Li Fu

3.1k total citations · 1 hit paper
23 papers, 2.1k citations indexed

About

Li Fu is a scholar working on Computational Theory and Mathematics, Materials Chemistry and Artificial Intelligence. According to data from OpenAlex, Li Fu has authored 23 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computational Theory and Mathematics, 4 papers in Materials Chemistry and 3 papers in Artificial Intelligence. Recurrent topics in Li Fu's work include Computational Drug Discovery Methods (11 papers), Machine Learning in Materials Science (4 papers) and Analytical Chemistry and Chromatography (2 papers). Li Fu is often cited by papers focused on Computational Drug Discovery Methods (11 papers), Machine Learning in Materials Science (4 papers) and Analytical Chemistry and Chromatography (2 papers). Li Fu collaborates with scholars based in China, Hong Kong and United States. Li Fu's co-authors include Dongsheng Cao, Tingjun Hou, Aiping Lü, Zhijiang Yang, Chang‐Yu Hsieh, Xiangxiang Zeng, Chengkun Wu, Mingzhu Yin, Jiacai Yi and Guo‐Li Xiong and has published in prestigious journals such as Nucleic Acids Research, Journal of Hazardous Materials and Scientific Reports.

In The Last Decade

Li Fu

21 papers receiving 2.0k 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.

ADMETlab 2.0: an integrated online platform for accurate and comprehensive predictions of ADMET properties

2021 1.7k citations Guo‐Li Xiong, Zhenhua Wu et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Li Fu China	13	827	772	501	209	203	23	2.1k
Guo‐Li Xiong China	9	926 1.1×	796 1.0×	474 0.9×	219 1.0×	205 1.0×	15	2.0k
Zhijiang Yang China	11	975 1.2×	950 1.2×	496 1.0×	238 1.1×	204 1.0×	24	2.2k
Jiacai Yi China	10	1.1k 1.3×	945 1.2×	552 1.1×	246 1.2×	229 1.1×	15	2.4k
Ningning Wang China	15	988 1.2×	1.0k 1.3×	369 0.7×	263 1.3×	236 1.2×	35	2.2k
Zhiyan Xiao China	22	1.1k 1.3×	482 0.6×	620 1.2×	106 0.5×	207 1.0×	62	2.0k
Miquel Mulero Spain	30	1.2k 1.5×	801 1.0×	224 0.4×	110 0.5×	267 1.3×	79	2.7k
Mubashir Hassan Pakistan	29	842 1.0×	468 0.6×	1.1k 2.2×	126 0.6×	331 1.6×	159	2.8k
Srilatha Sakamuru United States	28	964 1.2×	685 0.9×	152 0.3×	239 1.1×	204 1.0×	69	2.5k
Shiwei Wang China	14	1.0k 1.2×	659 0.9×	154 0.3×	255 1.2×	236 1.2×	32	2.0k
Shiliang Li China	27	1.3k 1.6×	415 0.5×	240 0.5×	286 1.4×	245 1.2×	126	2.8k

Countries citing papers authored by Li Fu

Since Specialization

Citations

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

Fields of papers citing papers by Li Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Fu

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

Fu, Li, Haifeng Wang, Danni Li, et al.. (2025). Tea polyphenols attenuate glufosinate-induced breast injury by reducing endoplasmic reticulum stress and autophagy. Journal of Hazardous Materials. 495. 138823–138823. 1 indexed citations

Fu, Li, et al.. (2024). Injected phase change seismic source construction and monitoring experiment. Geophysics. 89(6). L49–L60.

Fu, Li, et al.. (2024). A Time-Frequency Depth Convolutional Recurrent Network for Seismic Waveform Automatic Classification. IEEE Access. 12. 155205–155217.

