Hongning Xie

1.2k total citations
59 papers, 650 citations indexed

About

Hongning Xie is a scholar working on Pediatrics, Perinatology and Child Health, Surgery and Epidemiology. According to data from OpenAlex, Hongning Xie has authored 59 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Pediatrics, Perinatology and Child Health, 17 papers in Surgery and 14 papers in Epidemiology. Recurrent topics in Hongning Xie's work include Fetal and Pediatric Neurological Disorders (20 papers), Prenatal Screening and Diagnostics (19 papers) and Congenital Heart Disease Studies (10 papers). Hongning Xie is often cited by papers focused on Fetal and Pediatric Neurological Disorders (20 papers), Prenatal Screening and Diagnostics (19 papers) and Congenital Heart Disease Studies (10 papers). Hongning Xie collaborates with scholars based in China, United Kingdom and France. Hongning Xie's co-authors include Mei‐Fang Lin, Ruan Peng, Ting Lei, Lihong Wu, Hongmin Cai, Lihe Zhang, Yanzhao Yang, Jinjian Zheng, Yunxiao Zhu and Miao He and has published in prestigious journals such as Scientific Reports, The International Journal of Biochemistry & Cell Biology and IEEE Sensors Journal.

In The Last Decade

Hongning Xie

53 papers receiving 638 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hongning Xie China	16	322	187	182	103	102	59	650
N. Masoller Spain	16	423 1.3×	346 1.9×	155 0.9×	119 1.2×	74 0.7×	38	742
Dominic Gabriel Iliescu Romania	13	284 0.9×	174 0.9×	140 0.8×	47 0.5×	33 0.3×	101	570
Mei-Ju Chen Taiwan	17	237 0.7×	213 1.1×	115 0.6×	159 1.5×	31 0.3×	39	748
Guorong Lyu China	13	58 0.2×	73 0.4×	87 0.5×	90 0.9×	92 0.9×	86	471
Ailu Cai China	11	116 0.4×	155 0.8×	109 0.6×	77 0.7×	27 0.3×	38	351
Maria Elena Pietrolucci Italy	17	547 1.7×	138 0.7×	71 0.4×	58 0.6×	30 0.3×	48	697
Ippokratis Sarris United Kingdom	13	457 1.4×	83 0.4×	55 0.3×	82 0.8×	10 0.1×	42	678
Barbara A. Crothers United States	17	23 0.1×	298 1.6×	292 1.6×	175 1.7×	55 0.5×	50	804
Susan E. Rowling United States	10	53 0.2×	59 0.3×	126 0.7×	120 1.2×	33 0.3×	17	432
C. Kaihura Italy	14	487 1.5×	105 0.6×	116 0.6×	65 0.6×	25 0.2×	29	839

Countries citing papers authored by Hongning Xie

Since Specialization

Citations

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

Fields of papers citing papers by Hongning Xie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongning Xie

This figure shows the co-authorship network connecting the top 25 collaborators of Hongning Xie. A scholar is included among the top collaborators of Hongning Xie 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 Hongning Xie. Hongning Xie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Yang, Chao, et al.. (2025). Transformer-enhanced vertebrae segmentation and anatomical variation recognition from CT images. Scientific Reports. 15(1). 34329–34329.

Lei, Ting, et al.. (2024). Disproportion of Corpus Callosum in Fetuses With Malformations of Cortical Development. Journal of Ultrasound in Medicine. 43(7). 1265–1277.

Lei, Ting, et al.. (2024). Enhancing trainee performance in obstetric ultrasound through an artificial intelligence system: randomized controlled trial. Ultrasound in Obstetrics and Gynecology. 64(4). 453–462. 4 indexed citations

Zhou, Yi, et al.. (2024). Prenatal ultrasound findings and clinical outcomes of uniparental disomy: a retrospective study. BMC Pregnancy and Childbirth. 24(1). 288–288.

