Wanru Li
Computer Science · Purdue University West Lafayette
Publications
58
Citations
1,380
Est. group size
~4
Recurring co-author estimate
Active years
10
Publishing since 2016
This bibliographic record appears to combine work from multiple distinct researchers sharing the name Wanru Li, spanning topics such as phishing detection and explainable AI, machine learning for predictive maintenance (e.g., turbofan engine remaining useful life), water resource optimization, plus unrelated chemistry, materials science, and biomedical topics. The computer science-relevant work centers on anti-phishing systems using explainable AI and transformer-based deep learning models for predicting equipment remaining useful life. Because the data mixes unrelated fields, it likely reflects a name-matching artifact rather than one coherent research program.
Publication counts grew substantially from 2017 to a peak in 2023, then show a slight decline through 2024-2025, though this trend may reflect merged records from multiple same-named authors rather than one individual's activity.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Fluorenone-Based COFs with Electron-Relay Function for Highly Efficient Photocatalytic Uranium Extraction from Wastewater
ACS Applied Materials & Interfaces · 2025
- Phenotypic Traits, Hormonal Distribution, and Metabolite Profiling of Isatis indigotica Seeds from 21 Samples in China: A Traditional Chinese Medicinal Herb
Plants · 2025
- Methane Elimination upon Collision-Activated Dissociation of Selected Product Ions Formed Upon Gas-Phase Reactions of (Isopropenyloxy)trimethylsilane Facilitates the Mass Spectrometric Classification of Specific Oxygen- and/or Nitrogen-Containing Compounds
Journal of the American Society for Mass Spectrometry · 2025
- Triple-N Dataset: Non-human Primate Neural Responses to Natural Scenes
bioRxiv (Cold Spring Harbor Laboratory) · 2025
- Triple-N Dataset: Non-human Primate Neural Responses to Natural Scenes
Journal of Vision · 2025
- PerFormer: A Permutation Based Vision Transformer for Remaining Useful Life Prediction
arXiv (Cornell University) · 2025
- Determination of the Weight Percent of Aromatic Compounds in a Heavy Fuel Oil by Using Flash Chromatography and Solid‐phase Extraction Coupled With High‐Temperature Two‐Dimensional Gas Chromatography and Electron Ionization Time‐of‐Flight High‐Resolution Mass Spectrometry
Journal of Separation Science · 2025
- Integrating Uranyl-Affinity “Hooks” into Conjugated Polymers Achieving Giant Built-in Electric Field for Boosting Photocatalytic Uranium Extraction from Seawater
Macromolecules · 2024
- Investigation of Phishing Susceptibility with Explainable Artificial Intelligence
Future Internet · 2024
- A Two-Stage Attention-Based Hierarchical Transformer for Turbofan Engine Remaining Useful Life Prediction
Sensors · 2024
- Optimizing Well Placement for Sustainable Irrigation: A Two-Stage Stochastic Mixed Integer Programming Approach
Water · 2024
- The Changed Nocturnal Sleep Structure and Higher Anxiety, Depression, and Fatigue in Patients with Narcolepsy Type 1
Nature and Science of Sleep · 2024
- Comparison of Comprehensive Two-Dimensional Gas Chromatography with a Flame Ionization Detector and D2425 Methods in the Analysis of Different Hydrocarbon Types in Jet Fuel
Energy & Fuels · 2024
- A Review of Research on China's Centralized Drugs Bulk-buying Platform for Public Welfare
Frontiers in Business Economics and Management · 2024
- Optimizing Well Placement for Sustainable Irrigation: A Two-Stage Stochastic Mixed Integer Programming Approach
Preprints.org · 2024
- Preprints.org×5
- Journal of the American Society for Mass Spectrometry×4
- Analytical Chemistry×3
- Water×2
- Energy & Fuels×2
- Tuğrulcan Elmas
Computer Science · Indiana University
- Matthew DeVerna
Computer Science · Indiana University
- Filippo Menczer
Computer Science · Indiana University
- John Bryden
Computer Science · Indiana University
- Jieli Liu
Computer Science · Indiana 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