Zhaoping Xiong

2.6k total citations · 2 hit papers
22 papers, 1.6k citations indexed

About

Zhaoping Xiong is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Zhaoping Xiong has authored 22 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 15 papers in Computational Theory and Mathematics and 12 papers in Materials Chemistry. Recurrent topics in Zhaoping Xiong's work include Computational Drug Discovery Methods (15 papers), Machine Learning in Materials Science (12 papers) and Protein Structure and Dynamics (5 papers). Zhaoping Xiong is often cited by papers focused on Computational Drug Discovery Methods (15 papers), Machine Learning in Materials Science (12 papers) and Protein Structure and Dynamics (5 papers). Zhaoping Xiong collaborates with scholars based in China, Germany and United States. Zhaoping Xiong's co-authors include Mingyue Zheng, Hualiang Jiang, Kaixian Chen, Xiaomin Luo, Xutong Li, Xiaohong Liu, Feisheng Zhong, Zhaojun Li, Dingyan Wang and Xiaozhe Wan and has published in prestigious journals such as Bioinformatics, Journal of Medicinal Chemistry and Chemical Science.

In The Last Decade

Zhaoping Xiong

22 papers receiving 1.6k citations

Hit Papers

align trajectories sort by overperformance

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.

Pushing the Boundaries of Molecular Representation for Drug Discovery with the Graph Attention Mechanism

2019 645 citations Zhaoping Xiong, Dingyan Wang et al. Journal of Medicinal Chemistry profile →
Fine-tuning large language models for chemical text mining

2024 51 citations Wei Zhang, Jiacheng Xiong et al. Chemical Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhaoping Xiong China	13	1.1k	828	647	169	164	22	1.6k
Dejun Jiang China	20	1.1k 1.0×	914 1.1×	634 1.0×	98 0.6×	140 0.9×	54	1.7k
Xutong Li China	20	1.2k 1.1×	1.1k 1.3×	715 1.1×	116 0.7×	160 1.0×	67	2.0k
Feisheng Zhong China	13	1.1k 1.1×	952 1.1×	671 1.0×	93 0.6×	123 0.8×	18	1.7k
Nikolaus Stiefl Switzerland	20	779 0.7×	742 0.9×	393 0.6×	198 1.2×	104 0.6×	43	1.5k
Youjun Xu China	13	873 0.8×	849 1.0×	446 0.7×	77 0.5×	98 0.6×	20	1.6k
Jörg K. Wegner Belgium	26	1.5k 1.4×	1.4k 1.7×	668 1.0×	129 0.8×	197 1.2×	49	2.3k
G. Richard Bickerton United Kingdom	11	1.0k 1.0×	1.1k 1.3×	411 0.6×	306 1.8×	68 0.4×	12	1.8k
Karl Leswing United States	11	1.5k 1.4×	1.1k 1.4×	1.3k 2.0×	132 0.8×	304 1.9×	14	2.3k
Lars Ruddigkeit Switzerland	8	942 0.9×	751 0.9×	703 1.1×	233 1.4×	66 0.4×	8	1.6k
Thomas R. Lane United States	22	572 0.5×	549 0.7×	227 0.4×	91 0.5×	121 0.7×	68	1.5k

Countries citing papers authored by Zhaoping Xiong

Since Specialization

Citations

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

Fields of papers citing papers by Zhaoping Xiong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhaoping Xiong

This figure shows the co-authorship network connecting the top 25 collaborators of Zhaoping Xiong. A scholar is included among the top collaborators of Zhaoping Xiong 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 Zhaoping Xiong. Zhaoping Xiong 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

Zhang, Wei, Xutong Li, Zhaoping Xiong, et al.. (2025). NMRExtractor: leveraging large language models to construct an experimental NMR database from open-source scientific publications. Chemical Science. 16(25). 11548–11558. 4 indexed citations

Xiong, Jiacheng, Mingyan Xu, Zunyun Fu, et al.. (2025). Bridging chemistry and artificial intelligence by a reaction description language. Nature Machine Intelligence. 7(5). 782–793. 1 indexed citations

Xiong, Zhaoping, Huan Chen, Jiacheng Xiong, et al.. (2024). FAPM: functional annotation of proteins using multimodal models beyond structural modeling. Bioinformatics. 40(12). 2 indexed citations

