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.
Ultrathin broadband terahertz metamaterial based on single-layer nested patterned graphene
2025153 citationsZhipeng Li, Shubo Cheng et al.Physics Letters Aprofile →
A fully symmetric solar absorber for thermophotovoltaic power generation
202536 citationsDongyang Yan, Chaojun Tang et al.Physics Letters Aprofile →
Perfect absorption properties of a near-infrared super-surface perfect absorber based on a multilayer subwavelength array structure
202533 citationsYujie Wang, Zhimin Liu et al.Physics Letters Aprofile →
High Absorption Broadband Ultra-Long Infrared Absorption Device Based on Nanoring–Nanowire Metasurface Structure
202531 citationsJiao Wang, Hua Yang et al.Photonicsprofile →
A modulated broadband polarimetric insensitive metamaterial absorber based on a monolayer of graphene
202529 citationsXin Ning, Tangyou Sun et al.Communications in Theoretical Physicsprofile →
Highly sensitive photonic crystal optic fiber with annular stomatal arrangement for cervical cancer cell detection
202526 citationsHua Yang, Chaojun Tang et al.Physics Letters Aprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Junqiao 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 Junqiao Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junqiao Wang more than expected).
This network shows the impact of papers produced by Junqiao 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 Junqiao Wang. The network helps show where Junqiao Wang may publish in the future.
Co-authorship network of co-authors of Junqiao Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Junqiao Wang.
A scholar is included among the top collaborators of Junqiao 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 Junqiao Wang. Junqiao Wang is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
16 of 16 papers shown
1.
Wang, Yujie, Zhimin Liu, Fengqi Zhou, Zao Yi, & Junqiao Wang. (2025). Perfect absorption properties of a near-infrared super-surface perfect absorber based on a multilayer subwavelength array structure. Physics Letters A. 540. 130395–130395.33 indexed citations breakdown →
2.
Wang, Jiao, Hua Yang, Zao Yi, et al.. (2025). High Absorption Broadband Ultra-Long Infrared Absorption Device Based on Nanoring–Nanowire Metasurface Structure. Photonics. 12(5). 451–451.31 indexed citations breakdown →
Ning, Xin, Tangyou Sun, Qianju Song, et al.. (2025). A modulated broadband polarimetric insensitive metamaterial absorber based on a monolayer of graphene. Communications in Theoretical Physics. 77(9). 95702–95702.29 indexed citations breakdown →
Yan, Dongyang, Chaojun Tang, Zao Yi, Junqiao Wang, & Boxun Li. (2025). A fully symmetric solar absorber for thermophotovoltaic power generation. Physics Letters A. 542. 130461–130461.36 indexed citations breakdown →
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.