M. Bai

64 papers receiving 533 citations

Peers

M. Bai
Comparison fields: 5 of 79
  • Aerospace Engineering 182
  • Nuclear and High Energy Physics 73
  • Electrical and Electronic Engineering 281
  • Biomedical Engineering 178
  • Materials Chemistry 133
Replace Ching-Shiang Hwang with:
Ching-Shiang Hwang Taiwan
Shigeki Takayama Japan
K. Koyanagi Japan
John Joseph United States
H. Gerstenberg Germany
Jianjun Yang China
Hendrikus J.G. Krooshoop Netherlands
Ernst Wolfgang Stautner United States
Denis B. Zolotukhin Russia
Robert Kowalczyk United States
M. Bai relative to Ching-Shiang Hwang Taiwan Ching-Shiang Hwang's profile →
Citations per field
00.5×10×15×19×
Ching-Shiang Hwang · 1×
Citations per year

Countries citing papers authored by M. Bai

Since Specialization
Citations

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

Fields of papers citing papers by M. Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201169
2 202352
3 202339
4 202033
5 199731
6 202426
7 201826
8 200526
9 200717
10 201314
11 199614
12
A detrimental mitochondrial-nuclear interaction causes cytoplasmic male sterility in rice. Nat Genet
201314
13 202413
14 201612
15 200812
16 20059
17 20029
18 20048
19 20027
20 20077

About M. Bai

M. Bai is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering, Biomedical Engineering, Nuclear and High Energy Physics and Materials Chemistry, having authored 77 papers that have together received 567 indexed citations. Recurring topics across this work include Particle Accelerators and Free-Electron Lasers (47 papers), Particle accelerators and beam dynamics (45 papers), Superconducting Materials and Applications (26 papers), Ferroelectric and Piezoelectric Materials (11 papers), Magnetic confinement fusion research (11 papers), Gyrotron and Vacuum Electronics Research (8 papers), Dielectric materials and actuators (7 papers) and Microwave Dielectric Ceramics Synthesis (7 papers). The work is most often cited by research in Aerospace Engineering (182 citations), Nuclear and High Energy Physics (73 citations), Electrical and Electronic Engineering (281 citations), Biomedical Engineering (178 citations) and Materials Chemistry (133 citations). M. Bai has collaborated with scholars based in United States, China and Japan. Frequent co-authors include T. Roser, Xiaojie Lou, Bin Liu, Wenjing Qiao, Yangfei Gao, Yanhua Hu, Yuan Jiang, Qinyong Ma, Xiaopei Zhu and H. Huang. Their work appears in journals such as Physical Review Special Topics - Accelerators and Beams, Ceramics International, Scripta Materialia, Journal of Alloys and Compounds and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

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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