Shuting Jin

1.2k total citations
31 papers, 739 citations indexed

About

Shuting Jin is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Shuting Jin has authored 31 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 15 papers in Computational Theory and Mathematics and 7 papers in Materials Chemistry. Recurrent topics in Shuting Jin's work include Computational Drug Discovery Methods (15 papers), Bioinformatics and Genomic Networks (9 papers) and Machine Learning in Materials Science (6 papers). Shuting Jin is often cited by papers focused on Computational Drug Discovery Methods (15 papers), Bioinformatics and Genomic Networks (9 papers) and Machine Learning in Materials Science (6 papers). Shuting Jin collaborates with scholars based in China, United States and South Korea. Shuting Jin's co-authors include Xiangrong Liu, Xiangxiang Zeng, Jiawei Lin, Juan Liu, Wei Huang, Feng Xia, Likun Jiang, Rao Fu, Xurui Jin and Zhangming Niu and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and International Journal of Hydrogen Energy.

In The Last Decade

Shuting Jin

26 papers receiving 725 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Shuting Jin China	14	507	357	139	88	69	31	739
Jiajun Hong China	12	614 1.2×	184 0.5×	48 0.3×	54 0.6×	96 1.4×	21	902
Yongchao Luo China	14	581 1.1×	158 0.4×	58 0.4×	40 0.5×	102 1.5×	26	856
Yang Qiu China	13	509 1.0×	503 1.4×	159 1.1×	113 1.3×	58 0.8×	34	804
Chloé‐Agathe Azencott France	11	440 0.9×	220 0.6×	144 1.0×	70 0.8×	48 0.7×	24	785
Jianbo Fu China	17	806 1.6×	223 0.6×	30 0.2×	90 1.0×	185 2.7×	28	1.2k
Samson Fong United States	7	510 1.0×	230 0.6×	67 0.5×	109 1.2×	100 1.4×	11	790
Artur Kadurin Russia	9	523 1.0×	650 1.8×	464 3.3×	101 1.1×	15 0.2×	14	937
Zhaorong Li China	12	430 0.8×	171 0.5×	39 0.3×	42 0.5×	87 1.3×	17	603
Kuzma Khrabrov United States	2	328 0.6×	420 1.2×	287 2.1×	56 0.6×	11 0.2×	4	605

Countries citing papers authored by Shuting Jin

Since Specialization

Citations

This map shows the geographic impact of Shuting Jin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Shuting Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuting Jin more than expected).

Fields of papers citing papers by Shuting Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shuting Jin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Shuting Jin. The network helps show where Shuting Jin may publish in the future.

Co-authorship network of co-authors of Shuting Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Shuting Jin. A scholar is included among the top collaborators of Shuting Jin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shuting Jin. Shuting Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Jin, Shuting, Xiangrong Liu, Junlin Xu, et al.. (2025). Adaptive symmetry-based adversarial perturbation augmentation for molecular graph representations with dual-fusion attention information. Information Fusion. 120. 103062–103062.

Liu, Mingquan, Shuting Jin, Longyue Wang, et al.. (2025). Molecular Dynamics-Powered Hierarchical Geometric Deep Learning Framework for Protein-Ligand Interaction. PubMed. 22(4). 1517–1527.

Meng, Yajie, Zhuang Zhang, Xianfang Tang, et al.. (2025). FusionMVSA: Multi-View Fusion Strategy With Self-Attention for Enhancing Drug Recommendation. IEEE Journal of Biomedical and Health Informatics. 30(2). 1746–1758.

Jin, Shuting, H. Long, Alex Y. Huang, et al.. (2025). Accurate prediction of synergistic drug combination using a multi-source information fusion framework. BMC Biology. 23(1). 200–200. 2 indexed citations

Yu, Xiaojia, Yaping Wu, Yan Bai, et al.. (2025). IDH Genotyping and Glioma Prognosis Research Based on an Interpretable Transformer Learning Framework. CAAI Transactions on Intelligence Technology. 10(6). 1813–1828.

