Lifan Chen

1.2k total citations · 1 hit paper
20 papers, 663 citations indexed

About

Lifan Chen is a scholar working on Molecular Biology, Computational Theory and Mathematics and Atmospheric Science. According to data from OpenAlex, Lifan Chen has authored 20 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Computational Theory and Mathematics and 2 papers in Atmospheric Science. Recurrent topics in Lifan Chen's work include Computational Drug Discovery Methods (6 papers), Bioinformatics and Genomic Networks (5 papers) and Protein Structure and Dynamics (2 papers). Lifan Chen is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Bioinformatics and Genomic Networks (5 papers) and Protein Structure and Dynamics (2 papers). Lifan Chen collaborates with scholars based in China, Taiwan and United States. Lifan Chen's co-authors include Mingyue Zheng, Hualiang Jiang, Dingyan Wang, Feisheng Zhong, Xiaomin Luo, Kaixian Chen, Tianbiao Yang, Xiaoqin Tan, Xiaohong Liu and Sulin Zhang and has published in prestigious journals such as Bioinformatics, Analytical Chemistry and Journal of Medicinal Chemistry.

In The Last Decade

Lifan Chen

19 papers receiving 648 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.

TransformerCPI: improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments

2020 325 citations Lifan Chen, Xiaoqin Tan et al. Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lifan Chen China	10	465	429	183	45	38	20	663
Harris Ioannidis United Kingdom	7	366 0.8×	288 0.7×	102 0.6×	38 0.8×	44 1.2×	8	592
Paul Coote United States	9	399 0.9×	260 0.6×	104 0.6×	33 0.7×	44 1.2×	14	571
Christof Gerlach Germany	9	421 0.9×	384 0.9×	257 1.4×	51 1.1×	91 2.4×	15	704
Vladimir Aladinskiy Russia	9	360 0.8×	431 1.0×	301 1.6×	33 0.7×	94 2.5×	17	764
Patrick D. Fischer United States	7	385 0.8×	259 0.6×	102 0.6×	42 0.9×	52 1.4×	11	532
Christian Margreitter Sweden	13	558 1.2×	363 0.8×	293 1.6×	27 0.6×	30 0.8×	21	826
Sybilla Corbett United Kingdom	3	271 0.6×	261 0.6×	82 0.4×	36 0.8×	41 1.1×	5	486
Hans‐Christian Ehrlich Germany	9	383 0.8×	186 0.4×	82 0.4×	41 0.9×	49 1.3×	11	603
Tevfik Kizilören United Kingdom	3	264 0.6×	267 0.6×	81 0.4×	37 0.8×	40 1.1×	5	490
Christoph Grebner Germany	12	221 0.5×	226 0.5×	117 0.6×	33 0.7×	23 0.6×	24	490

Countries citing papers authored by Lifan Chen

Since Specialization

Citations

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

Fields of papers citing papers by Lifan Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lifan Chen

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

Lim, Soon Chong Johnson, Willy Chou, & Lifan Chen. (2025). SankeyNetwork: A clear and concise visualization tool for bibliometric data. MethodsX. 14. 103379–103379. 2 indexed citations

Yu, Xiaofei, Lifan Chen, Yongbo Wang, et al.. (2025). Data‐Augmented Deep Learning Algorithm for Accurate Control of Bioethanol Fermentation Using an Online Raman Analyzer. Biotechnology and Bioengineering. 122(9). 2366–2376. 2 indexed citations

Yang, Zhongxuan, et al.. (2024). Deep learning‐accelerated multiscale approach for granular material modeling. International Journal for Numerical and Analytical Methods in Geomechanics. 48(5). 1372–1389. 6 indexed citations

Chen, Geng, Jiaxin Jiang, Jie Yu, et al.. (2024). Generic protein–ligand interaction scoring by integrating physical prior knowledge and data augmentation modelling. Nature Machine Intelligence. 6(6). 688–700. 19 indexed citations

