Gang Ma

516 total citations
37 papers, 348 citations indexed

About

Gang Ma is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Cognitive Neuroscience. According to data from OpenAlex, Gang Ma has authored 37 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Biomedical Engineering, 14 papers in Electrical and Electronic Engineering and 7 papers in Cognitive Neuroscience. Recurrent topics in Gang Ma's work include Electrical and Bioimpedance Tomography (12 papers), Advanced Sensor and Energy Harvesting Materials (9 papers) and Muscle activation and electromyography studies (7 papers). Gang Ma is often cited by papers focused on Electrical and Bioimpedance Tomography (12 papers), Advanced Sensor and Energy Harvesting Materials (9 papers) and Muscle activation and electromyography studies (7 papers). Gang Ma collaborates with scholars based in China, Australia and United Kingdom. Gang Ma's co-authors include Xiaojie Wang, J. P. Zheng, Xuefeng Song, Delu Wang, Shifei Ding, Li Xu, Xuan Wu, Yun Liu, Zhongzhi Shi and Yun Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and ACS Applied Materials & Interfaces.

In The Last Decade

Gang Ma

33 papers receiving 340 citations

Peers

Gang Ma
Comparison fields: 5 of 90
  • Biomedical Engineering 119
  • Electrical and Electronic Engineering 113
  • Cognitive Neuroscience 45
  • Economics and Econometrics 43
  • Environmental Engineering 41
Replace Lei Cheng with:
Lei Cheng China
Quan Yang China
Trung Le United States
Jenny Cifuentes Spain
Akkarapol Sa-ngasoongsong United States
Juan Yang China
Miguel A. Becerra Colombia
Zeeshan Shahid Malaysia
Apeksha Aggarwal India
Lei Cheng China View profile →
Citations per field, relative to Gang Ma
Gang Ma · 1×
Citations per year, relative to Gang Ma
Gang Ma · 1×

Countries citing papers authored by Gang Ma

Since Specialization
Citations

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

Fields of papers citing papers by Gang Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Gang Ma. A scholar is included among the top collaborators of Gang Ma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gang Ma. Gang Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 3
4 2
5 0
6 1
7 5
8 1
9 5
10 1
11 1
12 1
13 45
14
Exploration of standardized clinical skills instruction video based on QR code management in clinical hospital teaching.
3
15 35
16 0
17 13
18 1
19 4
20 2

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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