered topic modeling: comparing LDA and BERTopic in analyzing opioid-related cardiovascular risks in women
- AI-powered topic modeling: comparing LDA and BERTopic in analyzing opioid-related cardiovascular risks in women
- AI-powered topic modeling: comparing LDA and BERTopic in analyzing opioid-related cardiovascular risks in women
- AI-powered topic modeling: comparing LDA and BERTopic in analyzing opioid-related cardiovascular risks in women
- AI-powered topic modeling: comparing LDA and BERTopic in analyzing opioid-related cardiovascular risks in women
- AI-powered topic modeling: comparing LDA and BERTopic in analyzing opioid-related cardiovascular risks in women
- AI-powered topic modeling: comparing LDA and BERTopic in analyzing opioid-related cardiovascular risks in women
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