Jun Gao

7.6k total citations · 2 hit papers
151 papers, 4.1k citations indexed

About

Jun Gao is a scholar working on Nuclear and High Energy Physics, Atomic and Molecular Physics, and Optics and Artificial Intelligence. According to data from OpenAlex, Jun Gao has authored 151 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Nuclear and High Energy Physics, 36 papers in Atomic and Molecular Physics, and Optics and 31 papers in Artificial Intelligence. Recurrent topics in Jun Gao's work include Particle physics theoretical and experimental studies (64 papers), High-Energy Particle Collisions Research (59 papers) and Quantum Chromodynamics and Particle Interactions (47 papers). Jun Gao is often cited by papers focused on Particle physics theoretical and experimental studies (64 papers), High-Energy Particle Collisions Research (59 papers) and Quantum Chromodynamics and Particle Interactions (47 papers). Jun Gao collaborates with scholars based in China, United States and United Kingdom. Jun Gao's co-authors include C.–P. Yuan, Pavel Nadolsky, Marco Guzzi, J. Huston, Daniel R. Stump, Jon Pumplin, Tie-Jiun Hou, Hua Xing Zhu, Sayipjamal Dulat and Carl R. Schmidt and has published in prestigious journals such as Physical Review Letters, Nucleic Acids Research and Advanced Materials.

In The Last Decade

Jun Gao

140 papers receiving 4.0k citations

Hit Papers

New parton distribution functions from a global analysis ... 2016 2026 2019 2022 2016 2021 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
Jun Gao China 29 2.2k 862 585 509 460 151 4.1k
H. Suzuki Japan 36 627 0.3× 1.1k 1.2× 425 0.7× 142 0.3× 1.0k 2.3× 287 4.2k
Alvaro Sanchez Spain 41 239 0.1× 1.5k 1.8× 1.6k 2.7× 50 0.1× 629 1.4× 171 5.0k
Katsuhiko Miyamoto Japan 31 488 0.2× 2.3k 2.6× 1.2k 2.1× 54 0.1× 283 0.6× 200 3.7k
V. Ivanchenko Russia 33 1.1k 0.5× 243 0.3× 199 0.3× 52 0.1× 599 1.3× 205 4.2k
Vladislav V. Yakovlev United States 39 244 0.1× 2.4k 2.8× 1.4k 2.4× 145 0.3× 213 0.5× 295 4.8k
Hongru Ma China 23 358 0.2× 414 0.5× 442 0.8× 33 0.1× 429 0.9× 142 2.0k
Yang Zhang China 31 1.5k 0.7× 80 0.1× 99 0.2× 147 0.3× 171 0.4× 125 2.5k
Kazunori Takahashi Japan 33 651 0.3× 900 1.0× 241 0.4× 301 0.6× 132 0.3× 171 3.1k
Shu‐Wei Huang United States 30 261 0.1× 2.3k 2.7× 424 0.7× 56 0.1× 158 0.3× 112 3.0k
Takahiro Shimada Japan 32 397 0.2× 460 0.5× 773 1.3× 16 0.0× 2.1k 4.6× 241 3.3k

