Li Fu

833 total citations · 1 hit paper
6 papers, 368 citations indexed

About

Li Fu is a scholar working on Molecular Biology, Materials Chemistry and Social Psychology. According to data from OpenAlex, Li Fu has authored 6 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Materials Chemistry and 1 paper in Social Psychology. Recurrent topics in Li Fu's work include Machine Learning in Materials Science (2 papers), Pregnancy and preeclampsia studies (1 paper) and CRISPR and Genetic Engineering (1 paper). Li Fu is often cited by papers focused on Machine Learning in Materials Science (2 papers), Pregnancy and preeclampsia studies (1 paper) and CRISPR and Genetic Engineering (1 paper). Li Fu collaborates with scholars based in China and Hong Kong. Li Fu's co-authors include Xiangxiang Zeng, Youchao Deng, Zhenhua Wu, Chengkun Wu, Jinfu Peng, Wentao Zhao, Tingjun Hou, Dongsheng Cao, Jiacai Yi and Wenxuan Wang and has published in prestigious journals such as Nucleic Acids Research, Journal of Agricultural and Food Chemistry and Journal of Chemical Information and Modeling.

In The Last Decade

Li Fu

4 papers receiving 360 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 3.0: an updated comprehensive online ADMET prediction platform enhanced with broader coverage, improved performance, API functionality and decision support

2024 349 citations Li Fu, Shaohua Shi 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	3	138	114	79	38	33	6	368
Konrad Diedrich Germany	5	219 1.6×	91 0.8×	59 0.7×	28 0.7×	20 0.6×	7	376
Bhanuranjan Das India	10	138 1.0×	124 1.1×	74 0.9×	36 0.9×	19 0.6×	20	327
T. Ngoc Han Pham Vietnam	5	191 1.4×	164 1.4×	88 1.1×	48 1.3×	48 1.5×	8	404
Sagar S. Bhayye India	9	129 0.9×	66 0.6×	76 1.0×	34 0.9×	17 0.5×	17	283
Alban Arrault France	9	171 1.2×	131 1.1×	99 1.3×	51 1.3×	19 0.6×	12	344
Mohd Haneef India	8	151 1.1×	113 1.0×	94 1.2×	50 1.3×	28 0.8×	10	374
Piotr Kawczak Poland	13	160 1.2×	210 1.8×	112 1.4×	40 1.1×	17 0.5×	45	471
Mukhtar Oluwaseun Idris China	8	227 1.6×	198 1.7×	123 1.6×	38 1.0×	31 0.9×	13	458
Sarah Tomas‐Hernández Spain	7	234 1.7×	143 1.3×	56 0.7×	64 1.7×	20 0.6×	10	418
Xolani Henry Makhoba South Africa	7	149 1.1×	66 0.6×	62 0.8×	35 0.9×	13 0.4×	14	275

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:

6 of 6 papers shown

1.

Zheng, Shanshan, Lu Wang, Xiang Xia, et al.. (2025). CRISPR-Cas System-Mediated Genetic Modification in Bacillus spp.: Current Status and Future. Journal of Agricultural and Food Chemistry. 73(24). 14760–14775. 3 indexed citations

2.

Fu, Li, et al.. (2025). Large Language Models as Spectrographic Assistants: Opportunities and Challenges in Laboratory Data Analysis. 1(1). 9600002–9600002. 1 indexed citations

3.

Shi, Shaohua, Li Fu, Jiacai Yi, et al.. (2024). ChemFH: an integrated tool for screening frequent false positives in chemical biology and drug discovery. Nucleic Acids Research. 52(W1). W439–W449.

4.

Fu, Li, et al.. (2024). Advanced AI-Driven Prediction of Pregnancy-Related Adverse Drug Reactions. Journal of Chemical Information and Modeling. 64(24). 9286–9298.

5.

Fu, Li, Shaohua Shi, Jiacai Yi, et al.. (2024). ADMETlab 3.0: an updated comprehensive online ADMET prediction platform enhanced with broader coverage, improved performance, API functionality and decision support. Nucleic Acids Research. 52(W1). W422–W431. 349 indexed citations breakdown →

6.

Fu, Li, Xuesong Wang, & Yang Wang. (2012). The Research on Willingness to Communicate in Chinese Students’ EFL Study. Journal of Language Teaching and Research. 3(1). 15 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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