OpenAlex Citation Counts

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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:

Synergetic application of an E-tongue, E-nose and E-eye combined with CNN models and an attention mechanism to detect the origin of black pepper
Shoucheng Wang, Qing Zhang, Chuanzheng Liu, et al.
Sensors and Actuators A Physical (2023) Vol. 357, pp. 114417-114417
Closed Access | Times Cited: 24

Showing 24 citing articles:

Deep learning in food authenticity: Recent advances and future trends
Zhuowen Deng, Tao Wang, Yun Zheng, et al.
Trends in Food Science & Technology (2024) Vol. 144, pp. 104344-104344
Closed Access | Times Cited: 52

Enhancing food authentication through E-nose and E-tongue technologies: Current trends and future directions
Naveen Kumar Mahanti, Shivashankar Sanganamoni, Krishna Bahadur Chhetri, et al.
Trends in Food Science & Technology (2024) Vol. 150, pp. 104574-104574
Closed Access | Times Cited: 32

Deep leaning in food safety and authenticity detection: An integrative review and future prospects
Yan Wang, Hui‐Wen Gu, Xiaoli Yin, et al.
Trends in Food Science & Technology (2024) Vol. 146, pp. 104396-104396
Closed Access | Times Cited: 31

Electronic Sensing Technologies in Food Quality Assessment: A Comprehensive Literature Review
Marian Gil, M. Rudy, Paulina Duma‐Kocan, et al.
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1530-1530
Open Access | Times Cited: 1

Artificial Intelligence Enhances Food Testing Process: A Comprehensive Review
Haohan Ding, Ziyi Xie, Wei Yu, et al.
Food Bioscience (2025), pp. 106404-106404
Closed Access | Times Cited: 1

Electronic Noses: From Gas-Sensitive Components and Practical Applications to Data Processing
Zhenyu Zhai, Yaqian Liu, Congju Li, et al.
Sensors (2024) Vol. 24, Iss. 15, pp. 4806-4806
Open Access | Times Cited: 8

Multi-spectra combined with Bayesian optimized machine learning algorithms for rapid and non-destructive detection of adulterated functional food Panax notoginseng powder
Huanhuan Guan, Zhi‐Tong Zhang, Lei Bai, et al.
Journal of Food Composition and Analysis (2024) Vol. 133, pp. 106412-106412
Closed Access | Times Cited: 5

Machine vision combined with deep learning–based approaches for food authentication: An integrative review and new insights
Che Shen, Ran Wang, Hira Nawazish, et al.
Comprehensive Reviews in Food Science and Food Safety (2024) Vol. 23, Iss. 6
Closed Access | Times Cited: 5

TF-TCN: A time-frequency combined gas concentration prediction model for E-nose data
Xu Ma, Fan Wu, Yan Jia, et al.
Sensors and Actuators A Physical (2024) Vol. 376, pp. 115654-115654
Closed Access | Times Cited: 4

Recent advances of machine learning in the geographical origin traceability of food and agro‐products: A review
Jiali Li, Jianping Qian, Jinyong Chen, et al.
Comprehensive Reviews in Food Science and Food Safety (2024) Vol. 24, Iss. 1
Closed Access | Times Cited: 4

Exploration of Simulated Human Olfactory System and Its Integration With Machine Learning Algorithms for Food Quality Assessment: A Review
Shilpa Gite, Moumita Karmakar, S.D. Mokashi, et al.
Trends in Food Science & Technology (2025), pp. 104977-104977
Closed Access

Intelligent Grading of Green Cardamom Using Data Fusion of Electronic Nose and Computer Vision Methods
Ehsan Godini, Hemad Zareiforoush, Adel Bakhshipour, et al.
Food Science & Nutrition (2025) Vol. 13, Iss. 4
Open Access

Optimization of SnO2-based MEMS sensor array for expeditious and precise categorization of meat types and freshness status
Jingwei Zhao, Wenfeng Shen, Yang Gao, et al.
Sensors and Actuators A Physical (2025), pp. 116680-116680
Closed Access

Multi-Sensor E-Nose Based on Online Transfer Learning Trend Predictive Neural Network
Pervіn Bulucu, Mert Nakıp, Cüneyt Güzelіș
IEEE Access (2024) Vol. 12, pp. 71442-71452
Open Access | Times Cited: 2

Elektronik Burun ve Makine Öğrenmesi Yöntemleri Kullanılarak Gıda Aromalarının Sınıflandırılması
İlyas Özer, Kutlucan Görür, Onursal Çetin, et al.
Mühendislik Bilimleri ve Araştırmaları Dergisi (2024) Vol. 6, Iss. 1, pp. 35-41
Open Access

Rapid identification of oolong tea category by synergetic application of E-nose and E-tongue combined with a modified GAN - TCN composite model
Qing Zhang, Chuanzheng Liu, Zihan Wang, et al.
Journal of Food Measurement & Characterization (2024) Vol. 18, Iss. 7, pp. 5887-5903
Closed Access

Integrating Criss-Cross Attention Mechanism for Origin Traceability of Peanuts Using Electronic Nose Technology
Yang Yu, Qinghua Li, Yan Shi
2022 5th International Symposium on Autonomous Systems (ISAS) (2024) Vol. 197, pp. 1-5
Closed Access

Flavor Identification Based on Olfactory-Taste Synesthesia Model and Hybrid Convolutional Neural Network-Random Forest
Wenbo Zheng, Guangyuan Pan, Fengzeng Zhu, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 115115-115115
Closed Access

Digital Fingerprinting of Complex Liquids Using a Reconfigurable Multi‐Sensor System with Foundation Models
Gianmarco Gabrieli, Matteo Manica, Joris Cadow, et al.
Advanced Science (2024) Vol. 11, Iss. 44
Open Access

Design and implementation of an edge embedded intelligent electronic nose system based on 1D convolutional neural network and online passive-aggressive algorithms (1DCNN-OPA)
Guangfen Wei, Wei Zhang, Aixiang He, et al.
Sensors and Actuators A Physical (2024) Vol. 381, pp. 116052-116052
Closed Access

Revolutionizing Chinese medicine granule placebo with a machine learning four-color model
Tingting Teng, Jingze Zhang, Peiqi Miao, et al.
Research Square (Research Square) (2024)
Open Access

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