Z. Song

3.3k total citations
6 papers, 5 citations indexed

About

Z. Song is a scholar working on Media Technology, Electrical and Electronic Engineering and Astronomy and Astrophysics. According to data from OpenAlex, Z. Song has authored 6 papers receiving a total of 5 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Media Technology, 2 papers in Electrical and Electronic Engineering and 1 paper in Astronomy and Astrophysics. Recurrent topics in Z. Song's work include CCD and CMOS Imaging Sensors (2 papers), Image Processing Techniques and Applications (2 papers) and Seismic Imaging and Inversion Techniques (1 paper). Z. Song is often cited by papers focused on CCD and CMOS Imaging Sensors (2 papers), Image Processing Techniques and Applications (2 papers) and Seismic Imaging and Inversion Techniques (1 paper). Z. Song collaborates with scholars based in China, Belgium and United States. Z. Song's co-authors include C. Li, Masaya Iwamoto, Jianjun Xu, X. Huang, Yifan Yang, Zhen Zhong, Fengshou Zhang, G. De Lentdecker, P. Pahl and Yunjin Hu and has published in prestigious journals such as Geophysical Research Letters, Physical review. A and Journal of Instrumentation.

In The Last Decade

Z. Song

4 papers receiving 5 citations

Peers

Z. Song
D. Plüschke Germany
A. A. Shah Pakistan
J. Liao United States
C. Cude-Woods United States
Y. H. Lin Japan
Xiyu Yan China
Han Bao China
Z. Song
Citations per year, relative to Z. Song Z. Song (= 1×) peers Mirko Colapietro

Countries citing papers authored by Z. Song

Since Specialization
Citations

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

Fields of papers citing papers by Z. Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Z. Song

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

All Works

6 of 6 papers shown
1.
Zhong, Zhen, et al.. (2025). Controls of Gouge Heterogeneity on Cyclic Reactivation of Fault‐Valve Systems. Geophysical Research Letters. 52(14). 1 indexed citations
3.
Martinez, Rafael Perez, Masaya Iwamoto, Jianjun Xu, et al.. (2024). A Hybrid Physical ASM-HEMT Model Using a Neural Network-Based Methodology. 38–41.
4.
Deng, W., G. De Lentdecker, Guoquan Huang, et al.. (2019). Study of Track Reconstruction using Retina algorithm for charged particles in magnetic field. 53–53. 1 indexed citations
5.
Song, Z., G. De Lentdecker, X. Huang, et al.. (2017). Study of hardware implementations of fast tracking algorithms. Journal of Instrumentation. 12(2). C02068–C02068. 1 indexed citations
6.

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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