Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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, Xue Wang, et al.
Applied Soft Computing (2020) Vol. 99, pp. 106921-106921
Open Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

Predicting existing tunnel deformation from adjacent foundation pit construction using hybrid machine learning
Xianguo Wu, Zongbao Feng, Jun Liu, et al.
Automation in Construction (2024) Vol. 165, pp. 105516-105516
Closed Access | Times Cited: 30
StackedEnC-AOP: prediction of antioxidant proteins using transform evolutionary and sequential features based multi-scale vector with stacked ensemble learning
Gul Rukh, Shahid Akbar, Gauhar Rehman, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 26
XGB-DrugPred: computational prediction of druggable proteins using eXtreme gradient boosting and optimized features set
Rahu Sikander, Ali Ghulam, Farman Ali
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 63
A SYSTEMATIC LITERATURE REVIEW: RECURSIVE FEATURE ELIMINATION ALGORITHMS
Arif Mudi Priyatno, Triyanna Widiyaningtyas
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) (2024) Vol. 9, Iss. 2, pp. 196-207
Open Access | Times Cited: 16
Carbon emission price point-interval forecasting based on multivariate variational mode decomposition and attention-LSTM model
Liling Zeng, Huanling Hu, Huajun Tang, et al.
Applied Soft Computing (2024) Vol. 157, pp. 111543-111543
Closed Access | Times Cited: 14
Improving soybean yield prediction by integrating UAV nadir and cross-circling oblique imaging
Guangyao Sun, Yong Zhang, Haochong Chen, et al.
European Journal of Agronomy (2024) Vol. 155, pp. 127134-127134
Closed Access | Times Cited: 12
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
Prediction of protein-protein interaction sites through eXtreme gradient boosting with kernel principal component analysis
Xue Wang, Yaqun Zhang, Bin Yu, et al.
Computers in Biology and Medicine (2021) Vol. 134, pp. 104516-104516
Closed Access | Times Cited: 53
Improving DNA-Binding Protein Prediction Using Three-Part Sequence-Order Feature Extraction and a Deep Neural Network Algorithm
Jun Hu, Wenwu Zeng, Ning-Xin Jia, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 3, pp. 1044-1057
Closed Access | Times Cited: 17
Prediction of DNA binding proteins using local features and long-term dependencies with primary sequences based on deep learning
Guobin Li, Xiuquan Du, Xinlu Li, et al.
PeerJ (2021) Vol. 9, pp. e11262-e11262
Open Access | Times Cited: 37
RPI-MDLStack: Predicting RNA–protein interactions through deep learning with stacking strategy and LASSO
Bin Yu, Xue Wang, Yaqun Zhang, et al.
Applied Soft Computing (2022) Vol. 120, pp. 108676-108676
Closed Access | Times Cited: 28
Malsite-Deep: Prediction of protein malonylation sites through deep learning and multi-information fusion based on NearMiss-2 strategy
Minghui Wang, Lili Song, Yaqun Zhang, et al.
Knowledge-Based Systems (2022) Vol. 240, pp. 108191-108191
Closed Access | Times Cited: 24
Brain Tumor Detection Using 3D-UNet Segmentation Features and Hybrid Machine Learning Model
Bhargav Mallampati, Abid Ishaq, Furqan Rustam, et al.
IEEE Access (2023) Vol. 11, pp. 135020-135034
Open Access | Times Cited: 14
AntiCVP-Deep: Identify anti-coronavirus peptides between different negative datasets based on self-attention and deep learning
Yan Lu, Minghui Wang, Hongyan Zhou, et al.
Biomedical Signal Processing and Control (2024) Vol. 90, pp. 105909-105909
Closed Access | Times Cited: 5
LBi-DBP, an accurate DNA-binding protein prediction method based lightweight interpretable BiLSTM network
Wenwu Zeng, Xuan Yu, Jiandong Shang, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123525-123525
Closed Access | Times Cited: 5
RUDEUS, a machine learning classification system to study DNA-Binding proteins
David Medina-Ortiz, Gabriel Cabas-Mora, Iván Moya-Barría, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 5
Monitoring Lodging Extents of Maize Crop Using Multitemporal GF-1 Images
Xuzhou Qu, Dong Shi, Xiaohe Gu, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2022) Vol. 15, pp. 3800-3814
Open Access | Times Cited: 20
DRBpred: A sequence-based machine learning method to effectively predict DNA- and RNA-binding residues
Md Wasi Ul Kabir, Duaa Mohammad Alawad, Pujan Pokhrel, et al.
Computers in Biology and Medicine (2024) Vol. 170, pp. 108081-108081
Closed Access | Times Cited: 4
DE-MHAIPs: Identification of SARS-CoV-2 phosphorylation sites based on differential evolution multi-feature learning and multi-head attention mechanism
Minghui Wang, Yan Lu, Jihua Jia, et al.
Computers in Biology and Medicine (2023) Vol. 160, pp. 106935-106935
Open Access | Times Cited: 10
Machine Learning Methods for Automatic Segmentation of Images of Field- and Glasshouse-Based Plants for High-Throughput Phenotyping
Frank Gyan Okyere, Daniel Kingsley Cudjoe, Pouria Sadeghi‐Tehran, et al.
Plants (2023) Vol. 12, Iss. 10, pp. 2035-2035
Open Access | Times Cited: 10
Ensemble learning algorithms based on easyensemble sampling for financial distress prediction
Wei Liu, Yoshihisa Suzuki, Shuyi Du
Annals of Operations Research (2025)
Open Access
TransBind allows precise detection of DNA-binding proteins and residues using language models and deep learning
Md Toki Tahmid, A.K.M. Mehedi Hasan, Md. Shamsuzzoha Bayzid
Communications Biology (2025) Vol. 8, Iss. 1
Open Access
DEEPStack-RBP: Accurate identification of RNA-binding proteins based on autoencoder feature selection and deep stacking ensemble classifier
Qinqin Wei, Qingmei Zhang, Hongli Gao, et al.
Knowledge-Based Systems (2022) Vol. 256, pp. 109875-109875
Closed Access | Times Cited: 16
DBGRU-SE: predicting drug–drug interactions based on double BiGRU and squeeze-and-excitation attention mechanism
Mingxiang Zhang, Hongli Gao, Xin Liao, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 4
Closed Access | Times Cited: 9
ProkDBP: Toward more precise identification of prokaryoticDNAbinding proteins
Upendra Kumar Pradhan, Prabina Kumar Meher, Sanchita Naha, et al.
Protein Science (2024) Vol. 33, Iss. 6
Closed Access | Times Cited: 3
Page 1 - Next Page

Scroll to top