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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:

SRMCS: A semantic-aware recommendation framework for mobile crowd sensing
Feng Wang, Liang Hu, Rui Sun, et al.
Information Sciences (2017) Vol. 433-434, pp. 333-345
Closed Access | Times Cited: 17

Showing 17 citing articles:

An incentive mechanism design for mobile crowdsensing with demand uncertainties
Yufeng Zhan, Yuanqing Xia, Jiang Zhang, et al.
Information Sciences (2020) Vol. 528, pp. 1-16
Open Access | Times Cited: 37
Recommendation System for a Delivery Food Application Based on Number of Orders
Claudia N. Sánchez, J. Domı́nguez, Alejandra Arreola, et al.
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2299-2299
Open Access | Times Cited: 9
Nonnegative matrix tri-factorization with user similarity for clustering in point-of-interest
Liang Hu, Yongheng Xing, Yanlei Gong, et al.
Neurocomputing (2019) Vol. 363, pp. 58-65
Closed Access | Times Cited: 25
Things2Vec: Semantic Modeling in the Internet of Things With Graph Representation Learning
Liang Hu, Gang Wu, Yongheng Xing, et al.
IEEE Internet of Things Journal (2019) Vol. 7, Iss. 3, pp. 1939-1948
Closed Access | Times Cited: 24
MBPI: Mixed behaviors and preference interaction for session-based recommendation
Jinjin Zhang, Chenhui Ma, Chengliang Zhong, et al.
Applied Intelligence (2021) Vol. 51, Iss. 10, pp. 7440-7452
Closed Access | Times Cited: 17
A Session-Based Song Recommendation Approach Involving User Characterization along the Play Power-Law Distribution
Diego Sánchez-Moreno, Vivian F. López, María Dolores Muñoz Vicente, et al.
Complexity (2020) Vol. 2020, pp. 1-13
Open Access | Times Cited: 16
Fractional cross entropy-based loss function for classification of IoT services with semantic graph based on IFTTT recipes
Nikita Malik, Sanjay Kumar Malik
Signal Image and Video Processing (2024) Vol. 18, Iss. S1, pp. 71-86
Closed Access | Times Cited: 1
CONAN: A framework for detecting and handling collusion in crowdsourcing
Pengpeng Chen, Hailong Sun, Yili Fang, et al.
Information Sciences (2019) Vol. 515, pp. 44-63
Closed Access | Times Cited: 14
A data fusion framework based on heterogeneous information network embedding for trigger-action programming in IoT
Gang Wu, Liang Hu, Xuelin Mao, et al.
Expert Systems with Applications (2023) Vol. 235, pp. 121065-121065
Closed Access | Times Cited: 4
Social Network Community Detection to Deal with Gray-Sheep and Cold-Start Problems in Music Recommender Systems
Diego Sánchez-Moreno, Vivian F. López, María Dolores Muñoz Vicente, et al.
Information (2024) Vol. 15, Iss. 3, pp. 138-138
Open Access | Times Cited: 1
Using Social Tag Embedding in a Collaborative Filtering Approach for Recommender Systems
Diego Sánchez-Moreno, Marı́a N. Moreno Garcı́a, Nasim Sonboli, et al.
(2020), pp. 502-507
Closed Access | Times Cited: 10
Efficient Algorithms for Flexible Sweep Coverage in Crowdsensing
Peihuang Huang, Wenxing Zhu, Kewen Liao, et al.
IEEE Access (2018) Vol. 6, pp. 50055-50065
Open Access | Times Cited: 7
Simulation of Trust-Based Mechanism for Enhancing User Confidence in Mobile Crowdsensing Systems
Dorothy Kalui, Dezheng Zhang, Geoffrey Muchiri Muketha, et al.
IEEE Access (2020) Vol. 8, pp. 20870-20883
Open Access | Times Cited: 3
COUSTIC: Combinatorial Double Auction for Crowd Sensing Task Assignment in Device-to-Device Clouds
Yutong Zhai, Liusheng Huang, Long Chen, et al.
Lecture notes in computer science (2018), pp. 636-651
Closed Access | Times Cited: 2
A spatial text query scheme based on semantic-aware
Hongbo Li, Hong Zhu, Zongmin Cui
(2019), pp. 55-58
Closed Access | Times Cited: 2
Resumen de tesis. Improving collaborative filtering music recommender systems: A focus on user characterization from behavioral and contextual factors
Diego Moreno
(2020)
Open Access
Dynamic inference of user context through social tag embedding for music recommendation.
Diego Sánchez-Moreno, Álvaro Lozano Murciego, Vivian F. López, et al.
arXiv (Cornell University) (2021)
Closed Access
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