Pu-Feng Du

2.4k total citations
60 papers, 2.0k citations indexed

About

Pu-Feng Du is a scholar working on Molecular Biology, Cancer Research and Computational Theory and Mathematics. According to data from OpenAlex, Pu-Feng Du has authored 60 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 10 papers in Cancer Research and 6 papers in Computational Theory and Mathematics. Recurrent topics in Pu-Feng Du's work include Machine Learning in Bioinformatics (34 papers), RNA and protein synthesis mechanisms (30 papers) and Genomics and Phylogenetic Studies (23 papers). Pu-Feng Du is often cited by papers focused on Machine Learning in Bioinformatics (34 papers), RNA and protein synthesis mechanisms (30 papers) and Genomics and Phylogenetic Studies (23 papers). Pu-Feng Du collaborates with scholars based in China, Hong Kong and Japan. Pu-Feng Du's co-authors include Yanda Li, Chao Xu, Yang Gao, Xin Wang, Wei Chen, Han Yu, Leyi Wei, Chen Zhou, Ran Su and Xiaoli Qiang and has published in prestigious journals such as Bioinformatics, PLoS ONE and Analytical Biochemistry.

In The Last Decade

Pu-Feng Du

59 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pu-Feng Du China 23 1.7k 207 159 126 78 60 2.0k
Hao Lv China 30 2.0k 1.2× 198 1.0× 275 1.7× 117 0.9× 128 1.6× 65 2.3k
Wang‐Ren Qiu China 22 2.7k 1.6× 309 1.5× 170 1.1× 80 0.6× 76 1.0× 68 2.9k
Zi Liu China 14 1.6k 0.9× 139 0.7× 127 0.8× 54 0.4× 48 0.6× 28 1.7k
Cangzhi Jia China 24 1.6k 0.9× 98 0.5× 197 1.2× 143 1.1× 63 0.8× 72 1.9k
Michael Yu United States 15 1.0k 0.6× 121 0.6× 137 0.9× 90 0.7× 54 0.7× 23 1.4k
Kaiyan Feng China 30 2.2k 1.3× 586 2.8× 201 1.3× 189 1.5× 38 0.5× 120 2.8k
Le‐Le Hu China 20 1.4k 0.8× 416 2.0× 62 0.4× 59 0.5× 142 1.8× 46 1.7k
Jianbo Fu China 17 806 0.5× 223 1.1× 185 1.2× 90 0.7× 18 0.2× 28 1.2k
Len Trigg New Zealand 5 735 0.4× 100 0.5× 178 1.1× 105 0.8× 17 0.2× 8 1.1k
Xiang Cheng China 19 1.9k 1.1× 285 1.4× 64 0.4× 158 1.3× 55 0.7× 33 2.3k

Countries citing papers authored by Pu-Feng Du

Since Specialization
Citations

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

Fields of papers citing papers by Pu-Feng Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pu-Feng Du. 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 Pu-Feng Du. The network helps show where Pu-Feng Du may publish in the future.

Co-authorship network of co-authors of Pu-Feng Du

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

All Works

20 of 20 papers shown
1.
Du, Pu-Feng, et al.. (2025). scMUG: deep clustering analysis of single-cell RNA-seq data on multiple gene functional modules. Briefings in Bioinformatics. 26(2).
2.
Wang, Yiran & Pu-Feng Du. (2025). WCSGNet: a graph neural network approach using weighted cell-specific networks for cell-type annotation in scRNA-seq. Frontiers in Genetics. 16. 1553352–1553352. 1 indexed citations
3.
Ma, Xu-Kai, Tao Huang, Dake Zhang, et al.. (2024). Bioinformatics software development: Principles and future directions. 2(3). 100083–100083. 7 indexed citations
4.
5.
Du, Pu-Feng & Yingying Zhang. (2023). Essential Non-coding Genes: A New Playground of Bioinformatics. Current Bioinformatics. 18(2). 105–108. 2 indexed citations
6.
Hui, Min, et al.. (2022). XGEM: Predicting Essential miRNAs by the Ensembles of Various Sequence-Based Classifiers With XGBoost Algorithm. Frontiers in Genetics. 13. 877409–877409. 5 indexed citations
7.
Gong, Xiujun, et al.. (2021). DeepSE: Detecting super-enhancers among typical enhancers using only sequence feature embeddings. Genomics. 113(6). 4052–4060. 13 indexed citations
8.
9.
Li, Guangping, et al.. (2019). Predicting protein sub-Golgi locations by combining functional domain enrichment scores with pseudo-amino acid compositions. Journal of Theoretical Biology. 473. 38–43. 14 indexed citations
10.
Qiang, Xiaoli, Chen Zhou, Xiucai Ye, et al.. (2018). CPPred-FL: a sequence-based predictor for large-scale identification of cell-penetrating peptides by feature representation learning. Briefings in Bioinformatics. 21(1). 11–23. 122 indexed citations
11.
Chen, Qingyun, Jijun Tang, & Pu-Feng Du. (2017). Predicting protein lysine phosphoglycerylation sites by hybridizing many sequence based features. Molecular BioSystems. 13(5). 874–882. 16 indexed citations
12.
Du, Pu-Feng, et al.. (2017). UltraPse: A Universal and Extensible Software Platform for Representing Biological Sequences. International Journal of Molecular Sciences. 18(11). 2400–2400. 14 indexed citations
13.
Du, Pu-Feng & Chao Xu. (2013). Predicting multisite protein subcellular locations: progress and challenges. Expert Review of Proteomics. 10(3). 227–237. 32 indexed citations
14.
Du, Pu-Feng, Xin Wang, Chao Xu, & Yang Gao. (2012). PseAAC-Builder: A cross-platform stand-alone program for generating various special Chou’s pseudo-amino acid compositions. Analytical Biochemistry. 425(2). 117–119. 276 indexed citations
15.
Du, Pu-Feng, Tingting Li, & Xin Wang. (2011). Recent progress in predicting protein sub-subcellular locations. Expert Review of Proteomics. 8(3). 391–404. 41 indexed citations
16.
Li, Tingting, Pu-Feng Du, & Nanfang Xu. (2010). Identifying Human Kinase-Specific Protein Phosphorylation Sites by Integrating Heterogeneous Information from Various Sources. PLoS ONE. 5(11). e15411–e15411. 42 indexed citations
17.
Du, Pu-Feng, Liyan Jia, & Yanda Li. (2009). CURE-Chloroplast: A chloroplast C-to-U RNA editing predictor for seed plants. BMC Bioinformatics. 10(1). 135–135. 28 indexed citations
18.
Du, Pu-Feng & Yanda Li. (2008). Prediction of C-to-U RNA editing sites in plant mitochondria using both biochemical and evolutionary information. Journal of Theoretical Biology. 253(3). 579–586. 29 indexed citations
19.
Du, Pu-Feng, Tao He, & Yanda Li. (2007). Prediction of C-to-U RNA editing sites in higher plant mitochondria using only nucleotide sequence features. Biochemical and Biophysical Research Communications. 358(1). 336–341. 13 indexed citations
20.

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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