Linlin Li
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
Publications
38
Citations
254
Est. group size
~16
Recurring co-author estimate
Active years
18
Publishing since 2009
The bibliographic record attributed to 'Linlin Li' appears to combine work from multiple distinct research areas, including magnetic skyrmion physics, machine learning applications (image segmentation, graph analysis, land use prediction), and energy/economic studies, rather than a single coherent research program. Because of this apparent mixing of unrelated topics under one name, it is difficult to describe a unified research focus for this individual based on the available data. Prospective students should verify which specific publications and topics belong to the PI they are considering before drawing conclusions.
Publication output has grown over the last decade, rising from about 1 paper per year in 2017 to 8 in 2025, suggesting an increasing or accelerating publication rate, though this may reflect aggregation of multiple authors sharing the same name.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Land Use Change Prediction Model Combining Remote Sensing Images, Meteorological Data and Machine Learning
Procedia Computer Science · 2025
- Dynamics of skyrmions in synthetic ferrimagnetic materials
Physical review. B./Physical review. B · 2024
- Influence maximization for heterogeneous networks based on self-supervised clustered heterogeneous graph transformer
Pattern Recognition · 2024
- Edge Effect of Synthetic Antiferromagnetic Skyrmion in Nanotrack
SSRN Electronic Journal · 2024
- Generation and manipulation of skyrmions and other topological spin structures with rare metals
Rare Metals · 2022
- Skyrmion-based logic gates controlled by electric currents in synthetic antiferromagnet
Chinese Physics B · 2022
- Energy consumption and economic growth in China’s marine economic zones-an estimation based on partial linear model
Energy · 2020
- An Effective Encoder-Decoder Network for Neural Cell Bodies and Cell Nucleus Segmentation of EM Images
2019
- Automatic Classification for the Type of Multiple Synapse Based on Deep Learning
2019
- A green a natural method for removing of nitride from light oil by a#946;-Cyclodextrin aqueous solution through molecular recognition
2017
- Research on Comprehensive Evaluation of Low Carbon Economy Development Level Based on AHP-Entropy Method: A Case Study of Dalian
Energy Procedia · 2016
- bioRxiv (Cold Spring Harbor Laboratory)×7
- Rare Metals×1
- Energy×1
- Frontiers in Systems Biology×1
- Physical review. B./Physical review. B×1
- David M. Umulis
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
- James A. Glazier
Biochemistry, Genetics and Molecular Biology · Indiana University
- Daniel E. Conway
Biochemistry, Genetics and Molecular Biology · The Ohio State University
- Ahmad I. M. Athamneh
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
- Adriana T. Dawes
Biochemistry, Genetics and Molecular Biology · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile