Shuohui Chen

1.7k citations
33 papers · 303 · h-index 9

Impact in

Papers in

Shuohui Chen

29 papers receiving 289 citations

Peers

Shuohui Chen
Comparison fields: 5 of 76
  • Statistics, Probability and Uncertainty 48
  • Statistics and Probability 24
  • Surfaces, Coatings and Films 19
  • Artificial Intelligence 79
  • Nephrology 12
Replace Ramin Bighamian with:
Ramin Bighamian United States
Jia-Yeong Tsay United States
Christine L. Tsien United States
Reuel Smith United States
Jong Yong Abdiel Foo Singapore
Robert J. Smolinski United States
José Luis Echarte Pazos Spain
Guofeng Xue China
Sattar Ameri United States
Daniel Wolffram Germany
Shuohui Chen relative to Ramin Bighamian United States Ramin Bighamian's profile →
Citations per field
00.5×5.3×
Ramin Bighamian · 1×
Citations per year

Countries citing papers authored by Shuohui Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shuohui Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202178
2 201935
3 201031
4 201622
5 202514
6 201911
7 20239
8 20249
9 20118
10 20068
11 20247
12 20257
13 20227
14 20246
15 20216
16 20226
17 20225
18 20255
19 20194
20 20234

About Shuohui Chen

Shuohui Chen is a scholar working on Pediatrics, Perinatology and Child Health, Civil and Structural Engineering, Public Health, Environmental and Occupational Health, Statistics, Probability and Uncertainty and Statistics and Probability, having authored 33 papers that have together received 303 indexed citations. Recurring topics across this work include Pediatric Pain Management Techniques (7 papers), Concrete and Cement Materials Research (4 papers), Neonatal and Maternal Infections (3 papers), Advanced Statistical Process Monitoring (3 papers), Advanced Statistical Methods and Models (3 papers), Innovative concrete reinforcement materials (2 papers), Advanced Sensor and Energy Harvesting Materials (2 papers) and Infant Health and Development (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (48 citations), Statistics and Probability (24 citations), Surfaces, Coatings and Films (19 citations), Artificial Intelligence (79 citations) and Nephrology (12 citations). Shuohui Chen has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Harriet Black Nembhard, Haoran Li, Yashar Mehdad, Anchit Gupta, Sonal Gupta, Hongzhen Xu, Dan Wang, Huaiyu Zhu, Yun Pan and Jianhua Mao. Their work appears in journals such as Journal of Building Engineering, Construction and Building Materials, Quality and Reliability Engineering International, IEEE Journal of Biomedical and Health Informatics and IEEE Transactions on Biomedical Engineering.

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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