Duo Peng

942 total citations
44 papers, 636 citations indexed

About

Duo Peng is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Duo Peng has authored 44 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 16 papers in Genetics and 10 papers in Cancer Research. Recurrent topics in Duo Peng's work include Molecular Biology Techniques and Applications (19 papers), Forensic and Genetic Research (15 papers) and MicroRNA in disease regulation (9 papers). Duo Peng is often cited by papers focused on Molecular Biology Techniques and Applications (19 papers), Forensic and Genetic Research (15 papers) and MicroRNA in disease regulation (9 papers). Duo Peng collaborates with scholars based in China, Australia and Singapore. Duo Peng's co-authors include Yinjie Lei, Pingping Zhang, Weibo Liang, Yulan Guo, Zhilong Li, Qiuhong Ke, Huan Tian, Jun Liu, Wen Li and Haifeng Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Current Medicinal Chemistry.

In The Last Decade

Duo Peng

40 papers receiving 631 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Duo Peng China 14 218 209 166 151 108 44 636
Huayu Li China 16 171 0.8× 98 0.5× 45 0.3× 82 0.5× 59 0.5× 54 771
Wenxian Yang China 13 130 0.6× 205 1.0× 78 0.5× 11 0.1× 43 0.4× 54 609
Xiaocheng Yang China 11 107 0.5× 87 0.4× 35 0.2× 13 0.1× 50 0.5× 52 368
Yifu Ding China 13 117 0.5× 147 0.7× 99 0.6× 43 0.3× 8 0.1× 31 669
Rogelio Reyes-Reyes Mexico 15 60 0.3× 296 1.4× 54 0.3× 48 0.3× 4 0.0× 77 667
Shidong Wang China 14 93 0.4× 262 1.3× 132 0.8× 7 0.0× 72 0.7× 63 657
Qiuxia Li China 15 82 0.4× 130 0.6× 17 0.1× 33 0.2× 19 0.2× 38 617
Junbo Duan China 16 307 1.4× 44 0.2× 56 0.3× 279 1.8× 143 1.3× 41 786
Scott Gigante United States 5 461 2.1× 43 0.2× 65 0.4× 50 0.3× 69 0.6× 6 707

Countries citing papers authored by Duo Peng

Since Specialization
Citations

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

Fields of papers citing papers by Duo Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Duo Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Duo Peng. A scholar is included among the top collaborators of Duo Peng 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 Duo Peng. Duo Peng 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.
Li, Qiong, et al.. (2025). Mouse models of Tembusu virus infection for differentiating between cluster 2.1 and 2.2 isolates. Veterinary Microbiology. 304. 110474–110474. 1 indexed citations
2.
Huang, Jingjing, et al.. (2025). Identification of pattern recognition receptors participating in the innate immune response to Tembusu virus. Archives of Virology. 170(6). 126–126.
3.
Peng, Duo, et al.. (2025). Visual Prompting for One-shot Controllable Video Editing without Inversion. 7784–7794. 2 indexed citations
4.
Peng, Duo, et al.. (2025). Unified Prompt Attack Against Text-to-Image Generation Models. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(6). 4816–4834.
5.
Wang, Zhen, et al.. (2025). The clinical effects and mechanism of action of ranibizumab in treating myopic choroidal neovascularization. International Ophthalmology. 45(1). 33–33. 1 indexed citations
6.
Zhang, Li, Yan Wang, Jiang Pi, et al.. (2024). Iron, Copper, and Zinc Homeostasis in the Battle between Macrophage and Mycobacterium Tuberculosis. Current Medicinal Chemistry. 32(16). 3155–3168. 3 indexed citations
7.
Peng, Duo, et al.. (2024). Unsupervised Domain Adaptation via Domain-Adaptive Diffusion. IEEE Transactions on Image Processing. 33. 4245–4260. 7 indexed citations
8.
Peng, Duo, et al.. (2024). Long-chain polyunsaturated fatty acids influence colorectal cancer progression via the interactions between the intestinal microflora and the macrophages. Molecular and Cellular Biochemistry. 479(11). 2895–2906. 2 indexed citations
9.
Wang, Jiaying, et al.. (2022). An insertion and deletion mutant of adenovirus in Muscovy ducks. Archives of Virology. 167(9). 1879–1883. 3 indexed citations
10.
Xiao, Yuanyuan, Dezhi Chen, Duo Peng, et al.. (2022). Establishment of a co-analysis system for personal identification and body fluid identification: a preliminary report. International Journal of Legal Medicine. 136(6). 1565–1575. 4 indexed citations
11.
Peng, Duo, Yinjie Lei, Lingqiao Liu, Pingping Zhang, & Jun Liu. (2021). Global and Local Texture Randomization for Synthetic-to-Real Semantic Segmentation. IEEE Transactions on Image Processing. 30. 6594–6608. 59 indexed citations
12.
Li, Zhilong, Meili Lv, Duo Peng, et al.. (2021). Feasibility of using probabilistic methods to analyse microRNA quantitative data in forensically relevant body fluids: a proof-of-principle study. International Journal of Legal Medicine. 135(6). 2247–2261. 4 indexed citations
13.
Ingham, Victoria A., Andrew F. Bennett, Duo Peng, Simon C. Wagstaff, & Hilary Ranson. (2020). IR-TEx: An Open Source Data Integration Tool for Big Data Transcriptomics Designed for the Malaria Vector <em>Anopheles gambiae</em>. Journal of Visualized Experiments.
14.
Peng, Duo, Meili Lv, Zhilong Li, et al.. (2019). Postmortem interval determination using mRNA markers and DNA normalization. International Journal of Legal Medicine. 134(1). 149–157. 25 indexed citations
15.
Peng, Duo, et al.. (2019). The expression of 10 candidate specific microRNA markers for human body fluid identification in animal buccal swabs. Forensic Science International. 300. e44–e49. 4 indexed citations
16.
Zhu, Jing, Meili Lv, Nan Zhou, et al.. (2018). Genotyping polymorphic microhaplotype markers through the Illumina® MiSeq platform for forensics. Forensic Science International Genetics. 39. 1–7. 27 indexed citations
17.
Tian, Huan, Meili Lv, Zhilong Li, et al.. (2017). Semen-specific miRNAs: Suitable for the distinction of infertile semen in the body fluid identification?. Forensic Science International Genetics. 33. 161–167. 52 indexed citations
18.
Li, Zhilong, Peng Bai, Duo Peng, et al.. (2017). Screening and confirmation of microRNA markers for distinguishing between menstrual and peripheral blood. Forensic Science International Genetics. 30. 24–33. 32 indexed citations
19.
Wang, Hui, et al.. (2016). Genetic polymorphisms of 17 Y-chromosomal STRs in the Chengdu Han population of China. International Journal of Legal Medicine. 131(4). 967–968. 3 indexed citations
20.
Zhou, Jibo, Shengfang Ge, Duo Peng, et al.. (2011). Microdissection of guinea pig extraocular muscles. Experimental and Therapeutic Medicine. 2(6). 1183–1185. 6 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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