Jaeil Bai

2.0k citations
37 papers · 1.7k · h-index 23

Impact in

Papers in

    • Graphene research and applications 10
    • Material Dynamics and Properties 10
    • Diamond and Carbon-based Materials Research 4
    • Nanopore and Nanochannel Transport Studies 7
    • Nanowire Synthesis and Applications 4

Jaeil Bai

35 papers receiving 1.6k citations

Peers

Jaeil Bai
Comparison fields: 5 of 71
  • Materials Chemistry 1.0k
  • Environmental Chemistry 204
  • Atomic and Molecular Physics, and Optics 531
  • Atmospheric Science 278
  • Biomedical Engineering 629
Replace Eva G. Noya with:
Eva G. Noya Spain
J. M. D. MacElroy Ireland
Jonathan G. Harris United States
Ding Pan China
Annika Lenz Sweden
G. T. Gao United States
E. N. Brodskaya Russia
Guillermo Román‐Pérez Spain
Gustavo A. Chapela Mexico
Tetsuji Kume Japan
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Citations per field
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Citations per year

Countries citing papers authored by Jaeil Bai

Since Specialization
Citations

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

Fields of papers citing papers by Jaeil Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jaeil Bai, 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 Jaeil Bai Line = papers co-authored together Jaeil Bai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006171
2 2012127
3 2014121
4 2004106
5 201592
6 201091
7 200988
8 201486
9 200568
10 200765
11 200563
12 200753
13 200352
14 200352
15 201450
16 201042
17 201839
18 201738
19 201932
20 201830

About Jaeil Bai

Jaeil Bai is a scholar working on Materials Chemistry, Biomedical Engineering, Atomic and Molecular Physics, and Optics, Environmental Chemistry and Atmospheric Science, having authored 37 papers that have together received 1.7k indexed citations. Recurring topics across this work include Graphene research and applications (10 papers), Material Dynamics and Properties (10 papers), Methane Hydrates and Related Phenomena (8 papers), Nanopore and Nanochannel Transport Studies (7 papers), Theoretical and Computational Physics (5 papers), Quantum, superfluid, helium dynamics (4 papers), Nanowire Synthesis and Applications (4 papers) and Diamond and Carbon-based Materials Research (4 papers). The work is most often cited by research in Materials Chemistry (1.0k citations), Environmental Chemistry (204 citations), Atomic and Molecular Physics, and Optics (531 citations), Atmospheric Science (278 citations) and Biomedical Engineering (629 citations). Jaeil Bai has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Xiao Cheng Zeng, Wenhui Zhao, Jun Wang, Jinlong Yang, Lu Wang, Joseph S. Francisco, Soohaeng Yoo, HengAn Wu, YinBo Zhu and C. Austen Angell. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Chemical Physics, The Journal of Physical Chemistry C, Journal of the American Chemical Society and Nature Communications.

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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