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:

RNAincoder: a deep learning-based encoder for RNA and RNA-associated interaction
Yunxia Wang, Zhen Chen, Ziqi Pan, et al.
Nucleic Acids Research (2023) Vol. 51, Iss. W1, pp. W509-W519
Open Access | Times Cited: 25

Showing 25 citing articles:

Real-World Molecular Out-Of-Distribution: Specification and Investigation
Prudencio Tossou, Cas Wognum, Michael Craig, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 3, pp. 697-711
Open Access | Times Cited: 12

RNA structure prediction using deep learning — A comprehensive review
Mayank Chaturvedi, Mahmood A. Rashid, Kuldip K. Paliwal
Computers in Biology and Medicine (2025) Vol. 188, pp. 109845-109845
Open Access | Times Cited: 1

Rm-LR: A long-range-based deep learning model for predicting multiple types of RNA modifications
Sirui Liang, Yanxi Zhao, Junru Jin, et al.
Computers in Biology and Medicine (2023) Vol. 164, pp. 107238-107238
Closed Access | Times Cited: 14

An efficient circRNA-miRNA interaction prediction model by combining biological text mining and wavelet diffusion-based sparse network structure embedding
Xinfei Wang, Chang-Qing Yu, Zhu‐Hong You, et al.
Computers in Biology and Medicine (2023) Vol. 165, pp. 107421-107421
Closed Access | Times Cited: 11

Evaluating Machine Learning Methods of Analyzing Multiclass Metabolomics
Yaguo Gong, Wei Ding, Panpan Wang, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 24, pp. 7628-7641
Closed Access | Times Cited: 11

SYNBIP 2.0: epitopes mapping, sequence expansion and scaffolds discovery for synthetic binding protein innovation
Yanlin Li, Fengcheng Li, Zixin Duan, et al.
Nucleic Acids Research (2024) Vol. 53, Iss. D1, pp. D595-D603
Open Access | Times Cited: 4

Advances in artificial intelligence-envisioned technologies for protein and nucleic acid research
Amol D. Gholap, Abdelwahab Omri
Drug Discovery Today (2025), pp. 104362-104362
Open Access

An ensemble of stacking classifiers for improved prediction of miRNA–mRNA interactions
Priyash Dhakal, Hilal Tayara, Kil To Chong
Computers in Biology and Medicine (2023) Vol. 164, pp. 107242-107242
Closed Access | Times Cited: 10

The path from task-specific to general purpose artificial intelligence for medical diagnostics: A bibliometric analysis
Chuheng Chang, Wen Shi, Youyang Wang, et al.
Computers in Biology and Medicine (2024) Vol. 172, pp. 108258-108258
Open Access | Times Cited: 3

FERREG: ferroptosis-based regulation of disease occurrence, progression and therapeutic response
Yuan Zhou, Zhen Chen, Mengjie Yang, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 3

EasyCircR: Detection and reconstruction of circular RNAs post-transcriptional regulatory interaction networks
Antonino Aparo, Simone Avesani, Luca Parmigiani, et al.
Computers in Biology and Medicine (2025) Vol. 188, pp. 109846-109846
Open Access

A fast approach for structural and evolutionary analysis based on energetic profile protein comparison
Peyman Choopanian, Jaan‐Olle Andressoo, Mehdi Mirzaie
Nature Communications (2025) Vol. 16, Iss. 1
Open Access

The Important Role of Transporter Structures in Drug Disposition, Efficacy, and Toxicity
Tingting Fu, Su Zeng, Qing‐Chuan Zheng, et al.
Drug Metabolism and Disposition (2023) Vol. 51, Iss. 10, pp. 1316-1323
Open Access | Times Cited: 9

Decoding protein binding landscape on circular RNAs with base-resolution transformer models
Hehe Wu, Xiaojian Liu, Yi Fang, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108175-108175
Open Access | Times Cited: 2

In-depth characterization and identification of translatable lncRNAs
Meng Zhang, Jian Zhao, Jing Wu, et al.
Computers in Biology and Medicine (2023) Vol. 164, pp. 107243-107243
Closed Access | Times Cited: 6

Non-coding RNAs in hepatocellular carcinoma metastasis: Remarkable indicators and potential oncogenic mechanism
Wenqi Qiu, Song Zhang, Wei Yu, et al.
Computers in Biology and Medicine (2024) Vol. 180, pp. 108867-108867
Closed Access | Times Cited: 1

BioLLMNet: Enhancing RNA-Interaction Prediction with a Specialized Cross-LLM Transformation Network
Md Toki Tahmid, Abrar Rahman Abir, Md. Shamsuzzoha Bayzid
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access | Times Cited: 1

GANSamples-ac4C: Enhancing ac4C site prediction via generative adversarial networks and transfer learning
Fei Li, Jiale Zhang, Kewei Li, et al.
Analytical Biochemistry (2024) Vol. 689, pp. 115495-115495
Closed Access | Times Cited: 1

SubCELL: the landscape of subcellular compartment-specific molecular interactions
Yintao Zhang, Wanghao Jiang, Li Teng, et al.
Nucleic Acids Research (2024) Vol. 53, Iss. D1, pp. D738-D747
Open Access | Times Cited: 1

A robust deep learning approach for identification of RNA 5-methyluridine sites
Md. Shazzad Hossain Shaon, Tasmin Karim, Md. Mamun Ali, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1

Modeling ncRNA Synergistic Regulation in Cancer
Junpeng Zhang, Chenchen Xiong, Xuemei Wei, et al.
Methods in molecular biology (2024), pp. 377-402
Closed Access

RNA-ligand interaction scoring via data perturbation and augmentation modeling
Hongli Ma, Letian Gao, Yunfan Jin, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access

OrgXenomics: an integrated proteomic knowledge base for patient-derived organoid and xenograft
Yintao Zhang, Xichen Lian, Hangwei Xu, et al.
Nucleic Acids Research (2024) Vol. 53, Iss. D1, pp. D504-D515
Open Access

RPIPCM: A deep network model for predicting lncRNA-protein interaction based on sequence feature encoding
Lejun Gong, Chen Jing-mei, Cui Xiong, et al.
Computers in Biology and Medicine (2023) Vol. 165, pp. 107366-107366
Closed Access

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