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:

An explainable deep learning framework for characterizing and interpreting human brain states
Shu Zhang, Junxin Wang, Sigang Yu, et al.
Medical Image Analysis (2022) Vol. 83, pp. 102665-102665
Closed Access | Times Cited: 14

Showing 14 citing articles:

Recent Advances in Explainable Artificial Intelligence for Magnetic Resonance Imaging
Jinzhao Qian, Hailong Li, Junqi Wang, et al.
Diagnostics (2023) Vol. 13, Iss. 9, pp. 1571-1571
Open Access | Times Cited: 25

Unlocking the black box: an in-depth review on interpretability, explainability, and reliability in deep learning
Emrullah Şahin, Naciye Nur Arslan, Durmuş Özdemir
Neural Computing and Applications (2024)
Closed Access | Times Cited: 10

Predicting Human Brain States with Transformer
Yifei Sun, Mariano Cabezas, Jiah Lee, et al.
Lecture notes in computer science (2025), pp. 136-146
Closed Access

A comprehensive survey of complex brain network representation
Haoteng Tang, Guixiang Ma, Yanfu Zhang, et al.
Meta-Radiology (2023) Vol. 1, Iss. 3, pp. 100046-100046
Open Access | Times Cited: 10

The role of explainability and transparency in fostering trust in AI healthcare systems: a systematic literature review, open issues and potential solutions
Christopher Ifeanyi Eke, Liyana Shuib
Neural Computing and Applications (2024)
Closed Access | Times Cited: 2

LSTM-SAGDTA: Predicting Drug-target Binding Affinity with an Attention Graph Neural Network and LSTM Approach
Wenjing Qiu, Qianle Liang, Liyi Yu, et al.
Current Pharmaceutical Design (2024) Vol. 30, Iss. 6, pp. 468-476
Open Access | Times Cited: 1

Graph pooling in graph neural networks: methods and their applications in omics studies
Yan Wang, Wenju Hou, Nan Sheng, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 11
Open Access | Times Cited: 1

Editorial for special issue on explainable and generalizable deep learning methods for medical image computing
Guotai Wang, Shaoting Zhang, Xiaolei Huang, et al.
Medical Image Analysis (2022) Vol. 84, pp. 102727-102727
Closed Access | Times Cited: 3

Physics-Informed Explainable Continual Learning on Graphs
Ciyuan Peng, Tao Tang, Qiuyang Yin, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 35, Iss. 9, pp. 11761-11772
Closed Access

Multi-graph Networks with Graph Pooling for COVID-19 Diagnosis
Chaosheng Tang, Wenle Xu, Junding Sun, et al.
Journal of Bionic Engineering (2024)
Closed Access

Exploratory Data Analysis Methods for Functional Magnetic Resonance Imaging (fMRI): A Comprehensive Review of Software Programs Used in Research
Hussain A. Jaber, Basma A. Al-Ghali, Muna M. Kareem, et al.
Al-Nahrain Journal for Engineering Sciences (2024) Vol. 27, Iss. 4, pp. 491-500
Open Access

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