
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:
StackPDB: predicting DNA-binding proteins based on XGB-RFE feature optimization and stacked ensemble classifier
Qingmei Zhang, Peishun Liu, Han Yu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 10
Qingmei Zhang, Peishun Liu, Han Yu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 10
Showing 10 citing articles:
StackACPred: Prediction of anticancer peptides by integrating optimized multiple feature descriptors with stacked ensemble approach
Muhammad Arif, Saeed Ahmed, Fang Ge, et al.
Chemometrics and Intelligent Laboratory Systems (2021) Vol. 220, pp. 104458-104458
Closed Access | Times Cited: 55
Muhammad Arif, Saeed Ahmed, Fang Ge, et al.
Chemometrics and Intelligent Laboratory Systems (2021) Vol. 220, pp. 104458-104458
Closed Access | Times Cited: 55
BERT-m7G: A Transformer Architecture Based on BERT and Stacking Ensemble to Identify RNA N7-Methylguanosine Sites from Sequence Information
Lu Zhang, Xinyi Qin, Min Liu, et al.
Computational and Mathematical Methods in Medicine (2021) Vol. 2021, pp. 1-10
Open Access | Times Cited: 23
Lu Zhang, Xinyi Qin, Min Liu, et al.
Computational and Mathematical Methods in Medicine (2021) Vol. 2021, pp. 1-10
Open Access | Times Cited: 23
FTWSVM-SR: DNA-Binding Proteins Identification via Fuzzy Twin Support Vector Machines on Self-Representation
Yi Zou, Yijie Ding, Peng Li, et al.
Interdisciplinary Sciences Computational Life Sciences (2021) Vol. 14, Iss. 2, pp. 372-384
Closed Access | Times Cited: 10
Yi Zou, Yijie Ding, Peng Li, et al.
Interdisciplinary Sciences Computational Life Sciences (2021) Vol. 14, Iss. 2, pp. 372-384
Closed Access | Times Cited: 10
DBP2Vec: Predicting DNA-binding proteins directly using pre-trained protein language model
Chao Wei, Zhiwei Ye, Panru Wang, et al.
Research Square (Research Square) (2023)
Open Access
Chao Wei, Zhiwei Ye, Panru Wang, et al.
Research Square (Research Square) (2023)
Open Access
Carbon Emission Price Point-Interval Forecasting Based on Multivariate Variational Mode Decomposition and Attention-Lstm Model
Liling Zeng, Huanling Hu, Huajun Tang, et al.
(2023)
Closed Access
Liling Zeng, Huanling Hu, Huajun Tang, et al.
(2023)
Closed Access
Probability-driven scoring functions in combining linear classifiers
Paweł Trajdos, Robert Burduk
JUCS - Journal of Universal Computer Science (2022) Vol. 28, Iss. 3, pp. 269-291
Open Access
Paweł Trajdos, Robert Burduk
JUCS - Journal of Universal Computer Science (2022) Vol. 28, Iss. 3, pp. 269-291
Open Access
Peer Review #2 of "Prediction of DNA binding proteins using local features and long-term dependencies with primary sequences based on deep learning (v0.1)"
Guobin Li, Xiuquan Du, Xinlu Li, et al.
(2021)
Open Access
Guobin Li, Xiuquan Du, Xinlu Li, et al.
(2021)
Open Access
Peer Review #1 of "Prediction of DNA binding proteins using local features and long-term dependencies with primary sequences based on deep learning (v0.1)"
Guobin Li, Xiuquan Du, Xinlu Li, et al.
(2021)
Open Access
Guobin Li, Xiuquan Du, Xinlu Li, et al.
(2021)
Open Access
Peer Review #2 of "Prediction of DNA binding proteins using local features and long-term dependencies with primary sequences based on deep learning (v0.2)"
Guobin Li, Xiuquan Du, Xinlu Li, et al.
(2021)
Open Access
Guobin Li, Xiuquan Du, Xinlu Li, et al.
(2021)
Open Access
Peer Review #3 of "Prediction of DNA binding proteins using local features and long-term dependencies with primary sequences based on deep learning (v0.1)"
Guobin Li, Xiuquan Du, Xinlu Li, et al.
(2021)
Open Access
Guobin Li, Xiuquan Du, Xinlu Li, et al.
(2021)
Open Access