Yinlai Jiang

882 total citations
95 papers, 542 citations indexed

About

Yinlai Jiang is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Yinlai Jiang has authored 95 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Biomedical Engineering, 33 papers in Cognitive Neuroscience and 27 papers in Cellular and Molecular Neuroscience. Recurrent topics in Yinlai Jiang's work include Muscle activation and electromyography studies (60 papers), Neuroscience and Neural Engineering (27 papers) and Robot Manipulation and Learning (22 papers). Yinlai Jiang is often cited by papers focused on Muscle activation and electromyography studies (60 papers), Neuroscience and Neural Engineering (27 papers) and Robot Manipulation and Learning (22 papers). Yinlai Jiang collaborates with scholars based in Japan, China and Switzerland. Yinlai Jiang's co-authors include Hiroshi Yokoi, Wenyang Li, Shuoyu Wang, Yong Xu, Isao Hayashi, Yuta Murai, Bao‐Liang Lu, Ryu Kato, Junyou Yang and Guanglin Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Sensors.

In The Last Decade

Yinlai Jiang

81 papers receiving 524 citations

Peers

Yinlai Jiang
Comparison fields: 5 of 78
  • Biomedical Engineering 397
  • Control and Systems Engineering 159
  • Cognitive Neuroscience 143
  • Cellular and Molecular Neuroscience 106
  • Human-Computer Interaction 56
Replace Yikun Gu with:
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Tomoya Tamei Japan
Risto Kõiva Germany
Eric Rombokas United States
Thilina Dulantha Lalitharatne Sri Lanka
Abdeldjallil Naceri Germany
Zhengkun Yi China
Anany Dwivedi New Zealand
Jianhua Shan China
Yikun Gu China View profile →
Citations per field, relative to Yinlai Jiang
Yinlai Jiang · 1×
Citations per year, relative to Yinlai Jiang
Yinlai Jiang · 1×

Countries citing papers authored by Yinlai Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Yinlai Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yinlai Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Yinlai Jiang. A scholar is included among the top collaborators of Yinlai Jiang 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 Yinlai Jiang. Yinlai Jiang 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 1
4 0
5 18
6 0
7 3
8 5
9 0
10 2
11 18
12 15
13 0
14 32
15 8
16 1
17 2
18 2
19
Association between Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) and Components of Metabolic Syndrome in Young Chinese Men
1
20
Knowledge Acquisition from Motion of Evacuation Instruction Using Singular Value Decomposition
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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