Chengjun Yao

1.3k total citations
45 papers, 942 citations indexed

About

Chengjun Yao is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Epidemiology. According to data from OpenAlex, Chengjun Yao has authored 45 papers receiving a total of 942 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Radiology, Nuclear Medicine and Imaging, 19 papers in Genetics and 9 papers in Epidemiology. Recurrent topics in Chengjun Yao's work include Glioma Diagnosis and Treatment (19 papers), Advanced MRI Techniques and Applications (11 papers) and Advanced Neuroimaging Techniques and Applications (10 papers). Chengjun Yao is often cited by papers focused on Glioma Diagnosis and Treatment (19 papers), Advanced MRI Techniques and Applications (11 papers) and Advanced Neuroimaging Techniques and Applications (10 papers). Chengjun Yao collaborates with scholars based in China, United States and Canada. Chengjun Yao's co-authors include Jinsong Wu, Liangfu Zhou, Dongxiao Zhuang, Ying Mao, Junfeng Lu, Tianming Qiu, Mingfu Li, Daming Huang, Fengping Zhu and G. F. Jiao and has published in prestigious journals such as The Lancet, Scientific Reports and Journal of neurosurgery.

In The Last Decade

Chengjun Yao

41 papers receiving 929 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chengjun Yao China 19 379 351 201 156 140 45 942
Robert K. Erickson United States 18 175 0.5× 208 0.6× 183 0.9× 356 2.3× 178 1.3× 28 1.1k
Dongxiao Zhuang China 18 422 1.1× 455 1.3× 232 1.2× 161 1.0× 9 0.1× 50 894
Marco Conti Nibali Italy 17 272 0.7× 428 1.2× 247 1.2× 171 1.1× 12 0.1× 40 824
Kevin O’Neill United Kingdom 18 181 0.5× 169 0.5× 121 0.6× 290 1.9× 22 0.2× 54 1.2k
Marco Rossi Italy 25 493 1.3× 634 1.8× 416 2.1× 328 2.1× 15 0.1× 75 1.7k
Mary F. Dempsey United Kingdom 9 407 1.1× 76 0.2× 46 0.2× 49 0.3× 41 0.3× 12 709
Qiang Yue China 17 257 0.7× 209 0.6× 95 0.5× 105 0.7× 11 0.1× 71 860
Igor Pronin Russia 14 341 0.9× 281 0.8× 164 0.8× 100 0.6× 7 0.1× 151 835
Shigeyoshi Saito Japan 18 367 1.0× 77 0.2× 83 0.4× 67 0.4× 14 0.1× 96 980
Chia‐Feng Lu Taiwan 18 554 1.5× 174 0.5× 133 0.7× 212 1.4× 10 0.1× 71 1.1k

