Zhijiang Wang

668 total citations · 1 hit paper
71 papers, 452 citations indexed

About

Zhijiang Wang is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Aerospace Engineering. According to data from OpenAlex, Zhijiang Wang has authored 71 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Electrical and Electronic Engineering, 22 papers in Atomic and Molecular Physics, and Optics and 10 papers in Aerospace Engineering. Recurrent topics in Zhijiang Wang's work include Plasma Diagnostics and Applications (21 papers), Photonic Crystal and Fiber Optics (11 papers) and Solid State Laser Technologies (10 papers). Zhijiang Wang is often cited by papers focused on Plasma Diagnostics and Applications (21 papers), Photonic Crystal and Fiber Optics (11 papers) and Solid State Laser Technologies (10 papers). Zhijiang Wang collaborates with scholars based in China, Taiwan and Germany. Zhijiang Wang's co-authors include Wei Jiang, Hao Wu, Lishuang Fan, Liren Liu, Ya Zhang, Yaming Wu, Qihong Lou, Yunrong Wei, Yuan Pan and Changhe Zhou and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Chemical Engineering Journal.

In The Last Decade

Zhijiang Wang

65 papers receiving 406 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

In-situ capture defects through molecule grafting assisted in coal-based hard carbon anode for sodium-ion batteries

2024 61 citations Zhijiang Wang, Lishuang Fan et al. Chemical Engineering Journal profile →

Peers

Zhijiang Wang

EEE

AMPO

AE

MC

MM

Lei Pang China

Scott D. Kovaleski United States

Junxue Ren China

J.M. Gahl United States

Colleen Marrese United States

William Yeong Liang Ling China

Qianhong Zhou China

D. P. Chakravarthy India

Jiaming Shi China

Lei Pang China

Zhijiang Wang

360 ×0.9

EEE

81 ×1.0

AMPO

72 ×1.1

AE

92 ×1.5

MC

22 ×0.4

MM

Citations per year, relative to Zhijiang Wang Zhijiang Wang (= 1×) peers Lei Pang

Countries citing papers authored by Zhijiang Wang

Since Specialization

Citations

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

Fields of papers citing papers by Zhijiang Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhijiang Wang

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

All Works

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20 of 20 papers shown

1.

Wang, Zhijiang, et al.. (2025). Tlsam: multi-scale long-short trend fusion model for long-term multi-variable time series prediction. Knowledge and Information Systems. 67(11). 11193–11222.

2.

Chen, Zhipeng, Zhijiang Wang, Lu Wang, et al.. (2025). Impedance matching assistance based on frequency modulation for capacitively coupled plasmas. Journal of Applied Physics. 137(3). 1 indexed citations

3.

Wang, Zhijiang, et al.. (2024). In-situ capture defects through molecule grafting assisted in coal-based hard carbon anode for sodium-ion batteries. Chemical Engineering Journal. 490. 151428–151428. 61 indexed citations breakdown →

4.

Wang, Zhijiang, et al.. (2024). Numerical Analysis of the Breakdown Process of CF3I at Low Pressure. Applied Sciences. 14(13). 5554–5554.

5.

Chen, Zili, Hongyu Wang, Lu Wang, et al.. (2024). Impedance matching design for capacitively coupled plasmas considering coaxial cables. Journal of Physics D Applied Physics. 57(47). 475204–475204. 3 indexed citations

6.

Wu, Hao, Lu Wang, Zhipeng Chen, et al.. (2024). Kinetic simulations of capacitively coupled plasmas driven by tailored voltage waveforms with multi-frequency matching. Plasma Sources Science and Technology. 33(7). 75003–75003. 4 indexed citations

7.

Zhang, Junli, Zhifeng Cheng, Zhoujun Yang, et al.. (2023). Experimental and numerical modeling of plasma start-up assisted by electron drift injection on J-TEXT. Nuclear Fusion. 63(6). 66012–66012.

8.

Zhang, Junli, P.C. de Vries, K. Nagasaki, et al.. (2023). Experimental study of electron cyclotron heating assisted start-up on J-TEXT. Nuclear Fusion. 63(7). 76028–76028. 4 indexed citations

9.

Chen, Zili, Hao Wu, Lianbo Guo, et al.. (2022). Best impedance matching seeking of single-frequency capacitively coupled plasmas by numerical simulations. Journal of Applied Physics. 132(8). 15 indexed citations

10.

Chen, Zili, Hao Wu, Zhijiang Wang, et al.. (2022). Numerical simulations of the effects of radiofrequency cables on the single-frequency capacitively coupled plasma. Physics of Plasmas. 29(11). 4 indexed citations

11.

Wu, Hao, et al.. (2022). Self-consistent simulation of the impedance matching network for single frequency capacitively coupled plasma. Journal of Physics D Applied Physics. 55(16). 165201–165201. 16 indexed citations

12.

Wu, Hao, Zhaoyu Chen, Zhijiang Wang, et al.. (2022). On the breakdown process of capacitively coupled plasma in carbon tetrafluoride. Journal of Physics D Applied Physics. 55(25). 255203–255203. 8 indexed citations

13.

Wu, Hao, et al.. (2022). A generalized external circuit model for electrostatic particle-in-cell simulations. Computer Physics Communications. 282. 108468–108468. 18 indexed citations

14.

Wu, Hao, et al.. (2022). Numerical simulation of the breakdown process of micro-discharge sustained by field emission. Journal of Physics D Applied Physics. 55(46). 465202–465202. 13 indexed citations

15.

Jiang, Wei, Hao Wu, Zhijiang Wang, Lin Yi, & Ya Zhang. (2022). Gas breakdown in radio-frequency field within MHz range: a review of the state of the art. Plasma Science and Technology. 24(12). 124018–124018. 6 indexed citations

16.

Wu, Hao, et al.. (2021). Electrical breakdown in dual-frequency capacitively coupled plasma: a collective simulation. Plasma Sources Science and Technology. 30(6). 65029–65029. 42 indexed citations

17.

Wu, Hao, et al.. (2021). Computational analysis of direct current breakdown process in SF ₆ at low pressure. Journal of Physics D Applied Physics. 54(44). 445201–445201. 11 indexed citations

18.

Xu, Jie, et al.. (2007). Measurements and Analysis of Plasma Column Discharge Impedance. Chinese Journal of Space Science. 27(4). 315–315. 2 indexed citations

19.

Wang, Zhijiang. (2006). Recent progress of high-power fiber lasers. Infrared and Laser Engineering. 3 indexed citations

20.

Lou, Qihong, Jun Zhou, Jingxing Dong, et al.. (2004). Power amplifier for 1064 nm using Yb3+-doped double-clad fiber. Chinese Optics Letters. 2(2). 98–99. 1 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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