Countries citing papers authored by Jun Gao

Since Specialization
Citations

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

Fields of papers citing papers by Jun Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Gao. A scholar is included among the top collaborators of Jun Gao 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 Jun Gao. Jun Gao 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.
Gao, Jun, et al.. (2024). Simultaneous Determination of Fragmentation Functions and Test on Momentum Sum Rule. Physical Review Letters. 132(26). 261903–261903. 12 indexed citations
2.
Tang, Hao, Zhen Feng, Tianyu Wang, et al.. (2024). Simulating photosynthetic energy transport on a photonic network. npj Quantum Information. 10(1). 4 indexed citations
3.
Gao, Jun, et al.. (2024). Determining SMEFT and PDF parameters simultaneously based on the CTEQ-TEA framework. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 291–291. 1 indexed citations
4.
Zhou, Bin, et al.. (2023). Automated calculation of jet fragmentation at NLO in QCD. Journal of High Energy Physics. 2023(9). 11 indexed citations
5.
Gao, Jun, et al.. (2023). Simultaneous CTEQ-TEA extraction of PDFs and SMEFT parameters from jet and $$ t\overline{t} $$ data. Journal of High Energy Physics. 2023(5). 17 indexed citations
6.
Gao, Jun, et al.. (2023). Constraint for a light charged Higgs boson and its neutral partners from top quark pairs at the LHC. Physical review. D. 108(3). 2 indexed citations
7.
Tang, Hao, Tianyu Wang, Zhen Feng, et al.. (2022). Experimental quantum simulation of dynamic localization on curved photonic lattices. Photonics Research. 10(6). 1430–1430. 6 indexed citations
8.
Wang, Yao, Yong‐Heng Lu, Jun Gao, et al.. (2021). Experimental topological photonic superlattice. Physical review. B.. 103(1). 14 indexed citations
9.
Jiao, Zhi‐Qiang, Stefano Longhi, Xiao‐Wei Wang, et al.. (2021). Experimentally Detecting Quantized Zak Phases without Chiral Symmetry in Photonic Lattices. Physical Review Letters. 127(14). 147401–147401. 70 indexed citations
10.
Wang, William Yi, Bin Tang, De-Ye Lin, et al.. (2020). A brief review of data-driven ICME for intelligently discovering advanced structural metal materials: Insight into atomic and electronic building blocks. Journal of materials research/Pratt's guide to venture capital sources. 35(8). 872–889. 28 indexed citations
11.
Zou, Chengxiong, Jun Gao, Haisheng Wang, et al.. (2020). Revealing foundations of the intergranular corrosion of 5XXX and 6XXX Al alloys. Materials Letters. 271. 127767–127767. 17 indexed citations
12.
Wang, Yao, Yong‐Heng Lu, Xiao‐Ming Zhang, et al.. (2020). Integrated Quantum-Walk Structure and NAND Tree on a Photonic Chip. Physical Review Letters. 125(16). 160502–160502. 9 indexed citations
13.
Tang, Hao, Zhen Feng, Yao Wang, et al.. (2020). Quantum fast hitting on glued trees mapped on a photonic chip. Optica. 7(6). 613–613. 16 indexed citations
14.
Wang, Yao, Yong‐Heng Lu, Jun Gao, et al.. (2019). Topological protection of two-photon quantum correlation on a photonic chip. Optica. 6(8). 955–955. 75 indexed citations
15.
Wang, William Yi, Chengxiong Zou, De-Ye Lin, et al.. (2019). Interstitial triggered grain boundary embrittlement of Al–X (X = H, N and O). Computational Materials Science. 163. 241–247. 9 indexed citations
16.
Hu, Cheng-Qiu, Jun Gao, Zhi‐Qiang Jiao, et al.. (2019). Transmission of photonic polarization states through 55-m water: towards air-to-sea quantum communication. Photonics Research. 7(8). A40–A40. 43 indexed citations
17.
Sun, Jing, William Yi Wang, Chengxiong Zou, et al.. (2019). Pitting Corrosion of Natural Aged Al–Mg–Si Extrusion Profile. Materials. 12(7). 1081–1081. 9 indexed citations
18.
Li, Hang, et al.. (2018). Direct observation of broadband nonclassical states in a room-temperature light–matter interface. npj Quantum Information. 4(1). 11 indexed citations
19.
Gao, Jun, Lu‐Feng Qiao, Hang Li, et al.. (2018). A broadband DLCZ quantum memory in room-temperature atoms. Communications Physics. 1(1). 33 indexed citations
20.
Gao, Jun, Zhi‐Qiang Jiao, Cheng-Qiu Hu, et al.. (2018). Experimental test of the relation between coherence and path information. Communications Physics. 1(1). 13 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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