Yuchen Cui

1.4k citations
39 papers · 600 · h-index 12

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 detection and testing
    • Advanced Battery Materials and Technologies
    • Advancements in Battery Materials
    • Indoor and Outdoor Localization Technologies

Papers in

Yuchen Cui

34 papers receiving 591 citations

Peers

Yuchen Cui
Comparison fields: 5 of 91
  • Infectious Diseases 191
  • Electrical and Electronic Engineering 208
  • Animal Science and Zoology 30
  • Health 20
  • Signal Processing 28
Replace Zhipeng Cai with:
Zhipeng Cai China
Xiyu Yu China
Yusheng Fu China
Dong-Keun Kim South Korea
Sander Jansen Germany
Wenqiang Yan China
Youchun Xu China
V R Rajendran India
Sk. Sarif Hassan India
Yuchen Cui relative to Zhipeng Cai China Zhipeng Cai's profile →
Citations per field
00.5×10×
Zhipeng Cai · 1×
Citations per year

Countries citing papers authored by Yuchen Cui

Since Specialization
Citations

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

Fields of papers citing papers by Yuchen Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022116
2 202285
3 201768
4 202261
5 202347
6 202337
7 201827
8 202425
9 202117
10 201516
11 201914
12 202111
13 202411
14 20159
15
Risk-Aware Active Inverse Reinforcement Learning
20186
16 20186
17 20225
18 20235
19 20225
20 20194

About Yuchen Cui

Yuchen Cui is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Infectious Diseases, Molecular Biology and Computer Vision and Pattern Recognition, having authored 39 papers that have together received 600 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), Advanced Battery Materials and Technologies (5 papers), Advancements in Battery Materials (4 papers), Reinforcement Learning in Robotics (4 papers), MXene and MAX Phase Materials (4 papers), Anomaly Detection Techniques and Applications (3 papers), Bacillus and Francisella bacterial research (3 papers) and Animal Virus Infections Studies (3 papers). The work is most often cited by research in Infectious Diseases (191 citations), Electrical and Electronic Engineering (208 citations), Animal Science and Zoology (30 citations), Health (20 citations) and Signal Processing (28 citations). Yuchen Cui has collaborated with scholars based in China, United States and France. Frequent co-authors include Shaochun Tang, Xiaoya Zhou, Xin Huang, Scott Niekum, Xiaoyu Zhao, Xun Wang, Lulu Yang, Minghui Li, Pengfei Wang and Lili Qiu. Their work appears in journals such as Pathogens, Small, ACS Applied Materials & Interfaces, Emerging Microbes & Infections and Applied Physics Letters.

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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