Daoying Geng

2.7k total citations
142 papers, 1.8k citations indexed

About

Daoying Geng is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Epidemiology. According to data from OpenAlex, Daoying Geng has authored 142 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Radiology, Nuclear Medicine and Imaging, 37 papers in Genetics and 36 papers in Epidemiology. Recurrent topics in Daoying Geng's work include Glioma Diagnosis and Treatment (37 papers), Radiomics and Machine Learning in Medical Imaging (37 papers) and MRI in cancer diagnosis (31 papers). Daoying Geng is often cited by papers focused on Glioma Diagnosis and Treatment (37 papers), Radiomics and Machine Learning in Medical Imaging (37 papers) and MRI in cancer diagnosis (31 papers). Daoying Geng collaborates with scholars based in China, United States and United Kingdom. Daoying Geng's co-authors include Yuxin Li, Ji Xiong, Yiping Lu, Bo Yin, Jun Zhang, Chi‐Shing Zee, Wenli Tan, Weiyuan Huang, Liqin Yang and Jiawei Pan and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of neurosurgery.

In The Last Decade

Daoying Geng

133 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daoying Geng China 23 844 548 450 353 257 142 1.8k
Alida A. Postma Netherlands 24 699 0.8× 315 0.6× 368 0.8× 357 1.0× 368 1.4× 132 2.0k
Nicholas Brandmeir United States 13 276 0.3× 771 1.4× 691 1.5× 269 0.8× 181 0.7× 47 1.6k
Yae Won Park South Korea 27 977 1.2× 735 1.3× 290 0.6× 324 0.9× 333 1.3× 97 1.7k
Marco Rossi Italy 25 493 0.6× 634 1.2× 168 0.4× 416 1.2× 227 0.9× 75 1.7k
Michail Plotkin Germany 29 979 1.2× 435 0.8× 679 1.5× 283 0.8× 571 2.2× 77 2.4k
Federico Pessina Italy 24 517 0.6× 948 1.7× 220 0.5× 501 1.4× 398 1.5× 113 1.7k
Marc Saake Germany 20 761 0.9× 204 0.4× 384 0.9× 333 0.9× 278 1.1× 64 1.7k
Michael G. Hart United Kingdom 21 401 0.5× 711 1.3× 204 0.5× 326 0.9× 276 1.1× 64 1.5k
Mariam Aboian United States 18 476 0.6× 476 0.9× 233 0.5× 161 0.5× 183 0.7× 79 1.4k
Philippe Schucht Switzerland 28 705 0.8× 1.2k 2.2× 619 1.4× 707 2.0× 291 1.1× 109 2.5k

Countries citing papers authored by Daoying Geng

Since Specialization
Citations

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

Fields of papers citing papers by Daoying Geng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daoying Geng

This figure shows the co-authorship network connecting the top 25 collaborators of Daoying Geng. A scholar is included among the top collaborators of Daoying Geng 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 Daoying Geng. Daoying Geng 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.
Dai, Jian S., et al.. (2024). FedATA: Adaptive attention aggregation for federated self-supervised medical image segmentation. Neurocomputing. 613. 128691–128691. 3 indexed citations
2.
Yu, Zekuan, Xiang Li, Jiaxin Li, et al.. (2024). HSA-net with a novel CAD pipeline boosts both clinical brain tumor MR image classification and segmentation. Computers in Biology and Medicine. 170. 108039–108039. 12 indexed citations
3.
Lv, Kun, Yue Hu, Ji Xiong, et al.. (2024). Altered whole-brain functional network in patients with frontal low-grade gliomas: a resting-state functional MRI study. Neuroradiology. 66(5). 775–784. 3 indexed citations
4.
Tian, Weiwei, Qinqin Yan, Xinyu Huang, et al.. (2024). Predicting occult lymph node metastasis in solid-predominantly invasive lung adenocarcinoma across multiple centers using radiomics-deep learning fusion model. Cancer Imaging. 24(1). 8–8. 11 indexed citations
5.
Liu, Siyu & Daoying Geng. (2024). Key developments and hotspots of exosomes in Alzheimer’s disease: a bibliometric study spanning 2003 to 2023. Frontiers in Aging Neuroscience. 16. 1377672–1377672. 2 indexed citations
6.
Zhou, Kun, et al.. (2023). A novel cascade machine learning pipeline for Alzheimer’s disease identification and prediction. Frontiers in Aging Neuroscience. 14. 11 indexed citations
7.
Zhang, Jiajun, et al.. (2023). Automated unruptured cerebral aneurysms detection in TOF MR angiography images using dual-channel SE-3D UNet: a multi-center research. European Radiology. 33(5). 3532–3543. 11 indexed citations
8.
Li, Jiaxin, et al.. (2023). Progress in Mechanisms, Pathways and Cohort Studies About the Effects of PM2.5 Exposure on the Central Nervous System. Reviews of Environmental Contamination and Toxicology. 261(1). 4 indexed citations
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Wang, Dongdong, Yiping Lu, Xuanxuan Li, et al.. (2022). Evaluation of HIF-1α Expression in a Rat Glioma Model Using Intravoxel Incoherent Motion and R2* Mapping. Frontiers in Oncology. 12. 902612–902612. 5 indexed citations
13.
Wang, Junjie, et al.. (2021). Coarse-to-fine multiplanar D-SEA UNet for automatic 3D carotid segmentation in CTA images. International Journal of Computer Assisted Radiology and Surgery. 16(10). 1727–1736. 7 indexed citations
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Pan, Lei, et al.. (2021). Assessment of carotid atherosclerotic plaque using 3D motion- sensitized driven-equilibrium prepared rapid gradient echo: a comparative study. Quantitative Imaging in Medicine and Surgery. 11(6). 2744–2755. 1 indexed citations
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Huang, Lei, et al.. (2018). Risk factor analysis of recurrence of unruptured paraclinoid aneurysms following endovascular coiling. Zhonghua shenjing waike zazhi. 34(10). 982–987. 1 indexed citations
18.
Xiong, Ji, Wenli Tan, Jiawei Pan, et al.. (2015). Combination of diffusion tensor imaging and conventional MRI correlates with isocitrate dehydrogenase 1/2 mutations but not 1p/19q genotyping in oligodendroglial tumours. European Radiology. 26(6). 1705–1715. 57 indexed citations
19.
Xu, Wendong, et al.. (2006). Functional reorganization of human motor cortex after unaffected side C7 nerve root transposition. Zhonghua fangshexian yixue zazhi. 40(1). 55–59. 1 indexed citations
20.
Li, Guozheng, et al.. (2005). Degree prediction of malignancy in brain glioma using support vector machines. Computers in Biology and Medicine. 36(3). 313–325. 53 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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