# IEEE Transactions on Instrumentation and Measurement

**Type:** Journals  
**Canonical URL:** https://scholariq.org/journals/ieee-transactions-on-instrumentation-and-measurement/

## Facts

| Field | Value |
| --- | --- |
| Citations | 560,571 |
| h-index | 198 |
| Homepage | http://ieeexplore.ieee.org/servlet/opac?punumber=19 |
| Open Access | false |
| ISSN-L | 0018-9456 |
| ISSNs | 0018-9456,1557-9662 |
| OpenAlex ID | https://openalex.org/S10892749 |
| Publisher | Institute of Electrical and Electronics Engineers |
| Works | 29,165 |

## Journal papers

Showing 12 of 44.

- [A Novel Ultrasound Robot With Force/Torque Measurement and Control for Safe and Efficient Scanning](https://scholariq.org/papers/a-novel-ultrasound-robot-with-force-torque-measurement-and-control-for-safe-and/)
- [DeprNet: A Deep Convolution Neural Network Framework for Detecting Depression Using EEG](https://scholariq.org/papers/deprnet-a-deep-convolution-neural-network-framework-for-detecting-depression/)
- [Facial Expression Recognition Using Local Gravitational Force Descriptor-Based Deep Convolution Neural Networks](https://scholariq.org/papers/facial-expression-recognition-using-local-gravitational-force-descriptor-based/)
- [Understanding Deep Learning Techniques for Recognition of Human Emotions Using Facial Expressions: A Comprehensive Survey](https://scholariq.org/papers/understanding-deep-learning-techniques-for-recognition-of-human-emotions-using/)
- [Crack Shape Reconstruction in Eddy Current Testing Using Machine Learning Systems for Regression](https://scholariq.org/papers/crack-shape-reconstruction-in-eddy-current-testing-using-machine-learning/)
- [Low Cost Sensor With IoT LoRaWAN Connectivity and Machine Learning-Based Calibration for Air Pollution Monitoring](https://scholariq.org/papers/low-cost-sensor-with-iot-lorawan-connectivity-and-machine-learning-based/)
- [Robust Attitude Estimation from Uncertain Observations of Inertial Sensors Using Covariance Inflated Multiplicative Extended Kalman Filter](https://scholariq.org/papers/robust-attitude-estimation-from-uncertain-observations-of-inertial-sensors-using/)
- [Crack Depth Estimation by Using a Multi-Frequency ECT Method](https://scholariq.org/papers/crack-depth-estimation-by-using-a-multi-frequency-ect-method/)
- [A Novel Method of Using Bifilar Spiral Resonator for Designing Thin Robust Flexible Glucose Sensors](https://scholariq.org/papers/a-novel-method-of-using-bifilar-spiral-resonator-for-designing-thin-robust/)
- [Virtual Instruments Based on Stacked Neural Networks to Improve Product Quality Monitoring in a Refinery](https://scholariq.org/papers/virtual-instruments-based-on-stacked-neural-networks-to-improve-product-quality/)
- [Surface Plasmonic Feature Microwave Sensor With Highly Confined Fields for Aqueous-Glucose and Blood-Glucose Measurements](https://scholariq.org/papers/surface-plasmonic-feature-microwave-sensor-with-highly-confined-fields-for/)
- [Static and Dynamic Characterization of the Temperature and Humidity Influence on IPMC Actuators](https://scholariq.org/papers/static-and-dynamic-characterization-of-the-temperature-and-humidity-influence-on/)

## Journal top topics

Showing 8 of 21.

- [Sensor Technology and Measurement Systems](https://scholariq.org/topics/sensor-technology-and-measurement-systems/)
- [Machine Fault Diagnosis Techniques](https://scholariq.org/topics/machine-fault-diagnosis-techniques/)
- [Fault Detection and Control Systems](https://scholariq.org/topics/fault-detection-and-control-systems/)
- [Non-Destructive Testing Techniques](https://scholariq.org/topics/non-destructive-testing-techniques/)
- [Analog and Mixed-Signal Circuit Design](https://scholariq.org/topics/analog-and-mixed-signal-circuit-design/)
- [Advanced Fiber Optic Sensors](https://scholariq.org/topics/advanced-fiber-optic-sensors/)
- [Indoor and Outdoor Localization Technologies](https://scholariq.org/topics/indoor-and-outdoor-localization-technologies/)
- [Structural Health Monitoring Techniques](https://scholariq.org/topics/structural-health-monitoring-techniques/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.