Junlin Wang

977 citations
63 papers · 651 · h-index 13

Impact in

Papers in

Junlin Wang

57 papers receiving 641 citations

Peers

Junlin Wang
Comparison fields: 5 of 137
  • Rehabilitation 59
  • Biomedical Engineering 189
  • Analytical Chemistry 40
  • Artificial Intelligence 131
  • Complementary and alternative medicine 19
Replace K R Venugopal with:
K R Venugopal India
Gustavo Alonso Mexico
Jiamiao Liu China
Frédéric Flament France
Qingbo Li China
Pei-Chi Hsiao Taiwan
Tianfeng Zhang China
Zhihui Wang China
Qi Lan China
Yaping Zhao China
Junlin Wang relative to K R Venugopal India K R Venugopal's profile →
Citations per field
00.5×2×2.8×
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 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018115
2 201977
3 202145
4 201442
5 202233
6 202031
7 201827
8 201824
9 201917
10 201917
11 202316
12 202416
13 201714
14 201113
15 202312
16 201811
17 201911
18 20229
19 20229
20 20258

About Junlin Wang

Junlin Wang is a scholar working on Biomedical Engineering, Rehabilitation, Artificial Intelligence, Cognitive Neuroscience and Neurology, having authored 63 papers that have together received 651 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), Potato Plant Research (3 papers), Sentiment Analysis and Opinion Mining (3 papers) and Biomedical and Engineering Education (3 papers). The work is most often cited by research in Rehabilitation (59 citations), Biomedical Engineering (189 citations), Analytical Chemistry (40 citations), Artificial Intelligence (131 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 Eric W. Wallace, Sameer Kumar Singh, Tzu-Hao Huang, Shuangyue Yu, Hao Su, Alessandra Carriero, Xiao Li, Sanjay Subramanian, Mooyeon Oh‐Park and Yanjun Li. Their work appears in journals such as Journal of the American Chemical Society, Frontiers in Bioengineering and Biotechnology, Food Chemistry, IEEE Robotics and Automation Letters and The Science of The Total Environment.

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.

Explore authors with similar magnitude of impact