Ge Ma

59 papers receiving 1.4k citations

Peers

Ge Ma
Comparison fields: 5 of 77
  • Renewable Energy, Sustainability and the Environment 753
  • Catalysis 86
  • Materials Chemistry 559
  • Electronic, Optical and Magnetic Materials 207
  • Electrical and Electronic Engineering 612
Replace Shalini Rodrigues with:
Shalini Rodrigues United States
L. Parashuram India
Mahmood Ul Haq China
Jun Gong China
Yoshitsugu Sone Japan
Lichao Wang China
Hui Miao China
Yanzhi Wang China
Mingyu Pi China
Ziyu Zhang China
Ge Ma relative to Shalini Rodrigues United States Shalini Rodrigues's profile →
Citations per field
00.5×9.8×
Shalini Rodrigues · 1×
Citations per year

Countries citing papers authored by Ge Ma

Since Specialization
Citations

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

Fields of papers citing papers by Ge Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019125
2 2023103
3 201992
4 202167
5 201366
6 202165
7 201564
8 202159
9 202246
10 202144
11 201643
12 201841
13 201941
14 201437
15 201937
16 202131
17 201430
18 201928
19 201927
20 202126

About Ge Ma

Ge Ma is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment, Materials Chemistry and Computer Vision and Pattern Recognition, having authored 66 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Photocatalysis Techniques (11 papers), Advanced battery technologies research (10 papers), Electrocatalysts for Energy Conversion (8 papers), Adaptive Control of Nonlinear Systems (7 papers), Advanced biosensing and bioanalysis techniques (5 papers), Image and Signal Denoising Methods (5 papers), Sparse and Compressive Sensing Techniques (4 papers) and Advancements in Battery Materials (4 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (753 citations), Catalysis (86 citations), Materials Chemistry (559 citations), Electronic, Optical and Magnetic Materials (207 citations) and Electrical and Electronic Engineering (612 citations). Ge Ma has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xin Wang, Guofu Zhou, Xiaoyu Zhang, Liangchao Li, Yu Chen, Hong‐Chang Yao, Lingling Shui, Jingyi Zhu, Lingling Shui and Yongguang Zhang. Their work appears in journals such as Applied Surface Science, IEEE Access, Chemical Engineering Journal, ACS Applied Materials & Interfaces and The Journal of Physical Chemistry B.

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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