J. G. Bian

3.8k total citations
2 papers, 27 citations indexed

About

J. G. Bian is a scholar working on Nuclear and High Energy Physics, Infectious Diseases and Organic Chemistry. According to data from OpenAlex, J. G. Bian has authored 2 papers receiving a total of 27 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Nuclear and High Energy Physics, 0 papers in Infectious Diseases and 0 papers in Organic Chemistry. Recurrent topics in J. G. Bian's work include Quantum Chromodynamics and Particle Interactions (2 papers), Particle physics theoretical and experimental studies (2 papers) and High-Energy Particle Collisions Research (1 paper). J. G. Bian is often cited by papers focused on Quantum Chromodynamics and Particle Interactions (2 papers), Particle physics theoretical and experimental studies (2 papers) and High-Energy Particle Collisions Research (1 paper). J. G. Bian collaborates with scholars based in United Kingdom and China. J. G. Bian's co-authors include J. Z. Bai, J. F. Chang, Y. Ban, D. V. Bugg, H.F. Chen, F. De Mori, X. Cai, X.D. Cai, X. Z. Cui and C. D. Fu and has published in prestigious journals such as Physics Letters B and arXiv (Cornell University).

In The Last Decade

J. G. Bian

2 papers receiving 27 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. G. Bian United Kingdom 2 27 3 1 2 27
J. C. Dunlop United States 2 26 1.0× 3 1.0× 3 27
D. Krop United States 2 29 1.1× 3 1.0× 1 1.0× 2 30
Tulika Tripathy India 4 34 1.3× 3 1.0× 5 35
P. G. Thies United States 2 28 1.0× 3 1.0× 2 28
M. Athanas United States 2 21 0.8× 3 1.0× 4 21
Yu. Efremenko United States 3 26 1.0× 3 1.0× 7 27
S. Márka United States 2 28 1.0× 3 1.0× 3 28
S. von Dombrowski United States 2 30 1.1× 3 1.0× 3 30
W. K. Brooks United States 2 19 0.7× 3 1.0× 3 20
V. V. Lipaev Russia 2 27 1.0× 2 0.7× 1 1.0× 6 27

Countries citing papers authored by J. G. Bian

Since Specialization
Citations

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

Fields of papers citing papers by J. G. Bian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. G. Bian

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

All Works

2 of 2 papers shown
1.
Li, Xiaonan, J. Z. Bai, J. G. Bian, et al.. (2006). Pseudoscalar production at {omega}{omega} threshold in J/{psi}{yields}{gamma}{omega}{omega}. arXiv (Cornell University). 73(11). 8 indexed citations
2.
Mori, F. De, J. Z. Bai, Y. Ban, et al.. (2004). Study of J/ψ→ωK+K−J/ψ→ωK+K−. Physics Letters B. 603(3-4). 138–145. 19 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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