Jike Wang

1.9k total citations · 2 hit papers
52 papers, 1.1k citations indexed

About

Jike Wang is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Jike Wang has authored 52 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 35 papers in Computational Theory and Mathematics and 25 papers in Materials Chemistry. Recurrent topics in Jike Wang's work include Computational Drug Discovery Methods (35 papers), Machine Learning in Materials Science (22 papers) and Protein Structure and Dynamics (21 papers). Jike Wang is often cited by papers focused on Computational Drug Discovery Methods (35 papers), Machine Learning in Materials Science (22 papers) and Protein Structure and Dynamics (21 papers). Jike Wang collaborates with scholars based in China, Macao and United States. Jike Wang's co-authors include Tingjun Hou, Dongsheng Cao, Chang‐Yu Hsieh, Dejun Jiang, Zhenhua Wu, Yu Kang, Mingyang Wang, Hongyan Du, Chao Shen and Xujun Zhang and has published in prestigious journals such as Chemical Reviews, Nucleic Acids Research and Advanced Materials.

In The Last Decade

Jike Wang

51 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Discovery of antimicrobial peptides with notable antibacterial potency by an LLM-based foundation model

2025 33 citations Jike Wang, Yu Kang et al. Science Advances profile →
AI‐Guided Design of Antimicrobial Peptide Hydrogels for Precise Treatment of Drug‐resistant Bacterial Infections

2025 27 citations Fan Wang, Jike Wang et al. Advanced Materials profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jike Wang China	18	753	660	458	79	77	52	1.1k
Wen Torng United States	7	715 0.9×	632 1.0×	337 0.7×	60 0.8×	74 1.0×	7	1.0k
Josep Arús‐Pous Switzerland	12	1.0k 1.4×	776 1.2×	741 1.6×	119 1.5×	98 1.3×	17	1.3k
Lukas Friedrich Switzerland	13	574 0.8×	490 0.7×	324 0.7×	105 1.3×	124 1.6×	25	940
Philipp Eiden Germany	8	895 1.2×	537 0.8×	788 1.7×	69 0.9×	46 0.6×	9	1.2k
Xiaoqin Tan China	14	668 0.9×	647 1.0×	265 0.6×	61 0.8×	94 1.2×	26	1.0k
Eloy Félix United Kingdom	6	625 0.8×	545 0.8×	230 0.5×	41 0.5×	88 1.1×	11	1.0k
Amol Thakkar Switzerland	8	646 0.9×	420 0.6×	554 1.2×	120 1.5×	61 0.8×	15	923
Feisheng Zhong China	13	1.1k 1.5×	952 1.4×	671 1.5×	157 2.0×	111 1.4×	18	1.7k
Mélaine A. Kuenemann France	14	518 0.7×	544 0.8×	270 0.6×	41 0.5×	91 1.2×	23	994
Rishal Aggarwal India	6	498 0.7×	505 0.8×	274 0.6×	35 0.4×	58 0.8×	6	799

Countries citing papers authored by Jike Wang

Since Specialization

Citations

This map shows the geographic impact of Jike Wang'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 Jike Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jike Wang more than expected).

Fields of papers citing papers by Jike Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jike Wang. 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 Jike Wang. The network helps show where Jike Wang may publish in the future.

Co-authorship network of co-authors of Jike Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jike Wang. A scholar is included among the top collaborators of Jike Wang 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 Jike Wang. Jike Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Tian, Zhen‐Nan, Hongqiang Dong, Qiao-Yan Qi, et al.. (2025). A Type of Halogen-Bonded Organic Frameworks Based on N⋯Cl ⁺ ⋯N Bonds: Stabilizing Sensitive Species. CCS Chemistry. 1–14. 1 indexed citations

Chen, Kepeng, Jike Wang, Dan Li, et al.. (2025). Effective generation of heavy-atom-free triplet photosensitizers containing multiple intersystem crossing mechanisms based on deep learning. Chemical Science. 16(32). 14698–14709. 1 indexed citations

Zhai, Silong, Jike Wang, Stephanie Lin, et al.. (2025). PepPCBench is a Comprehensive Benchmarking Framework for Protein–Peptide Complex Structure Prediction. Journal of Chemical Information and Modeling. 65(16). 8497–8513. 4 indexed citations

