Chengyan Wang

2.5k citations
74 papers · 1.0k · h-index 18

Impact in

Papers in

Chengyan Wang

65 papers receiving 1.0k citations

Peers

Chengyan Wang
Comparison fields: 5 of 117
  • Business and International Management 43
  • Radiology, Nuclear Medicine and Imaging 406
  • Virology 56
  • Hepatology 88
  • Health Informatics 14
Replace Arvydas Laurinavičius with:
Arvydas Laurinavičius Lithuania
Jun Cheng China
Fernando U. Garcia United States
Georgios Z. Papadakis United States
Rui Yan China
Carlo Russo United States
Famke Aeffner United States
Miguel F. Diaz United States
Linda Cheung United Kingdom
Marylène Lejeune Spain
Chengyan Wang relative to Arvydas Laurinavičius Lithuania Arvydas Laurinavičius's profile →
Citations per field
00.5×10×15×21.5×
Arvydas Laurinavičius · 1×
Citations per year

Countries citing papers authored by Chengyan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chengyan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017182
2 202267
3 202263
4 201653
5 202152
6 202239
7 202139
8 201735
9 202233
10 202129
11 202327
12 200626
13 202125
14 201723
15 201921
16 202120
17 202318
18 202118
19 202117
20 202117

About Chengyan Wang

Chengyan Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Epidemiology, Hepatology and Artificial Intelligence, having authored 74 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (29 papers), MRI in cancer diagnosis (15 papers), Advanced Neuroimaging Techniques and Applications (13 papers), Medical Imaging Techniques and Applications (13 papers), Radiomics and Machine Learning in Medical Imaging (13 papers), Cardiac Imaging and Diagnostics (8 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers) and Image and Signal Denoising Methods (6 papers). The work is most often cited by research in Business and International Management (43 citations), Radiology, Nuclear Medicine and Imaging (406 citations), Virology (56 citations), Hepatology (88 citations) and Health Informatics (14 citations). Chengyan Wang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Jun Lv, Weibo Chen, Guangyuan Li, He Wang, Guang Yang, Jun Lyu, Qi Dou, Rencheng Zheng, Jing Qin and Xiangrong Tong. Their work appears in journals such as Magnetic Resonance Imaging, Medical Image Analysis, Journal of Magnetic Resonance Imaging, Magnetic Resonance in Medicine and Medical Physics.

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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