← back to search

Lihua Li

South China Agricultural University · CN
🔎 Find collaborators in Artificial Intelligence · Radiology, Nuclear Medicine and Imaging →
Search 5.9M scientists by topic, h-index, country & funding — free.
Area of research
Artificial Intelligence · Radiology, Nuclear Medicine and Imaging
Research interest
Research focused on Firmicutes and Burn wound, with related work in Shrimp, Segmentation, Crayfish. Notable publications include 'A Rapid, Accurate and Machine-Agnostic Segmentation and Quantification Method for CT-Based COVID-19 Diagnosis', 'Effects of nanoplastic exposure on the immunity and metabolism of red crayfish (Cherax quadricarinatus) based on high-throughput sequencing', and 'Structural Insights into the Stability and Recognition Mechanism of the Antiquinalphos Nanobody for the Detection of Quinalphos in Foods'.
h-index
citations
255
works
5
NIH funding
primary concept
email

Recent publications

Self-healing sodium alginate-PEDOT:PSS conductive hydrogel for accelerated burn wound healing and real-time monitoring
Chemical Engineering Journal 2025cited by 6position: lastdoi
Effect of eyestalk ablation and water temperature on the gonadal transcriptome of greasyback shrimp (Metapenaeus ensis)
Aquaculture Reports 2024cited by 1position: middledoi
Structural Insights into the Stability and Recognition Mechanism of the Antiquinalphos Nanobody for the Detection of Quinalphos in Foods
Analytical Chemistry 2023cited by 20position: middledoi
Effects of nanoplastic exposure on the immunity and metabolism of red crayfish (Cherax quadricarinatus) based on high-throughput sequencing
Ecotoxicology and Environmental Safety 2022cited by 26position: middledoi
Delivery room resuscitation and short-term outcomes of extremely preterm and extremely low birth weight infants: a multicenter survey in North China
Chinese Medical Journal 2021cited by 11position: middledoi
A Rapid, Accurate and Machine-Agnostic Segmentation and Quantification Method for CT-Based COVID-19 Diagnosis
IEEE Transactions on Medical Imaging 2020cited by 197position: middledoi

Grants

No grants ingested yet.

Frequent collaborators

Huihong Zhao · South China Agricultural University2 papers (2022–2024)Jinhong Shan · South China Agricultural University2 papers (2022–2024)Xianze Jia · South China Agricultural University2 papers (2022–2024)Kaishan Liang · South China Agricultural University2 papers (2022–2024)Huitao Cheng · South China Agricultural University2 papers (2022–2024)Xinhe Ruan · South China Agricultural University2 papers (2022–2024)Xin Gao · Fudan University1 papers (2020–2020)Chunli Zhang · Georgia Institute of Technology1 papers (2022–2022)Yu-Peng Chen · University of Florida1 papers (2020–2020)Zongyang Li · South China Agricultural University1 papers (2024–2024)Jinhuan Tian · Ministry of Education of the People's Republic of China1 papers (2025–2025)Zhongxiao Li · King Abdullah University of Science and Technology1 papers (2020–2020)Hong Wang · University of California, Davis1 papers (2023–2023)Yuxin Huang · Fudan University1 papers (2020–2020)Lingling Xie · South China Agricultural University1 papers (2023–2023)Shuyun Zhang · Nanchang University1 papers (2025–2025)Kun Wu · South China Agricultural University1 papers (2024–2024) · 1 papers (2020–2020)Rui Huang · Nanjing Tech University1 papers (2025–2025)Qing Wang · South China Agricultural University1 papers (2024–2024)
Looking for a research collaborator?
Search millions of scientists by field, institution, impact, and funding status — see their work, find their email, and reach out directly.
Find collaborators in Artificial Intelligence · Radiology, Nuclear Medicine and Imaging →