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:

Characterization and Discrimination of Apples by Flash GC E-Nose: Geographical Regions and Botanical Origins Studies in China
Xinye Wu, Marie‐Laure Fauconnier, Jinfeng Bi
Foods (2022) Vol. 11, Iss. 11, pp. 1631-1631
Open Access | Times Cited: 17

Showing 17 citing articles:

Analyzing the Quality Parameters of Apples by Spectroscopy from Vis/NIR to NIR Region: A Comprehensive Review
Justyna Grabska, Krzysztof B. Beć, Nami Ueno, et al.
Foods (2023) Vol. 12, Iss. 10, pp. 1946-1946
Open Access | Times Cited: 32

Rapid analysis technologies with chemometrics for food authenticity field: A review
Zixuan Zhang, Yalan Li, Shanshan Zhao, et al.
Current Research in Food Science (2024) Vol. 8, pp. 100676-100676
Open Access | Times Cited: 7

Electronic nose and its application in the food industry: a review
Mingyang Wang, Yinsheng Chen
European Food Research and Technology (2023) Vol. 250, Iss. 1, pp. 21-67
Closed Access | Times Cited: 19

Origin identification of Angelica dahurica using a bidirectional mixing network combined with an electronic nose system
Yanwei Wang, He Wang, Xiaoming Wen, et al.
Sensors and Actuators B Chemical (2025) Vol. 429, pp. 137356-137356
Closed Access

Characterization of Gardenia tea based on aroma profiles using GC-E-Nose, GC-O-MS and GC × GC-TOFMS combined with chemometrics
Jialing Xie, Qiwei Wang, Hongchun Cui, et al.
Beverage Plant Research (2023) Vol. 4, Iss. 1
Open Access | Times Cited: 11

Correlations between flavor and fermentation days and changes in quality-related physiochemical characteristics of fermented Aurantii Fructus
Yating Xie, Tingting Bai, Tao Zhang, et al.
Food Chemistry (2023) Vol. 429, pp. 136424-136424
Closed Access | Times Cited: 9

Deep Learning in Precision Agriculture: Artificially Generated VNIR Images Segmentation for Early Postharvest Decay Prediction in Apples
Nikita Stasenko, Islomjon Shukhratov, Maxim Savinov, et al.
Entropy (2023) Vol. 25, Iss. 7, pp. 987-987
Open Access | Times Cited: 7

A study of volatiles of young citrus fruits from four areas based on GC–MS and flash GC e-nose combined with multivariate algorithms
Qian Zhang, Rong Xue, Xi Mei, et al.
Food Research International (2023) Vol. 177, pp. 113874-113874
Closed Access | Times Cited: 7

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: 1

Unmasking the ‘Asymptomatic’ COVID-19: A Nose Question
Andrea Mazzatenta, Anna Berardi, Gabriele Alessandro Novarria, et al.
Life (2022) Vol. 12, Iss. 8, pp. 1248-1248
Open Access | Times Cited: 6

Factors Affecting Purchase Intention of Hanfu: Considering Product Identification, Cultural Motivation, and Perceived Authenticity
Xianyue Li, Yongge Niu, Jiuping Xu
Behavioral Sciences (2023) Vol. 13, Iss. 8, pp. 689-689
Open Access | Times Cited: 3

Federated Learning Based Smart Horticulture and Smart Storage of Fruits Using E-Nose, and Blockchain: A Proposed Model
Shakhmaran Seilov, Bishwajeet Pandey, Akniyet Nurzhaubayev, et al.
(2024), pp. 1-5
Closed Access

First Steps in Developing a Fast, Cheap, and Reliable Method to Distinguish Wild Mushroom and Truffle Species
Inês Ferreira, Teresa Dias, Juliana Melo, et al.
Resources (2023) Vol. 12, Iss. 12, pp. 139-139
Open Access | Times Cited: 1

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