Yuming Chong

503 total citations
39 papers, 293 citations indexed

About

Yuming Chong is a scholar working on Dermatology, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yuming Chong has authored 39 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Dermatology, 11 papers in Surgery and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yuming Chong's work include Facial Rejuvenation and Surgery Techniques (12 papers), Lung Cancer Diagnosis and Treatment (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Yuming Chong is often cited by papers focused on Facial Rejuvenation and Surgery Techniques (12 papers), Lung Cancer Diagnosis and Treatment (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Yuming Chong collaborates with scholars based in China, Singapore and Japan. Yuming Chong's co-authors include Han Chang, Yijun Wu, Xiao Long, Jianghao Liu, Nanze Yu, Liang Gong, Jiuzuo Huang, Ziwen Liu, Xiequn Xu and Xinyu Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Immunology and Urology.

In The Last Decade

Yuming Chong

33 papers receiving 287 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuming Chong China 9 77 64 57 54 43 39 293
Alexander Delides Greece 10 30 0.4× 102 1.6× 14 0.2× 76 1.4× 13 0.3× 56 342
Hadi Ghadimi Iran 10 116 1.5× 65 1.0× 23 0.4× 37 0.7× 5 0.1× 35 364
Kapil Mishra United States 12 115 1.5× 67 1.0× 9 0.2× 13 0.2× 20 0.5× 43 389
Abdolamir Karbalaie Sweden 8 33 0.4× 44 0.7× 110 1.9× 33 0.6× 11 0.3× 13 317
Chrisfouad R. Alabiad United States 12 107 1.4× 97 1.5× 32 0.6× 23 0.4× 8 0.2× 33 660
Emil Radu Iacob Romania 11 42 0.5× 77 1.2× 9 0.2× 73 1.4× 17 0.4× 46 275
Weng Onn Chan Australia 12 185 2.4× 100 1.6× 76 1.3× 13 0.2× 11 0.3× 58 531
Samer Khader United States 12 25 0.3× 131 2.0× 8 0.1× 59 1.1× 51 1.2× 58 311
Rebecca Preston United Kingdom 12 118 1.5× 136 2.1× 9 0.2× 168 3.1× 13 0.3× 24 565
Ga‐In Lee South Korea 12 85 1.1× 22 0.3× 9 0.2× 14 0.3× 55 1.3× 44 356

Countries citing papers authored by Yuming Chong

Since Specialization
Citations

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

Fields of papers citing papers by Yuming Chong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuming Chong

