B i o A I − L a b

  • Hainan University, Haikou, Hainan Province, China

Zilong Zhang

Associate Professor

Contact:zhangzilong@hainanu.edu.cn

Dr. Zilong Zhang is an Associate Professor of School of Computer Science and Technology, Hainan University. He received his PH.D. from the University of Tokyo, Japan, in 2020, and worked at University of Electronic Science and Technology of China from 2020 to 2022. His research is in the areas of bioinformatics, machine learning and deep learning. Now his major interests include graph neural network, multi-omics data integration, drug development. Several related works have been published by Briefings in Bioinformatics, Bioinformatics, Computers in Biology and Medicine. He is also a reviewer for many impacted journals and NSFC(National Natural Science Foundation of China).


Activity :

•   Academic Committee Member of BIIP (Bioinformatics and Intelligent Information Processing Conference) 2022.


•   Academic Committee Member NCCBB (National Conference on Computational Biology and Bioinformatics) 2022.


•   Guest editor of Frontiers in Genetics (Special Issue) 2022.


•   The 1st academic symposium of “Doctoral International Exchange Program” 2020.


•   Reviewer of PLoS Computational Biology、Briefings in Bioinformatics、Computers in Biology and Medicine、Frontiers of Computer Science、Briefings in Functional Genomics、Frontiers in Genetics、Frontiers in Molecular Biosciences, etc.


•   The Postdoctoral International Exchange Program 2020.


•   Japanese Government (Monbukagakusho: MEXT) Scholarship Program 2016-2020.

Paper:

2026:

  • 1. Aoyun Geng, Jinwei Wang, Yanfei Qu, Junlin Xu, Yajie Meng, Quan Zou, Zilong Zhang*, Feifei Cui. AdaptIPs: A dual-channel deep learning framework integrating protein language model representations and transfer learning for phosphorylation-site prediction. Engineering Applications of Artificial Intelligence 2026, 182:1182. (中科院大类一区，影响因子9.0，TOP期刊)

  • 2. Yanping Zhang, Xuejing Ma, Zijia Bai, Yajie Meng, Pan Zeng, Xianfang Tang, Zilong Zhang*, Feifei Cui, Peng Wang, Jialiang Yang, Junlin Xu. SMGC: Spatial Multi-omics Analysis with Granular-ball Contrastive Learning Framework. Expert Systems with Applications 2026 (online first; formal issue: 2027), 333:133796. (中科院大类一区，影响因子9.4，TOP期刊)

  • 3. Junlin Xu, Ye Yuan, Menglong Hu, Zhiwei Xu, Yajie Meng, Zilong Zhang*, Feifei Cui, Shuting Jin. A Scalable Structure-Aware Multimodal Architecture for Accurate Drug-Target Affinity Prediction. IEEE Journal of Biomedical and Health Informatics 2026, Early Access:1-11. (中科院大类二区，影响因子7.7，TOP期刊)

  • 4. An Xiong, Zheyu Zhou, Yazi Li, Junlin Xu, Yajie Meng, Feifei Cui, Leyi Wei, Quan Zou, Zilong Zhang*. GoMA-DTA: A Gene Ontology-Guided Multimodal Attention Fusion Model for Drug-Target Affinity Prediction. IEEE Transactions on Neural Networks and Learning Systems 2026, Early Access:1-15. (中科院大类一区，影响因子9.7，TOP期刊)

  • 5. Xinyu Li, Qianmao Wen, Zilong Zhang*, Feifei Cui. From Binary Labels to Dynamic Landscapes: The Evolving Computational Prediction of Protein-RNA Interactions Through Tasks and Deep Learning Paradigms. Biotechnology Advances 2026, 92:108985. (中科院大类一区，影响因子14.1，TOP期刊)

  • 6. Zilong Zhang*, Hao Duan, Xin Gao. MCFST: Spatial Domain Identification Method Based on Multi-view Graph Convolutional Network and Graph Fusion Network. Bioinformatics 2026, 42(7):btag469. (中科院大类三区，影响因子5.5)