Xu, Junlin, Changcheng Lu, Shuting Jin, et al.. (2025). Deep learning-based cell-specific gene regulatory networks inferred from single-cell multiome data. Nucleic Acids Research. 53(5). 8 indexed citations

Zhu, Nafei, Wenhui Li, Shijia Pan, Shuting Jin, & Jingsha He. (2024). Modeling the dissemination of privacy information in online social networks. Transactions on Emerging Telecommunications Technologies. 35(6). 1 indexed citations

Jin, Shuting, Jihui Lang, Jian Wang, et al.. (2024). FeS nanosheets assembled with 1T-MoS₂ nanoflowers on iron foam for efficient overall water splitting. CrystEngComm. 26(17). 2269–2276. 4 indexed citations

Yu, Xuan, Jing Zhou, Yaping Wu, et al.. (2024). Assessment of MGMT promoter methylation status in glioblastoma using deep learning features from multi-sequence MRI of intratumoral and peritumoral regions. Cancer Imaging. 24(1). 172–172. 9 indexed citations

10.

Jin, Shuting, Jian Cao, Maobin Wei, et al.. (2024). FeCo-MOF derived Co4S3/Fe3S4/MoS2 nanosheet arrays on iron foam for overall water splitting in alkaline water /seawater at large-current density. International Journal of Hydrogen Energy. 61. 329–340. 17 indexed citations

11.

Jiang, Yinghui, Shuting Jin, Xurui Jin, et al.. (2023). Pharmacophoric-constrained heterogeneous graph transformer model for molecular property prediction. Communications Chemistry. 6(1). 60–60. 39 indexed citations

12.

Wu, Fang, Nicolas Courty, Shuting Jin, & Stan Z. Li. (2023). Improving molecular representation learning with metric learning-enhanced optimal transport. Patterns. 4(4). 100714–100714. 3 indexed citations

13.

Jin, Shuting, Hong Yue, Zeng Li, et al.. (2023). A general hypergraph learning algorithm for drug multi-task predictions in micro-to-macro biomedical networks. PLoS Computational Biology. 19(11). e1011597–e1011597. 10 indexed citations

14.

Jin, Shuting, et al.. (2022). LaGAT: link-aware graph attention network for drug–drug interaction prediction. Bioinformatics. 38(24). 5406–5412. 42 indexed citations

15.

Hu, Bing, et al.. (2022). Drug–target interactions prediction via deep collaborative filtering with multiembeddings. Briefings in Bioinformatics. 23(2). 8 indexed citations

16.

Wu, Fang, Shuting Jin, Yinghui Jiang, et al.. (2022). Pre‐Training of Equivariant Graph Matching Networks with Conformation Flexibility for Drug Binding. Advanced Science. 9(33). e2203796–e2203796. 27 indexed citations

17.

Cao, Jian, Yanli Chen, Maobin Wei, et al.. (2022). Hierarchical CoMoS_3.13/MoS₂hollow nanosheet arrays as bifunctional electrocatalysts for overall water splitting. Dalton Transactions. 51(38). 14590–14600. 5 indexed citations

18.

Jin, Shuting, et al.. (2021). Prediction of Protein–Protein Interaction Sites Based on Stratified Attentional Mechanisms. Frontiers in Genetics. 12. 784863–784863. 12 indexed citations

19.

Jin, Shuting, et al.. (2021). HeTDR: Drug repositioning based on heterogeneous networks and text mining. Patterns. 2(8). 100307–100307. 16 indexed citations

20.

Jin, Shuting, Xiangxiang Zeng, Jiansong Fang, et al.. (2019). A network-based approach to uncover microRNA-mediated disease comorbidities and potential pathobiological implications. npj Systems Biology and Applications. 5(1). 41–41. 26 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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