Peipei Wang

934 total citations
24 papers, 717 citations indexed

About

Peipei Wang is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Plant Science. According to data from OpenAlex, Peipei Wang has authored 24 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 7 papers in Molecular Biology and 4 papers in Plant Science. Recurrent topics in Peipei Wang's work include Advanced Steganography and Watermarking Techniques (6 papers), Chaos-based Image/Signal Encryption (4 papers) and Polysaccharides and Plant Cell Walls (4 papers). Peipei Wang is often cited by papers focused on Advanced Steganography and Watermarking Techniques (6 papers), Chaos-based Image/Signal Encryption (4 papers) and Polysaccharides and Plant Cell Walls (4 papers). Peipei Wang collaborates with scholars based in China, United States and Germany. Peipei Wang's co-authors include Kan Ding, Guo‐Xin Sun, Yong‐Guan Zhu, Jian Yao, Zhenyun Du, Andrew A. Meharg, Yan Jia, Yanli Yao, Jianping Fang and Wenfeng Liao and has published in prestigious journals such as Environmental Science & Technology, Journal of Medicinal Chemistry and Carbohydrate Polymers.

In The Last Decade

Peipei Wang

21 papers receiving 706 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peipei Wang China 12 191 176 173 105 104 24 717
Eman T. Mohammed Egypt 15 128 0.7× 126 0.7× 22 0.1× 131 1.2× 40 0.4× 28 688
Rafał Szewczyk Poland 22 316 1.7× 223 1.3× 27 0.2× 221 2.1× 52 0.5× 44 960
Yue Huang China 20 124 0.6× 238 1.4× 15 0.1× 20 0.2× 24 0.2× 55 956
Chia‐Cheng Wei Taiwan 17 106 0.6× 204 1.2× 209 1.2× 190 1.8× 19 0.2× 32 810
Fumiyo Takabayashi Japan 18 78 0.4× 307 1.7× 129 0.7× 116 1.1× 59 0.6× 33 997
Kobra Shirani Iran 18 223 1.2× 255 1.4× 25 0.1× 104 1.0× 91 0.9× 39 879
Rahul India 15 117 0.6× 196 1.1× 5 0.0× 41 0.4× 137 1.3× 55 716
Shreesh Raj Sammi India 16 63 0.3× 221 1.3× 46 0.3× 57 0.5× 154 1.5× 25 708
Yingjie He China 18 146 0.8× 409 2.3× 22 0.1× 31 0.3× 82 0.8× 59 944
Jiunn‐Jye Chuu Taiwan 17 67 0.4× 229 1.3× 50 0.3× 171 1.6× 169 1.6× 31 750

Countries citing papers authored by Peipei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Peipei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peipei Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Peipei Wang. A scholar is included among the top collaborators of Peipei Wang 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 Peipei Wang. Peipei Wang 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
2.
Wang, Xianfeng, Zhen Liu, Xinyue Peng, et al.. (2025). Targeting USP10–FAK pathway sensitizes BCR-ABL+ leukemia cells to tyrosine kinase inhibitors. 1(2). 100017–100017. 1 indexed citations
3.
Lu, Yang, Peipei Wang, Haifeng Chen, et al.. (2024). Discovery of potent small molecule ubiquitin-specific protease 10 inhibitors with anti-hepatocellular carcinoma activity through regulating YAP expression. European Journal of Medicinal Chemistry. 272. 116468–116468. 9 indexed citations
4.
Pan, Youlu, Peipei Wang, Jinxin Che, et al.. (2024). Discovery of N-Benzylpiperidinol derivatives as USP7 inhibitors against Hematology. Bioorganic Chemistry. 153. 107807–107807.
5.
Song, Wei, et al.. (2023). Batch image encryption using cross image permutation and diffusion. Journal of Information Security and Applications. 80. 103686–103686. 29 indexed citations
6.
Wu, Haotian, et al.. (2022). GGViT:Multistream Vision Transformer Network in Face2Face Facial Reenactment Detection. 2022 26th International Conference on Pattern Recognition (ICPR). 2335–2341. 4 indexed citations
7.
Wang, Peipei, Xiaofeng Han, Xinqi Liu, et al.. (2022). Synthesis of Enantioenriched Sulfoxides by an Oxidation‐Reduction Enzymatic Cascade. Chemistry - A European Journal. 28(61). e202201997–e202201997. 11 indexed citations
8.
Wang, Peipei, et al.. (2019). Exploring Regular Expression Evolution. 502–513. 14 indexed citations
9.
Yao, Yanli, Jian Yao, Zhenyun Du, Peipei Wang, & Kan Ding. (2018). Structural elucidation and immune-enhancing activity of an arabinogalactan from flowers of Carthamus tinctorius L.. Carbohydrate Polymers. 202. 134–142. 65 indexed citations
10.
Yao, Yanli, Lishuang Zhou, Wenfeng Liao, et al.. (2018). HH1-1, a novel Galectin-3 inhibitor, exerts anti-pancreatic cancer activity by blocking Galectin-3/EGFR/AKT/FOXO3 signaling pathway. Carbohydrate Polymers. 204. 111–123. 60 indexed citations
11.
Liu, Qin, Jianping Fang, Peipei Wang, et al.. (2017). Characterization of a pectin from Lonicera japonica Thunb. and its inhibition effect on Aβ42 aggregation and promotion of neuritogenesis. International Journal of Biological Macromolecules. 107(Pt A). 112–120. 49 indexed citations
12.
Huang, Shichao, Jianxin Mao, Kan Ding, et al.. (2017). Polysaccharides from Ganoderma lucidum Promote Cognitive Function and Neural Progenitor Proliferation in Mouse Model of Alzheimer's Disease. Stem Cell Reports. 8(1). 84–94. 119 indexed citations
13.
Yao, Xiangjuan, et al.. (2017). Multi-objective optimization model and evolutional solution of network node matching problem. Physica A Statistical Mechanics and its Applications. 483. 495–502. 3 indexed citations
14.
Wang, Peipei, Yun Cao, & Xianfeng Zhao. (2017). Segmentation Based Video Steganalysis to Detect Motion Vector Modification. Security and Communication Networks. 2017. 1–12. 10 indexed citations
16.
Wang, Peipei, Yun Cao, Xianfeng Zhao, & Haibo Yu. (2015). An adaptive detecting strategy against motion vector-based steganography. 6387. 1–6. 3 indexed citations
17.
Wang, Peipei, Wenfeng Liao, Jianping Fang, et al.. (2014). A glucan isolated from flowers of Lonicera japonica Thunb. inhibits aggregation and neurotoxicity of Aβ42. Carbohydrate Polymers. 110. 142–147. 89 indexed citations
18.
Wang, Peipei, Guo‐Xin Sun, Yan Jia, Andrew A. Meharg, & Yong‐Guan Zhu. (2014). A review on completing arsenic biogeochemical cycle: Microbial volatilization of arsines in environment. Journal of Environmental Sciences. 26(2). 371–381. 135 indexed citations
19.
Wang, Peipei, Guo‐Xin Sun, & Yong‐Guan Zhu. (2014). Identification and Characterization of Arsenite Methyltransferase from an Archaeon,Methanosarcina acetivoransC2A. Environmental Science & Technology. 48(21). 12706–12713. 65 indexed citations
20.
Wang, Peipei, et al.. (2005). Facial Expression Recognition Using Thermal Image. PubMed. 2006. 631–633. 12 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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