Chen, Lin, Zehong Zhang, Zhenghao Li, et al.. (2023). Learning protein fitness landscapes with deep mutational scanning data from multiple sources. Cell Systems. 14(8). 706–721.e5. 24 indexed citations

Zhang, Sulin, Lifan Chen, Yan Wang, et al.. (2023). Goliath induces inflammation in obese mice by linking fatty acid β‐oxidation to glycolysis. EMBO Reports. 24(4). e56932–e56932. 7 indexed citations

Jin, Yan, Lifan Chen, Wenjing Zhao, et al.. (2023). Multipartite entanglement generation with high-order non-Hermitian exceptional points from dressing-controlled atomic nonlinearity. Optics Express. 31(25). 41160–41160. 2 indexed citations

Jin, Ling, Kai Yang, Lifan Chen, et al.. (2023). Flexible Synergistic MoS₂ Quantum Dots/PEDOT: PSS Film Sensor for Acetaldehyde Sensing at Room Temperature. Analytical Chemistry. 95(23). 8859–8868. 21 indexed citations

Zhang, Zehong, Lifan Chen, Feisheng Zhong, et al.. (2022). Graph neural network approaches for drug-target interactions. Current Opinion in Structural Biology. 73. 102327–102327. 107 indexed citations

10.

Song, Jia, Ruirui Yang, Jie Chang, et al.. (2022). Discovery and characterization of a novel cGAS covalent inhibitor for the treatment of inflammatory bowel disease. Acta Pharmacologica Sinica. 44(4). 791–800. 20 indexed citations

11.

Chang, Jie, Ruirui Yang, Lifan Chen, et al.. (2022). Discovery of ARF1-targeting inhibitor demethylzeylasteral as a potential agent against breast cancer. Acta Pharmaceutica Sinica B. 12(5). 2619–2622. 12 indexed citations

12.

Wang, Dingyan, Jie Yu, Lifan Chen, et al.. (2021). A hybrid framework for improving uncertainty quantification in deep learning-based QSAR regression modeling. Journal of Cheminformatics. 13(1). 69–69. 20 indexed citations

13.

Cui, Chen, Xiaoyu Ding, Dingyan Wang, et al.. (2021). Drug repurposing against breast cancer by integrating drug-exposure expression profiles and drug–drug links based on graph neural network. Bioinformatics. 37(18). 2930–2937. 36 indexed citations

14.

Tan, Xiaoqin, Chunpu Li, Ruirui Yang, et al.. (2021). Discovery of Pyrazolo[3,4- d ]pyridazinone Derivatives as Selective DDR1 Inhibitors via Deep Learning Based Design, Synthesis, and Biological Evaluation. Journal of Medicinal Chemistry. 65(1). 103–119. 51 indexed citations

15.

Chen, Lifan, Lijuan Cao, Zijiang Zhou, Dongbin Zhang, & Jie Liao. (2021). A New Globally Reconstructed Sea Surface Temperature Analysis Dataset since 1900. Journal of Meteorological Research. 35(6). 911–925. 3 indexed citations

16.

Chen, Lifan, Xiaoqin Tan, Dingyan Wang, et al.. (2020). TransformerCPI: improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments. Bioinformatics. 36(16). 4406–4414. 325 indexed citations breakdown →

17.

Li, Xutong, Xiaolong Wu, Xiaozhe Wan, et al.. (2020). The application of artificial intelligence to drug sensitivity prediction. Chinese Science Bulletin (Chinese Version). 65(32). 3551–3561. 1 indexed citations

18.

Chen, Lifan. (2015). Research and application of dynamic rule extraction algorithm based on rough set and decision tree. Journal of Computer Applications. 1 indexed citations

19.

Chen, Lifan. (2014). Preparation and characterization of PVDF-g-PVP and PVDF/PVP microfiltration membranes. Membrane science and technology/Membrane science and technology series. 1 indexed citations

20.

Chen, Lifan & Ying Zhang. (2011). Analysis of the evolution on tidal flat and their reasons in Dongsha based on remote sensing. 26. 557–561. 3 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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