Gaowen Chen

717 total citations
24 papers, 479 citations indexed

About

Gaowen Chen is a scholar working on Surgery, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Gaowen Chen has authored 24 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 4 papers in Molecular Biology and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Gaowen Chen's work include Ovarian cancer diagnosis and treatment (3 papers), Pelvic and Acetabular Injuries (3 papers) and Fetal and Pediatric Neurological Disorders (3 papers). Gaowen Chen is often cited by papers focused on Ovarian cancer diagnosis and treatment (3 papers), Pelvic and Acetabular Injuries (3 papers) and Fetal and Pediatric Neurological Disorders (3 papers). Gaowen Chen collaborates with scholars based in China, New Zealand and Singapore. Gaowen Chen's co-authors include Yifeng Wang, Yü Liu, Xin Li, Yan Luo, Tong Lin, Huifang Shen, Yizhi Gao, Hui Zhang, Bo Yi and Xiangyuan Li and has published in prestigious journals such as RSC Advances, International Journal of Biological Macromolecules and Journal of Cellular Biochemistry.

In The Last Decade

Gaowen Chen

23 papers receiving 474 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gaowen Chen China 12 119 76 75 50 50 24 479
Yujia Wang China 13 166 1.4× 142 1.9× 47 0.6× 10 0.2× 21 0.4× 42 476
Anjali A. Roeth Germany 14 205 1.7× 193 2.5× 130 1.7× 159 3.2× 40 0.8× 38 761
Xifeng Dong China 13 209 1.8× 71 0.9× 75 1.0× 39 0.8× 54 1.1× 46 619
Xuena Li China 16 200 1.7× 95 1.3× 143 1.9× 68 1.4× 97 1.9× 67 748
Jinjie Chang China 10 173 1.5× 24 0.3× 34 0.5× 51 1.0× 201 4.0× 14 629
Yao Guo China 15 209 1.8× 74 1.0× 140 1.9× 68 1.4× 62 1.2× 35 593
Kan Wang China 13 123 1.0× 74 1.0× 43 0.6× 125 2.5× 58 1.2× 49 581
Simin Yao China 16 150 1.3× 34 0.4× 62 0.8× 52 1.0× 32 0.6× 38 727
Shufang Chang China 15 136 1.1× 25 0.3× 36 0.5× 33 0.7× 108 2.2× 36 656

Countries citing papers authored by Gaowen Chen

Since Specialization
Citations

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

Fields of papers citing papers by Gaowen Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaowen Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Gaowen Chen. A scholar is included among the top collaborators of Gaowen Chen 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 Gaowen Chen. Gaowen Chen 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.
Zhang, Yifan, et al.. (2025). An automatic measurement of cervix dilation in intrapartum ultrasound image. Signal Image and Video Processing. 19(3).
2.
Chen, Gaowen, et al.. (2024). PSFHS: Intrapartum ultrasound image dataset for AI-based segmentation of pubic symphysis and fetal head. Scientific Data. 11(1). 436–436. 7 indexed citations
3.
Bai, Jieyun, Zhide Chen, Yaosheng Lu, et al.. (2024). RTSeg-net: A lightweight network for real-time segmentation of fetal head and pubic symphysis from intrapartum ultrasound images. Computers in Biology and Medicine. 175. 108501–108501. 11 indexed citations
4.
Wang, Chuan, et al.. (2023). The segmentation effect of style transfer on fetal head ultrasound image: a study of multi-source data. Medical & Biological Engineering & Computing. 61(5). 1017–1031. 9 indexed citations
5.
Chen, Gaowen, Zhi Zhang, Yi Huang, et al.. (2023). Development of prediction model to estimate future risk of ovarian lesions: A multi-center retrospective study. Preventive Medicine Reports. 35. 102296–102296. 3 indexed citations
6.
Lu, Yaosheng, Huijun Wang, Di Qiu, et al.. (2022). The JNU-IFM dataset for segmenting pubic symphysis-fetal head. Data in Brief. 41. 107904–107904. 19 indexed citations
7.
Lu, Yaosheng, et al.. (2022). Multitask Deep Neural Network for the Fully Automatic Measurement of the Angle of Progression. Computational and Mathematical Methods in Medicine. 2022. 1–14. 11 indexed citations
8.
Bai, Jieyun, Yu Sheng, Yaosheng Lu, et al.. (2022). A framework for computing angle of progression from transperineal ultrasound images for evaluating fetal head descent using a novel double branch network. Frontiers in Physiology. 13. 940150–940150. 10 indexed citations
9.
Chen, Gaowen, et al.. (2021). Development of bright and low angle dependent structural color coatings via electrophoretic deposition with variable voltage. Surfaces and Interfaces. 24. 101045–101045. 7 indexed citations
10.
Chen, Gaowen, Xiaoxuan Li, Huiyan Wang, et al.. (2021). Safety and feasibility of single-incision radical vulvectomy: a novel approach for the treatment of vulvar cancer. Annals of Translational Medicine. 9(4). 320–320. 2 indexed citations
11.
Chen, Gaowen, et al.. (2021). Tumor Immunometabolism Characterization in Ovarian Cancer With Prognostic and Therapeutic Implications. Frontiers in Oncology. 11. 622752–622752. 11 indexed citations
12.
Cong, Shuzhen, et al.. (2021). Ultrasound‐Based Nomogram for Distinguishing Malignant Tumors from Nodular Sclerosing Adenoses in Solid Breast Lesions. Journal of Ultrasound in Medicine. 40(10). 2189–2200. 10 indexed citations
13.
Chen, Gaowen, et al.. (2020). Multifunctional cellulose nanocrystal structural colored film with good flexibility and water-resistance. International Journal of Biological Macromolecules. 149. 819–825. 39 indexed citations
14.
Liu, Yü, Ying Zhang, Yan Ding, et al.. (2020). Clinical applications of uterus transplantation in China: Issues to take into consideration. Journal of obstetrics and gynaecology research. 46(3). 357–368. 5 indexed citations
15.
Liu, Aibin, Meigong Zhong, Jihong Wei, et al.. (2019). Silencing LGR6 Attenuates Stemness and Chemoresistance via Inhibiting Wnt/β-Catenin Signaling in Ovarian Cancer. Molecular Therapy — Oncolytics. 14. 94–106. 43 indexed citations
16.
Kisu, Iori, Yü Liu, Gaowen Chen, et al.. (2019). Current Progress in Uterus Transplantation Research in Asia. Journal of Clinical Medicine. 8(2). 245–245. 12 indexed citations
17.
Chen, Gaowen, et al.. (2018). Development of bright and low angle dependence structural colors from order-disorder hierarchical photonic structure. Dyes and Pigments. 161. 464–469. 38 indexed citations
18.
Chen, Gaowen, et al.. (2018). Prognostic Role of Neutrophil to Lymphocyte Ratio in Ovarian Cancer: A Meta-Analysis. Technology in Cancer Research & Treatment. 17. 1077059148–1077059148. 48 indexed citations
19.
20.
Zhu, Ying, et al.. (2014). [Uterine autologous transplantation in cynomolgus monkeys: a preliminary report of 6 case].. PubMed. 94(47). 3774–7. 5 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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