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:

Geary autocorrelation and DCCA coefficient: Application to predict apoptosis protein subcellular localization via PSSM
Yunyun Liang, Sanyang Liu, Shengli Zhang
Physica A Statistical Mechanics and its Applications (2016) Vol. 467, pp. 296-306
Closed Access | Times Cited: 21

Showing 21 citing articles:

cACP: Classifying anticancer peptides using discriminative intelligent model via Chou’s 5-step rules and general pseudo components
Shahid Akbar, Ateeq Ur Rahman, Maqsood Hayat, et al.
Chemometrics and Intelligent Laboratory Systems (2019) Vol. 196, pp. 103912-103912
Closed Access | Times Cited: 76
Accurate prediction of subcellular location of apoptosis proteins combining Chou’s PseAAC and PsePSSM based on wavelet denoising
Bin Yu, Shan Li, Wenying Qiu, et al.
Oncotarget (2017) Vol. 8, Iss. 64, pp. 107640-107665
Open Access | Times Cited: 72
Prediction of subcellular location of apoptosis proteins by incorporating PsePSSM and DCCA coefficient based on LFDA dimensionality reduction
Bin Yu, Shan Li, Wenying Qiu, et al.
BMC Genomics (2018) Vol. 19, Iss. 1
Open Access | Times Cited: 62
Predicting apoptosis protein subcellular localization by integrating auto-cross correlation and PSSM into Chou’s PseAAC
Shengli Zhang, Yunyun Liang
Journal of Theoretical Biology (2018) Vol. 457, pp. 163-169
Closed Access | Times Cited: 56
Predicting Reaction Rate Constant of Organic Compounds with Singlet Oxygen and Revealing Its Contributors Using Machine Learning
Tengyi Zhu, F. Z. Qi, Cuicui Tao, et al.
Industrial & Engineering Chemistry Research (2025)
Closed Access
A new perspective on predicting the reaction rate constants of hydrated electrons for organic contaminants: Exploring molecular structure characterization methods and ambient conditions
Tengyi Zhu, Shuyin Li, Lili Li, et al.
The Science of The Total Environment (2023) Vol. 904, pp. 166316-166316
Closed Access | Times Cited: 8
Using Evolutionary Information and Multi-Label Linear Discriminant Analysis to Predict the Subcellular Location of Multi-Site Bacterial Proteins via Chou’s 5-Steps Rule
Lei Du, Qingfang Meng, Hui Jiang, et al.
IEEE Access (2020) Vol. 8, pp. 56452-56461
Open Access | Times Cited: 21
A protein fitness predictive framework based on feature combination and intelligent searching
Zhihui Zhang, Zhixuan Li, Qianyue Wang, et al.
Protein Science (2024) Vol. 33, Iss. 12
Closed Access | Times Cited: 2
The Discovery of New Drug-Target Interactions for Breast Cancer Treatment
Jiali Song, Zhenyi Xu, Lei Cao, et al.
Molecules (2021) Vol. 26, Iss. 24, pp. 7474-7474
Open Access | Times Cited: 16
Subcellular location prediction of apoptosis proteins using two novel feature extraction methods based on evolutionary information and LDA
Lei Du, Qingfang Meng, Yuehui Chen, et al.
BMC Bioinformatics (2020) Vol. 21, Iss. 1
Open Access | Times Cited: 17
Prediction of apoptosis protein subcellular localization via heterogeneous features and hierarchical extreme learning machine
S. Zhang, T. Zhang, Chengyu Liu
SAR and QSAR in environmental research (2019) Vol. 30, Iss. 3, pp. 209-228
Closed Access | Times Cited: 17
Identification of amyloidogenic peptides via optimized integrated features space based on physicochemical properties and PSSM
Cong Zhou, Sanyang Liu, Shengli Zhang
Analytical Biochemistry (2019) Vol. 583, pp. 113362-113362
Closed Access | Times Cited: 12
Time Granularity Setting Principle for Short-Term Passenger Flow Prediction in Urban Rail Transit
Guangyu Zhu, Y.U.T. Gong, Jiacun Ding, et al.
IEEE Transactions on Computational Social Systems (2024) Vol. 11, Iss. 5, pp. 6466-6475
Closed Access | Times Cited: 1
Predictions of Apoptosis Proteins by Integrating Different Features Based on Improving Pseudo-Position-Specific Scoring Matrix
Xiaoli Ruan, Dongming Zhou, Rencan Nie, et al.
BioMed Research International (2020) Vol. 2020, pp. 1-13
Open Access | Times Cited: 6
Response of cross-correlations between high PM2.5 and O3 with increasing time scales to the COVID-19: different trends in BTH and PRD
Bingyi Bao, Youping Li, Chunqiong Liu, et al.
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 5
Open Access | Times Cited: 2
Prediction of apoptosis protein subcellular location based on position-specific scoring matrix and isometric mapping algorithm
Xiaoli Ruan, Dongming Zhou, Rencan Nie, et al.
Medical & Biological Engineering & Computing (2019) Vol. 57, Iss. 12, pp. 2553-2565
Closed Access | Times Cited: 5
Prediction of Apoptosis Protein Subcellular Localization with Multilayer Sparse Coding and Oversampling Approach
Xingjian Chen, Xuejiao Hu, Wenxin Yi, et al.
BioMed Research International (2019) Vol. 2019, pp. 1-9
Open Access | Times Cited: 4
An MCDM approach for Reverse vaccinology model to predict bacterial protective antigens
Pratik Angaitkar, Rekh Ram Janghel, Tirath Prasad Sahu
Vaccine (2024) Vol. 42, Iss. 18, pp. 3874-3882
Closed Access
O potencial do método ρDCCA nas ciências da saúde: uma revisão integrativa com foco na Dengue
Bassani de Oliveira, Cláudia Andréa Lima Cardoso
DELOS Desarrollo Local Sostenible (2024) Vol. 17, Iss. 55, pp. e1486-e1486
Open Access
Response of cross-correlations between high concentrations of PM 2.5 and O 3 at different time scales to the COVID-19: two trends in BTH and PRD
Bingyi Bao, Youping Li, Chunqiong Liu, et al.
Research Square (Research Square) (2022)
Open Access
Predicting Subcellular Localization of Apoptotic Proteins Using Kernel Svm and Segmentation Pssm Method
新男 夏
Computer Science and Application (2021) Vol. 11, Iss. 03, pp. 710-719
Closed Access
Page 1

Scroll to top