  • 7. Pan Zeng, Zexin Li, Xianfang Tang, Yajie Meng, Zilong Zhang*, Feifei Cui, Jing Jiang, Junlin Xu. MMTF-DTI: Drug-target Interaction Prediction via Multimodal Feature Extraction and Dynamic Fusion. Journal of Biomedical Informatics 2026, 180:105069. (中科院大类二区，影响因子5.9)

  • 8. Pan Zeng, Runzhi Li, Yajie Meng, Zilong Zhang*, Feifei Cui, Xianfang Tang, Jialiang Yang, Wei Hu, Junlin Xu. SpatialSyn: A Synergistic Graph Framework for Spatial Domain Identification in Multi-Omics. Expert Systems with Applications 2026, 331:133296. (中科院大类一区，影响因子9.4，TOP期刊)

  • 9. Yanna Jia, Shanyue Wang, Jie Yin, Chao Yang, Junlin Xu, Yajie Meng, Quan Zou, Feifei Cui, Tao Wang, Zilong Zhang*. RPI-PLMGNN: Enhancing RNA-Protein Interaction Prediction with the Pretrained Large Language Models and Graph Neural Networks. ACS Synthetic Biology 2026, 15(7):2980-2993. (中科院大类二区，影响因子4.5)

  • 10. Yan Xia, An Xiong, Yike Wang, Junlin Xu, Yajie Meng, Leyi Wei, Quan Zou, Feifei Cui, Zilong Zhang*, Xiulai Li. MPMFMol: Multitask Self-Supervised Pretraining with Multimodal Fine-Tuning for Molecular Property Prediction. Journal of Chemical Information and Modeling 2026, 66(12):6855-6865. (中科院大类二区，影响因子6.4，TOP期刊)

  • 11. Jingwei Lv, Qianyang Wu, Jian Liu, Binlu Yang, Yuanhao Li, Junlin Xu, Yajie Meng, Leyi Wei, Zilong Zhang*, Quan Zou, Xiulai Li, Feifei Cui. INB3P: A Multi-Modal and Interpretable Co-Attention Framework Integrating Property-Aware Explanations and Memory-Bank Contrastive Fusion for Blood-Brain Barrier Penetrating Peptide Discovery. Advanced Science 2026, 13(34):e23984. (中科院大类一区，影响因子14.1，TOP期刊)

  • 12. Yilang Li, Yidi Sun, Aoyun Geng, Junlin Xu, Yajie Meng, Feifei Cui, Leyi Wei, Quan Zou, Xiulai Li, Zilong Zhang*. scHilda: Hierarchical Integration of LLM with KG Database for Single Cell Type Annotation. PLOS Computational Biology 2026, 22(5):e1014291. (中科院大类二区，影响因子3.7)

  • 13. Yidi Sun, Feifei Cui, Junlin Xu, Yajie Meng, Leyi Wei, Quan Zou, Zilong Zhang*. Advances and Challenges in Cell Type Annotation for Spatial Transcriptomics. Archives of Computational Methods in Engineering 2026, Online First. (中科院大类一区，影响因子12.9，TOP期刊)

  • 14. Xiuhao Fu, Chao Yang, Chunyan Cui, Aoyun Geng, Yidi Sun, Chao Zha, Feifei Cui, Leyi Wei, Quan Zou, Xin Gao, Zilong Zhang*. Incorporating Valuable Prior Knowledge to Improve Deep Learning Prediction of Genetic Perturbation Responses. Genome Research 2026, 36(5):1040-1052. (中科院大类一区，影响因子6.3，TOP期刊)

  • 15. Yike Wang, Jingwei Lv, Yan Xia, Junlin Xu, Yajie Meng, Feifei Cui, Leyi Wei, Quan Zou, Zilong Zhang*. A Unified Survey on Drug-target Interaction and Binding Affinity Prediction: Models, Representations, and Challenges. Biotechnology Advances 2026, 88:108843. (中科院大类一区，影响因子14.1，TOP期刊)