Gao, Ruimin, Pei Xiong, Qian Zhang, et al.. (2025). Unveiling the Over‐Lithiation Behavior of NCM523 Cathode Towards Long‐Life Anode‐Free Li Metal Batteries. Advanced Science. 12(19). e2503558–e2503558. 3 indexed citations

Wang, Jike, Yu Kang, Peichen Pan, et al.. (2025). Discovery of antimicrobial peptides with notable antibacterial potency by an LLM-based foundation model. Science Advances. 11(10). eads8932–eads8932. 33 indexed citations breakdown →

Wang, Jike, Lei Jiang, Hui Zhang, et al.. (2025). Robust protein–ligand interaction modeling through integrating physical laws and geometric knowledge for absolute binding free energy calculation. Chemical Science. 16(12). 5043–5057. 3 indexed citations

Ye, Qing, Yilin Wang, Yiheng Zhu, et al.. (2025). Biology-driven insights into the power of single-cell foundation models. Genome biology. 26(1). 334–334. 1 indexed citations

Wang, Fan, Jike Wang, Meng Zhang, et al.. (2025). AI‐Guided Design of Antimicrobial Peptide Hydrogels for Precise Treatment of Drug‐resistant Bacterial Infections. Advanced Materials. 37(20). e2500043–e2500043. 27 indexed citations breakdown →

Liu, Yifei, Yiheng Zhu, Jike Wang, et al.. (2025). A Multi‐Objective Molecular Generation Method Based on Pareto Algorithm and Monte Carlo Tree Search. Advanced Science. 12(20). e2410640–e2410640. 4 indexed citations

10.

Chen, Yu, Xinda Zhao, Chao Shen, et al.. (2024). Unlocking comprehensive molecular design across all scenarios with large language model and unordered chemical language. Chemical Science. 15(34). 13727–13740. 5 indexed citations

11.

Li, Shuai, Jike Wang, Odin Zhang, et al.. (2024). ClickGen: Directed exploration of synthesizable chemical space via modular reactions and reinforcement learning. Nature Communications. 15(1). 10127–10127. 10 indexed citations

12.

Wang, Jike, Hao Luo, Mingyang Wang, et al.. (2024). 3DSMILES-GPT: 3D molecular pocket-based generation with token-only large language model. Chemical Science. 16(2). 637–648. 16 indexed citations

13.

Wang, Xiaorui, Xiaodan Yin, Dejun Jiang, et al.. (2024). Multi-modal deep learning enables efficient and accurate annotation of enzymatic active sites. Nature Communications. 15(1). 7348–7348. 20 indexed citations

14.

Wu, Zhenhua, Jike Wang, Hongyan Du, et al.. (2023). Chemistry-intuitive explanation of graph neural networks for molecular property prediction with substructure masking. Nature Communications. 14(1). 89 indexed citations

15.

Xia, Ning, Guanfei Gong, Hongqiang Dong, et al.. (2023). Chiral supramolecular 2D halogen-bonded organic frameworks constructed by post-synthetic modified cross-linking strategy. Science China Chemistry. 66(11). 3169–3177. 18 indexed citations

16.

Li, Shengming, Jintu Zhang, Zhe Wang, et al.. (2023). SDEGen: learning to evolve molecular conformations from thermodynamic noise for conformation generation. Chemical Science. 14(6). 1557–1568. 19 indexed citations

17.

Zhang, Xujun, Chao Shen, Odin Zhang, et al.. (2023). Comprehensive assessment of protein loop modeling programs on large-scale datasets: prediction accuracy and efficiency. Briefings in Bioinformatics. 25(1). 9 indexed citations

18.

Jiang, Dejun, Chang‐Yu Hsieh, Ziyi Yang, et al.. (2023). MetalProGNet: a structure-based deep graph model for metalloprotein–ligand interaction predictions. Chemical Science. 14(8). 2054–2069. 17 indexed citations

19.

Wang, Mingyang, Jike Wang, Gaoqi Weng, et al.. (2022). ReMODE: a deep learning-based web server for target-specific drug design. Journal of Cheminformatics. 14(1). 84–84. 4 indexed citations

20.

Wang, Mingyang, Zhe Wang, Huiyong Sun, et al.. (2021). Deep learning approaches for de novo drug design: An overview. Current Opinion in Structural Biology. 72. 135–144. 86 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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