Ruichen Liu

34 papers receiving 1.0k citations

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 · 452 citations
4520+1+3Years since publication100200300400

Peers

Ruichen Liu
Comparison fields: 5 of 156
  • Computer Vision and Pattern Recognition 196
  • Immunology 202
  • Human-Computer Interaction 38
  • Physical Therapy, Sports Therapy and Rehabilitation 30
  • Biomedical Engineering 218
Replace Jae-Dong Lee with:
Jae-Dong Lee South Korea
Ji Ma United States
Chen Lin Taiwan
Jung Won Kang South Korea
Jianwei Lu China
Huining Li China
Van-Huy Pham Vietnam
Lijie Yang China
Yue Wen China
Xiaocong Chen China
Ruichen Liu relative to Jae-Dong Lee South Korea Jae-Dong Lee's profile →
Citations per field
00.5×7.5×
Jae-Dong Lee · 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 41 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 →
2021452
2 2019181
3 202065
4 202252
5 201950
6 201648
7 202240
8 202221
9 202021
10 202114
11 202214
12 202512
13 202210
14 20239
15 19749
16 20227
17 20237
18 20247
19 20216
20 20216

About Ruichen Liu

Ruichen Liu is a scholar working on Biomedical Engineering, Molecular Biology, Endocrinology, Diabetes and Metabolism, Physical Therapy, Sports Therapy and Rehabilitation and Biochemistry, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include Balance, Gait, and Falls Prevention (5 papers), Gait Recognition and Analysis (4 papers), Eicosanoids and Hypertension Pharmacology (4 papers), Diabetic Foot Ulcer Assessment and Management (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Machine Learning in Materials Science (3 papers), Free Radicals and Antioxidants (2 papers) and Petroleum Processing and Analysis (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (196 citations), Immunology (202 citations), Human-Computer Interaction (38 citations), Physical Therapy, Sports Therapy and Rehabilitation (30 citations) and Biomedical Engineering (218 citations). Ruichen Liu has collaborated with scholars based in China, United States and Slovenia. Frequent co-authors include Sen Qiu, Zhelong Wang, Hongyu Zhao, Guangwei Liu, Yujing Bi, Qing Yu, Yi An, Hongkai Zhao, Xin Miao and Giancarlo Fortino. Their work appears in journals such as IEEE Transactions on Human-Machine Systems, Information Fusion, Journal of Pharmaceutical and Biomedical Analysis, European Journal of Medicinal Chemistry and Frontiers in Neurology.

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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