
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:
IRWNRLPI: Integrating Random Walk and Neighborhood Regularized Logistic Matrix Factorization for lncRNA-Protein Interaction Prediction
Qi Zhao, Yue Zhang, Huan Hu, et al.
Frontiers in Genetics (2018) Vol. 9
Open Access | Times Cited: 84
Qi Zhao, Yue Zhang, Huan Hu, et al.
Frontiers in Genetics (2018) Vol. 9
Open Access | Times Cited: 84
Showing 1-25 of 84 citing articles:
Application of Machine Learning in Microbiology
Kaiyang Qu, Fei Guo, Xiangrong Liu, et al.
Frontiers in Microbiology (2019) Vol. 10
Open Access | Times Cited: 169
Kaiyang Qu, Fei Guo, Xiangrong Liu, et al.
Frontiers in Microbiology (2019) Vol. 10
Open Access | Times Cited: 169
Using Network Distance Analysis to Predict lncRNA–miRNA Interactions
Li Zhang, Pengyu Yang, Huawei Feng, et al.
Interdisciplinary Sciences Computational Life Sciences (2021) Vol. 13, Iss. 3, pp. 535-545
Closed Access | Times Cited: 166
Li Zhang, Pengyu Yang, Huawei Feng, et al.
Interdisciplinary Sciences Computational Life Sciences (2021) Vol. 13, Iss. 3, pp. 535-545
Closed Access | Times Cited: 166
Identifying Gut Microbiota Associated With Colorectal Cancer Using a Zero-Inflated Lognormal Model
Dongmei Ai, Hongfei Pan, Xiaoxin Li, et al.
Frontiers in Microbiology (2019) Vol. 10
Open Access | Times Cited: 150
Dongmei Ai, Hongfei Pan, Xiaoxin Li, et al.
Frontiers in Microbiology (2019) Vol. 10
Open Access | Times Cited: 150
Predicting lncRNA–miRNA interactions based on logistic matrix factorization with neighborhood regularized
Hongsheng Liu, Guofei Ren, Haoyu Chen, et al.
Knowledge-Based Systems (2019) Vol. 191, pp. 105261-105261
Closed Access | Times Cited: 123
Hongsheng Liu, Guofei Ren, Haoyu Chen, et al.
Knowledge-Based Systems (2019) Vol. 191, pp. 105261-105261
Closed Access | Times Cited: 123
PredT4SE-Stack: Prediction of Bacterial Type IV Secreted Effectors From Protein Sequences Using a Stacked Ensemble Method
Yi Xiong, Qiankun Wang, Junchen Yang, et al.
Frontiers in Microbiology (2018) Vol. 9
Open Access | Times Cited: 116
Yi Xiong, Qiankun Wang, Junchen Yang, et al.
Frontiers in Microbiology (2018) Vol. 9
Open Access | Times Cited: 116
Integrating Bipartite Network Projection and KATZ Measure to Identify Novel CircRNA-Disease Associations
Qi Zhao, Yingjuan Yang, Guofei Ren, et al.
IEEE Transactions on NanoBioscience (2019) Vol. 18, Iss. 4, pp. 578-584
Closed Access | Times Cited: 98
Qi Zhao, Yingjuan Yang, Guofei Ren, et al.
IEEE Transactions on NanoBioscience (2019) Vol. 18, Iss. 4, pp. 578-584
Closed Access | Times Cited: 98
LncRNAs Regulatory Networks in Cellular Senescence
Pavan Kumar P
International Journal of Molecular Sciences (2019) Vol. 20, Iss. 11, pp. 2615-2615
Open Access | Times Cited: 91
Pavan Kumar P
International Journal of Molecular Sciences (2019) Vol. 20, Iss. 11, pp. 2615-2615
Open Access | Times Cited: 91
Predicting lncRNA–miRNA interactions based on interactome network and graphlet interaction
Li Zhang, Ting Liu, Haoyu Chen, et al.
Genomics (2021) Vol. 113, Iss. 3, pp. 874-880
Open Access | Times Cited: 77
Li Zhang, Ting Liu, Haoyu Chen, et al.
Genomics (2021) Vol. 113, Iss. 3, pp. 874-880
Open Access | Times Cited: 77
Dynamic Development of Fecal Microbiome During the Progression of Diabetes Mellitus in Zucker Diabetic Fatty Rats
Wen Zhou, Huiying Xu, Libin Zhan, et al.
Frontiers in Microbiology (2019) Vol. 10
Open Access | Times Cited: 76
Wen Zhou, Huiying Xu, Libin Zhan, et al.
Frontiers in Microbiology (2019) Vol. 10
Open Access | Times Cited: 76
Predicting potential interactions between lncRNAs and proteins via combined graph auto-encoder methods
Jingxuan Zhao, Jianqiang Sun, Stella C. Shuai, et al.
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Closed Access | Times Cited: 43
Jingxuan Zhao, Jianqiang Sun, Stella C. Shuai, et al.
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Closed Access | Times Cited: 43
Human Microbe-Disease Association Prediction Based on Adaptive Boosting
Lihong Peng, Jun Yin, Liqian Zhou, et al.
Frontiers in Microbiology (2018) Vol. 9
Open Access | Times Cited: 66
Lihong Peng, Jun Yin, Liqian Zhou, et al.
