Xin-Nian Wang

20.6k total citations · 5 hit papers
290 papers, 12.4k citations indexed

About

Xin-Nian Wang is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Aerospace Engineering. According to data from OpenAlex, Xin-Nian Wang has authored 290 papers receiving a total of 12.4k indexed citations (citations by other indexed papers that have themselves been cited), including 264 papers in Nuclear and High Energy Physics, 18 papers in Astronomy and Astrophysics and 10 papers in Aerospace Engineering. Recurrent topics in Xin-Nian Wang's work include High-Energy Particle Collisions Research (258 papers), Particle physics theoretical and experimental studies (241 papers) and Quantum Chromodynamics and Particle Interactions (227 papers). Xin-Nian Wang is often cited by papers focused on High-Energy Particle Collisions Research (258 papers), Particle physics theoretical and experimental studies (241 papers) and Quantum Chromodynamics and Particle Interactions (227 papers). Xin-Nian Wang collaborates with scholars based in United States, China and Germany. Xin-Nian Wang's co-authors include Miklós Gyulassy, Zuo-tang Liang, Xiaofeng Guo, Qun Wang, Enke Wang, Long-Gang Pang, Guang-You Qin, Tan Luo, Berndt Müller and Ben-Wei Zhang and has published in prestigious journals such as Physical Review Letters, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Xin-Nian Wang

282 papers receiving 12.2k citations

Hit Papers

hijing: A Monte Carlo model for multiple jet production i... 1991 2026 2002 2014 1991 1992 1994 2014 2022 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xin-Nian Wang United States 60 12.0k 1.2k 688 598 177 290 12.4k
Steffen A. Bass United States 47 9.6k 0.8× 1.1k 0.9× 412 0.6× 782 1.3× 110 0.6× 203 9.9k
S. Brunner Switzerland 29 2.5k 0.2× 1.8k 1.5× 461 0.7× 521 0.9× 220 1.2× 145 2.9k
Vladimir V. Skokov United States 29 3.7k 0.3× 880 0.7× 437 0.6× 145 0.2× 101 0.6× 181 4.1k
Ph. Ghendrih France 35 4.5k 0.4× 2.6k 2.2× 250 0.4× 630 1.1× 659 3.7× 259 4.9k
L. Ṽillard Switzerland 38 4.0k 0.3× 3.0k 2.5× 264 0.4× 953 1.6× 476 2.7× 188 4.2k
J. P. Freidberg United States 29 2.7k 0.2× 1.8k 1.5× 507 0.7× 472 0.8× 519 2.9× 92 3.3k
Alain J. Brizard United States 23 2.1k 0.2× 1.7k 1.5× 335 0.5× 444 0.7× 154 0.9× 84 2.5k
Paolo Ricci Switzerland 33 2.9k 0.2× 2.6k 2.2× 270 0.4× 291 0.5× 336 1.9× 146 3.5k
F. L. Hinton United States 33 5.0k 0.4× 3.4k 2.8× 532 0.8× 652 1.1× 822 4.6× 76 5.3k
Y. Sarazin France 32 3.0k 0.2× 2.2k 1.8× 159 0.2× 326 0.5× 311 1.8× 151 3.2k

Countries citing papers authored by Xin-Nian Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xin-Nian Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin-Nian Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xin-Nian Wang. A scholar is included among the top collaborators of Xin-Nian 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 Xin-Nian Wang. Xin-Nian Wang 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.
Zhao, Rongxuan, Xin-Nian Wang, Muhammad Imran, et al.. (2025). Progress in enzyme-powered micro/nanomotors in diagnostics and therapeutics. Bioactive Materials. 46. 555–568. 5 indexed citations
2.
Ko, Che Ming, Y. G., Kai-Jia Sun, et al.. (2024). Jet-induced enhancement of deuteron production in pp and p-Pb collisions at the LHC. Physics Letters B. 859. 139102–139102. 2 indexed citations
3.
Sheng, Xin-Li, Lucia Oliva, Zuo-tang Liang, Qun Wang, & Xin-Nian Wang. (2024). Relativistic spin dynamics for vector mesons. Physical review. D. 109(3). 20 indexed citations
4.
Ke, Weiyao, et al.. (2023). Bayesian inference of the path-length dependence of jet energy loss. Physical review. C. 108(3). 6 indexed citations
5.
Pang, Long-Gang & Xin-Nian Wang. (2023). Bayesian analysis of nuclear equation of state at high baryon density. Nuclear Science and Techniques. 34(12). 6 indexed citations
6.
Yang, Z. C., Yayun He, Wei Chen, et al.. (2023). Deep learning assisted jet tomography for the study of Mach cones in QGP. The European Physical Journal C. 83(7). 9 indexed citations
7.
Gao, Jian-Hua, Xu-Guang Huang, Zuo-tang Liang, Qun Wang, & Xin-Nian Wang. (2023). Spin-orbital coupling in strong interaction and global spin polarization. Acta Physica Sinica. 72(7). 72501–72501. 6 indexed citations
8.
Barata, João, Andrey V. Sadofyev, & Xin-Nian Wang. (2023). Quantum partonic transport in QCD matter. Physical review. D. 107(5). 16 indexed citations
9.
Sheng, Xin-Li, Lucia Oliva, Zuo-tang Liang, Qun Wang, & Xin-Nian Wang. (2023). Spin Alignment of Vector Mesons in Heavy-Ion Collisions. Physical Review Letters. 131(4). 42304–42304. 44 indexed citations
10.
Huang, Y., Long-Gang Pang, X. Luo, & Xin-Nian Wang. (2022). Probing criticality with deep learning in relativistic heavy-ion collisions. Physics Letters B. 827. 137001–137001. 10 indexed citations
11.
Boehnlein, A., Markus Diefenthaler, N. Sato, et al.. (2022). Colloquium: Machine learning in nuclear physics. Reviews of Modern Physics. 94(3). 140 indexed citations breakdown →
12.
Sheng, Xin-Li, Qun Wang, & Xin-Nian Wang. (2020). Improved quark coalescence model for spin alignment and polarization of hadrons. Physical review. D. 102(5). 45 indexed citations
13.
Fang, Ren-Hong, et al.. (2019). Microscopic description for polarization in particle scattering. Physical review. C. 100(6). 44 indexed citations
14.
Cao, Shanshan, Long-Gang Pang, Tan Luo, et al.. (2017). RAA vs. v2 of heavy and light hadrons within a linear Boltzmann transport model. Nuclear and Particle Physics Proceedings. 289-290. 217–220. 12 indexed citations
15.
Deng, Wei-Tian, Xin-Nian Wang, & Rong Xu. (2010). Hadron production in $p+p$, $p+Pb$ and $Pb+Pb$ collisions at the LHC energies with HIJING2.0 model. arXiv (Cornell University). 2 indexed citations
16.
Casalderrey-Solana, Jorge & Xin-Nian Wang. (2008). Energy dependence of jet transport parameter and parton saturation in quark-gluon \nplasma. eScholarship (California Digital Library). 62 indexed citations
17.
Wang, Xin-Nian. (2003). Probe Initial Parton Density and Formation Time via Jet Quenching. 7 indexed citations
18.
Wang, Enke & Xin-Nian Wang. (2002). Jet Tomography of Dense and Nuclear Matter. arXiv (Cornell University). 2 indexed citations
19.
Wang, Xin-Nian. (2002). Modified Fragmentation Function and Jet Quenching at RHIC. 4 indexed citations
20.
Wang, Xin-Nian & Miklós Gyulassy. (1990). Jets in Relativistic Heavy Ion Collisions. eScholarship (California Digital Library). 2 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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