  • 16. Shanyue Wang, Aoyun Geng, Zhenjie Luo, Yazi Li, Junlin Xu, Yajie Meng, Leyi Wei, Quan Zou, Zilong Zhang*, Tao Wang, Feifei Cui. MsgaBpred: A B-cell Epitope Predictor Integrating AlphaFold3-predicted Structures with Multi-scale GCNs and Pre-trained Language Model ESM-C. PLOS Computational Biology 2026, 22(4):e1014195. (中科院大类二区，影响因子3.7)

  • 17. Buchao Zhan, Xin Yang, Dongmei He, Zilong Zhang*, Feifei Cui, Qingchen Zhang, Shankai Yan. Het2Gene: A Phenotype-driven Model for Gene Prioritization by Heterogeneous Graph Embedding. Computers in Biology and Medicine 2026, 205:111543. (中科院大类二区，影响因子6.3)

  • 18. Xiaomeng Lin, Ruiqi Liu, Aoyun Geng, Junlin Xu, Yajie Meng, Feifei Cui, Leyi Wei, Quan Zou, Zilong Zhang*. AFP-GFuse: An Antifungal Peptide Identification Model with Structural Information Fusion via Multi-graph Neural Networks and Cross-attention Mechanism. Molecular Diversity 2026, 30(2):2525-2543. (中科院大类二区，影响因子4.3)

  • 19. Jingwei Lv, Kexin Li, Yike Wang, Junlin Xu, Yajie Meng, Feifei Cui, Leyi Wei, Qingchen Zhang, Zilong Zhang*. ACP-EPC: An Interpretable Deep Learning Framework for Anticancer Peptide Prediction Utilizing Pre-trained Protein Language Model and Multi-view Feature Extracting Strategy. Molecular Diversity 2026, 30(2):2239-2254. (中科院大类二区，影响因子4.3)

  • 20. Jinjin Li, Xiaorui Kang, Chen Su, Hua Shi, Feifei Cui, Zilong Zhang*, Changhang Lin, Leyi Wei. Multitask Contrastive Learning with Attention Mechanisms for Neuropeptide Prediction Using ESM Representations. ACS Synthetic Biology 2026, 15(4):1602-1616. (中科院大类二区，影响因子4.5)

  • 21. Junlin Xu, Zhuang Zhang, Zhenghang Gong, Jincan Li, Pan Zeng, Zilong Zhang*, Xiong Li, Shuting Jin, Haowen Chen, Yajie Meng. FuseMine: Robust Multi-Modal Compound-Protein Interaction Prediction via Differential Attention Feature Mining. Proceedings of the AAAI Conference on Artificial Intelligence 2026, 40(32):27278-27286. AAAI-2026. (CCF-A会议)

  • 22. Qianyang Wu, Jingwei Lv, Zilong Zhang*, Feifei Cui. Generalizable Drug-Target Interaction Prediction via ESM-2 Representations and Progressive Contrastive Curriculum Learning. Proceedings of the AAAI Conference on Artificial Intelligence 2026, 40(2):1276-1284. AAAI-2026. (CCF-A会议)

  • 23. Yan Xia, Yazi Li, Shuting Jin, Junlin Xu, Yajie Meng, Leyi Wei, Zilong Zhang*, Xin Gao, Feifei Cui. MFDL-DDI: An Effective Deep Learning-based Framework for Predicting Drug-Drug Interactions Through Multimodal Information Fusion. Pattern Recognition 2026, 178:113431. (中科院大类一区，影响因子9.1，TOP期刊)

  • 24. Junlin Xu, Cheng Guo, Yajie Meng, Shuting Jin, Changcheng Lu, Zilong Zhang*, Feifei Cui, Xiangzheng Fu, Quan Zou, Tian Tian, Xiangxiang Zeng. A Deep Adversarial Network Model for Multi-task Analysis of Single-cell Omics Data. Briefings in Bioinformatics 2026, 27(2):bbag016. (中科院大类二区，影响因子7.3)