Frontiers in Microbiology (2018) Vol. 9
Open Access | Times Cited: 66
Finding lncRNA-Protein Interactions Based on Deep Learning With Dual-Net Neural Architecture
Lihong Peng, Chang Wang, Xiongfei Tian, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2021) Vol. 19, Iss. 6, pp. 3456-3468
Closed Access | Times Cited: 41
Lihong Peng, Chang Wang, Xiongfei Tian, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2021) Vol. 19, Iss. 6, pp. 3456-3468
Closed Access | Times Cited: 41
Predicting human disease-associated circRNAs based on locality-constrained linear coding
Erxia Ge, Yingjuan Yang, Mingjun Gang, et al.
Genomics (2019) Vol. 112, Iss. 2, pp. 1335-1342
Open Access | Times Cited: 49
Erxia Ge, Yingjuan Yang, Mingjun Gang, et al.
Genomics (2019) Vol. 112, Iss. 2, pp. 1335-1342
Open Access | Times Cited: 49
LPI-KTASLP: Prediction of LncRNA-Protein Interaction by Semi-Supervised Link Learning With Multivariate Information
Cong Shen, Yijie Ding, Jijun Tang, et al.
IEEE Access (2019) Vol. 7, pp. 13486-13496
Open Access | Times Cited: 48
Cong Shen, Yijie Ding, Jijun Tang, et al.
IEEE Access (2019) Vol. 7, pp. 13486-13496
Open Access | Times Cited: 48
Roles of long non-coding RNAs and emerging RNA-binding proteins in innate antiviral responses
Yiliang Wang, Yun Wang, Weisheng Luo, et al.
Theranostics (2020) Vol. 10, Iss. 20, pp. 9407-9424
Open Access | Times Cited: 47
Yiliang Wang, Yun Wang, Weisheng Luo, et al.
Theranostics (2020) Vol. 10, Iss. 20, pp. 9407-9424
Open Access | Times Cited: 47
Discovering Cancer Subtypes via an Accurate Fusion Strategy on Multiple Profile Data
Limin Jiang, Yongkang Xiao, Yijie Ding, et al.
Frontiers in Genetics (2019) Vol. 10
Open Access | Times Cited: 45
Limin Jiang, Yongkang Xiao, Yijie Ding, et al.
Frontiers in Genetics (2019) Vol. 10
Open Access | Times Cited: 45
MicroRNAs Associated With Colon Cancer: New Potential Prognostic Markers and Targets for Therapy
Junfeng Zhu, Ying Xu, Shanshan Liu, et al.
Frontiers in Bioengineering and Biotechnology (2020) Vol. 8
Open Access | Times Cited: 41
Junfeng Zhu, Ying Xu, Shanshan Liu, et al.
Frontiers in Bioengineering and Biotechnology (2020) Vol. 8
Open Access | Times Cited: 41
Probing lncRNA–Protein Interactions: Data Repositories, Models, and Algorithms
Lihong Peng, Fuxing Liu, Jialiang Yang, et al.
Frontiers in Genetics (2020) Vol. 10
Open Access | Times Cited: 39
Lihong Peng, Fuxing Liu, Jialiang Yang, et al.
Frontiers in Genetics (2020) Vol. 10
Open Access | Times Cited: 39
LPI-deepGBDT: a multiple-layer deep framework based on gradient boosting decision trees for lncRNA–protein interaction identification
Liqian Zhou, Zhao Wang, Xiongfei Tian, et al.
BMC Bioinformatics (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 39
Liqian Zhou, Zhao Wang, Xiongfei Tian, et al.
BMC Bioinformatics (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 39
Capsule-LPI: a LncRNA–protein interaction predicting tool based on a capsule network
Ying Li, Hang Sun, Shiyao Feng, et al.
BMC Bioinformatics (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 33
Ying Li, Hang Sun, Shiyao Feng, et al.
BMC Bioinformatics (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 33
LPI-IBNRA: Long Non-coding RNA-Protein Interaction Prediction Based on Improved Bipartite Network Recommender Algorithm
Guobo Xie, Cuiming Wu, Yuping Sun, et al.
Frontiers in Genetics (2019) Vol. 10
Open Access | Times Cited: 36
Guobo Xie, Cuiming Wu, Yuping Sun, et al.
Frontiers in Genetics (2019) Vol. 10
Open Access | Times Cited: 36
Multivariate Information Fusion With Fast Kernel Learning to Kernel Ridge Regression in Predicting LncRNA-Protein Interactions
Cong Shen, Yijie Ding, Jijun Tang, et al.
Frontiers in Genetics (2019) Vol. 9
Open Access | Times Cited: 35
Cong Shen, Yijie Ding, Jijun Tang, et al.
Frontiers in Genetics (2019) Vol. 9
Open Access | Times Cited: 35
T4SE-XGB: Interpretable Sequence-Based Prediction of Type IV Secreted Effectors Using eXtreme Gradient Boosting Algorithm
Tianhang Chen, Xiangeng Wang, Yanyi Chu, et al.
Frontiers in Microbiology (2020) Vol. 11
Open Access | Times Cited: 33
Tianhang Chen, Xiangeng Wang, Yanyi Chu, et al.
Frontiers in Microbiology (2020) Vol. 11
Open Access | Times Cited: 33
Hyperbolic matrix factorization improves prediction of drug-target associations
Aleksandar Poleksić
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 11
Aleksandar Poleksić
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 11
SKF-LDA: Similarity Kernel Fusion for Predicting lncRNA-Disease Association
Guobo Xie, Tengfei Meng, Yu Luo, et al.
Molecular Therapy — Nucleic Acids (2019) Vol. 18, pp. 45-55
Open Access | Times Cited: 34
Guobo Xie, Tengfei Meng, Yu Luo, et al.
Molecular Therapy — Nucleic Acids (2019) Vol. 18, pp. 45-55
Open Access | Times Cited: 34