Guoning Wang

1.6k total citations
42 papers, 577 citations indexed

About

Guoning Wang is a scholar working on Electrical and Electronic Engineering, Plant Science and Control and Systems Engineering. According to data from OpenAlex, Guoning Wang has authored 42 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Electrical and Electronic Engineering, 19 papers in Plant Science and 15 papers in Control and Systems Engineering. Recurrent topics in Guoning Wang's work include Microgrid Control and Optimization (15 papers), Research in Cotton Cultivation (13 papers) and Islanding Detection in Power Systems (12 papers). Guoning Wang is often cited by papers focused on Microgrid Control and Optimization (15 papers), Research in Cotton Cultivation (13 papers) and Islanding Detection in Power Systems (12 papers). Guoning Wang collaborates with scholars based in China, United States and Indonesia. Guoning Wang's co-authors include Xiong Du, Zhiying Ma, Yan Zhang, Xingfen Wang, Liqiang Wu, Jun Yang, Zhikun Li, Guiyin Zhang, Haijiao Wang and Jian Sun and has published in prestigious journals such as The Plant Journal, International Journal of Molecular Sciences and IEEE Transactions on Power Electronics.

In The Last Decade

Guoning Wang

38 papers receiving 557 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guoning Wang China 14 331 182 169 158 50 42 577
Pedro Manuel Martínez‐García Spain 15 250 0.8× 105 0.6× 49 0.3× 199 1.3× 3 0.1× 35 531
Zhang‐Wei Liu China 12 429 1.3× 47 0.3× 29 0.2× 296 1.9× 7 0.1× 20 607
Jialei Ji China 14 435 1.3× 83 0.5× 112 0.7× 320 2.0× 2 0.0× 61 697
Muhammad Imran Hamid Indonesia 13 299 0.9× 130 0.7× 75 0.4× 74 0.5× 16 0.3× 66 554
Bikram Das India 10 184 0.6× 236 1.3× 128 0.8× 60 0.4× 15 0.3× 93 479
Željko Jakopović Croatia 11 91 0.3× 154 0.8× 42 0.2× 59 0.4× 5 0.1× 49 363
Zongxiang Chen China 19 1.2k 3.8× 51 0.3× 27 0.2× 281 1.8× 3 0.1× 72 1.4k
Guoqing Gao China 10 483 1.5× 43 0.2× 15 0.1× 127 0.8× 3 0.1× 28 593
Zhe Wei China 10 666 2.0× 252 1.4× 21 0.1× 371 2.3× 2 0.0× 14 1.1k

Countries citing papers authored by Guoning Wang

Since Specialization
Citations

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

Fields of papers citing papers by Guoning Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guoning Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Guoning Wang. A scholar is included among the top collaborators of Guoning 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 Guoning Wang. Guoning 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
1.
2.
Wang, Guoning, Shuyue Guo, Yanzhao Hou, et al.. (2024). Effective Beamforming Design Using DL-Based Codebook Classification in RIS-Aided mmWave Systems. 1–6. 2 indexed citations
3.
Wang, Guoning, et al.. (2023). GlandSegNet: Semantic segmentation model and area detection method for cotton leaf pigment glands. Computers and Electronics in Agriculture. 212. 108130–108130. 7 indexed citations
4.
Liu, Zhengwen, Zhengwen Sun, Huifeng Ke, et al.. (2023). Transcriptome, Ectopic Expression and Genetic Population Analysis Identify Candidate Genes for Fiber Quality Improvement in Cotton. International Journal of Molecular Sciences. 24(9). 8293–8293. 8 indexed citations
5.
Yang, Jun, Haonan Chen, Zhengwen Sun, et al.. (2023). Genome-wide association study reveals novel SNPs and genes in Gossypium hirsutum underlying Aphis gossypii resistance. Theoretical and Applied Genetics. 136(8). 171–171. 4 indexed citations
6.
Wang, Zhicheng, Jin Zhang, Dongmei Zhang, et al.. (2023). Lysine 2‐Hydroxyisobutyrylation‐ and Succinylation‐Based Pathways Act Inside Chloroplasts to Modulate Plant Photosynthesis and Immunity. Advanced Science. 10(27). e2301803–e2301803. 17 indexed citations
7.
Wang, Nan, et al.. (2023). Detection and counting of pigment glands in cotton leaves using improved U-Net. Frontiers in Plant Science. 13. 1075051–1075051. 1 indexed citations
8.
Zhu, Hongtao, et al.. (2022). A dual compensation strategy based on multi-model support vector regression for tool wear monitoring. Measurement Science and Technology. 33(10). 105601–105601. 12 indexed citations
9.
Chen, Liting, Yuanyuan Yan, Huifeng Ke, et al.. (2022). SEP-like genes of Gossypium hirsutum promote flowering via targeting different loci in a concentration-dependent manner. Frontiers in Plant Science. 13. 990221–990221. 5 indexed citations
10.
Wu, Nan, Jun Yang, Guoning Wang, et al.. (2022). Novel insights into water-deficit-responsive mRNAs and lncRNAs during fiber development in Gossypium hirsutum. BMC Plant Biology. 22(1). 6–6. 7 indexed citations
11.
Zhang, Yan, Bin Chen, Zhengwen Sun, et al.. (2021). A large‐scale genomic association analysis identifies a fragment in Dt11 chromosome conferring cotton Verticillium wilt resistance. Plant Biotechnology Journal. 19(10). 2126–2138. 32 indexed citations
12.
Wang, Guoning, Xingfen Wang, Yan Zhang, et al.. (2021). Dynamic characteristics and functional analysis provide new insights into long non-coding RNA responsive to Verticillium dahliae infection in Gossypium hirsutum. BMC Plant Biology. 21(1). 68–68. 31 indexed citations
13.
Yang, Jun, Xingfen Wang, Guoning Wang, et al.. (2021). Identification of cell wall-associated kinases as important regulators involved in Gossypium hirsutum resistance to Verticillium dahliae. BMC Plant Biology. 21(1). 220–220. 24 indexed citations
14.
Gu, Qishen, Huifeng Ke, Zhengwen Liu, et al.. (2020). A high-density genetic map and multiple environmental tests reveal novel quantitative trait loci and candidate genes for fibre quality and yield in cotton. Theoretical and Applied Genetics. 133(12). 3395–3408. 31 indexed citations
15.
Yang, Jun, Guoning Wang, Huifeng Ke, et al.. (2019). Genome-wide identification of cyclophilin genes in Gossypium hirsutum and functional characterization of a CYP with antifungal activity against Verticillium dahliae. BMC Plant Biology. 19(1). 272–272. 13 indexed citations
16.
Wang, Guoning, et al.. (2018). Mechanism Analysis and Stabilization of Three-Phase Grid-Inverter Systems Considering Frequency Coupling. Journal of Power Electronics. 18(3). 853–862. 11 indexed citations
17.
Yang, Jun, Yan Zhang, Xingfen Wang, et al.. (2018). HyPRP1 performs a role in negatively regulating cotton resistance to V. dahliae via the thickening of cell walls and ROS accumulation. BMC Plant Biology. 18(1). 339–339. 43 indexed citations
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20.
Wang, Guoning, et al.. (2011). [The effect of total phenolics from abnormal savda munziq on cervical cancer cell lines].. PubMed. 34(8). 1255–9. 2 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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