  • 25. Qianmao Wen, Xinyu Li, Jiaxing Song, Junlin Xu, Yajie Meng, Leyi Wei, Zilong Zhang*, Quan Zou, Feifei Cui. Computational Methods for Signal Peptide Prediction: From Statistical Models to Deep Learning. Biotechnology Advances 2026, 88:108819. (中科院大类一区，影响因子14.1，TOP期刊)

  • 26. Xu Guo, Jianbo Qiao, Siqi Chen, Junru Jin, Ding Wang, Wenjia Gao, Feifei Cui, Zilong Zhang*, Hua Shi, Zhongmin Yan, Leyi Wei, Xinbo Jiang. ABT-DDI: A Graph Transformer Model with Atomic-Bond Structure Awareness for Drug-Drug Interaction Prediction. ACS Synthetic Biology 2026, 15(1):297-308. (中科院大类二区，影响因子4.5)

  • 27. Changhang Lin, Shuwen Xiong, Jinjin Li, Feifei Cui, Zilong Zhang*, Hua Shi, Leyi Wei. PepGraphormer: An ESM-GAT Hybrid Deep Learning Framework for Antimicrobial Peptide Prediction. Journal of Cheminformatics 2026, 18(1):15. (中科院大类二区，影响因子7.9)

  • 28. Aoyun Geng, Chunyan Cui, Zhenjie Luo, Junlin Xu, Yajie Meng, Feifei Cui, Leyi Wei, Quan Zou, Zilong Zhang*. Computational methods for spatial multi-omics integration. Biotechnology Advances 2026, 87:108807. (中科院大类一区，影响因子14.1，TOP期刊)

  • 29. Aoyun Geng, Chunyan Cui, Yunyun Su, Zhenjie Luo, Feifei Cui, Zilong Zhang*. TLAGC: Taylor Linear Attention-Guided Graph Convolutions for Revealing Spatial Domains in Spatial Multi-Omics Data. AAAI-2026. (CCF-A会议)

  • 30. Guanjie Song, Zhenjie Luo, Aoyun Geng, Junlin Xu, Yajie Meng, Feifei Cui, Leyi Wei, Quan Zou, Zilong Zhang*. Protein Solubility Prediction Using Fused Graph Convolutional Networks and Improved Attention Networks with AlphaFold3-Derived Features. Journal of Chemical Information and Modeling 2026, 66(2):894-909. (中科院大类二区，影响因子6.4，TOP期刊)

2025:

  • 1. Zhenjie Luo, Aoyun Geng, Leyi Wei, Quan Zou, Feifei Cui*, Zilong Zhang*. CPL-Diff: A Diffusion Model for De Novo Design of Functional Peptide Sequences with Fixed Length. Advanced Science 2025; 12(20):2412926. (中科院大类一区，影响因子14.1，TOP期刊)

  • 2. Yunyun Su, Xiuhao Fu, Leyi Wei, Zilong Zhang*, Quan Zou*, Feifei Cui*. PROTCROWN: A Manually Curated Resource of Protein Corona Data for Unlocking the Potential of Protein–Nanoparticle Interactions. Nano Letters 2025; 25(5):1739-1744 (自然指数期刊，影响因子14.1，TOP期刊)

  • 3. Chao Yang, Xiuhao Fu, Zhenjie Luo, Leyi Wei, Jingbing Li, Feifei Cui, Quan Zou, Qingchen Zhang, Zilong Zhang*. GCNLA: Inferring Cell-Cell Interactions From Spatial Transcriptomics With Long Short-Term Memory and Graph Convolutional Networks. IEEE Journal of Biomedical and Health Informatics 2025:1-14. (中科院小类一区，影响因子6.8，TOP期刊)