Xu, Qian, Zhaoping Xiong, Xiaohong Liu, et al.. (2024). Enhancing the Predictive Power of Machine Learning Models through a Chemical Space Complementary DEL Screening Strategy. Journal of Medicinal Chemistry. 67(21). 18969–18980. 6 indexed citations

Li, Yunting, Zhaoping Xiong, Bowen Liu, et al.. (2024). Efficient molecular conformation generation with quantum-inspired algorithm. Journal of Molecular Modeling. 30(7). 228–228. 1 indexed citations

Xiong, Zhaoping, et al.. (2024). SciMind: A Multimodal Mixture-of-Experts Model for Advancing Pharmaceutical Sciences. 66–73. 1 indexed citations

Zhang, Wei, Jiacheng Xiong, Yameng Li, et al.. (2024). Fine-tuning large language models for chemical text mining. Chemical Science. 15(27). 10600–10611. 51 indexed citations breakdown →

Han, Xu, Tian‐Yu Sun, Yi Yang, et al.. (2023). Enhanced Sampling Simulations on Transition-Metal-Catalyzed Organic Reactions: Zirconocene-Catalyzed Propylene Polymerization and Sharpless Epoxidation. CCS Chemistry. 6(4). 964–975. 2 indexed citations

Liu, Xiaohong, Wei Zhang, Xiaochu Tong, et al.. (2023). MolFilterGAN: a progressively augmented generative adversarial network for triaging AI-designed molecules. Journal of Cheminformatics. 15(1). 42–42. 14 indexed citations

10.

Su, Lebin, Zhaoping Xiong, Xinwei Zhu, et al.. (2023). HTE and machine learning-assisted development of iridium(i)-catalyzed selective O–H bond insertion reactions toward carboxymethyl ketones. Organic Chemistry Frontiers. 10(5). 1153–1159. 17 indexed citations

11.

Xiong, Jiacheng, Zhaoping Xiong, Kaixian Chen, Hualiang Jiang, & Mingyue Zheng. (2021). Graph neural networks for automated de novo drug design. Drug Discovery Today. 26(6). 1382–1393. 125 indexed citations

12.

Xiong, Zhaoping, Ziqiang Cheng, Chi Xu, et al.. (2021). Facing small and biased data dilemma in drug discovery with enhanced federated learning approaches. Science China Life Sciences. 65(3). 529–539. 28 indexed citations

13.

Tong, Xiaochu, Xiaohong Liu, Xiaoqin Tan, et al.. (2021). Generative Models for De Novo Drug Design. Journal of Medicinal Chemistry. 64(19). 14011–14027. 135 indexed citations

14.

Tan, Xiaoqin, Xiangrui Jiang, He Yang, et al.. (2020). Automated design and optimization of multitarget schizophrenia drug candidates by deep learning. European Journal of Medicinal Chemistry. 204. 112572–112572. 31 indexed citations

15.

Wang, Dingyan, Chen Cui, Xiaoyu Ding, et al.. (2019). Improving the Virtual Screening Ability of Target-Specific Scoring Functions Using Deep Learning Methods. Frontiers in Pharmacology. 10. 924–924. 35 indexed citations

16.

Li, Xutong, Zhaojun Li, Xiaolong Wu, et al.. (2019). Deep Learning Enhancing Kinome-Wide Polypharmacology Profiling: Model Construction and Experiment Validation. Journal of Medicinal Chemistry. 63(16). 8723–8737. 62 indexed citations

17.

Li, Zhaojun, Xutong Li, Xiaohong Liu, et al.. (2019). KinomeX: a web application for predicting kinome-wide polypharmacology effect of small molecules. Bioinformatics. 35(24). 5354–5356. 36 indexed citations

18.

Xiong, Zhaoping, Dingyan Wang, Xiaohong Liu, et al.. (2019). Pushing the Boundaries of Molecular Representation for Drug Discovery with the Graph Attention Mechanism. Journal of Medicinal Chemistry. 63(16). 8749–8760. 645 indexed citations breakdown →

19.

Zhong, Feisheng, Jing Xing, Xutong Li, et al.. (2018). Artificial intelligence in drug design. Science China Life Sciences. 61(10). 1191–1204. 158 indexed citations

20.

Wang, Yulan, Jing Xing, Yuan Xu, et al.. (2015). In silico ADME/T modelling for rational drug design. Quarterly Reviews of Biophysics. 48(4). 488–515. 266 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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