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:

Exploiting Quality-Guided Adaptive Optimization for Fusing Multimodal Medical Images
Lu Tang, Chuangeng Tian, Kai Xu
IEEE Access (2019) Vol. 7, pp. 96048-96059
Open Access | Times Cited: 8

Showing 8 citing articles:

UAV Swarm Search Path Planning Method Based on Probability of Containment
Xiangyu Fan, Hao Li, You Chen, et al.
Drones (2024) Vol. 8, Iss. 4, pp. 132-132
Open Access | Times Cited: 7

Medical image fusion quality assessment based on conditional generative adversarial network
Lu Tang, Yu Hui, Hang Yang, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 3

Pragmatic Analysis of Fruit Processing Models for Quality Evaluation from a Statistical Perspective
Archana G. Said, Bharti Joshi
2022 2nd Asian Conference on Innovation in Technology (ASIANCON) (2022), pp. 1-7
Closed Access | Times Cited: 2

Hybrid Pixel-Based Method for Multimodal Medical Image Fusion Based on Integration of Pulse-Coupled Neural Network (PCNN) and Genetic Algorithm (GA)
R. Indhumathi, S Nagarajan, K Indira
Algorithms for intelligent systems (2020), pp. 853-867
Closed Access | Times Cited: 2

A Comprehensive Study of Image Fusion Techniques and Their Applications
R. Indhumathi, Sai Ganesh Nagarajan, T. Abimala
Springer eBooks (2020), pp. 129-160
Closed Access | Times Cited: 2

Multi-Source Image Fusion Using Parameter Optimized PCNN in LNSST Domain
Haohan Liu, Zeyu Jiang, Huaiqing He, et al.
Journal of Computer-Aided Design & Computer Graphics (2022) Vol. 34, Iss. 08, pp. 1193-1204
Closed Access | Times Cited: 1

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