Ting Li

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High Impact

Postdoctoral

NCTR primary UA Little Rock UAMS

Also affiliated: University of North Carolina at Charlotte (2018); Shenyang Pharmaceutical University (2016–2024); Qingdao University (2021); Xi'an University of Science and Technology (2023); Jiangnan University (2025); Beijing Language and Culture University (2023); Beijing Institute of Technology (2020–2022); Beijing Tongren Hospital (2016–2023); United States Food and Drug Administration (2019–2025); Ministry of Education of the People's Republic of China (2026); Nanjing Tech University (2016); Southwest University (2022); Radboud University Nijmegen (2020); Shandong University (2012); Harbin Medical University (2022); Jinan University (2024); Xuzhou Medical College (2024); Beijing Technology and Business University (2024); Capital Medical University (2016–2023); South China Normal University (2022); Xiamen University (2023); Jilin University (2021); Chinese Academy of Sciences (2025); University of Washington (2007); Peking University (2023); Sichuan University (2023); Beijing Normal University (2019); Inner Mongolia University (2023); State Administration of Traditional Chinese Medicine of the People's Republic of China (2024); University of Arkansas Medical Center (2023); Shanghai Mental Health Center (2011); Radboud University Medical Center (2020); China University of Geosciences (2024); Wuhan University (2025); Soochow University (2016); Affiliated Hospital of Southwest Medical University (2025); West China Hospital of Sichuan University (2023); Ministry of Education (2022); Dalian University (2017); Yunnan Institute For Drug Abuse (2025); Yan'an University (2023); Ezhou Central Hospital (2024); Nanjing Institute of Geology and Paleontology (2025); Third Affiliated Hospital of Harbin Medical University (2022); Shanghai Institute of Materia Medica (2012); Gansu Provincial Hospital (2016); Shenyang First People's Hospital (2023); Zhujiang Hospital (2021); Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine (2022); Peking University People's Hospital (2023); Second Affiliated Hospital of Soochow University (2016); Chengdu University (2022); Women’s Health Care (2016); National Center for Drug Screening (2012); Zhejiang Provincial People's Hospital (2021); Jiangxi Mental Health Center (2025); Beijing Institute of Graphic Communication (2022); Renmin Hospital of Wuhan University (2025); Arkansas Children's Nutrition Center (2020); Food and Drug Administration (2025); First Affiliated Hospital of Harbin Medical University (2022); Shanghai Changning Mental Health Center (2016–2024); Henan Polytechnic University (2024); First Affiliated Hospital Zhejiang University (2022); Huazhong University of Science and Technology (2024); L-3 Communications (United States) (2020); Sichuan Normal University (2022–2025); Xi’an Jiaotong-Liverpool University (2012–2022); Zhejiang Gongshang University (2007–2011); Beihang University (2018); Taiyuan University of Technology (2020); Guangzhou Medical University (2018)

Postdoc Researcher

23 h-index 107 pubs 2,018 cited

Upstream record may be merged OpenAlex, the source of these figures, lists 75 institutions in 5 countries for this author record — a pattern that usually means it combines several researchers with similar names. The totals above may include work by other people.

Research Areas

Biomedical Subjects

Links

ORCID Research Group

OverviewAI-generated summary

Ting Li's research has focused on the application of advanced imaging techniques and computational methods to understand neurological conditions, particularly Alzheimer's disease (AD) and mild cognitive impairment (MCI). Li has investigated the disrupted balance of long and short-range functional connectivity density in AD and MCI patients using resting-state functional magnetic resonance imaging (fMRI). Further studies have examined the temporal dynamic changes of intrinsic brain activity in these patient populations through similar fMRI methods.

In addition to neuroimaging, Li's work has explored the predictive capabilities of artificial intelligence in health contexts. This includes the development of DeepCarc, a deep learning model for carcinogenicity prediction. Li has also explored the influence of virtual AI streamers on consumer behavior in livestream shopping, considering persuasive factors and arousal.

With a career spanning over 105 publications and an h-index of 23, Li has demonstrated significant productivity and impact, evidenced by a citation count of 1,961 and designation as a highly cited researcher. Key collaborators include Weida Tong and Skylar Connor from the National Center for Toxicological Research, with whom Li has co-authored multiple publications.

Metrics

h-index: 23
Publications: 107
Citations: 2,018

Selected Publications

Integrating in vitro and in silico NAMs for enhanced prediction of drug-induced liver injury (2026)

DOI OpenAlex
Beyond QSARs: Quantitative Knowledge–Activity Relationships (QKARs) for enhanced drug toxicity prediction (2025)

Toxicological Sciences 4 citations DOI OpenAlex
AIVIVE: a novel AI framework for enhanced <i>in vitro</i> to <i>in vivo</i> extrapolation (IVIVE) of toxicogenomics data (2025)

Toxicological Sciences 4 citations DOI OpenAlex
Federated learning: a privacy-preserving approach to data-centric regulatory cooperation (2025)

Frontiers in Drug Safety and Regulation 9 citations DOI OpenAlex
DICTrank Is a Reliable Dataset for Cardiotoxicity Prediction Using Machine Learning Methods (2025)

Chemical Research in Toxicology 5 citations DOI OpenAlex
Bridging organ transcriptomics for advancing multiple organ toxicity assessment with a generative AI approach (2024)

npj Digital Medicine 18 citations DOI OpenAlex
Generation of a drug-induced renal injury list to facilitate the development of new approach methodologies for nephrotoxicity (2024)

Drug Discovery Today 21 citations DOI OpenAlex