Yi, Jiacai, Shaohua Shi, Li Fu, et al.. (2024). OptADMET: a web-based tool for substructure modifications to improve ADMET properties of lead compounds. Nature Protocols. 19(4). 1105–1121. 23 indexed citations

Zhang, Odin, Xiaorui Wang, Li Fu, et al.. (2024). Leveraging language model for advanced multiproperty molecular optimization via prompt engineering. Nature Machine Intelligence. 6(11). 1359–1369. 15 indexed citations

Shi, Shaohua, et al.. (2024). Predicting Elimination of Small-Molecule Drug Half-Life in Pharmacokinetics Using Ensemble and Consensus Machine Learning Methods. Journal of Chemical Information and Modeling. 64(8). 3080–3092. 9 indexed citations

Ding, Xiaolin, et al.. (2024). An Intelligent Construction Method for Vibration Signal Dataset Based on Optimized YOLOv5 Algorithm. IEEE Sensors Journal. 24(9). 14694–14701. 2 indexed citations

Zhang, Xian, et al.. (2023). Deep structure of the Rongcheng geothermal field, Xiongan New Area: Constraints from resistivity data and boreholes. Geothermics. 114. 102776–102776. 8 indexed citations

Fu, Li, Xiaochen Zhang, Zhaoqian Liu, et al.. (2023). Improved GNNs for Log D_7.4 Prediction by Transferring Knowledge from Low-Fidelity Data. Journal of Chemical Information and Modeling. 63(8). 2345–2359. 21 indexed citations

10.

Yang, Ziyi, Shaohua Shi, Li Fu, et al.. (2023). Matched Molecular Pair Analysis in Drug Discovery: Methods and Recent Applications. Journal of Medicinal Chemistry. 66(7). 4361–4377. 18 indexed citations

11.

Shu, Zhihao, Shaoli Zhao, Hong Xiang, et al.. (2022). Identifying myoglobin as a mediator of diabetic kidney disease: a machine learning-based cross-sectional study. Scientific Reports. 12(1). 21411–21411. 11 indexed citations

12.

Xiong, Guo‐Li, Zhenhua Wu, Jiacai Yi, et al.. (2021). ADMETlab 2.0: an integrated online platform for accurate and comprehensive predictions of ADMET properties. Nucleic Acids Research. 49(W1). W5–W14. 1709 indexed citations breakdown →

13.

Yang, Ziyi, Li Fu, Aiping Lü, et al.. (2021). Semi-automated workflow for molecular pair analysis and QSAR-assisted transformation space expansion. Journal of Cheminformatics. 13(1). 86–86. 5 indexed citations

14.

Wang, Liangliang, Junjie Ding, Peichang Shi, et al.. (2021). Ensemble machine learning to evaluate the in vivo acute oral toxicity and in vitro human acetylcholinesterase inhibitory activity of organophosphates. Archives of Toxicology. 95(7). 2443–2457. 16 indexed citations

15.

Li, Yang, Boxun Fu, Li Fu, Guangming Shi, & Wenming Zheng. (2021). A novel transferability attention neural network model for EEG emotion recognition. Neurocomputing. 447. 92–101. 90 indexed citations

16.

Ding, Junjie, Pan Li, Li Fu, et al.. (2020). Quantitative structure-toxicity relationship model for acute toxicity of organophosphates via multiple administration routes in rats and mice. Journal of Hazardous Materials. 401. 123724–123724. 25 indexed citations

17.

Fu, Li, Ziyi Yang, Zhijiang Yang, et al.. (2020). QSAR-assisted-MMPA to expand chemical transformation space for lead optimization. Briefings in Bioinformatics. 22(5). 13 indexed citations

18.

Liu, Lu, Li Fu, Jinwei Zhang, et al.. (2018). Three-Level Hepatotoxicity Prediction System Based on Adverse Hepatic Effects. Molecular Pharmaceutics. 16(1). 393–408. 21 indexed citations

19.

Li, Baohua, Huchuan Lu, Li Fu, & Wei Wu. (2016). Subspace Clustering With $K$ -Support Norm. IEEE Transactions on Circuits and Systems for Video Technology. 28(2). 302–313. 3 indexed citations

20.

Fu, Li. (2002). Information Technology Outreach in the UIC Library. Technical Services Quarterly. 20(2). 33–39. 1 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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