Chengjun Yao

1.4k citations
41 papers · 1.0k · h-index 20

Impact in

Papers in

Chengjun Yao

38 papers receiving 1.0k citations

Peers

Chengjun Yao
Comparison fields: 5 of 88
  • Genetics 308
  • Radiology, Nuclear Medicine and Imaging 282
  • Cognitive Neuroscience 150
  • Endocrinology, Diabetes and Metabolism 58
  • Epidemiology 101
Replace Dongxiao Zhuang with:
Dongxiao Zhuang China
Igor Pronin Russia
Erik Magnus Berntsen Norway
Zhiyi Sha United States
Julia Geisler Germany
Sophie Lancelot France
Marco Conti Nibali Italy
Jörgen Boethius Sweden
Mathias Lukas Germany
Chengjun Yao relative to Dongxiao Zhuang China Dongxiao Zhuang's profile →
Citations per field
00.5×1.5×
Dongxiao Zhuang · 1×
Citations per year

Countries citing papers authored by Chengjun Yao

Since Specialization
Citations

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

Fields of papers citing papers by Chengjun Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011119
2 201296
3 201273
4 200963
5 201357
6 200850
7 201450
8 201446
9 201640
10 201639
11 201639
12 201537
13
Gene mutation profiling of primary glioblastoma through multiple tumor biopsy guided by 1H-magnetic resonance spectroscopy.
201527
14 201726
15 200924
16 201224
17 201523
18 201022
19 201422
20 201322

About Chengjun Yao

Chengjun Yao is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Computer Vision and Pattern Recognition and Epidemiology, having authored 41 papers that have together received 1.0k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (14 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Advanced MRI Techniques and Applications (5 papers), Advancements in Semiconductor Devices and Circuit Design (4 papers), Meningioma and schwannoma management (4 papers), Medical Image Segmentation Techniques (4 papers), Semiconductor materials and devices (4 papers) and Functional Brain Connectivity Studies (3 papers). The work is most often cited by research in Genetics (308 citations), Radiology, Nuclear Medicine and Imaging (282 citations), Cognitive Neuroscience (150 citations), Endocrinology, Diabetes and Metabolism (58 citations) and Epidemiology (101 citations). Chengjun Yao has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jinsong Wu, Liangfu Zhou, Dongxiao Zhuang, Ying Qing Mao, Junfeng Lu, Tianming Qiu, Fengping Zhu, Daming Huang, Mingfu Li and G. F. Jiao. Their work appears in journals such as Neurosurgery, American Journal of Neuroradiology, Acta Neurochirurgica, IEEE Transactions on Electron Devices and Journal of neurosurgery.

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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