Jun Shen

3.3k citations
50 papers · 1.2k · h-index 21

Impact in

Papers in

Jun Shen

48 papers receiving 1.2k citations

Peers

Jun Shen
Comparison fields: 5 of 50
  • Atomic and Molecular Physics, and Optics 950
  • Physical and Theoretical Chemistry 160
  • Computational Mathematics 8
  • Spectroscopy 165
  • Inorganic Chemistry 135
Replace Gergely Gidofalvi with:
Gergely Gidofalvi United States
Ajith Perera United States
Daniel Kats Germany
Zoltán Rolik Hungary
Achintya Kumar Dutta India
Fabijan Pavošević United States
Florian A. Bischoff Germany
Lóránt Szegedy Austria
Thomas Kjærgaard Denmark
Paweł Tecmer Poland
Jun Shen relative to Gergely Gidofalvi United States Gergely Gidofalvi's profile →
Citations per field
00.5×1.5×2.0×
Gergely Gidofalvi · 1×
Citations per year

Countries citing papers authored by Jun Shen

Since Specialization
Citations

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

Fields of papers citing papers by Jun Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Shen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jun Shen Line = papers co-authored together Jun Shen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006137
2 202089
3 201376
4 201172
5 201771
6 201260
7 201850
8 201250
9 200839
10 201636
11 202134
12 201733
13 201732
14 200827
15 200926
16 201426
17 201724
18 201922
19 200822
20 200722

About Jun Shen

Jun Shen is a scholar working on Atomic and Molecular Physics, and Optics, Inorganic Chemistry, Materials Chemistry, Physical and Theoretical Chemistry and Atmospheric Science, having authored 50 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Chemical Physics Studies (44 papers), Spectroscopy and Quantum Chemical Studies (27 papers), Inorganic Fluorides and Related Compounds (8 papers), Photochemistry and Electron Transfer Studies (6 papers), Quantum, superfluid, helium dynamics (5 papers), Machine Learning in Materials Science (5 papers), Inorganic Chemistry and Materials (5 papers) and Atmospheric Ozone and Climate (4 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (950 citations), Physical and Theoretical Chemistry (160 citations), Computational Mathematics (8 citations), Spectroscopy (165 citations) and Inorganic Chemistry (135 citations). Jun Shen has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Piotr Piecuch, Shuhua Li, J. Emiliano Deustua, Yuansheng Jiang, Wei Li, Tao Fang, Ilias Magoulas, Enhua Xu, Nicholas P. Bauman and Carlo Bradac. Their work appears in journals such as The Journal of Chemical Physics, Molecular Physics, The Journal of Physical Chemistry A, Journal of Chemical Theory and Computation and Journal of Thermal Analysis and Calorimetry.

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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