Skip to main content
LU CHEN on Muck Rack

LU CHEN

As seen in: Nature, Wiley Online Library, British Pharmacological Society, Elsevier, Frontiers, Frontiers in Marine Science, Frontiers in Public Health, Taylor & Francis Online, ACS Publications, JAMA Network and

Get in touch with LU

Contact LU, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Articles

Sustainable Production of Amide-Based Fungicidal Agents from Lignin β-O-4 Motifs and Alcohols Click to copy article link Article link copied!

|
By LU CHEN, Xiaoli Lou, Yaqiu Zhao
| ACS Publications
Cite Jump to ExpandCollapse Biofuels and Biobased MaterialsJuly 16, 2026 Sustainable Production of Amide-Based Fungicidal Agents from Lignin β-O-4 Motifs and Alcohols Click to copy article linkArticle link copied! Lu Chen* Lu Chen College of Materials Engineering, Fujian Agriculture and Forestry University, Fuzhou 350002, China *Email: [email protected] Xiaoli Lou Xiaoli Lou College of Plant Protection, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, China Yaqiu Zhao Yaqiu...
Open in Who Shared Issue with article?

Reconfigurable single-shot spectroscopy reaching 86 femtometers resolution

|
By Tianwei Jiang, Jie Li, LU CHEN, Hongcui Zhang, Shangsu Ding, Georg Herink, Shan Yin, Song Yu, Bin Luo
| Nature Verified
Abstract Single-shot spectroscopy enables the capture of an entire transient event within a single measurement, providing critical insights into rapid and non-repetitive processes across diverse fields such as biomedical diagnostics, environmental monitoring, material stress analysis, advanced manufacturing, and telecommunication network fluctuation detection.
Open in Who Shared Issue with article?

ProLM: a plasma proteomics pretrained model for the general population

|
By Shizheng Qiu, Ming Zhao, Xin McRae Chen, Zhishuai Zhang, Xu Sun, Jirui Guo, Yu Guo, LU CHEN, Jun Lv, Dianjianyi Sun, Yiping Chen, Huaidong Du, Zhengming Chen, Yang Hu, Guiyou Liu, Canqing Yu, Yadong Wang, Huanyu You, Haozheng Liang
| Nature Verified
Abstract Plasma proteomics can provide a dynamic molecular readout of human health, but models that learn generalizable protein-expression patterns in population cohorts remain limited. Here we show that ProLM, a BERT-based plasma proteomics model pretrained on 15,499 relatively healthy UK Biobank participants, captures baseline protein-expression relationships and supports prediction of 16 common chronic diseases.
Open in Who Shared Issue with article?
See all 116 licensed articles (125 Total)