Chiyu Wang

562 citations
32 papers · 372 · h-index 12

Impact in

Papers in

Chiyu Wang

28 papers receiving 367 citations

Peers

Chiyu Wang
Comparison fields: 5 of 97
  • Endocrinology, Diabetes and Metabolism 72
  • Health, Toxicology and Mutagenesis 55
  • Pathology and Forensic Medicine 58
  • Nephrology 18
  • Orthopedics and Sports Medicine 15
Replace Jin Yao with:
Jin Yao China
Yoosun Cho South Korea
Kyungah Jeong South Korea
Cristina Preda Romania
Sainan Zhu China
Nadia Antonucci Italy
Ulrike Genschel United States
Chaochao Ma China
Benjamin Stark United States
Robert J. Foxall United Kingdom
Chiyu Wang relative to Jin Yao China Jin Yao's profile →
Citations per field
00.5×5.1×
Jin Yao · 1×
Citations per year

Countries citing papers authored by Chiyu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chiyu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201661
2 201933
3 202030
4 201930
5 202129
6 201728
7 201923
8 201922
9 201920
10 201916
11 202415
12 202014
13 200510
14 20257
15 20205
16 20215
17 20215
18 20255
19 20093
20 20222

About Chiyu Wang

Chiyu Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Pathology and Forensic Medicine, Hardware and Architecture and Endocrinology, Diabetes and Metabolism, having authored 32 papers that have together received 372 indexed citations. Recurring topics across this work include Topic Modeling (4 papers), Sentiment Analysis and Opinion Mining (3 papers), Advanced Text Analysis Techniques (3 papers), Physical Unclonable Functions (PUFs) and Hardware Security (3 papers), Vitamin D Research Studies (3 papers), Chronic Kidney Disease and Diabetes (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Advanced Memory and Neural Computing (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (72 citations), Health, Toxicology and Mutagenesis (55 citations), Pathology and Forensic Medicine (58 citations), Nephrology (18 citations) and Orthopedics and Sports Medicine (15 citations). Chiyu Wang has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Ningjian Wang, Yingli Lu, Wen Zhang, Heng Wan, Chi Chen, Fangzhen Xia, Yi Chen, Yi Chen, Feng Sha and Zhaokang Yuan. Their work appears in journals such as Journal of Intelligent & Fuzzy Systems, IET Intelligent Transport Systems, International Journal of Environmental Research and Public Health, Endocrine Practice and The Journal of Clinical Endocrinology & Metabolism.

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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