C. Zhang

13.8k total citations
35 papers, 503 citations indexed

About

C. Zhang is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, C. Zhang has authored 35 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Nuclear and High Energy Physics, 6 papers in Artificial Intelligence and 3 papers in Computer Networks and Communications. Recurrent topics in C. Zhang's work include Neutrino Physics Research (15 papers), Particle physics theoretical and experimental studies (11 papers) and Astrophysics and Cosmic Phenomena (8 papers). C. Zhang is often cited by papers focused on Neutrino Physics Research (15 papers), Particle physics theoretical and experimental studies (11 papers) and Astrophysics and Cosmic Phenomena (8 papers). C. Zhang collaborates with scholars based in United States, China and France. C. Zhang's co-authors include X. Qian, P. Vogel, R. D. McKeown, Shinjae Yoo, Xiang-Gao Wang, Tzu-Chieh Wei, Samuel Yen-Chi Chen, Xuan Dong, Xin Bai and Weijia Jia and has published in prestigious journals such as Nature Communications, Journal of Materials Chemistry A and The Journal of Physical Chemistry Letters.

In The Last Decade

C. Zhang

31 papers receiving 489 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Zhang United States 12 287 98 65 57 46 35 503
Yusuke Tanimura Japan 14 301 1.0× 51 0.5× 134 2.1× 19 0.3× 138 3.0× 69 536
Iosif Meyerov Russia 12 301 1.0× 52 0.5× 26 0.4× 92 1.6× 261 5.7× 41 533
R. K. Böck Switzerland 9 146 0.5× 71 0.7× 24 0.4× 37 0.6× 14 0.3× 26 369
S. Brandon United States 10 172 0.6× 54 0.6× 10 0.2× 67 1.2× 80 1.7× 28 434
W. D. Pence United States 14 154 0.5× 44 0.4× 53 0.8× 40 0.7× 31 0.7× 46 774
Luke de Oliveira United States 6 353 1.2× 157 1.6× 24 0.4× 13 0.2× 9 0.2× 7 501
G. D’Agostini Italy 7 353 1.2× 48 0.5× 17 0.3× 14 0.2× 37 0.8× 18 518
З. К. Силагадзе Russia 15 429 1.5× 66 0.7× 30 0.5× 11 0.2× 82 1.8× 79 638
Gregor Kasieczka Germany 18 712 2.5× 355 3.6× 37 0.6× 17 0.3× 18 0.4× 46 906
S. Vallecorsa Switzerland 15 148 0.5× 380 3.9× 23 0.4× 43 0.8× 137 3.0× 58 569

Countries citing papers authored by C. Zhang

Since Specialization
Citations

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

Fields of papers citing papers by C. Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of C. Zhang. A scholar is included among the top collaborators of C. Zhang 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 C. Zhang. C. Zhang 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.
Li, Wensheng, Chuncheng Wang, Jian Wang, et al.. (2025). Generative adversarial physics-informed neural networks for solving forward and inverse problem with small labeled samples. Computers & Mathematics with Applications. 183. 98–120. 3 indexed citations
2.
Zheng, Wenrui, Yonghui Xie, Hong Zhang, et al.. (2025). A lithiophilic bimetallic oxide interlayer enabling high-rate and dendrite-free lithium metal anodes. Journal of Materials Chemistry A. 13(21). 15673–15679. 3 indexed citations
3.
4.
Bowden, N. S., C. Roca, Jing Xu, et al.. (2024). Particle physics using reactor antineutrinos. Journal of Physics G Nuclear and Particle Physics. 51(8). 80501–80501. 1 indexed citations
5.
Zhang, C., Mohan Li, Ignas Budvytis, & Stephan Liwicki. (2024). DiaLoc: An Iterative Approach to Embodied Dialog Localization. 12585–12593. 1 indexed citations
6.
Martynenko, S., F. Pietropaolo, B. Viren, et al.. (2023). A hybrid 3D/2D field response calculation for liquid argon detectors with PCB based anode plane. Journal of Instrumentation. 18(4). P04033–P04033.
7.
Chen, Samuel Yen-Chi, et al.. (2022). Quantum convolutional neural networks for high energy physics data analysis. Physical Review Research. 4(1). 78 indexed citations
8.
Zhang, C., et al.. (2022). A Method of Mapping and Nearest-Neighbor for IBM QX Architecture. 402–409. 1 indexed citations
9.
Ji, Xiangpan, W. Gu, X. Qian, H. Wei, & C. Zhang. (2020). Combined Neyman–Pearson chi-square: An improved approximation to the Poisson-likelihood chi-square. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 961. 163677–163677. 8 indexed citations
10.
Qian, X., et al.. (2016). The Gaussian CL method for searches of new physics. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 827. 63–78. 16 indexed citations
11.
Diwan, M., M. Potekhin, B. Viren, X. Qian, & C. Zhang. (2016). A novel method for event reconstruction in Liquid Argon Time Projection Chamber. Journal of Physics Conference Series. 762. 12033–12033. 1 indexed citations
12.
Bignell, L.J., Dmitriy Beznosko, M. Diwan, et al.. (2015). Characterization and modeling of a Water-based Liquid Scintillator. Journal of Instrumentation. 10(12). P12009–P12009. 28 indexed citations
13.
Vogel, P., Liangjian Wen, & C. Zhang. (2015). Neutrino oscillation studies with reactors. Nature Communications. 6(1). 6935–6935. 27 indexed citations
14.
Huang, Xiaomeng, et al.. (2014). A fast input/output library for high-resolution climate models. Geoscientific model development. 7(1). 93–103. 11 indexed citations
15.
Liu, Jianglai, B. Cai, R. Carr, et al.. (2014). Automated calibration system for a high-precision measurement of neutrino mixing angle θ13 with the Daya Bay antineutrino detectors. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 750. 19–37. 12 indexed citations
16.
Zhang, C. & Lei Ma. (2014). An extensible framework for smart engineering simulation software: its architecture, implementation and applications. The International Journal of Multiphysics. 8(4). 397–410. 1 indexed citations
17.
Qian, X., et al.. (2012). Statistical evaluation of experimental determinations of neutrino mass hierarchy. Physical review. D. Particles, fields, gravitation, and cosmology. 86(11). 46 indexed citations
18.
Shi, Zuoqiang & C. Zhang. (2006). Energy predictability to blind source separation. Electronics Letters. 42(17). 1006–1008. 6 indexed citations
19.
Yan, Qiurong, et al.. (2005). Recent Progress of the Project of the Chinese Spallation Neutron Source. Journal of Neutron Research. 13(1-3). 11–14. 4 indexed citations
20.
Zhang, C., et al.. (2004). Efficient pitch predictor algorithm in ITU-T G.723.1. 2. 1727–1729. 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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