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About the database ScholarIQanswers from OpenAlex & ORCID
How has Xin Ding's publication output changed over time?
ScholarIQpublication output · 2002–2025
Output grew0% over the shown period — from 1 works in 2002 to 1 in 2025.
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200220052008201520162019202020232025
What are the most-cited papers on Xin Ding?
ScholarIQmost cited works
Determination of thermal focal length and pumping radius in gain medium in laser-diode-pumped Nd:YVO4 lasers
Feng Song, Chaobo Zhang, Xin Ding, Jingjun Xu, Guangyin Zhang, Matthew Leigh, N. Peyghambarian
S105243760. 2002153 CitationsOPEN ACCESS
<i>In situ</i> growth of well-aligned Ni-MOF nanosheets on nickel foam for enhanced photocatalytic degradation of typical volatile organic compounds
Xin Ding, Hongli Liu, Jiangyao Chen, Meicheng Wen, Guiying Li, Taicheng An, Huijun Zhao
S23181512. 2020105 CitationsOPEN ACCESS
Degradation of phenol with heterogeneous catalytic ozonation enhanced by high gravity technology
Xingyue Wei, Shengjuan Shao, Xin Ding, Weizhou Jiao, Youzhi Liu
Journal of Cleaner Production. 2019102 Citations
Broadband, wide-angle, low-scattering terahertz wave by a flexible 2-bit coding metasurface
Xin Yan, Lanju Liang, Jing Yang, Weiwei Liu, Xin Ding, Degang Xu, Yating Zhang, Tie Jun Cui, Jianquan Yao
S178776955. 201596 CitationsOPEN ACCESS
Multi-Agent Deep Reinforcement Learning-Based Flexible Satellite Payload for Mobile Terminals
Xin Hu, Xianglai Liao, Zhijun Liu, Shuaijun Liu, Xin Ding, Mohamed Helaoui, Weidong Wang, Fadhel M. Ghannouchi
S10936095. 202076 Citations
Related on ScholarIQ
Chemical Synthesis Lab
Institution
Determination of thermal focal length and pumping radius in gain medium in laser-diode-pumped Nd:YVO4 lasers
Paper
<i>In situ</i> growth of well-aligned Ni-MOF nanosheets on nickel foam for enhanced photocatalytic degradation of typical volatile organic compounds
Paper
Degradation of phenol with heterogeneous catalytic ozonation enhanced by high gravity technology
Paper
Broadband, wide-angle, low-scattering terahertz wave by a flexible 2-bit coding metasurface
Paper
Multi-Agent Deep Reinforcement Learning-Based Flexible Satellite Payload for Mobile Terminals
Paper