Rong Song

4.5k total citations · 1 hit paper
188 papers, 3.4k citations indexed

About

Rong Song is a scholar working on Biomedical Engineering, Rehabilitation and Cognitive Neuroscience. According to data from OpenAlex, Rong Song has authored 188 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Biomedical Engineering, 71 papers in Rehabilitation and 50 papers in Cognitive Neuroscience. Recurrent topics in Rong Song's work include Muscle activation and electromyography studies (99 papers), Stroke Rehabilitation and Recovery (71 papers) and Prosthetics and Rehabilitation Robotics (37 papers). Rong Song is often cited by papers focused on Muscle activation and electromyography studies (99 papers), Stroke Rehabilitation and Recovery (71 papers) and Prosthetics and Rehabilitation Robotics (37 papers). Rong Song collaborates with scholars based in China, Hong Kong and Australia. Rong Song's co-authors include Raymond Kai‐Yu Tong, Xiaoling Hu, Zhijun Li, Le Li, Di Ao, Jinwu Gao, Yu Zhuang, Xiujuan Zheng, Wallace Woon‐Fong Leung and Wei Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Nano and PLoS ONE.

In The Last Decade

Rong Song

176 papers receiving 3.4k citations

Hit Papers

Multi-Sensor Guided Hand Gesture Recognition for a Teleop... 2021 2026 2022 2024 2021 50 100 150

Peers

Rong Song
Comparison fields: 5 of 156
  • Biomedical Engineering 2.0k
  • Rehabilitation 1.2k
  • Cognitive Neuroscience 824
  • Control and Systems Engineering 320
  • Neurology 273
Replace Philippe S. Archambault with:
Philippe S. Archambault Canada
Jiping He United States
Constantinos Mavroidis United States
Osamu Fukuda Japan
Nicola Vitiello Italy
P.H. Chappell United Kingdom
Qining Wang China
Silvia Conforto Italy
Chou‐Ching K. Lin Taiwan
Alessandra Pedrocchi Italy
Philippe S. Archambault Canada View profile →
Citations per field, relative to Rong Song
Rong Song · 1×
Citations per year, relative to Rong Song
Rong Song · 1×

Countries citing papers authored by Rong Song

Since Specialization
Citations

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

Fields of papers citing papers by Rong Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rong Song

This figure shows the co-authorship network connecting the top 25 collaborators of Rong Song. A scholar is included among the top collaborators of Rong Song 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 Rong Song. Rong Song 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 4
4 3
5 3
6 0
7 1
8 2
9 10
10 7
11 55
12
Multi-Sensor Guided Hand Gesture Recognition for a Teleoperated Robot Using a Recurrent Neural Network breakdown →
185
13 40
14 3
15 4
16 2
17 35
18 11
19 2
20 72

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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