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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Optimization of Sensor Array in Electronic Nose: A Rough Set-Based Approach
Anil Kumar Bag, Bipan Tudu, Jayashri Roy, et al.
IEEE Sensors Journal (2011) Vol. 11, Iss. 11, pp. 3001-3008
Closed Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Ensemble machine learning approach for electronic nose signal processing
Dedy Rahman Wijaya, Farah Afianti, Anditya Arifianto, et al.
Sensing and Bio-Sensing Research (2022) Vol. 36, pp. 100495-100495
Open Access | Times Cited: 43
Development of mobile electronic nose for beef quality monitoring
Dedy Rahman Wijaya, Riyanarto Sarno, Enny Zulaika, et al.
Procedia Computer Science (2017) Vol. 124, pp. 728-735
Open Access | Times Cited: 76
Flexible and stretchable metal oxide gas sensors for healthcare
XiaoQi Zheng, Huanyu Cheng
Science China Technological Sciences (2018) Vol. 62, Iss. 2, pp. 209-223
Closed Access | Times Cited: 51
Enhancing electronic nose performance: A novel feature selection approach using dynamic social impact theory and moving window time slicing for classification of Kangra orthodox black tea (Camellia sinensis (L.) O. Kuntze)
Rishemjit Kaur, Ritesh Kumar, Ashu Gulati, et al.
Sensors and Actuators B Chemical (2012) Vol. 166-167, pp. 309-319
Closed Access | Times Cited: 54
Stability Assessment of Feature Selection Algorithms on Homogeneous Datasets: A Study for Sensor Array Optimization Problem
Dedy Rahman Wijaya, Farah Afianti
IEEE Access (2020) Vol. 8, pp. 33944-33953
Open Access | Times Cited: 33
Discrimination of geographical indication of Chinese green teas using an electronic nose combined with quantum neural networks: A portable strategy
Jun Fu, Ruirui Liu, Yufei Chen, et al.
Sensors and Actuators B Chemical (2022) Vol. 375, pp. 132946-132946
Closed Access | Times Cited: 19
Hybrid feature matrix construction and feature selection optimization-based multi-objective QPSO for electronic nose in wound infection detection
Yan Jia, Shukai Duan, Tingwen Huang, et al.
Sensor Review (2016) Vol. 36, Iss. 1, pp. 23-33
Closed Access | Times Cited: 29
Information-Theoretic Ensemble Feature Selection With Multi-Stage Aggregation for Sensor Array Optimization
Dedy Rahman Wijaya, Farah Afianti
IEEE Sensors Journal (2020) Vol. 21, Iss. 1, pp. 476-489
Closed Access | Times Cited: 26
A Regularized Ensemble of Classifiers for Sensor Drift Compensation
Mridula Verma, Shruti Asmita, K.K. Shukla
IEEE Sensors Journal (2015) Vol. 16, Iss. 5, pp. 1310-1318
Closed Access | Times Cited: 27
Intelligent Sniffer: A Chip-Based Portable E-nose for Accurate and Fast Essence Evaluation
Yiwei Jiang, Ziyi Wang, Yan Hu, et al.
Sensors and Actuators B Chemical (2024), pp. 136989-136989
Closed Access | Times Cited: 2
Optimization of Sensor Array in Electronic Nose by Combinational Feature Selection Method
Pradip Saha, Santanu Ghorai, Bipan Tudu, et al.
Smart sensors, measurement and instrumentation (2013), pp. 189-205
Closed Access | Times Cited: 20
Low-Cost, High-Accuracy Method and Apparatus for Detecting Meat Spoilage
Ezzat G. Bakhoum, Marvin H. Cheng, Roger A. Kyle
IEEE Transactions on Instrumentation and Measurement (2016) Vol. 65, Iss. 7, pp. 1707-1715
Closed Access | Times Cited: 14
Incremental FCM Technique for Black Tea Quality Evaluation Using an Electronic Nose
Bipan Tudu, Saptarshi Ghosh, Anil Kumar Bag, et al.
Fuzzy Information and Engineering (2015) Vol. 7, Iss. 3, pp. 275-289
Open Access | Times Cited: 13
Dealing With Redundant Features and Inconsistent Training Data in Electronic Nose: A Rough Set Based Approach
Anil Kumar Bag, Bipan Tudu, Nabarun Bhattacharyya, et al.
IEEE Sensors Journal (2013) Vol. 14, Iss. 3, pp. 758-767
Closed Access | Times Cited: 11
Data Reconstruction Using Subspace Analysis for Gas Classification
Sang‐Il Choi, Hong-Min Jeon, Gu‐Min Jeong
IEEE Sensors Journal (2017) Vol. 17, Iss. 18, pp. 5954-5962
Closed Access | Times Cited: 11
Recognition of Oil Content for Oil Shale by Electronic Nose Based on Transient and Steady-State Fusion Feature Extraction Method
Lili Ren, Cheng Kong, Xiaohui Weng, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 4, pp. 3453-3461
Closed Access | Times Cited: 3
Optimization of sensor array in electronic nose by combinational feature selection method
Pradip Saha, Santanu Ghorai, Bipan Tudu, et al.
(2012), pp. 341-346
Closed Access | Times Cited: 9
Voltammetric Electrode Array Optimization for Black Tea Discrimination Using Computational Intelligence Approach
Srikanta Acharya, Debangana Das, Trisita Nandy Chatterjee, et al.
IEEE Sensors Journal (2021) Vol. 21, Iss. 18, pp. 20589-20595
Closed Access | Times Cited: 8
Sensor Evaluation in a Breath Analysis System
Ke Yan, David Zhang
International Conference on Medical Biometrics (2014), pp. 35-40
Closed Access | Times Cited: 7
Design and Optimization of Electronic Nose Sensor Array for Real-Time and Rapid Detection of Vehicle Exhaust Pollutants
Jin Tong, Chengxin Song, Tianjian Tong, et al.
Chemosensors (2022) Vol. 10, Iss. 12, pp. 496-496
Open Access | Times Cited: 5
A rough set-based method for aiming angle tuning of luminaires for outdoor sports lighting
Dipayan Nath, Saswati Mazumdar, JK Chandra, et al.
Lighting Research & Technology (2015) Vol. 48, Iss. 2, pp. 126-154
Closed Access | Times Cited: 5
Tea and the Use of the Electronic Nose
Runu Banerjee Roy, Rajib Bandyopadhyay, Bipan Tudu, et al.
Elsevier eBooks (2016), pp. 125-135
Closed Access | Times Cited: 3
Designing optimal sensor arrays: leveraging hard modeling for improved performance
Somaiyeh Khodadadi Karimvand, Hamid Abdollahi
Microchimica Acta (2024) Vol. 191, Iss. 7
Closed Access
Time Horizon Selection Using Feature Feedback for the Implementation of an E-Nose System
Gu‐Min Jeong, Yoonseok Yang, Sang‐Il Choi
IEEE Sensors Journal (2013) Vol. 13, Iss. 5, pp. 1575-1581
Closed Access | Times Cited: 3
Pseudo Optimization of E-Nose Data Using Region Selection with Feature Feedback Based on Regularized Linear Discriminant Analysis
Gu‐Min Jeong, Nguyễn Trọng Nghĩa, Sang‐Il Choi
Sensors (2014) Vol. 15, Iss. 1, pp. 656-671
Open Access | Times Cited: 2
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