ReviewNano-micro letters2024
Overcoming the Limits of Cross-Sensitivity: Pattern Recognition Methods for Chemiresistive Gas Sensor Array.
Review in Nano-micro letters, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
30 citing papers in PubMed.
- Multi-Scale Temporal-Dependency Learning for Single-Sensor Gas Classification.Sensors (Basel, Switzerland) · 2026Article
- Tailoring Chemiresistive Nanomaterials Toward Integrated Circuit Compatible Fabrication of Gas Sensors.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Creating locally enriched single-atom catalysts via bio-inspired internalization process for interference-resistant NONature communications · 2026Article
- A Lightweight Multi-Scale Convolutional Network with Gramian Angular Field Encoding for VOC Classification.Sensors (Basel, Switzerland) · 2026Article
- Flexible Dual-Modal Sensing Transistor Enabled by Deep Learning Decoupling for Independent Light and Temperature Reconstruction.Nano-micro letters · 2026Article
- Drift-Robust Lightweight Deep Learning on Open Gas Sensor Benchmarks: A Reproducible Architecture Study with CBRN Applicability Mapping.Molecules (Basel, Switzerland) · 2026Article
- Scalable fabrication of gas sensors via spark-ablation printing of semiconductive metal oxide nanoparticles and heterostructures.Microsystems & nanoengineering · 2026Article
- Air Pollution Monitoring with Nanoscaled Materials in Chemoresistive Gas Sensors.ACS applied materials & interfaces · 2026Review
- Wafer-Level Self-Assembly and Interface Passivation Patterning Technology for Nanomaterial-Compatible 3D MEMS Sensing Chips.Nano-micro letters · 2026Article
- Accurate Methane Detection in Combustible Gas Mixtures by Using SnOACS sensors · 2026Article
- Functionalized Metal-Organic Frameworks Integrated with Plasmonic Nanoparticles: From Synthesis to Applications.Biosensors · 2026Review
- Enhanced Selectivity Electronic Nose Systems for Agricultural Ammonia Gas Detection via a co-designed WOScientific reports · 2025Article
- An Integrated Plasmonic Sensing Array for Chemical Fingerprinting and Flavor Profiling in Beverages and Other Liquids.ACS sensors · 2025Article
- Reconfigurable Multi-Channel Gas-Sensor Array for Complex Gas Mixture Identification and Fish Freshness Classification.Sensors (Basel, Switzerland) · 2025Article
- Microwave MIMO E-Nose for Wireless Communication and Selective Detection of VOC Mixtures with Concentration Estimation.ACS sensors · 2025Article
- Advancements and Strategies for Selectivity Enhancement in Chemiresistive Gas Sensors.Nanomaterials (Basel, Switzerland) · 2025Review
- A Few-Shot SE-Relation Net-Based Electronic Nose for Discriminating COPD.Sensors (Basel, Switzerland) · 2025Article
- Metal oxide heterostructure towards gas sensing of trimethylamine: recent progress and challenges.RSC advances · 2025Review
- Recent advances in medical gas sensing with artificial intelligence-enabled technology.Medical gas research · 2025Review
- Novel Gas Sensor Signal Acquisition Method: Amplifying Sensor Signals and Enabling Efficient Gas Identification.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As information acquisition terminals for artificial olfaction, chemiresistive gas sensors are often troubled by their cross-sensitivity, and reducing their cross-response to ambient gases has always been a difficult and important point in the gas sensing area. Pattern recognition based on sensor array is the most conspicuous way to overcome the cross-sensitivity of gas sensors. It is crucial to choose an appropriate pattern recognition method for enhancing data analysis, reducing errors and improving system reliability, obtaining better classification or gas concentration prediction results. In this review, we analyze the sensing mechanism of cross-sensitivity for chemiresistive gas sensors. We further examine the types, working principles, characteristics, and applicable gas detection range of pattern recognition algorithms utilized in gas-sensing arrays. Additionally, we report, summarize, and evaluate the outstanding and novel advancements in pattern recognition methods for gas identification. At the same time, this work showcases the recent advancements in utilizing these methods for gas identification, particularly within three crucial domains: ensuring food safety, monitoring the environment, and aiding in medical diagnosis. In conclusion, this study anticipates future research prospects by considering the existing landscape and challenges. It is hoped that this work will make a positive contribution towards mitigating cross-sensitivity in gas-sensitive devices and offer valuable insights for algorithm selection in gas recognition applications.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.