Chencai Wang

721 citations
36 papers · 241 · h-index 10

Impact in

    • Glioma Diagnosis and Treatment
    • Advanced Neuroimaging Techniques and Applications
    • Advanced MRI Techniques and Applications
    • MRI in cancer diagnosis
    • Radiomics and Machine Learning in Medical Imaging

Papers in

Chencai Wang

34 papers receiving 241 citations

Peers

Chencai Wang
Comparison fields: 5 of 73
  • Genetics 59
  • Radiology, Nuclear Medicine and Imaging 113
  • Biomaterials 24
  • Pathology and Forensic Medicine 32
  • Cognitive Neuroscience 34
Replace Ruimeng Yang with:
Ruimeng Yang China
Michele R. Aizenberg United States
Rashida Williams United States
Sebastiano Lucerna Italy
Ines Krumbein Germany
Haoqiang He China
Deependra Mahato United States
Zerui Zhuang China
Xiangxing Ma China
Feng Dong China
Chencai Wang relative to Ruimeng Yang China Ruimeng Yang's profile →
Citations per field
00.5×1.5×1.8×
Ruimeng Yang · 1×
Citations per year

Countries citing papers authored by Chencai Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chencai Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201738
2 202119
3 202016
4 202015
5 201912
6 202212
7 202210
8 20229
9 20229
10 20229
11 20207
12 20217
13 20207
14 20217
15 20206
16 20216
17 20226
18 20226
19 20205
20 20215

About Chencai Wang

Chencai Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics, Cognitive Neuroscience, Surgery and Materials Chemistry, having authored 36 papers that have together received 241 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (14 papers), Glioma Diagnosis and Treatment (11 papers), Advanced MRI Techniques and Applications (9 papers), MRI in cancer diagnosis (8 papers), Functional Brain Connectivity Studies (7 papers), Cervical and Thoracic Myelopathy (5 papers), Lanthanide and Transition Metal Complexes (4 papers) and Cancer-related cognitive impairment studies (3 papers). The work is most often cited by research in Genetics (59 citations), Radiology, Nuclear Medicine and Imaging (113 citations), Biomaterials (24 citations), Pathology and Forensic Medicine (32 citations) and Cognitive Neuroscience (34 citations). Chencai Wang has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Benjamin M. Ellingson, Noriko Salamon, Langston T. Holly, Talia C. Oughourlian, Catalina Raymond, Jingwen Yao, Timothy F. Cloughesy, Phioanh L. Nghiemphu, Albert Lai and Chao‐Hsiung Hsu. Their work appears in journals such as Neuro-Oncology Advances, Neuro-Oncology, Scientific Reports, Journal of Neuro-Oncology and International Journal of Molecular Sciences.

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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