Yining Hua

649 total citations
23 papers, 184 citations indexed

About

Yining Hua is a scholar working on Artificial Intelligence, Social Psychology and Sociology and Political Science. According to data from OpenAlex, Yining Hua has authored 23 papers receiving a total of 184 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Social Psychology and 5 papers in Sociology and Political Science. Recurrent topics in Yining Hua's work include Mental Health via Writing (6 papers), Machine Learning in Healthcare (5 papers) and Misinformation and Its Impacts (5 papers). Yining Hua is often cited by papers focused on Mental Health via Writing (6 papers), Machine Learning in Healthcare (5 papers) and Misinformation and Its Impacts (5 papers). Yining Hua collaborates with scholars based in United States, China and Hong Kong. Yining Hua's co-authors include Jie Yang, Yi Liu, Peilin Zhou, David W. Bates, Minghui Li, Li Zhou, Li Zhou, Joseph M. Plasek, Yueqi Xie and Sung Hun Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Medical Internet Research.

In The Last Decade

Yining Hua

20 papers receiving 174 citations

Peers

Yining Hua

SPS

CVPR

Tanmay Basu India

Xiaolei Huang United States

Matthew J. Vowels United Kingdom

Jérémie Clos United Kingdom

Lingyun Shi United States

Luca Soldaini United States

Julia Ive United Kingdom

Aloni Cohen United States

Ivan Smirnov Russia

Mario Jojoa Spain

Tanmay Basu India

Yining Hua

154 ×2.3

44 ×1.0

27 ×0.7

SPS

24 ×0.6

CVPR

14 ×0.5

Citations per year, relative to Yining Hua Yining Hua (= 1×) peers Tanmay Basu

Countries citing papers authored by Yining Hua

Since Specialization

Citations

This map shows the geographic impact of Yining Hua's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yining Hua with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yining Hua more than expected).

Fields of papers citing papers by Yining Hua

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yining Hua. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yining Hua. The network helps show where Yining Hua may publish in the future.

Co-authorship network of co-authors of Yining Hua

This figure shows the co-authorship network connecting the top 25 collaborators of Yining Hua. A scholar is included among the top collaborators of Yining Hua based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yining Hua. Yining Hua is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Hua, Yining, David W. Bates, Michael Lingzhi Li, et al.. (2025). Standardizing and Scaffolding Health Care AI-Chatbot Evaluation: Systematic Review. PubMed. 4. e69006–e69006.

Hua, Yining, et al.. (2025). Riemannian Geometry for the Classification of Brain States with Intracortical Brain Recordings. Advanced Intelligent Systems. 8(2).

Wang, Liqin, Claire Cook, Yining Hua, et al.. (2025). Identification of an ANCA-associated vasculitis cohort using deep learning and electronic health records. International Journal of Medical Informatics. 196. 105797–105797. 1 indexed citations

Liu, Fenglin, Hongjian Zhou, Yining Hua, et al.. (2025). Application of large language models in medicine. Nature Reviews Bioengineering. 3(6). 445–464. 12 indexed citations

Hua, Yining, et al.. (2025). Characterizing Public Sentiments and Drug Interactions in the COVID-19 Pandemic Using Social Media: Natural Language Processing and Network Analysis. Journal of Medical Internet Research. 27. e63755–e63755. 1 indexed citations

Hua, Yining, Kailai Yang, Yi-han Sheu, et al.. (2025). Large Language Models in Mental Health Care: A Scoping Review. Current Treatment Options in Psychiatry. 12(1). 5 indexed citations

Hua, Yining, et al.. (2025). Analysis of longitudinal social media for monitoring symptoms during a pandemic. Journal of Biomedical Informatics. 162. 104778–104778. 1 indexed citations

Hua, Yining, et al.. (2025). From statistics to deep learning: Using large language models in psychiatric research. International Journal of Methods in Psychiatric Research. 34(1). e70007–e70007. 2 indexed citations

Chen, Jian, Peilin Zhou, Yining Hua, et al.. (2024). FinTextQA: A Dataset for Long-form Financial Question Answering. 6025–6047. 2 indexed citations

10.

Zhang, Zhiyun, Yining Hua, Peilin Zhou, et al.. (2024). Sexual and Gender-Diverse Individuals Face More Health Challenges during COVID-19: A Large-Scale Social Media Analysis with Natural Language Processing. SHILAP Revista de lepidopterología. 4. 127–127. 1 indexed citations

11.

Wang, Yaqi, Cheng Cheng, Liyuan Tao, et al.. (2024). PM2.5 constituents associated with mortality and kidney failure in childhood-onset lupus nephritis: A 19-year cohort study. The Science of The Total Environment. 949. 175333–175333. 4 indexed citations

12.

Liu, Fenglin, Hongjian Zhou, Qingyu Yin, et al.. (2024). Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark. 13696–13710. 3 indexed citations

13.

Hua, Yining, et al.. (2023). DKTNet: Dual-Key Transformer Network for small object detection. Neurocomputing. 525. 29–41. 39 indexed citations

14.

Hua, Yining, et al.. (2023). Trend and Co-occurrence Network of COVID-19 Symptoms From Large-Scale Social Media Data: Infoveillance Study. Journal of Medical Internet Research. 25. e45419–e45419. 9 indexed citations

15.

Wu, Xian, et al.. (2023). Exploring Social Media for Early Detection of Depression in COVID-19 Patients. arXiv (Cornell University). 3968–3977. 11 indexed citations

16.

Hua, Yining, Liqin Wang, Alex McDowell, et al.. (2023). A deep learning approach for transgender and gender diverse patient identification in electronic health records. Journal of Biomedical Informatics. 147. 104507–104507. 3 indexed citations

17.

Zhou, Peilin, et al.. (2023). Equivariant Contrastive Learning for Sequential Recommendation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 129–140. 11 indexed citations

18.

Xie, Yueqi, et al.. (2023). Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 283–293. 9 indexed citations

19.

Zhou, Peilin, et al.. (2023). GreenPLM: Cross-Lingual Transfer of Monolingual Pre-Trained Language Models at Almost No Cost. 6290–6298. 8 indexed citations

20.

Li, Minghui, Yining Hua, Yanhui Liao, et al.. (2022). Tracking the Impact of COVID-19 and Lockdown Policies on Public Mental Health Using Social Media: Infoveillance Study. Journal of Medical Internet Research. 24(10). e39676–e39676. 14 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact