Yongming Dai

2.7k total citations
136 papers, 2.0k citations indexed

About

Yongming Dai is a scholar working on Radiology, Nuclear Medicine and Imaging, Hepatology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yongming Dai has authored 136 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Radiology, Nuclear Medicine and Imaging, 26 papers in Hepatology and 24 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yongming Dai's work include MRI in cancer diagnosis (71 papers), Advanced MRI Techniques and Applications (34 papers) and Radiomics and Machine Learning in Medical Imaging (33 papers). Yongming Dai is often cited by papers focused on MRI in cancer diagnosis (71 papers), Advanced MRI Techniques and Applications (34 papers) and Radiomics and Machine Learning in Medical Imaging (33 papers). Yongming Dai collaborates with scholars based in China, United States and Germany. Yongming Dai's co-authors include Jiani Hu, Zhongcheng Wang, Yunfei Zhang, E. Mark Haacke, Dongmei Wu, Dongmei Wu, Ruofan Sheng, Jiuquan Zhang, Chun Yang and Chunxia Luo and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Yongming Dai

124 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yongming Dai China 23 1.2k 268 258 239 231 136 2.0k
Mario Ries Netherlands 25 1.5k 1.3× 46 0.2× 102 0.4× 214 0.9× 48 0.2× 68 2.5k
P. Grenier France 9 2.6k 2.3× 138 0.5× 204 0.8× 319 1.3× 367 1.6× 33 3.3k
Simeon Nill United Kingdom 37 2.5k 2.1× 79 0.3× 76 0.3× 2.3k 9.8× 88 0.4× 173 4.1k
Élodie Breton France 15 5.6k 4.8× 236 0.9× 218 0.8× 601 2.5× 502 2.2× 53 6.4k
David Thomasson United States 24 1.3k 1.1× 124 0.5× 231 0.9× 194 0.8× 272 1.2× 54 2.2k
Karl K. Vigen United States 17 1.2k 1.0× 54 0.2× 156 0.6× 191 0.8× 240 1.0× 32 1.6k
Xiaodong Zhong United States 27 1.3k 1.1× 99 0.4× 136 0.5× 135 0.6× 410 1.8× 113 2.5k
Sven Zuehlsdorff United States 23 1.6k 1.3× 93 0.3× 140 0.5× 293 1.2× 252 1.1× 75 2.0k
Alois M. Sprinkart Germany 28 1.2k 1.0× 66 0.2× 358 1.4× 233 1.0× 596 2.6× 120 2.7k
Magalie Viallon France 35 1.8k 1.6× 263 1.0× 189 0.7× 380 1.6× 377 1.6× 123 3.0k

Countries citing papers authored by Yongming Dai

Since Specialization
Citations

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

Fields of papers citing papers by Yongming Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongming Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Yongming Dai. A scholar is included among the top collaborators of Yongming Dai 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 Yongming Dai. Yongming Dai 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.
Liu, Fang, Tianshu Yang, Shuang Ye, et al.. (2025). Identification of Diffusion‐Relaxation Compartments Based on Correlation to Renal Pathological Scores: An Explorative Study on Lupus Nephritis. Journal of Magnetic Resonance Imaging. 62(5). 1437–1449.
2.
Dai, Yongming, et al.. (2025). Using computer vision and street view images to assess bus stop amenities. Computers Environment and Urban Systems. 117. 102254–102254.
3.
4.
Yu, Ye, Tianshu Yang, Pengfei Ma, et al.. (2025). Determining the status of tertiary lymphoid structures in invasive pulmonary adenocarcinoma based on chest CT radiomic features. Insights into Imaging. 16(1). 28–28. 2 indexed citations
5.
6.
Tan, Wenli, et al.. (2024). Comparison and optimization of b value combinations for diffusion-weighted imaging in discriminating hepatic fibrosis. Abdominal Radiology. 49(4). 1113–1121. 4 indexed citations
7.
8.
Sun, Yawen, Xu Han, Zhenghao Li, et al.. (2024). Quantifying neuroinflammation within deep gray matter in small vessel disease using diffusion tensor based free-water imaging: a longitudinal study. Frontiers in Aging Neuroscience. 16. 1361436–1361436. 1 indexed citations
9.
Li, Shaolei, et al.. (2024). MRI-based habitat imaging in cancer treatment: current technology, applications, and challenges. Cancer Imaging. 24(1). 107–107. 17 indexed citations
10.
Han, Xu, Yao Wang, Yongming Dai, et al.. (2024). Predicting white-matter hyperintensity progression and cognitive decline in patients with cerebral small-vessel disease: a magnetic resonance-based habitat analysis. Quantitative Imaging in Medicine and Surgery. 14(9). 6621–6634. 2 indexed citations
11.
Sui, He, Yu Gong, Lin Liu, et al.. (2023). Comparison of Artificial Intelligence-Assisted Compressed Sensing (ACS) and Routine Two-Dimensional Sequences on Lumbar Spine Imaging. Journal of Pain Research. Volume 16. 257–267. 12 indexed citations
12.
Zhang, Yunfei, Chun Yang, Ruofan Sheng, Yongming Dai, & Mengsu Zeng. (2023). Predicting the recurrence of hepatocellular carcinoma (≤ 5 cm) after resection surgery with promising risk factors: habitat fraction of tumor and its peritumoral micro-environment. La radiologia medica. 128(10). 1181–1191. 16 indexed citations
13.
Sui, He, Jin Li, Lin Liu, et al.. (2022). Accelerating Knee MRI: 3D Modulated Flip-Angle Technique in Refocused Imaging with an Extended Echo Train and Compressed Sensing. SHILAP Revista de lepidopterología. 4 indexed citations
14.
Pang, Zhi‐Feng, Lan Zhang, Yanru Zhou, et al.. (2022). Adaptive weighted curvature-based active contour for ultrasonic and 3T/5T MR image segmentation. Signal Processing. 205. 108881–108881. 20 indexed citations
15.
Wang, Chunhong, Guanying Wang, Yunfei Zhang, et al.. (2022). Differentiation of benign and malignant breast lesions using diffusion-weighted imaging with a fractional-order calculus model. European Journal of Radiology. 159. 110646–110646. 14 indexed citations
16.
Chen, Jiejun, Yixian Guo, Yunfei Zhang, et al.. (2022). Preoperative identification of cytokeratin 19 status of hepatocellular carcinoma based on diffusion kurtosis imaging. Abdominal Radiology. 48(2). 579–589. 9 indexed citations
17.
Geng, Zhijun, Yunfei Zhang, Shaohan Yin, et al.. (2020). Preoperatively Grading Rectal Cancer with the Combination of Intravoxel Incoherent Motions Imaging and Diffusion Kurtosis Imaging. Contrast Media & Molecular Imaging. 2020. 1–11. 15 indexed citations
18.
Wang, Zhaoyan, Meiping Huang, Yongchuan Chai, et al.. (2018). BoneBridge implantation in patients with single-sided deafness resulting from vestibular schwannoma resection: objective and subjective benefit evaluations. Acta Oto-Laryngologica. 138(10). 877–885. 14 indexed citations
19.
Bai, Yan, Meiyun Wang, Shewei Dou, et al.. (2013). Susceptibility Weighted Imaging: A New Tool in the Diagnosis of Prostate Cancer and Detection of Prostatic Calcification. PLoS ONE. 8(1). e53237–e53237. 36 indexed citations
20.
Dai, Yongming, Zhongcheng Wang, & Dongmei Wu. (2005). A four-step trigonometric fitted P-stable Obrechkoff method for periodic initial-value problems. Journal of Computational and Applied Mathematics. 187(2). 192–201. 11 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Mario Ries Breakdown of academic impact, for papers by P. Grenier Breakdown of academic impact, for papers by Simeon Nill Breakdown of academic impact, for papers by Élodie Breton Breakdown of academic impact, for papers by David Thomasson Breakdown of academic impact, for papers by Karl K. Vigen Breakdown of academic impact, for papers by Xiaodong Zhong Breakdown of academic impact, for papers by Sven Zuehlsdorff Breakdown of academic impact, for papers by Alois M. Sprinkart Breakdown of academic impact, for papers by Magalie Viallon
Rankless by CCL
2026