Fule Liu

1.6k total citations · 1 hit paper
11 papers, 1.5k citations indexed

About

Fule Liu is a scholar working on Molecular Biology, Radiation and Cancer Research. According to data from OpenAlex, Fule Liu has authored 11 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Radiation and 2 papers in Cancer Research. Recurrent topics in Fule Liu's work include Machine Learning in Bioinformatics (6 papers), RNA and protein synthesis mechanisms (5 papers) and Genomics and Phylogenetic Studies (4 papers). Fule Liu is often cited by papers focused on Machine Learning in Bioinformatics (6 papers), RNA and protein synthesis mechanisms (5 papers) and Genomics and Phylogenetic Studies (4 papers). Fule Liu collaborates with scholars based in China, Saudi Arabia and United States. Fule Liu's co-authors include Bin Liu, Longyun Fang, Xiaolong Wang, Kuo‐Chen Chou, Junjie Chen, Xiaolong Wang, Kuo‐Chen Chou, Bingquan Liu, Yingjie Wang and Mengyun Zou and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Fule Liu

10 papers receiving 1.4k 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.

Pse-in-One: a web server for generating various modes of pseudo components of DNA, RNA, and protein sequences

2015 651 citations Bin Liu, Fule Liu 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
Fule Liu China	8	1.4k	160	99	48	41	11	1.5k
En-Ze Deng China	11	1.6k 1.2×	83 0.5×	156 1.6×	76 1.6×	38 0.9×	14	1.7k
Yuming Zhao China	18	725 0.5×	130 0.8×	110 1.1×	22 0.5×	24 0.6×	48	852
Jerico Revote Australia	13	827 0.6×	71 0.4×	95 1.0×	57 1.2×	26 0.6×	20	963
Yuhua Yao China	20	791 0.6×	107 0.7×	43 0.4×	12 0.3×	60 1.5×	65	982
Zimei Zhang China	10	473 0.3×	113 0.7×	63 0.6×	19 0.4×	25 0.6×	26	621
Grigory Khimulya Russia	5	978 0.7×	52 0.3×	129 1.3×	31 0.6×	45 1.1×	5	1.1k
Mst. Shamima Khatun Japan	17	804 0.6×	44 0.3×	52 0.5×	128 2.7×	31 0.8×	26	912
Dongxu Xiang Australia	8	531 0.4×	60 0.4×	44 0.4×	97 2.0×	35 0.9×	8	646
Shengli Zhang China	19	878 0.6×	43 0.3×	105 1.1×	51 1.1×	51 1.2×	68	970

Countries citing papers authored by Fule Liu

Since Specialization

Citations

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

Fields of papers citing papers by Fule Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fule Liu

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

All Works

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11 of 11 papers shown

1.

Liu, Fule, et al.. (2024). The Role of Emodin in the Treatment of Bladder Cancer Based onNetwork Pharmacology and Experimental Verification. Combinatorial Chemistry & High Throughput Screening. 27(11). 1661–1675.

2.

Deng, Chao, Fule Liu, Qibiao Wang, et al.. (2022). Research on angle sensitivity of the boron-lined multilayer converter neutron detector. Measurement Science and Technology. 33(6). 65901–65901. 1 indexed citations

3.

Wang, Yingjie, et al.. (2021). DF-1 cells prevent MG-HS infection through gga-miR-24-3p/RAP1B mediated decreased proliferation and increased apoptosis. Research in Veterinary Science. 141. 164–173. 10 indexed citations

4.

Deng, Chao, Qibiao Wang, Shuming Peng, et al.. (2021). Preparation and characterization of boron films used for boron-lined gaseous neutron detectors. Journal of the Korean Physical Society. 79(7). 606–612. 3 indexed citations

5.

Liu, Bin, Longyun Fang, Junjie Chen, Fule Liu, & Xiaolong Wang. (2015). miRNA-dis: microRNA precursor identification based on distance structure status pairs. Molecular BioSystems. 11(4). 1194–1204. 62 indexed citations

6.

Liu, Bin, Longyun Fang, Fule Liu, et al.. (2015). Identification of Real MicroRNA Precursors with a Pseudo Structure Status Composition Approach. PLoS ONE. 10(3). e0121501–e0121501. 221 indexed citations

7.

Liu, Bin, Fule Liu, Longyun Fang, Xiaolong Wang, & Kuo‐Chen Chou. (2015). repRNA: a web server for generating various feature vectors of RNA sequences. Molecular Genetics and Genomics. 291(1). 473–481. 134 indexed citations

8.

Liu, Bin, Longyun Fang, Fule Liu, Xiaolong Wang, & Kuo‐Chen Chou. (2015). iMiRNA-PseDPC: microRNA precursor identification with a pseudo distance-pair composition approach. Journal of Biomolecular Structure and Dynamics. 34(1). 223–235. 134 indexed citations

9.

Liu, Bin, Fule Liu, Xiaolong Wang, et al.. (2015). Pse-in-One: a web server for generating various modes of pseudo components of DNA, RNA, and protein sequences. Nucleic Acids Research. 43(W1). W65–W71. 651 indexed citations breakdown →

10.

Liu, Bin, Bingquan Liu, Fule Liu, & Xiaolong Wang. (2014). Protein Binding Site Prediction by Combining Hidden Markov Support Vector Machine and Profile-Based Propensities. The Scientific World JOURNAL. 2014. 1–6. 11 indexed citations

11.

Liu, Bin, Fule Liu, Longyun Fang, Xiaolong Wang, & Kuo‐Chen Chou. (2014). repDNA: a Python package to generate various modes of feature vectors for DNA sequences by incorporating user-defined physicochemical properties and sequence-order effects. Bioinformatics. 31(8). 1307–1309. 239 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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