Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Odor Classification: A Review of Factors Influencing Perception-Based Odor Arrangements
Kathrin Kaeppler, Florian Mueller
Chemical Senses (2013) Vol. 38, Iss. 3, pp. 189-209
Open Access | Times Cited: 152

Showing 1-25 of 152 citing articles:

Quality-space theory in olfaction
Benjamin Young, Andreas Keller, David Rosenthal
Frontiers in Psychology (2014) Vol. 5
Open Access | Times Cited: 559
The perception of odor objects in everyday life: a review on the processing of odor mixtures
Thierry Thomas‐Danguin, Charlotte Sinding, Sébastien Romagny, et al.
Frontiers in Psychology (2014) Vol. 5
Open Access | Times Cited: 246
Revisiting the limits of language: The odor lexicon of Maniq
Ewelina Wnuk, Asifa Majid
Cognition (2014) Vol. 131, Iss. 1, pp. 125-138
Open Access | Times Cited: 188
Fundamental principles of the olfactory code
Veit Grabe, Silke Sachse
Biosystems (2017) Vol. 164, pp. 94-101
Open Access | Times Cited: 133
Smelly primes – when olfactory primes do or do not work
M. A. M. Smeets, Garmt Dijksterhuis
Frontiers in Psychology (2014) Vol. 5
Open Access | Times Cited: 127
Predicting Odor Perceptual Similarity from Odor Structure
Kobi Snitz, Adi Yablonka, Tali Weiss, et al.
PLoS Computational Biology (2013) Vol. 9, Iss. 9, pp. e1003184-e1003184
Open Access | Times Cited: 112
SMELL SPACE
Emanuela Maggioni, Robert Cobden, Dmitrijs Dmitrenko, et al.
ACM Transactions on Computer-Human Interaction (2020) Vol. 27, Iss. 5, pp. 1-26
Closed Access | Times Cited: 82
SMILES to Smell: Decoding the Structure–Odor Relationship of Chemical Compounds Using the Deep Neural Network Approach
Anju Sharma, Rajnish Kumar, Shabnam Ranjta, et al.
Journal of Chemical Information and Modeling (2021) Vol. 61, Iss. 2, pp. 676-688
Closed Access | Times Cited: 76
Lexical olfaction recruits olfactory orbitofrontal cortex in metaphorical and literal contexts
Jennifer Pomp, Anne-Kathrin Bestgen, Patrick Schulze, et al.
Brain and Language (2018) Vol. 179, pp. 11-21
Open Access | Times Cited: 60
State-of-art of the legislation on odour emissions with a focus on the Italian studies
Gaetano Settimo, Pasquale Avino
Environmental Pollution (2024) Vol. 348, pp. 123525-123525
Open Access | Times Cited: 6
Machine-Learning-Based Olfactometer: Prediction of Odor Perception from Physicochemical Features of Odorant Molecules
Liang Shang, Chuanjun Liu, Yoichi Tomiura, et al.
Analytical Chemistry (2017) Vol. 89, Iss. 22, pp. 11999-12005
Open Access | Times Cited: 60
Crossmodal effect of music and odor pleasantness on olfactory quality perception
Carlos Velasco, Diana Balboa, Fernando Marmolejo‐Ramos, et al.
Frontiers in Psychology (2014) Vol. 5
Open Access | Times Cited: 57
Bioelectronic Nose: An Emerging Tool for Odor Standardization
Manki Son, Ji Youn Lee, Hwi Jin Ko, et al.
Trends in biotechnology (2017) Vol. 35, Iss. 4, pp. 301-307
Closed Access | Times Cited: 53
Information Olfactation: Harnessing Scent to Convey Data
Biswaksen Patnaik, Andrea Batch, Niklas Elmqvist
IEEE Transactions on Visualization and Computer Graphics (2018) Vol. 25, Iss. 1, pp. 726-736
Closed Access | Times Cited: 53
Data based predictive models for odor perception
Rinu Chacko, Deepak Jain, Manasi Patwardhan, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 49
Predicting natural language descriptions of mono-molecular odorants
E. Darío Gutiérrez, Amit Dhurandhar, Andreas Keller, et al.
Nature Communications (2018) Vol. 9, Iss. 1
Open Access | Times Cited: 47
Predicting odor from molecular structure: a multi-label classification approach
Kushagra Saini, Venkatnarayan Ramanathan
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 24
Analysis of rice characteristic volatiles and their influence on rice aroma
Shuimei Li, Hongyan Li, Lin Lu, et al.
Current Research in Food Science (2024) Vol. 9, pp. 100794-100794
Open Access | Times Cited: 5
Odor impact assessment in the plume – A validation using tracer gases in two spatial farm configurations
Margret Keck, Kerstin Zeyer, Joachim Mohn, et al.
Environmental Advances (2025), pp. 100616-100616
Open Access
The poetry of senses: exploring semantic mediation in timbre-aroma correspondences
Asterios Zacharakis
Frontiers in Psychology (2025) Vol. 16
Open Access
A dataset of laymen olfactory perception for 74 mono-molecular odors
Antonie Louise Bierling, Alexander Croy, Tim Jesgarzewsky, et al.
Scientific Data (2025) Vol. 12, Iss. 1
Open Access
Synergistic approaches for odor active compounds monitoring and identification: State of the art, integration, limits and potentialities of analytical and sensorial techniques
Pasquale Giungato, Alessia Di Gilio, Jolanda Palmisani, et al.
TrAC Trends in Analytical Chemistry (2018) Vol. 107, pp. 116-129
Closed Access | Times Cited: 45
Thought for food: Cognitive influences on chemosensory perceptions and preferences
Theresa L. White, Thierry Thomas‐Danguin, Jonas Olofsson, et al.
Food Quality and Preference (2019) Vol. 79, pp. 103776-103776
Closed Access | Times Cited: 42
The language of smell: Connecting linguistic and psychophysical properties of odor descriptors
Georgios Iatropoulos, Pawel Herman, Anders Lansner, et al.
Cognition (2018) Vol. 178, pp. 37-49
Closed Access | Times Cited: 41
Off‐flavors in pond‐grown ictalurid catfish: Causes and management options
Craig S. Tucker, Kevin K. Schrader
Journal of the World Aquaculture Society (2019) Vol. 51, Iss. 1, pp. 7-92
Open Access | Times Cited: 41
Page 1 - Next Page

Scroll to top