Qing Dai

990 total citations
46 papers, 721 citations indexed

About

Qing Dai is a scholar working on Surgery, Pediatrics, Perinatology and Child Health and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Qing Dai has authored 46 papers receiving a total of 721 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Surgery, 10 papers in Pediatrics, Perinatology and Child Health and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Qing Dai's work include Ectopic Pregnancy Diagnosis and Management (6 papers), Ovarian cancer diagnosis and treatment (5 papers) and Endometrial and Cervical Cancer Treatments (4 papers). Qing Dai is often cited by papers focused on Ectopic Pregnancy Diagnosis and Management (6 papers), Ovarian cancer diagnosis and treatment (5 papers) and Endometrial and Cervical Cancer Treatments (4 papers). Qing Dai collaborates with scholars based in China, United States and Singapore. Qing Dai's co-authors include Yuxin Jiang, Qingli Zhu, Ke Lv, Qiang Sun, He Liu, Liang Wang, Yu Xia, Ji‐Bin Liu, Xiaohong Chen and Peng Xia and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Qing Dai

42 papers receiving 707 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qing Dai China 17 258 182 161 150 91 46 721
Knut Brabrand Norway 16 246 1.0× 203 1.1× 295 1.8× 149 1.0× 75 0.8× 44 771
Jianchu Li China 17 226 0.9× 163 0.9× 185 1.1× 152 1.0× 81 0.9× 61 692
Ah Young Park South Korea 16 483 1.9× 239 1.3× 181 1.1× 96 0.6× 141 1.5× 50 845
Sarah Alessi Italy 17 314 1.2× 152 0.8× 174 1.1× 250 1.7× 31 0.3× 42 856
Erkin Arıbal Türkiye 16 363 1.4× 123 0.7× 127 0.8× 141 0.9× 172 1.9× 102 931
Heon Han South Korea 16 208 0.8× 54 0.3× 241 1.5× 169 1.1× 73 0.8× 54 796
Kazuhiro Shimamoto Japan 15 303 1.2× 77 0.4× 336 2.1× 166 1.1× 76 0.8× 44 824
Ji Hye Lee South Korea 14 304 1.2× 112 0.6× 270 1.7× 63 0.4× 116 1.3× 38 819
Yun‐Woo Chang South Korea 20 502 1.9× 78 0.4× 297 1.8× 217 1.4× 217 2.4× 89 1.1k
Lianfang Du China 16 317 1.2× 233 1.3× 170 1.1× 146 1.0× 37 0.4× 65 762

Countries citing papers authored by Qing Dai

Since Specialization
Citations

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

Fields of papers citing papers by Qing Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Dai. A scholar is included among the top collaborators of Qing 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 Qing Dai. Qing 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.
2.
Dai, Qing, et al.. (2025). Cesarean Scar Pregnancy Prognostic Classification System Based on Machine‐Learning and Traditional Linear Scoring Models. Journal of Ultrasound in Medicine. 44(8). 1355–1365.
3.
4.
Xiao, Guorui, et al.. (2024). PPP ambiguity resolution based on factor graph optimization. GPS Solutions. 28(4). 31 indexed citations
5.
Yang, Ya, Hongyan Wang, Na Su, et al.. (2023). Effect of differences in O-RADS lexicon interpretation between senior and junior sonologists on O-RADS classification and diagnostic performance. Journal of Cancer Research and Clinical Oncology. 149(13). 12275–12283. 2 indexed citations
6.
Yao, Wei, Bin Yang, Jun Xue, et al.. (2023). Real-time carotid plaque recognition from dynamic ultrasound videos based on artificial neural network. Ultraschall in der Medizin - European Journal of Ultrasound. 45(5). 493–500. 5 indexed citations
7.
Yao, Wei, et al.. (2020). The clinical and ultrasound-based comparison between cesarean scar pregnancy and other lower uterine segment pregnancies with a history of cesarean section. The Journal of Maternal-Fetal & Neonatal Medicine. 34(4). 639–645. 4 indexed citations
8.
Han, Fei, Lixin Zhou, Jun Ni, et al.. (2020). Design of the Shunyi study on cardiovascular disease and age-related brain changes: a community-based, prospective, cohort study. Annals of Translational Medicine. 8(23). 1579–1579. 20 indexed citations
9.
Wang, Ming, Yuqin Liu, He Liu, et al.. (2018). Angiogenesis Research in Mouse Mammary Cancer Based on Contrast-enhanced Ultrasonography. Academic Radiology. 25(7). 889–897. 5 indexed citations
10.
Li, Wenbo, Qingli Zhu, Yuxin Jiang, et al.. (2017). Partially cystic thyroid nodules in ultrasound-guided fine needle aspiration. Medicine. 96(46). e8689–e8689. 26 indexed citations
11.
Xia, Yu, Liang Wang, Yuxin Jiang, et al.. (2014). Sonographic Appearance of Primary Thyroid Lymphoma-Preliminary Experience. PLoS ONE. 9(12). e114080–e114080. 26 indexed citations
12.
Zhang, Xinling, Rongqin Zheng, Zeping Huang, et al.. (2014). The Contribution of Qualitative CEUS to the Determination of Malignancy in Adnexal Masses, Indeterminate on Conventional US – A Multicenter Study. PLoS ONE. 9(4). e93843–e93843. 20 indexed citations
13.
Liu, He, Yuxin Jiang, Qing Dai, et al.. (2014). Differentiation of Benign and Malignant Sub‐1‐cm Breast Lesions Using Contrast‐Enhanced Sonography. Journal of Ultrasound in Medicine. 34(1). 117–123. 15 indexed citations
14.
Chen, Shun‐le, Qing Dai, Zhanguo Li, et al.. (2013). Etoricoxib versus indometacin in the treatment of Chinese patients with acute gouty arthritis: a randomized double-blind trial. Chinese Medical Journal. 126(10). 1867–1871. 23 indexed citations
15.
Gao, Jinsong, Juntao Liu, Xiya Zhou, et al.. (2012). Spontaneous Resolution of a Fetal Dural Sinus Thrombosis: One Case Report and Review of the Literatures. SHILAP Revista de lepidopterología.
16.
Xia, Yu, et al.. (2011). Contrast-enhanced ultrasound of hepatocellular carcinoma: Correlation of washout time and angiogenesis. Clinical Hemorheology and Microcirculation. 48(4). 265–273. 19 indexed citations
17.
Li, Jianchu, Wei Qin, Lei Wang, et al.. (2007). Evaluation of the Tardus-Parvus Pattern in Patients With Atherosclerotic and Nonatherosclerotic Renal Artery Stenosis. Journal of Ultrasound in Medicine. 26(4). 419–426. 14 indexed citations
18.
Li, Jianchu, Zhigang Ji, Sheng Cai, et al.. (2005). Evaluation of severe transplant renal artery stenosis with Doppler sonography. Journal of Clinical Ultrasound. 33(6). 261–269. 17 indexed citations
19.
Chu, Zhenxing, Qing Dai, Chaojun Wei, et al.. (2001). Mitochondrial DNA polymorphisms in Yunnan nationalities in China. Journal of Human Genetics. 46(4). 211–220. 46 indexed citations
20.
Harris, Alan G., et al.. (1993). Prospective study of the long-term effects of somatostatin analog (octreotide) on gallbladder function and gallstone formation in Chinese acromegalic patients.. The Journal of Clinical Endocrinology & Metabolism. 76(1). 32–37. 17 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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