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-authorship network of co-authors of Chengjun Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Chengjun Yao. A scholar is included among the top collaborators of Chengjun Yao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chengjun Yao. Chengjun Yao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Shi, Hui, et al.. (2024). Bearing fault diagnosis based on sparsity structure pruning graph attention network. Engineering Research Express. 6(4). 45244–45244. 1 indexed citations
2.
Yao, Chengjun, et al.. (2022). Doping effect and ferroelectricity of nanoribbons of In<sub>2</sub>Se<sub>3</sub> monolayer. Acta Physica Sinica. 71(19). 197701–197701.
3.
Zhuang, Dongxiao, Jinsong Wu, Chengjun Yao, et al.. (2016). Intraoperative Multi-Information-Guided Resection of Dominant-Sided Insular Gliomas in a 3-T Intraoperative Magnetic Resonance Imaging Integrated Neurosurgical Suite. World Neurosurgery. 89. 84–92. 36 indexed citations
4.
Tang, Chao, Jun Guo, Hong Chen, et al.. (2015). Gene mutation profiling of primary glioblastoma through multiple tumor biopsy guided by 1H-magnetic resonance spectroscopy.. PubMed Central. 8(5). 5327–35. 27 indexed citations
5.
Yao, Chengjun, Shiwen Yuan, Dongxiao Zhuang, et al.. (2015). 3.0T iMRI-guided resection of eloquent high-grade gliomas: preliminary results of a randomised controlled trial. The Lancet. 386. S11–S11. 3 indexed citations
6.
Qiu, Tianming, Chao‐Gan Yan, Weijun Tang, et al.. (2014). Localizing hand motor area using resting-state fMRI: validated with direct cortical stimulation. Acta Neurochirurgica. 156(12). 2295–2302. 40 indexed citations
7.
Yao, Chengjun, Yixun Liu, Jianhua Yao, et al.. (2014). Augment low-field intra-operative MRI with preoperative MRI using a hybrid non-rigid registration method. Computer Methods and Programs in Biomedicine. 117(2). 114–124. 2 indexed citations
8.
Wu, Jinsong, Yanyan Song, Dongxiao Zhuang, et al.. (2014). 3.0-T Intraoperative Magnetic Resonance Imaging-Guided Resection in Cerebral Glioma Surgery. Neurosurgery. 61(Supplement 1). 145–154. 46 indexed citations
9.
Liu, Yixun, et al.. (2014). A nonrigid registration method for correcting brain deformation induced by tumor resection. Medical Physics. 41(10). 101710–101710. 4 indexed citations
10.
Liu, Yixun, Chengjun Yao, Andriy Fedorov, et al.. (2014). An ITK implementation of a physics-based non-rigid registration method for brain deformation in image-guided neurosurgery. Frontiers in Neuroinformatics. 8. 33–33. 13 indexed citations
11.
Zhang, Jie, Junfeng Lu, Jinsong Wu, et al.. (2013). A unique case of Chinese language and music dissociation with tumor located in Broca's area: Multimodal mapping for tumor resection and functional preservation. Clinical Neurology and Neurosurgery. 115(10). 2230–2233. 4 indexed citations
12.
Qiu, Tianming, Jinsong Wu, Dongxiao Zhuang, et al.. (2012). Preliminarv application of resting-state functional magnetic resonance imaging in the preoperative localizing language cortex of glioma patients. Zhonghua shenjing waike zazhi. 28(12). 1196–1200. 1 indexed citations
13.
Zhu, Fengping, Jinsong Wu, Yanyan Song, et al.. (2012). Clinical Application of Motor Pathway Mapping Using Diffusion Tensor Imaging Tractography and Intraoperative Direct Subcortical Stimulation in Cerebral Glioma Surgery. Neurosurgery. 71(6). 1170–1184. 87 indexed citations
14.
Zhang, Han, Jinsong Wu, Chengjun Yao, et al.. (2012). “Awake” intraoperative functional MRI (ai-fMRI) for mapping the eloquent cortex: Is it possible in awake craniotomy?. NeuroImage Clinical. 2. 132–142. 20 indexed citations
15.
Liu, Guo Jun, Chengjun Yao, Hong Chen, et al.. (2012). The relationship between Cho/NAA and glioma metabolism: implementation for margin delineation of cerebral gliomas. Acta Neurochirurgica. 154(8). 1361–1370. 67 indexed citations
16.
Zhu, Fengping, Jinsong Wu, Chengjun Yao, et al.. (2010). Intraoperative neurophysiological monitoring in low-field MRI environment. Zhonghua shenjing waike zazhi. 26(4). 303–305. 2 indexed citations
17.
Zhu, Fengping, Jinsong Wu, Chengjun Yao, et al.. (2010). Diffusion tensor imaging correlates with subcortical stimulation for intraoperative pyramidal tract mapping: a preliminary study. Zhonghua shenjing waike zazhi. 26(9). 789–793. 2 indexed citations
18.
Zhuang, Dongxiao, et al.. (2010). A Sparse Intraoperative Data-Driven Biomechanical Model to Compensate for Brain Shift during Neuronavigation. American Journal of Neuroradiology. 32(2). 395–402. 22 indexed citations
19.
Wu, Jinsong, Xuefei Shou, Chengjun Yao, et al.. (2009). TRANSSPHENOIDAL PITUITARY MACROADENOMAS RESECTION GUIDED BY POLESTAR N20 LOW-FIELD INTRAOPERATIVE MAGNETIC RESONANCE IMAGING. Neurosurgery. 65(1). 63–71. 58 indexed citations
20.
Yang, Shu‐Jyuan, Ming‐Jium Shieh, Feng‐Huei Lin, et al.. (2008). Colorectal cancer cell detection by 5-aminolaevulinic acid-loaded chitosan nano-particles. Cancer Letters. 273(2). 210–220. 41 indexed citations

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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