Ruichen Liu

37 papers receiving 1.1k citations

Ruichen Liu's Hit Papers

Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges 2021 · 471 citations
4710+1+3Years since publication100200300400

Peers

Ruichen Liu
Comparison fields: 5 of 155
  • Computer Vision and Pattern Recognition 198
  • Immunology 190
  • Physical Therapy, Sports Therapy and Rehabilitation 29
  • Human-Computer Interaction 38
  • Aquatic Science 38
Replace Chao Xu with:
Chao Xu China
Ji Ma United States
Ziyu Liu China
Huining Li China
Jianwei Lu China
Jung Won Kang South Korea
Lijie Yang China
Peng Deng China
Xiaogang Xu China
Pei Yang China
Ruichen Liu relative to Chao Xu China Chao Xu's profile →
Citations per field
00.5×7.6×
Chao Xu · 1×
Citations per year

Countries citing papers authored by Ruichen Liu

Since Specialization
Citations

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

Fields of papers citing papers by Ruichen Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges
Hit paper breakdown →
2021471
2 2019193
3 202070
4 202257
5 201952
6 201649
7 202238
8 202224
9 202021
10 202216
11 202515
12 202114
13 202210
14 20239
15 20239
16 19749
17 20228
18 20248
19 20216
20 20216

About Ruichen Liu

Ruichen Liu is a scholar working on Biomedical Engineering, Molecular Biology, Endocrinology, Diabetes and Metabolism, Electrical and Electronic Engineering and Materials Chemistry, having authored 43 papers that have together received 1.1k indexed citations. Recurring topics across this work include Eicosanoids and Hypertension Pharmacology (4 papers), Gait Recognition and Analysis (4 papers), Machine Learning in Materials Science (4 papers), Balance, Gait, and Falls Prevention (3 papers), Diabetic Foot Ulcer Assessment and Management (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Non-Invasive Vital Sign Monitoring (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (198 citations), Immunology (190 citations), Physical Therapy, Sports Therapy and Rehabilitation (29 citations), Human-Computer Interaction (38 citations) and Aquatic Science (38 citations). Ruichen Liu has collaborated with scholars based in China, United States and Slovenia. Frequent co-authors include Zhelong Wang, Sen Qiu, Hongyu Zhao, Guangwei Liu, Yujing Bi, Qing Yu, Giancarlo Fortino, Long Liu, Yi An and Hongkai Zhao. Their work appears in journals such as Frontiers in Neurology, IEEE Transactions on Human-Machine Systems, European Journal of Medicinal Chemistry, Journal of Pharmaceutical and Biomedical Analysis and Information Fusion.

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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