Pu Shi

2.1k total citations
27 papers, 1.2k citations indexed

About

Pu Shi is a scholar working on Molecular Biology, Control and Systems Engineering and Pharmacology. According to data from OpenAlex, Pu Shi has authored 27 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Control and Systems Engineering and 4 papers in Pharmacology. Recurrent topics in Pu Shi's work include Plant biochemistry and biosynthesis (13 papers), Robotic Path Planning Algorithms (4 papers) and Pharmacological Effects of Natural Compounds (4 papers). Pu Shi is often cited by papers focused on Plant biochemistry and biosynthesis (13 papers), Robotic Path Planning Algorithms (4 papers) and Pharmacological Effects of Natural Compounds (4 papers). Pu Shi collaborates with scholars based in China, Botswana and Mexico. Pu Shi's co-authors include Xueqing Fu, Qian Shen, Kexuan Tang, Tingxiang Yan, Qifang Pan, Yueli Tang, Weimin Jiang, Zongyou Lv, Xiaofen Sun and Xiaolong Hao and has published in prestigious journals such as New Phytologist, Journal of Experimental Botany and Frontiers in Plant Science.

In The Last Decade

Pu Shi

27 papers receiving 1.2k 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 Shi China 17 949 401 136 113 99 27 1.2k
Raj Kumar Joshi India 24 677 0.7× 1.2k 3.0× 28 0.2× 70 0.6× 48 0.5× 96 1.8k
Zhenyue Wang China 18 323 0.3× 338 0.8× 69 0.5× 31 0.3× 18 0.2× 73 771
Hongli Luo China 23 819 0.9× 1.4k 3.6× 86 0.6× 18 0.2× 66 0.7× 102 2.1k
Michael Phillips Australia 16 490 0.5× 150 0.4× 33 0.2× 17 0.2× 54 0.5× 27 983
Zengzhi Li China 21 530 0.6× 598 1.5× 459 3.4× 47 0.4× 84 0.8× 166 1.8k
J. Schröder Germany 18 869 0.9× 457 1.1× 96 0.7× 36 0.3× 121 1.2× 32 1.5k
Yongpeng Li China 23 1.1k 1.1× 859 2.1× 80 0.6× 62 0.5× 64 0.6× 69 1.5k
Jinquan Huang China 13 370 0.4× 438 1.1× 46 0.3× 13 0.1× 31 0.3× 29 884
Zhi Deng China 16 476 0.5× 458 1.1× 19 0.1× 22 0.2× 19 0.2× 61 913