Huang, C. Y., Lihe Zhang, Zheng Qiao, et al.. (2024). Evaluation of normal and abnormal fetal renal microvascular flow characteristics of three-dimensional MV-flow imaging. Early Human Development. 199. 106149–106149. 1 indexed citations

Xie, Hongning, et al.. (2024). Randomly Accessible Active Pixel Sensor With Logarithmic-Exponential Response Enabling Low Dose and Wide Dynamic Range Indirect-Conversion X-Ray Imaging. IEEE Sensors Journal. 25(1). 426–433. 1 indexed citations

Lei, Ting, et al.. (2023). Comparison of performance between O-RADS, IOTA simple rules risk assessment and ADNEX model in the discrimination of ovarian Brenner tumors. Archives of Gynecology and Obstetrics. 308(3). 961–970. 3 indexed citations

Peng, Ruan, et al.. (2022). Frontal lobe development in fetuses with growth restriction by using ultrasound: a case–control study. BMC Pregnancy and Childbirth. 22(1). 861–861. 8 indexed citations

Liu, Yan, et al.. (2022). Evaluation of the trachea in fetuses with double aortic arch using prenatal ultrasound: a retrospective cohort study. American Journal of Obstetrics & Gynecology MFM. 5(1). 100759–100759. 2 indexed citations

10.

Wu, Lihong, et al.. (2021). Dimensions of the optic chiasm: quantitative ultrasound comparison between fetuses with anophthalmia/microphthalmia and normal fetuses. Quantitative Imaging in Medicine and Surgery. 11(10). 4389–4398. 1 indexed citations

11.

Xie, Hongning, et al.. (2021). The Added Value of Whole-Exome Sequencing for Anomalous Fetuses With Detailed Prenatal Ultrasound and Postnatal Phenotype. Frontiers in Genetics. 12. 627204–627204. 15 indexed citations

12.

Xie, Hongning, et al.. (2020). Using deep‐learning algorithms to classify fetal brain ultrasound images as normal or abnormal. Ultrasound in Obstetrics and Gynecology. 56(4). 579–587. 104 indexed citations

13.

Lei, Ting, Nan Wang, Hongmin Cai, et al.. (2020). Computer-aided diagnosis for fetal brain ultrasound images using deep convolutional neural networks. International Journal of Computer Assisted Radiology and Surgery. 15(8). 1303–1312. 41 indexed citations

14.

Chen, Xijie, Miao He, Tingting Dan, et al.. (2020). Automatic Measurements of Fetal Lateral Ventricles in 2D Ultrasound Images Using Deep Learning. Frontiers in Neurology. 11. 526–526. 26 indexed citations

15.

Liu, Bin, Mei‐Fang Lin, Yimin Chen, et al.. (2020). Prediction of cesarean hysterectomy in placenta previa complicated with prior cesarean: a retrospective study. BMC Pregnancy and Childbirth. 20(1). 81–81. 9 indexed citations

16.

Zhang, Lihe, et al.. (2019). Quantitative cervical elastography: a new approach of cervical insufficiency prediction. Archives of Gynecology and Obstetrics. 301(1). 207–215. 22 indexed citations

17.

Xie, Hongning, et al.. (2019). The ratio of cavum septi pellucidi width to anteroposterior cerebellar diameter: A novel index as a diagnostic adjunct for prenatal diagnosis of trisomy 18. Journal of obstetrics and gynaecology research. 45(7). 1245–1250. 1 indexed citations

18.

Lei, Ting, et al.. (2017). Spectrums and Outcomes of Adnexal Torsion at Different Ages. Journal of Ultrasound in Medicine. 36(9). 1859–1866. 19 indexed citations

19.

Lei, Ting, et al.. (2015). Date-Independent Parameters: an Innovative Method to Assess Fetal Cerebellar Vermis. The Cerebellum. 14(3). 231–239. 7 indexed citations

20.

Peng, Ruan, et al.. (2014). Prenatal Diagnosis of Prevalence of the Right Heart. Journal of Ultrasound in Medicine. 33(7). 1155–1161.

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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