G. M. Wang

1.4k total citations · 1 hit paper
8 papers, 945 citations indexed

About

G. M. Wang is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Nature and Landscape Conservation. According to data from OpenAlex, G. M. Wang has authored 8 papers receiving a total of 945 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Statistical and Nonlinear Physics, 5 papers in Atomic and Molecular Physics, and Optics and 1 paper in Nature and Landscape Conservation. Recurrent topics in G. M. Wang's work include Advanced Thermodynamics and Statistical Mechanics (6 papers), Quantum Electrodynamics and Casimir Effect (4 papers) and Quantum Mechanics and Applications (4 papers). G. M. Wang is often cited by papers focused on Advanced Thermodynamics and Statistical Mechanics (6 papers), Quantum Electrodynamics and Casimir Effect (4 papers) and Quantum Mechanics and Applications (4 papers). G. M. Wang collaborates with scholars based in Australia, China and United States. G. M. Wang's co-authors include E. M. Sevick, Denis J. Evans, Debra J. Searles, Emil Mittag, D. M. Carberry, James C. Reid, Ranganathan Prabhakar, D. R. M. Williams, J. C. Reid and Stephen R. Williams and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology.

In The Last Decade

G. M. Wang

7 papers receiving 926 citations

Hit Papers

Experimental Demonstration of Violations of the Second La... 2002 2026 2010 2018 2002 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. M. Wang Australia 6 788 443 171 124 116 8 945
Valentin Blickle Germany 11 827 1.0× 434 1.0× 139 0.8× 130 1.0× 144 1.2× 13 1.0k
Emil Mittag Australia 6 579 0.7× 337 0.8× 128 0.7× 93 0.8× 76 0.7× 8 810
Patrick Pietzonka Germany 12 840 1.1× 320 0.7× 87 0.5× 86 0.7× 158 1.4× 16 918
A. Pérez-Madrid Spain 15 946 1.2× 416 0.9× 252 1.5× 66 0.5× 141 1.2× 70 1.3k
Matteo Polettini Luxembourg 14 577 0.7× 152 0.3× 54 0.3× 93 0.8× 83 0.7× 27 646
David Andrieux Belgium 12 659 0.8× 353 0.8× 46 0.3× 85 0.7× 69 0.6× 19 773
Gianmaria Falasco Luxembourg 15 492 0.6× 159 0.4× 76 0.4× 48 0.4× 51 0.4× 31 608
Juan Ruben Gomez-Solano Mexico 15 452 0.6× 331 0.7× 285 1.7× 59 0.5× 35 0.3× 29 916
Alessandro Sarracino Italy 20 687 0.9× 229 0.5× 157 0.9× 47 0.4× 35 0.3× 58 1.1k
A. Lemarchand France 18 420 0.5× 206 0.5× 107 0.6× 70 0.6× 31 0.3× 110 1.0k

Countries citing papers authored by G. M. Wang

Since Specialization
Citations

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

Fields of papers citing papers by G. M. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. M. 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 G. M. Wang. The network helps show where G. M. Wang may publish in the future.

Co-authorship network of co-authors of G. M. Wang

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

All Works

8 of 8 papers shown
2.
Wang, G. M., Jing‐Fang Yang, Chuang‐Dao Jiang, et al.. (2013). Challenge of weed risk assessment (WRA) for ecological restoration in China: The case of Rhus typhina L. and the new officially released weed risk assessment system. Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology. 147(4). 1166–1174. 4 indexed citations
3.
Gao, Yongxiang, G. M. Wang, D. R. M. Williams, et al.. (2012). Non-equilibrium umbrella sampling applied to force spectroscopy of soft matter. The Journal of Chemical Physics. 136(5). 54902–54902. 7 indexed citations
4.
Wang, G. M., Ranganathan Prabhakar, & E. M. Sevick. (2009). Hydrodynamic Mobility of an Optically Trapped Colloidal Particle near Fluid-Fluid Interfaces. Physical Review Letters. 103(24). 248303–248303. 43 indexed citations
5.
Wang, G. M., J. C. Reid, D. M. Carberry, et al.. (2005). Experimental study of the fluctuation theorem in a nonequilibrium steady state. Physical Review E. 71(4). 46142–46142. 65 indexed citations
6.
Reid, James C., D. M. Carberry, G. M. Wang, et al.. (2004). Reversibility in nonequilibrium trajectories of an optically trapped particle. Physical Review E. 70(1). 16111–16111. 29 indexed citations
7.
Carberry, D. M., James C. Reid, G. M. Wang, et al.. (2004). Fluctuations and Irreversibility: An Experimental Demonstration of a Second-Law-Like Theorem Using a Colloidal Particle Held in an Optical Trap. Physical Review Letters. 92(14). 140601–140601. 180 indexed citations
8.
Wang, G. M., E. M. Sevick, Emil Mittag, Debra J. Searles, & Denis J. Evans. (2002). Experimental Demonstration of Violations of the Second Law of Thermodynamics for Small Systems and Short Time Scales. Physical Review Letters. 89(5). 50601–50601. 617 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.

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