M. Gao

1.0k citations
38 papers · 777 · h-index 13

Impact in

Papers in

M. Gao

35 papers receiving 735 citations

Peers

M. Gao
Comparison fields: 5 of 37
  • Atomic and Molecular Physics, and Optics 535
  • Electrical and Electronic Engineering 658
  • Acoustics and Ultrasonics 8
  • Surfaces, Coatings and Films 58
  • Spectroscopy 102
Replace A. R. Reisinger with:
A. R. Reisinger United States
T. Anan Japan
E.C. Larkins United Kingdom
S. Calvez United Kingdom
H. Yokoyama Japan
V. Diadiuk United States
I. Ladany United States
P. Gavrilovič United States
Ajit V. Barve United States
Peter A. Thielen United States
M. Gao relative to A. R. Reisinger United States A. R. Reisinger's profile →
Citations per field
00.5×
A. R. Reisinger · 1×
Citations per year

Countries citing papers authored by M. Gao

Since Specialization
Citations

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

Fields of papers citing papers by M. Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001245
2 2004105
3 200054
4 200051
5 200045
6 200243
7 200031
8 200129
9 200023
10 202420
11 200116
12 200012
13 199912
14 200012
15 200110
16 20009
17 20018
18 20007
19 20016
20 20025

About M. Gao

M. Gao is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Artificial Intelligence, Spectroscopy and Biomedical Engineering, having authored 38 papers that have together received 777 indexed citations. Recurring topics across this work include Semiconductor Quantum Structures and Devices (19 papers), Photonic and Optical Devices (16 papers), Advanced Semiconductor Detectors and Materials (11 papers), Semiconductor Lasers and Optical Devices (11 papers), Advanced Fiber Optic Sensors (6 papers), Nanowire Synthesis and Applications (4 papers), Optical Coatings and Gratings (3 papers) and Quantum Dots Synthesis And Properties (3 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (535 citations), Electrical and Electronic Engineering (658 citations), Acoustics and Ultrasonics (8 citations), Surfaces, Coatings and Films (58 citations) and Spectroscopy (102 citations). M. Gao has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Z. R. Wasilewski, S. Fafard, J. P. McCaffrey, M. Buchanan, E. Dupont, Aidong Shen, H.C. Liu, H. C. Liu, A. G. U. Perera and S. G. Matsik. Their work appears in journals such as Applied Physics Letters, Semiconductor Science and Technology, Optics Communications, IEEE Photonics Technology Letters 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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