Junlin Wang

934 citations
62 papers · 603 · h-index 13

Impact in

Papers in

    • Muscle activation and electromyography studies 6
    • Advanced Surface Polishing Techniques 5
    • Biomedical and Engineering Education 3
    • Topic Modeling 5
    • Sentiment Analysis and Opinion Mining 3
    • Advanced Text Analysis Techniques 3

Junlin Wang

56 papers receiving 592 citations

Peers

Junlin Wang
Comparison fields: 5 of 137
  • Rehabilitation 60
  • Biomedical Engineering 184
  • Analytical Chemistry 40
  • Artificial Intelligence 122
  • Complementary and alternative medicine 19
Replace K R Venugopal with:
K R Venugopal India
Jiamiao Liu China
Matthias Ring Germany
Jiaqi Zou China
Young In Kim South Korea
Qi Lan China
Alireza Akhbardeh United States
Qinghua He China
Zhihui Wang China
Megha Agarwal India
Junlin Wang relative to K R Venugopal India K R Venugopal's profile →
Citations per field
00.5×
K R Venugopal · 1×
Citations per year

Countries citing papers authored by Junlin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Junlin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018111
2 201970
3 202143
4 201440
5 202230
6 202030
7 201826
8 201824
9 201917
10 201916
11 202316
12 202414
13 201713
14 201111
15 202311
16 201911
17 20229
18 20229
19 20127
20 20236

About Junlin Wang

Junlin Wang is a scholar working on Biomedical Engineering, Artificial Intelligence, Mechanical Engineering, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 62 papers that have together received 603 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (6 papers), Advanced Surface Polishing Techniques (5 papers), Topic Modeling (5 papers), EEG and Brain-Computer Interfaces (5 papers), Neuroscience and Neural Engineering (4 papers), Sentiment Analysis and Opinion Mining (3 papers), Advanced Text Analysis Techniques (3 papers) and Biomedical and Engineering Education (3 papers). The work is most often cited by research in Rehabilitation (60 citations), Biomedical Engineering (184 citations), Analytical Chemistry (40 citations), Artificial Intelligence (122 citations) and Complementary and alternative medicine (19 citations). Junlin Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Sameer Singh, Eric Wallace, Shuangyue Yu, Hao Su, Tzu-Hao Huang, Alessandra Carriero, Sanjay Subramanian, Matt Gardner, Yanjun Li and Mooyeon Oh‐Park. Their work appears in journals such as Frontiers in Pediatrics, IEEE Robotics and Automation Letters, Construction and Building Materials, Journal of the American Chemical Society and Journal of Pediatric Hematology/Oncology.

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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