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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:

iPromoter-FSEn: Identification of bacterial σ70 promoter sequences using feature subspace based ensemble classifier
Md Siddiqur Rahman, Usma Aktar, Rafsanjani Muhammod, et al.
Genomics (2018) Vol. 111, Iss. 5, pp. 1160-1166
Open Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

Effective DNA binding protein prediction by using key features via Chou’s general PseAAC
Sheikh Adilina, Dewan Md. Farid, Swakkhar Shatabda
Journal of Theoretical Biology (2018) Vol. 460, pp. 64-78
Closed Access | Times Cited: 54
iPromoter-BnCNN: a novel branched CNN-based predictor for identifying and classifying sigma promoters
Ruhul Amin, Chowdhury Rafeed Rahman, Sajid Ahmed, et al.
Bioinformatics (2020) Vol. 36, Iss. 19, pp. 4869-4875
Open Access | Times Cited: 49
iPro70-FMWin: identifying Sigma70 promoters using multiple windowing and minimal features
Md Siddiqur Rahman, Usma Aktar, Rafsanjani Muhammod, et al.
Molecular Genetics and Genomics (2018) Vol. 294, Iss. 1, pp. 69-84
Closed Access | Times Cited: 48
pcPromoter-CNN: A CNN-Based Prediction and Classification of Promoters
Muhammad Shujaat, Abdul Wahab, Hilal Tayara, et al.
Genes (2020) Vol. 11, Iss. 12, pp. 1529-1529
Open Access | Times Cited: 46
Comparison of machine learning and deep learning techniques in promoter prediction across diverse species
Nikita Bhandari, Satyajeet P. Khare, Rahee Walambe, et al.
PeerJ Computer Science (2021) Vol. 7, pp. e365-e365
Open Access | Times Cited: 30
Critical assessment of computational tools for prokaryotic and eukaryotic promoter prediction
Meng Zhang, Cangzhi Jia, Fuyi Li, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 2
Open Access | Times Cited: 25
Optical character recognition (OCR) using partial least square (PLS) based feature reduction: an application to artificial intelligence for biometric identification
Zainab Akhtar, Jong Weon Lee, Muhammad Attique Khan, et al.
Journal of Enterprise Information Management (2020) Vol. 36, Iss. 3, pp. 767-789
Closed Access | Times Cited: 24
Cr-Prom: A Convolutional Neural Network-Based Model for the Prediction of Rice Promoters
Muhammad Shujaat, Seung Beop Lee, Hilal Tayara, et al.
IEEE Access (2021) Vol. 9, pp. 81485-81491
Open Access | Times Cited: 22
iProm-Zea: A two-layer model to identify plant promoters and their types using convolutional neural network
Jeehong Kim, Muhammad Shujaat, Hilal Tayara
Genomics (2022) Vol. 114, Iss. 3, pp. 110384-110384
Open Access | Times Cited: 13
DeepGenGrep: a general deep learning-based predictor for multiple genomic signals and regions
Quanzhong Liu, Honglin Fang, Xiao Wang, et al.
Bioinformatics (2022) Vol. 38, Iss. 17, pp. 4053-4061
Closed Access | Times Cited: 11
TSSNote-CyaPromBERT: Development of an integrated platform for highly accurate promoter prediction and visualization of Synechococcus sp. and Synechocystis sp. through a state-of-the-art natural language processing model BERT
Dung Hoang Anh, Linh Thanh Nguyen, Eun Yeol Lee
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 11
iPromoter-CLA: Identifying promoters and their strength by deep capsule networks with bidirectional long short-term memory
Zhimin Zhang, Jianping Zhao, Pi-Jing Wei, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 226, pp. 107087-107087
Closed Access | Times Cited: 10
Promoter prediction in nannochloropsis based on densely connected convolutional neural networks
Pi-Jing Wei, Zhen-Zhen Pang, Lin-Jie Jiang, et al.
Methods (2022) Vol. 204, pp. 38-46
Closed Access | Times Cited: 9
iPro2L-PSTKNC: A Two-Layer Predictor for Discovering Various Types of Promoters by Position Specific of Nucleotide Composition
Yinuo Lyu, Wenying He, Shuhao Li, et al.
IEEE Journal of Biomedical and Health Informatics (2020) Vol. 25, Iss. 6, pp. 2329-2337
Closed Access | Times Cited: 13
Sigma70Pred: A highly accurate method for predicting sigma70 promoter in Escherichia coli K-12 strains
Sumeet Patiyal, Nitindeep Singh, Mohd. Zartab Ali, et al.
Frontiers in Microbiology (2022) Vol. 13
Open Access | Times Cited: 8
RPINBASE: An online toolbox to extract features for predicting RNA-protein interactions
Mahsa Torkamanian-Afshar, Hossein Lanjanian, Sajjad Nematzadeh, et al.
Genomics (2020) Vol. 112, Iss. 3, pp. 2623-2632
Open Access | Times Cited: 12
iPro2L-DG: Hybrid network based on improved densenet and global attention mechanism for identifying promoter sequences
Rufeng Lei, Jianhua Jia, Lulu Qin, et al.
Heliyon (2024) Vol. 10, Iss. 6, pp. e27364-e27364
Open Access | Times Cited: 1
EPAI-NC: Enhanced prediction of adenosine to inosine RNA editing sites using nucleotide compositions
Ahsan Ahmad, Swakkhar Shatabda
Analytical Biochemistry (2019) Vol. 569, pp. 16-21
Closed Access | Times Cited: 11
PredPromoter-MF(2L): A Novel Approach of Promoter Prediction Based on Multi-source Feature Fusion and Deep Forest
Miao Wang, Fuyi Li, Hao Wu, et al.
Interdisciplinary Sciences Computational Life Sciences (2022) Vol. 14, Iss. 3, pp. 697-711
Closed Access | Times Cited: 7
iProm-Sigma54: A CNN Base Prediction Tool for σ54 Promoters
Muhammad Shujaat, Hoonjoo Kim, Hilal Tayara, et al.
Cells (2023) Vol. 12, Iss. 6, pp. 829-829
Open Access | Times Cited: 3
PRESa2i: incremental decision trees for prediction of Adenosine to Inosine RNA editing sites
Alif Choyon, Md Ashiqur Rahman, M. Hasanuzzaman, et al.
F1000Research (2020) Vol. 9, pp. 262-262
Open Access | Times Cited: 8
IRC-Fuse: improved and robust prediction of redox-sensitive cysteine by fusing of multiple feature representations
Md Mehedi Hasan, Md. Ashad Alam, Watshara Shoombuatong, et al.
Journal of Computer-Aided Molecular Design (2021) Vol. 35, Iss. 3, pp. 315-323
Closed Access | Times Cited: 8
SubFeat: Feature subspacing ensemble classifier for function prediction of DNA, RNA and protein sequences
H. M. Fazlul Haque, Rafsanjani Muhammod, Fariha Arifin, et al.
Computational Biology and Chemistry (2021) Vol. 92, pp. 107489-107489
Open Access | Times Cited: 6
Classification of flower species using CNN models, Subspace Discriminant, and NCA
Muhammed Yıldırım, Ahmet Çınar, Emine Cengil
2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT) (2021)
Closed Access | Times Cited: 6
Prediction of prokaryotic and eukaryotic promoters based on information-theoretic features
Xiao Liu, Li Teng, Yachuan Luo, et al.
Biosystems (2023) Vol. 231, pp. 104979-104979
Closed Access | Times Cited: 2
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