Long-Gang Pang

3.8k citations
69 papers · 2.3k indexed · 1 hit paper · h-index 26
Topics
High-Energy Particle Collisions Research (59 papers)Particle physics theoretical and experimental studies (53 papers)Quantum Chromodynamics and Particle Interactions (50 papers)
Journals
Physical Review LettersNature CommunicationsSHILAP Revista de lepidopterología

In The Last Decade

Long-Gang Pang

64 papers receiving 2.2k citations

Hit Papers

Colloquium: Machine learning in nuclear physics202220262023202420224080120

Peers

Long-Gang Pang
Comparison fields: 5 of 66
  • Nuclear and High Energy Physics 2.1k
  • Astronomy and Astrophysics 343
  • Atomic and Molecular Physics, and Optics 222
  • Aerospace Engineering 212
  • Radiation 91
Replace O. E. ̃Garcia with:
O. E. ̃Garcia Norway
D. Schiff France
R. M. Weiner Germany
R. Baier Germany
H. Kruse United States
D. Q. Lamb United States
Ronald Kleiss Netherlands
Yuri L. Dokshitzer Russia
A.H. Kritz United States
G. Tarlé United States
Long-Gang Pang relative to O. E. ̃Garcia Norway O. E. ̃Garcia's profile →
Citations per field
00.5×
O. E. ̃Garcia · 1×
Citations per year

Countries citing papers authored by Long-Gang Pang

Since Specialization
Citations

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

Fields of papers citing papers by Long-Gang Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Long-Gang Pang. 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 Long-Gang Pang. The network helps show where Long-Gang Pang may publish in the future.

Co-authorship network of co-authors of Long-Gang Pang

This figure shows the co-authorship network connecting the top 25 collaborators of Long-Gang Pang. A scholar is included among the top collaborators of Long-Gang Pang 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 Long-Gang Pang. Long-Gang Pang 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
#WorkIndexed citations
1 0
2 0
3 1
4 6
5 6
6 62
7 9
8 50
9 3
10 20
11 10
12
Colloquium: Machine learning in nuclear physicsbreakdown →
140
13 118
14 31
15 20
16 125
17 12
18 1
19
An EoS-meter of QCD transition from deep learning
1
20 142

About Long-Gang Pang

Long-Gang Pang is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Radiation, having authored 69 papers that have together received 2.3k indexed citations. Recurring topics across this work include High-Energy Particle Collisions Research (59 papers), Particle physics theoretical and experimental studies (53 papers) and Quantum Chromodynamics and Particle Interactions (50 papers). The work is most often cited by research in Nuclear and High Energy Physics (2.1k citations), Astronomy and Astrophysics (343 citations) and Radiation (91 citations). Long-Gang Pang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xin-Nian Wang, Qun Wang, Hannah Petersen, Kai Zhou, Wei Chen, Guang-You Qin, Yayun He, Tan Luo, Hui Li and Xiao‐Liang Xia. Their work appears in journals such as Physical Review Letters, Nature Communications and SHILAP Revista de lepidopterología.

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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