Chao Lian Editor at IgMin Research
We focus on accelerating knowledge through shared interdisciplinary collaboration.
Biography
Dr. Lian Chao is currently a research assistant at Northeastern University, and both his master's and doctoral degrees are studying at Northeastern University. His research interests include wearable devices, smart sensors, intelligent detection, human activity recognition (HAR), data mining, deep learning, etc. He has published more than 20 SCI papers in internationally renowned journals such as Advanced Intelligent Systems, IEEE Transactions on Instrumentation and Measurement, IEEE Sensors Journal, etc. He has served as a reviewer for several journals such as IEEE Sensors Journal, Sensors, International Journal of Sensors and Sensor Networks. He also has participated in the review of some important academic conferences, such as CVVR2023, MEAAC2023, etc.
Research Interest
Wearable devices, Smart sensors, Intelligent detection, Human activity recognition (HAR), Data mining, Deep learning
Editor
Work Details
Research Assistant
Northeast University
School of Information Science and Engineering
China
Contribution by Topic Area
Why publish with us?
Global Visibility – Indexed in major databases
Fast Peer Review – Decision within 14–21 days
Open Access – Maximize readership and citation
Multidisciplinary Scope – Biology, Medicine and Engineering
Editorial Board Excellence – Global experts involved
University Library Indexing – Via OCLC
Permanent Archiving – CrossRef DOI
APC – Affordable APCs with discounts
Citation – High Citation Potential
Which articles are now trending?
Research Articles
- Use of Augmented Reality as a Radiation-free Alternative in Pain Management Spinal Surgeries
- A Machine Learning-based Method for COVID-19 and Pneumonia Detection
- Wishful Thinking or Valuable Forecasts? The Value of Policy Rate Predictions in Sweden
- Examining the Causal Connection between Lipid-lowering Medications and Malignant Meningiomas through Drug-target Mendelian Randomization Analysis
- LC-MS and HPLC-UV for Detecting Uremic Toxins: Two Validated Methods with Simultaneous Sensitivity and Specificity Evaluation
- The Influence of Dynamical Downscaling and Boundary Layer Selection on Egypt’s Potential Evapotranspiration using a Calibrated Version of the Hargreaves-samani Equation: RegCM4 Approach