  • 4. Yuanhao Li, Aoyun Geng, Zheyu Zhou, Feifei Cui, Junlin Xu, Yajie Meng, Leyi Wei, Quan Zou, Qingcheng Zhang, Zilong Zhang*. AVP-HNCL: Innovative Contrastive Learning with a Queue-Based Negative Sampling Strategy for Dual-Phase Antiviral Peptide Prediction. Journal of Chemical Information and Modeling 2025, 65(12):5868-5886. (TOP期刊，影响因子5.3)

  • 5. Shun Gao, Yan Xia, Xingfeng Li, Feifei Cui, Qingchen Zhang, Quan Zou, Zilong Zhang*. ACP-ESM2: Enhancing Anticancer Peptide Prediction with Pre-trained Protein Language Models. IEEE Transactions on Computational Biology and Bioinformatics 2025:1-14. (CCF-B期刊)

  • 6. Chunyan Cui, Feifei Cui, Quan Zou, Zilong Zhang*, Linpei Jia*. Progress and applications of single-cell RNA sequencing and spatial transcriptome technology in acute kidney injury research. Molecular Therapy Nucleic Acids 2025; 36(3). (TOP期刊，影响因子6.4)

  • 7. Yan Xia, An Xiong, Zilong Zhang*, Quan Zou*, Feifei Cui*. A comprehensive review of deep learning-based approaches for drug–drug interaction prediction. Briefings in Functional Genomics 2025; 24:elae052.

  • 8. Shun Gao, Yanna Jia, Feifei Cui, Junlin Xu, Yajie Meng, Leyi Wei, Qingchen Zhang, Quan Zou, Zilong Zhang*. PLPTP: A Motif-based Interpretable Deep Learning Framework Based on Protein Language Models for Peptide Toxicity Prediction. Journal of Molecular Biology 2025; 437(12):169115.

  • 9. Jian Liu, Aoyun Geng, Feifei Cui, Junlin Xu, Yajie Meng, Leyi Wei, Qingchen Zhang, Quan Zou, Zilong Zhang*. NeuroCL: A deep learning approach for identifying neuropeptides based on contrastive learning. Analytical Biochemistry 2025; 705:115920.

2024:

  • 1. Xiuhao Fu, Chao Yang, Yunyun Su, Chunling Liu, Haoye Qiu, Yanyan Yu, Gaoxing Su, Qingchen Zhang, Feifei Cui*, Quan Zou*, Zilong Zhang*. Machine Learning Enables Comprehensive Prediction of the Relative Protein Abundance of Multiple Proteins on the Protein Corona. Research; 7:0487. (中科院大类一区，影响因子10.7，TOP期刊)

  • 2. Yazi Li, Xiaoman Wei, Qinglin Yang, An Xiong, Xingfeng Li, Quan Zou, Feifei Cui*, Zilong Zhang*. msBERT-Promoter: a multi-scale ensemble predictor based on BERT pre-trained model for the two-stage prediction of DNA promoters and their strengths. BMC Biology 2024; 22(1):126. (中科院大类一区，影响因子5.4，TOP期刊)

  • 3. Cuilin Xiao, Zheyu Zhou, Jiayi She, Jinfen Yin, Feifei Cui, Zilong Zhang*. PEL-PVP: Application of plant vacuolar protein discriminator based on PEFT ESM-2 and bilayer LSTM in an unbalanced dataset. International Journal of Biological Macromolecules 2024; 277:134317. (中科院大类一区，影响因子7.7, TOP期刊)

  • 4. Zheyu Zhou, Cuilin Xiao, Jinfen Yin, Jiayi She, Hao Duan, Chunling Liu, Xiuhao Fu, Feifei Cui, Qi Qi, Zilong Zhang*. PSAC-6mA: 6mA site identifier using self-attention capsule network based on sequence-positioning. Computers in Biology and Medicine 2024; 171:108129. (中科院小类一区，影响因子7.7，TOP期刊)

  • 5. Hao Duan, Qingchen Zhang, Feifei Cui*, Quan Zou*, Zilong Zhang*. MVST: Identifying spatial domains of spatial transcriptomes from multiple views using multi-view graph convolutional networks. PLOS Computational Biology 2024; 20(9):e1012409. (CCF-B推荐期刊)

