Junjie Wee - RankMe

18 papers Journal 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Persistent Sheaf Laplacian Analysis of Protein Stability and Solubility Changes upon Mutation. CoRR Yiming Ren, Junjie Wee, Xi Chen, Grace Qian, Guo-Wei Wei
2025	J	`jnl`	A Review of Topological Data Analysis and Topological Deep Learning in Molecular Sciences. J. Chem. Inf. Model. Junjie Wee, Jian Jiang
2025	J	`jnl`	CAML: Commutative Algebra Machine Learning─A Case Study on Protein-Ligand Binding Affinity Prediction. J. Chem. Inf. Model. Hongsong Feng, Faisal Suwayyid, Mushal Zia, Junjie Wee, Yuta Hozumi, Chun-Long Chen, Guo-Wei Wei
2025	J	`jnl`	CAP: Commutative algebra prediction of protein-nucleic acid binding affinities. Mach. Learn. Sci. Technol. Mushal Zia, Faisal Suwayyid, Yuta Hozumi, Junjie Wee, Hongsong Feng, Guo-Wei Wei
2025	J	`jnl`	Topological machine learning for protein-nucleic acid binding affinity changes upon mutation. Mach. Learn. Sci. Technol. Xiang Liu, Junjie Wee, Guo-Wei Wei
2025	J	`jnl`	Topology-Enhanced Machine Learning Model (Top-ML) for Anticancer Peptide Prediction. J. Chem. Inf. Model. Joshua Zhi En Tan, Junjie Wee, Xue Gong, Kelin Xia
2024	J	`jnl`	A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity. CoRR Junjie Wee, Xue Gong, Wilderich Tuschmann, Kelin Xia
2024	J	`jnl`	Evaluation of AlphaFold 3's Protein-Protein Complexes for Predicting Binding Free Energy Changes upon Mutation. J. Chem. Inf. Model. Junjie Wee, Guo-Wei Wei
2024	J	`jnl`	Integration of persistent Laplacian and pre-trained transformer for protein solubility changes upon mutation. Comput. Biol. Medicine Junjie Wee, Jiahui Chen, Kelin Xia, Guo-Wei Wei
2024	J	`jnl`	Preventing future zoonosis: SARS-CoV-2 mutations enhance human-animal cross-transmission. Comput. Biol. Medicine Junjie Wee, Jiahui Chen, Guo-Wei Wei
2024	J	`jnl`	Topology-enhanced machine learning model (Top-ML) for anticancer peptide prediction. CoRR Joshua Zhi En Tan, Junjie Wee, Xue Gong, Kelin Xia
2023	J	`jnl`	Curvature-enhanced Graph Convolutional Network for Biomolecular Interaction Prediction. CoRR Cong Shen, Pingjian Ding, Junjie Wee, Jialin Bi, Jiawei Luo, Kelin Xia
2023	J	`jnl`	Fingerprint-Enhanced Graph Attention Network (FinGAT) Model for Antibiotic Discovery. J. Chem. Inf. Model. Hou Yee Choo, Junjie Wee, Cong Shen, Kelin Xia
2023	J	`jnl`	Multiscale Topological Indices for the Quantitative Prediction of SARS CoV-2 Binding Affinity Change upon Mutations. J. Chem. Inf. Model. Jialin Bi, Junjie Wee, Xiang Liu, Cunquan Qu, Guanghui Wang, Kelin Xia
2022	J	`jnl`	Persistent spectral based ensemble learning (PerSpect-EL) for protein-protein binding affinity prediction. Briefings Bioinform. Junjie Wee, Kelin Xia
2022	J	`jnl`	Persistent spectral simplicial complex-based machine learning for chromosomal structural analysis in cellular differentiation. Briefings Bioinform. Weikang Gong, Junjie Wee, Min-Chun Wu, Xiaohan Sun, Chunhua Li, Kelin Xia
2021	J	`jnl`	Forman persistent Ricci curvature (FPRC)-based machine learning models for protein-ligand binding affinity prediction. Briefings Bioinform. Junjie Wee, Kelin Xia
2021	J	`jnl`	Ollivier Persistent Ricci Curvature-Based Machine Learning for the Protein-Ligand Binding Affinity Prediction. J. Chem. Inf. Model. Junjie Wee, Kelin Xia