This figure shows the co-authorship network connecting the top 25 collaborators of Yuming Chong. A scholar is included among the top collaborators of Yuming Chong 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 Yuming Chong. Yuming Chong 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.
Chong, Yuming, et al.. (2025). Development and validation of the Chinese version of the Clinician-reported submental fat rating scale. SHILAP Revista de lepidopterología. 7(1). 1–4.
3.
Chong, Yuming, Haiying Wang, Jiuzuo Huang, et al.. (2024). A Randomized, Evaluator-Blinded, Multicenter Study to Compare Injectable Poly-D,L-Lactic Acid vs Hyaluronic Acid for Nasolabial Fold Augmentation. Aesthetic Surgery Journal. 44(12). NP898–NP905. 1 indexed citations
4.
Wang, Xue, Yan Liu, Weijia Wang, et al.. (2024). Development and evaluation of a deep learning framework for the diagnosis of malnutrition using a 3D facial points cloud: A cross‐sectional study. Journal of Parenteral and Enteral Nutrition. 48(5). 554–561. 1 indexed citations
5.
Chong, Yuming, Xiao Long, Jiuzuo Huang, et al.. (2024). Automated anatomical landmark detection on 3D facial images using U-NET-based deep learning algorithm. Quantitative Imaging in Medicine and Surgery. 14(3). 2466–2474. 2 indexed citations
6.
Zhang, Mengyuan, Yuyan Yang, Yan‐Ping Shi, et al.. (2024). A Comprehensive Ultrasound Investigation of Lower Facial and Neck Structure. Aesthetic Plastic Surgery. 49(1). 1–12.
7.
Chong, Yuming, Ziming Li, Jiuzuo Huang, et al.. (2023). Introduction and validation of an automatic and low-cost three-dimensional facial imaging system: a comparison to direct anthropometry and Vectra H1. Quantitative Imaging in Medicine and Surgery. 13(5). 2922–2932. 3 indexed citations
8.
Yang, Yuyan, Zenan Xia, Yue Shi, et al.. (2023). A Quantitative Three-Dimensional Tear Trough Deformity Assessment and Its Application in Orbital Septum Fat Transposition. Aesthetic Plastic Surgery. 47(6). 2453–2460. 3 indexed citations
9.
Yang, Yuyan, et al.. (2023). Protocol Establishment and Reliability Verification of Three-Dimensional Digital Stereophotogrammetry in Lower Eyelid Anthropometry. Aesthetic Plastic Surgery. 48(7). 1276–1287. 1 indexed citations
10.
Li, Zhujun, Lin Jin, Yuming Chong, et al.. (2023). Defining Ideal Pretarsal Rolls Through a Morphometric Analysis in Asians. Aesthetic Surgery Journal. 44(3). 265–274. 2 indexed citations
11.
Yang, Yuyan, Lin Jin, Yuming Chong, et al.. (2023). Development and Validation of a Comprehensive Perioral Evaluation Method Using Three-Dimensional Stereophotogrammetry. Aesthetic Plastic Surgery. 47(6). 2389–2400. 5 indexed citations
12.
Chong, Yuming, Zhijin Li, Dingyue Zhang, et al.. (2022). Ultrasonographic analysis of the calves for efficient botulinum toxin type A injection. Journal of Cosmetic Dermatology. 21(10). 4301–4306. 4 indexed citations
13.
14.
Li, Zhijin, Yanlong Yang, Nanze Yu, et al.. (2021). The “Visible” Muscles on Ultrasound Imaging Make Botulinum Toxin Injection More Precise: A Systematic Review. Aesthetic Plastic Surgery. 46(1). 406–418. 8 indexed citations
15.
Chong, Yuming, Yijun Wu, Jianghao Liu, et al.. (2021). Clinicopathological models for predicting lymph node metastasis in patients with early-stage lung adenocarcinoma: the application of machine learning algorithms. Journal of Thoracic Disease. 13(7). 4033–4042. 8 indexed citations
16.
Chong, Yuming, Xiao Long, & Yuh‐Shan Ho. (2021). Scientific landscape and trend analysis of keloid research: a 30-year bibliometric review. Annals of Translational Medicine. 9(11). 945–945. 13 indexed citations
17.
Wu, Yijun, Yuming Chong, Han Chang, et al.. (2021). Second primary malignancies associated with radiation therapy in cervical cancer patients diagnosed between 1975 and 2011: a population-based competing-risk study. Annals of Translational Medicine. 9(17). 1375–1375. 7 indexed citations
18.
Wu, Yijun, Han Chang, Liang Gong, et al.. (2020). Metastatic Patterns of Mediastinal Lymph Nodes in Small-Size Non-small Cell Lung Cancer (T1b). Frontiers in Surgery. 7. 580203–580203. 5 indexed citations
19.
Wu, Yijun, Jianghao Liu, Han Chang, et al.. (2020). Preoperative Prediction of Lymph Node Metastasis in Patients With Early-T-Stage Non-small Cell Lung Cancer by Machine Learning Algorithms. Frontiers in Oncology. 10. 743–743. 23 indexed citations
20.
Teng, Yue, Lin Zhu, Yuming Chong, et al.. (2019). The Modified McIndoe Technique: A Scar-free Surgical Approach for Vaginoplasty With an Autologous Micromucosa Graft. Urology. 131. 240–244. 8 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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