Countries citing papers authored by Pu Shi

Since Specialization
Citations

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

Fields of papers citing papers by Pu Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pu Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Pu Shi. A scholar is included among the top collaborators of Pu Shi 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 Shi. Pu Shi 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.
Shi, Pu, et al.. (2022). EVALUATION OF SALT TOLERANT WHEAT VARIETIES CULTIVARS BY OBSERVING GROWTH AND PHYSIOLOGICAL RESPONSE UNDER DROUGHT STRESS. Applied Ecology and Environmental Research. 20(1). 619–632. 1 indexed citations
2.
Shi, Pu, Xingkai Yu, & Jianxun Li. (2021). Distributed Kalman filter for linear system with complex multi‐channel stochastic uncertain parameter and decoupled local filters. International Journal of Adaptive Control and Signal Processing. 35(8). 1498–1512. 3 indexed citations
3.
Yu, Xingkai, Pu Shi, & Jianxun Li. (2020). An Optimal Filter for Singular Systems With Stochastic Multiplicative Disturbance. IEEE Transactions on Circuits & Systems II Express Briefs. 67(12). 3607–3611. 10 indexed citations
4.
Lv, Zongyou, Lida Zhang, Fangyuan Zhang, et al.. (2019). Interaction of bZIP transcription factor TGA6 with salicylic acid signaling modulates artemisinin biosynthesis in Artemisia annua. Journal of Experimental Botany. 70(15). 3969–3979. 67 indexed citations
5.
Chao, Hongbo, Nadia Raboanatahiry, Weiguo Zhao, et al.. (2019). Genetic dissection of harvest index and related traits through genome-wide quantitative trait locus mapping in <i>Brassica napus</i> L.. Breeding Science. 69(1). 104–116. 13 indexed citations
6.
Raboanatahiry, Nadia, Hongbo Chao, Pu Shi, et al.. (2018). QTL Alignment for Seed Yield and Yield Related Traits in Brassica napus. Frontiers in Plant Science. 9. 1127–1127. 45 indexed citations
7.
Tang, Yueli, Ling Li, Tingxiang Yan, et al.. (2018). AaEIN3 Mediates the Downregulation of Artemisinin Biosynthesis by Ethylene Signaling Through Promoting Leaf Senescence in Artemisia annua. Frontiers in Plant Science. 9. 413–413. 19 indexed citations
8.
Hao, Xiaolong, Xueqing Fu, Zongyou Lv, et al.. (2017). Transcriptome Analysis of Genes Associated with the Artemisinin Biosynthesis by Jasmonic Acid Treatment under the Light in Artemisia annua. Frontiers in Plant Science. 8. 971–971. 65 indexed citations
9.
Fu, Xueqing, Pu Shi, Qian He, et al.. (2017). AaPDR3, a PDR Transporter 3, Is Involved in Sesquiterpene β-Caryophyllene Transport in Artemisia annua. Frontiers in Plant Science. 8. 723–723. 60 indexed citations
10.
He, Qian, Xueqing Fu, Pu Shi, et al.. (2017). Glandular trichome-specific expression of alcohol dehydrogenase 1 (ADH1) using a promoter-GUS fusion in Artemisia annua L.. Plant Cell Tissue and Organ Culture (PCTOC). 130(1). 61–72. 17 indexed citations
11.
Shi, Pu, Xueqing Fu, Meng Liu, et al.. (2017). Promotion of artemisinin content in Artemisia annua by overexpression of multiple artemisinin biosynthetic pathway genes. Plant Cell Tissue and Organ Culture (PCTOC). 129(2). 251–259. 36 indexed citations
12.
Lv, Zongyou, Fangyuan Zhang, Qifang Pan, et al.. (2016). Branch Pathway Blocking inArtemisia annuais a Useful Method for Obtaining High Yield Artemisinin. Plant and Cell Physiology. 57(3). 588–602. 55 indexed citations
13.
Jiang, Weimin, Xueqing Fu, Qifang Pan, et al.. (2016). Overexpression ofAaWRKY1Leads to an Enhanced Content of Artemisinin inArtemisia annua. BioMed Research International. 2016. 1–9. 51 indexed citations
14.
Fu, Xueqing, Pu Shi, Qian Shen, et al.. (2015). T‐shaped trichome‐specific expression of monoterpene synthase ADH2 using promoter–β‐GUS fusion in transgenic Artemisia annua L.. Biotechnology and Applied Biochemistry. 63(6). 834–840. 5 indexed citations
15.
Shi, Pu, et al.. (2013). MDL-Based Control Method for Tele-robotic Systems. ROBOT. 35(5). 615–615. 1 indexed citations
16.
Shi, Pu, et al.. (2012). Mobile Robot Dynamic Path Planning Based on Artificial Potential Field Approach. Advanced materials research. 490-495. 994–998. 6 indexed citations
17.
Cui, Yujie, et al.. (2010). Kinematics analysis and simulation of a 6-DOF humanoid robot manipulator. 246–249. 21 indexed citations
18.
Cui, Yujie, et al.. (2010). Analysis of workspace for a harvesting manipulator based on Monte-Cario method. 311–314. 3 indexed citations
19.
Shi, Pu & Yiwen Zhao. (2009). An efficient path planning algorithm for mobile robot using improved potential field. 1704–1708. 20 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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