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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:

Detecting Pork Adulteration in Beef for Halal Authentication Using an Optimized Electronic Nose System
Riyanarto Sarno, Kuwat Triyana, Shoffi Izza Sabilla, et al.
IEEE Access (2020) Vol. 8, pp. 221700-221711
Open Access | Times Cited: 66

Showing 1-25 of 66 citing articles:

Applications of machine learning techniques for enhancing nondestructive food quality and safety detection
Yuandong Lin, Ji Ma, Qijun Wang, et al.
Critical Reviews in Food Science and Nutrition (2022) Vol. 63, Iss. 12, pp. 1649-1669
Closed Access | Times Cited: 95
A Machine Learning Method for the Quantitative Detection of Adulterated Meat Using a MOS-Based E-Nose
Changquan Huang, Yu Gu
Foods (2022) Vol. 11, Iss. 4, pp. 602-602
Open Access | Times Cited: 49
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
Review on food quality assessment using machine learning and electronic nose system
Hassan Anwar, Talha Anwar, Shamas Murtaza
Biosensors and Bioelectronics X (2023) Vol. 14, pp. 100365-100365
Open Access | Times Cited: 39
Current progress on meat food authenticity detection methods
Junhua Du, Mailin Gan, Zhongwei Xie, et al.
Food Control (2023) Vol. 152, pp. 109842-109842
Closed Access | Times Cited: 26
Rapid analysis of meat floss origin using a supervised machine learning-based electronic nose towards food authentication
Linda Ardita Putri, Iman Rahman, Mayumi Puspita, et al.
npj Science of Food (2023) Vol. 7, Iss. 1
Open Access | Times Cited: 24
Emerging Methods for the Evaluation of Sensory Quality of Food: Technology at Service
Sandra Rodrigues, Luís G. Dias, A. Teixeira
Current Food Science and Technology Reports (2024) Vol. 2, Iss. 1, pp. 77-90
Open Access | Times Cited: 14
Advanced evaluation techniques: Gas sensor networks, machine learning, and chemometrics for fraud detection in plant and animal products
Hamed Karami, Mohammed Kamruzzaman, James A. Covington, et al.
Sensors and Actuators A Physical (2024) Vol. 370, pp. 115192-115192
Closed Access | Times Cited: 14
Recent advances in halal food authentication: Challenges and strategies
Pei Chi Ng, Nur Amy Syahira Ahmad Ruslan, Ling Xuan Chin, et al.
Journal of Food Science (2021) Vol. 87, Iss. 1, pp. 8-35
Closed Access | Times Cited: 47
The effect of gas concentration on detection and classification of beef and pork mixtures using E-nose
Sulaiman Wakhid, Riyanarto Sarno, Shoffi Izza Sabilla
Computers and Electronics in Agriculture (2022) Vol. 195, pp. 106838-106838
Closed Access | Times Cited: 33
Beef Quality Classification with Reduced E-Nose Data Features According to Beef Cut Types
Ahmet Feyzioğlu, Yavuz Selim Taşpınar
Sensors (2023) Vol. 23, Iss. 4, pp. 2222-2222
Open Access | Times Cited: 21
Volatilomics as a tool to ascertain food adulteration, authenticity, and origin
Aikaterini Kaldeli, Panagiota Zakidou, Adamantini Paraskevopoulou
Comprehensive Reviews in Food Science and Food Safety (2024) Vol. 23, Iss. 4
Open Access | Times Cited: 6
Ensuring halal food integrity: An overview of modern molecular and technological solutions
Abdul Mueez Ahmad, Hassan Mehmood Sipra, Nimra Tanveer, et al.
Food biomacromolecules. (2025)
Open Access
An Improved Classification of Pork Adulteration in Beef Based on Electronic Nose Using Modified Deep Extreme Learning with Principal Component Analysis as Feature Learning
Cries Avian, Jenq‐Shiou Leu, Setya Widyawan Prakosa, et al.
Food Analytical Methods (2022) Vol. 15, Iss. 11, pp. 3020-3031
Closed Access | Times Cited: 24
Future Potential of E-Nose Technology: A Review
Furizal Furizal, Alfian Ma’arif, Asno Azzawagama Firdaus, et al.
International Journal of Robotics and Control Systems (2023) Vol. 3, Iss. 3, pp. 449-469
Open Access | Times Cited: 14
Rapid detection of adulterated lamb meat using near infrared and electronic nose: A F1-score-MRE data fusion approach
Wenshen Jia, Yingdong Qin, Changtong Zhao
Food Chemistry (2023) Vol. 439, pp. 138123-138123
Closed Access | Times Cited: 14
Optimization of the Electronic Nose Sensor Array for Asthma Detection Based on Genetic Algorithm
Dava Aulia, Riyanarto Sarno, Shintami Chusnul Hidayati, et al.
IEEE Access (2023) Vol. 11, pp. 74924-74935
Open Access | Times Cited: 13
Application of machine learning approach on halal meat authentication principle, challenges, and prospects: A review
Abdul Raufu Mustapha, Iskandar Ishak, Nor Nadiha Mohd Zaki, et al.
Heliyon (2024) Vol. 10, Iss. 12, pp. e32189-e32189
Open Access | Times Cited: 4
Portable and miniature sensors in supply chain for food authentication: a review
Hong-Ju He, Marcus Vinicius da Silva Ferreira, Qianyi Wu, et al.
Critical Reviews in Food Science and Nutrition (2024), pp. 1-21
Closed Access | Times Cited: 4
Halal Authentication of Meat Products Via UHPLC-HRMS Lipidomics and Chemoinformatics
Vevi Maritha, Nur Ihda Farikhatin Nisa, Mohammad Arfi Setiawan, et al.
Food Analytical Methods (2025)
Closed Access
Development of an Integrated Soft E-Nose for Food Quality Assessment
Kranthi Kumar Pulluri, Vaegae Naveen Kumar
IEEE Sensors Journal (2022) Vol. 22, Iss. 15, pp. 15111-15122
Closed Access | Times Cited: 20
Qualitative and Quantitative Detection of Food Adulteration Using a Smart E-Nose
Kranthi Kumar Pulluri, Vaegae Naveen Kumar
Sensors (2022) Vol. 22, Iss. 20, pp. 7789-7789
Open Access | Times Cited: 20
Advances and challenges in conventional and modern techniques for halal food authentication: A review
Ifrah Usman, Saima Sana, Muhammad Afzaal, et al.
Food Science & Nutrition (2023) Vol. 12, Iss. 3, pp. 1430-1443
Open Access | Times Cited: 12
HALALCheck: A Multi-Faceted Approach for Intelligent Halal Packaged Food Recognition and Analysis
Sabrina Tarannum, Md. Shah Jalal, Mohammad Nurul Huda
IEEE Access (2024) Vol. 12, pp. 28462-28474
Open Access | Times Cited: 3
Lightweight Interleaved Residual Dense Network for Gas Identification of Industrial Polypropylene Coupled With an Electronic Nose
Yan Shi, Hangcheng Yuan, Qinglun Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-10
Closed Access | Times Cited: 26
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