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:

Multi-attention deep neural network fusing character and word embedding for clinical and biomedical concept extraction
Shengyu Fan, Hui Yu, Xiaoya Cai, et al.
Information Sciences (2022) Vol. 608, pp. 778-793
Closed Access | Times Cited: 24

Showing 24 citing articles:

Adaptive self-attention LSTM for RUL prediction of lithium-ion batteries
Zhuqing Wang, Ning Liu, Chilian Chen, et al.
Information Sciences (2023) Vol. 635, pp. 398-413
Closed Access | Times Cited: 76

A survey on Named Entity Recognition — datasets, tools, and methodologies
Basra Jehangir, Saravanan Radhakrishnan, Rahul Agarwal
Natural Language Processing Journal (2023) Vol. 3, pp. 100017-100017
Open Access | Times Cited: 56

A time series attention mechanism based model for tourism demand forecasting
Yunxuan Dong, Ling Xiao, Jiasheng Wang, et al.
Information Sciences (2023) Vol. 628, pp. 269-290
Closed Access | Times Cited: 26

A clinical named entity recognition model using pretrained word embedding and deep neural networks
Adyasha Dash, Subhashree Darshana, Devendra Kumar Yadav, et al.
Decision Analytics Journal (2024) Vol. 10, pp. 100426-100426
Open Access | Times Cited: 15

Sentic Parser: A Graph-Based Approach to Concept Extraction for Sentiment Analysis
Erik Cambria, Rui Mao, Sooji Han, et al.
2022 IEEE International Conference on Data Mining Workshops (ICDMW) (2022)
Closed Access | Times Cited: 23

The Multivariate Fusion Distribution Characteristics in Physician Demand Prediction
Jiazhen Zhang, Wei Chen, Xiulai Wang
Mathematics (2025) Vol. 13, Iss. 2, pp. 233-233
Open Access

Survey on terminology extraction from texts
Kang Xu, Yifan Feng, Qixiu Li, et al.
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access

A Chinese medical named entity recognition method considering length diversity of entities
Hongyu Zhang, Long Lyu, W. L. Chang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 150, pp. 110649-110649
Closed Access

An effective undersampling method for biomedical named entity recognition using machine learning
S. M. Archana, Jay Prakash
Evolving Systems (2024) Vol. 15, Iss. 4, pp. 1541-1549
Closed Access | Times Cited: 3

GWBNER: A named entity recognition method based on character glyph and word boundary features for Chinese EHRs
Jinsong Zhang, Xiaomei Yu, Zhichao Wang, et al.
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 8, pp. 101654-101654
Open Access | Times Cited: 5

A unifying view for the mixture model of sparse Gaussian processes
Yurong Xie, Di Wu, Zhe Qiang
Information Sciences (2024) Vol. 660, pp. 120124-120124
Closed Access | Times Cited: 1

Cyber threat indicators extraction based on contextual knowledge prompt
Hailiang Tang, Dawei Lin, Wanyu Li, et al.
Computer Networks (2024), pp. 110839-110839
Closed Access | Times Cited: 1

Tell me your position: Distantly supervised biomedical entity relation extraction using entity position marker
Jiran Zhu, Jikun Dong, Hongyun Du, et al.
Neural Networks (2023) Vol. 168, pp. 531-538
Closed Access | Times Cited: 3

An Automatic Privacy-Aware Framework for Text Data in Online Social Network Based on a Multi-Deep Learning Model
Gan Liu, Xiongtao Sun, Y. Li, et al.
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-23
Open Access | Times Cited: 3

Biomedical named entity recognition based on multi-cross attention feature fusion
Dequan Zheng, Rong Han, Feng Yu, et al.
PLoS ONE (2024) Vol. 19, Iss. 5, pp. e0304329-e0304329
Open Access

Fe-Cfner: Feature Enhancement-Based Approach for Chinese Few-Shot Named Entity Recognition
Sanhe Yang, Peichao Lai, Ruixiong Fang, et al.
(2024)
Closed Access

FE-CFNER: Feature Enhancement-based approach for Chinese Few-shot Named Entity Recognition
Sanhe Yang, Peichao Lai, Ruixiong Fang, et al.
Computer Speech & Language (2024) Vol. 90, pp. 101730-101730
Closed Access

A lightweight biomedical named entity recognition with pre-trained model
Yunhe Gou, Jie Cao
(2023), pp. 117-121
Closed Access | Times Cited: 1

CoSiNES: Contrastive Siamese Network for Entity Standardization
Jiaqing Yuan, Michele Merler, Mihir Choudhury, et al.
(2023), pp. 109-119
Open Access

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