  • 6. Xiuhao Fu, Hao Duan, Xiaofeng Zang, Chunling Liu, Xingfeng Li, Qingchen Zhang, Zilong Zhang*, Quan Zou*, Feifei Cui*. Hyb_SEnc: An Antituberculosis Peptide Predictor Based on a Hybrid Feature Vector and Stacked Ensemble Learning. IEEE/ACM Transactions on Computational Biology and Bioinformatics 2024:1-17. (CCF-B期刊)

  • 7. Chaorui Yan, Yanxu Zhu, Miao Chen, Kainan Yang, Feifei Cui*, Quan Zou*, Zilong Zhang*. Integration Tool for scRNA-seq Data and Spatial Transcriptomics Sequencing Data. Briefings in Functional Genomics, 2024:elae002. (影响因子4.0)

  • 8. Xiuhao Fu, Ye Yuan, Haoye Qiu, Haodong Suo, Yingying Song, Anqi Li, Yupeng Zhang, Cuilin Xiao, Yazi Li, Lijun Dou, Zilong Zhang*, Feifei Cui*. AFG-PPIS: A Protein-protein Interaction Site Predictor Based on Attention Mechanism and Graph Convolutional Networks. Methods, 2024, YMETH 5447. (影响因子4.8)

  • 9. Hao Duan, Xiuhao Fu, Chunling Liu, Xiaofeng Zang, Anqi Xu, Xingfeng Li, Qingchen Zhang, Zilong Zhang*, Feifei Cui*. Machine learning-based prediction model for distant metastasis of breast cancer. Computers in Biology and Medicine, 169, 107943 (2024). (中科院小类一区，影响因子7.7，TOP期刊)

  • 10. Yidi Sun, Lingling Kong, Jiayi Huang, Hongyan Deng, Xinling Bian, Xingfeng Li, Feifei Cui, Lijun Dou, Chen Cao, Quan Zou*, Zilong Zhang*. A comprehensive survey of dimensionality reduction and clustering methods for single-cell and spatial transcriptomics data. Briefings in Functional Genomics 2024:elae023.

  • 11. Yidi Sun, Zhuoyu Pan, Ziyi Wang, Haofei Wang, Leyi Wei, Feifei Cui*, Quan Zou*, Zilong Zhang*. Single-cell transcriptome analysis reveals immune microenvironment changes and insights into the transition from DCIS to IDC with associated prognostic genes. Journal of Translational Medicine 2024, 22(1):894. (影响因子7.5，Top期刊)

  • 12. Ziyi Wang, Aoyun Geng, Hao Duan, Feifei Cui, Quan Zou, Zilong Zhang*. A Comprehensive Review of Approaches for Spatial Domain Recognition of Spatial Transcriptomes. Briefings in Functional Genomics 2024, 23(6):702-712. (影响因子4.0)

2023:

  • 1. Yunyun Su, Shiyu Yan, Chen Cao, Feifei Cui, Quan Zou*, Zilong Zhang*. Human-Spa: An Online Platform Based on Spatial Transcriptome Data for Diseases of Human Systems. 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 5-8 Dec. 2023, 293-298. (CCF-B推荐会议)

  • 2. Ruiqi Liu, Xiuhao Fu, Shankai Yan, Zilong Zhang, Feifei Cui*. AIPPT: Predicts anti-inflammatory peptides using the most characteristic subset of bases and sequences by stacking ensemble learning strategies. (Under review)

Before 2022:

  • 1. Zilong Zhang, Feifei Cui, Wei Su, Lijun Dou, Anqi Xu, Chen Cao, Quan Zou*. webSCST: an interactive web application for single-cell RNA-sequencing data and spatial transcriptomic data integration. Bioinformatics. 2022. Doi: 10.1093/bioinformatics/btac350.（生物信息学顶刊，IF=6.937）

  • 2. Zilong Zhang, Feifei Cui, Chunyu Wang, Lingling Zhao*, Quan Zou*. Goals and approaches for each processing step for single-cell RNA sequencing data. Briefings in Bioinformatics. 2021, 22(4): bbaa314. (中科院一区，IF=13.994，TOP期刊)

  • 3. Zilong Zhang, Feifei Cui, Chen Lin, Lingling Zhao, Chunyu Wang, Quan Zou*. Critical downstream analysis steps for single-cell RNA sequencing data. Briefings in Bioinformatics. 2021, 22(5): bbab105. (中科院一区，IF=13.994，TOP期刊)

  • 4. Zilong Zhang, Feifei Cui, Song Wu*, Quan Zou*. Single-cell RNA analysis reveals the potential risk of organ-specific cell types vulnerable to SARS-CoV-2 infections. Computers in Biology and Medicine. 2021, 140: 105092. (IF=4.589)

  • 5. Zilong Zhang, Feifei Cui, Murong Zhou, Song Wu*, Quan Zou*, Bo Gao*. Single-cell RNA sequencing analysis identifies key genes in brain metastasis from lung adenocarcinoma. Current Gene Therapy. 2021, 21(4): 338-48.（IF=4.391）

  • 6. Lijun Dou, Zilong Zhang, Lei Xu, Quan Zou. iKcr_CNN: A novel computational tool for imbalance classification of human nonhistone crotonylation sites based on convolutional neural networks with focal loss. Computational and Structural Biotechnology Journal. 2022, 20:3268-3279. (IF=7.271)

  • 7. Feifei Cui, Zilong Zhang, Quan Zou*. Sequence representation approaches for sequence-based protein prediction tasks that use deep learning. Briefings in Functional Genomics. 2021, 20(1): 61-73. (IF=4.241)

  • 8. Feifei Cui, Zilong Zhang, Chen Cao, Quan Zou, Dong Chen*, Xi Su*. Protein-DNA/RNA interactions: Machine intelligence tools and approaches in the era of artificial intelligence and big data. Proteomics. 2022, 3: e2100197. Doi: 10.1002/pmic.202100197. (IF=4.044)

  • 9. Chen Cao, Jianhau Wang, Devin Kwok, Feifei Cui, Zilong Zhang, Da Zhao, Mulin Jun Li, Quan Zou*. webTWAS: a resource for disease candidate susceptibility genes identified by transcriptome-wide association study. Nucleic acids research. 2022, 50(D1): D1123-D1130. (中科院分区一区，IF=16.971，TOP期刊)

  • 10. Kunsen Lin, Youcai Zhao, Jia-Hong Kuo, Hao Deng, Feifei Cui, Zilong Zhang, Meilan Zhang, Chunlong Zhao, Xiaofeng Gao*, Tao Zhou*, Tao Wang*. Toward smarter management and recovery of municipal solid waste: A critical review on deep learning approaches. Journal of Cleaner Production, 2022: p. 130943. (中科院分区一区, IF=9.297)

  • 11. Feifei Cui, Shuang Li, Zilong Zhang, Miaomiao Sui, Chen Cao, Abd El-Latif Hesham, Quan Zou*. DeepMC-iNABP: Deep learning for multiclass identification and classification of nucleic acid-binding proteins. Computational and Structural Biotechnology Journal. 2022, 20: 2020-2028. (IF=7.271)

  • 12. Wei Sun, Zilong Zhang, Xin liu, Shuang Zhang, Lu He, Zhe Wang, Guangshu Wang*. Terpene glycosides from the roots of Sanguisorba officinalis L. and their hemostatic activities. Molecules (Basel, Switzerland). 2012, 17(7): 7629-36. (IF=4.411)

  • 13. Zheng Chen, Zijie Shen, Zilong Zhang, Da Zhao, Lei Xu* and Lijun Zhang*. RNA-associated co-expression network identifies novel biomarkers for digestive system cancer. Frontiers in Genetics. 2021, 12: 659788 （IF=4.599）