Yinghua Zhong

896 total citations · 1 hit paper
9 papers, 563 citations indexed

About

Yinghua Zhong is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biological Psychiatry. According to data from OpenAlex, Yinghua Zhong has authored 9 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Pulmonary and Respiratory Medicine and 2 papers in Biological Psychiatry. Recurrent topics in Yinghua Zhong's work include Radiomics and Machine Learning in Medical Imaging (4 papers), Lung Cancer Diagnosis and Treatment (3 papers) and Tryptophan and brain disorders (2 papers). Yinghua Zhong is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Lung Cancer Diagnosis and Treatment (3 papers) and Tryptophan and brain disorders (2 papers). Yinghua Zhong collaborates with scholars based in China and United States. Yinghua Zhong's co-authors include Xueguo Liu, Kunwei Li, Peixin Qin, Shaolin Li, Cunxue Pan, Yijie Fang, Mingqian Huang, Wenjuan Li, Yuting Liao and Kunfeng Liu and has published in prestigious journals such as Scientific Reports, International Journal of Radiation Oncology*Biology*Physics and European Radiology.

In The Last Decade

Yinghua Zhong

8 papers receiving 550 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

CT image visual quantitative evaluation and clinical classification of coronavirus disease (COVID-19)

2020 476 citations Kunwei Li, Yijie Fang et al. European Radiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yinghua Zhong China	6	364	277	122	118	91	9	563
Cunxue Pan China	3	324 0.9×	286 1.0×	137 1.1×	72 0.6×	87 1.0×	3	512
Peixin Qin China	8	418 1.1×	287 1.0×	137 1.1×	175 1.5×	96 1.1×	17	654
Young Kyung Lee South Korea	7	357 1.0×	267 1.0×	80 0.7×	96 0.8×	90 1.0×	19	564
Ki Hwan Kim South Korea	8	548 1.5×	230 0.8×	77 0.6×	144 1.2×	100 1.1×	14	758
Souhail Bennani France	10	279 0.8×	189 0.7×	85 0.7×	210 1.8×	82 0.9×	24	592
Inès Saab France	6	248 0.7×	395 1.4×	146 1.2×	80 0.7×	154 1.7×	6	621
Pinggui Lei China	9	322 0.9×	159 0.6×	119 1.0×	91 0.8×	45 0.5×	36	611
Cailiang Gao China	5	298 0.8×	457 1.6×	240 2.0×	79 0.7×	116 1.3×	5	698
Jasenko Krdzalic Netherlands	6	393 1.1×	359 1.3×	122 1.0×	94 0.8×	190 2.1×	13	681
Dong Sun China	7	310 0.9×	275 1.0×	135 1.1×	64 0.5×	83 0.9×	11	557

Countries citing papers authored by Yinghua Zhong

Since Specialization

Citations

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

Fields of papers citing papers by Yinghua Zhong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yinghua Zhong

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Shen, Junwei, et al.. (2025). Neuroendocrine characterization into schizophrenia: norepinephrine and melatonin as promising biomarkers. Frontiers in Endocrinology. 16. 1551172–1551172.

2.

Zhang, Shuaitong, Kunwei Li, Yuchen Sun, et al.. (2024). Deep Learning for Automatic Gross Tumor Volumes Contouring in Esophageal Cancer Based on Contrast-Enhanced Computed Tomography Images: A Multi-Institutional Study. International Journal of Radiation Oncology*Biology*Physics. 119(5). 1590–1600. 5 indexed citations

3.

Zhong, Yinghua. (2022). Review on Digital Currency. Advances in economics, business and management research. 211. 3 indexed citations

4.

Zhong, Yinghua, Qiang Wang, Zhen‐Dong Yang, et al.. (2021). The prevalence and related factors of metabolic syndrome in outpatients with first-episode drug-naive major depression comorbid with anxiety. Scientific Reports. 11(1). 3324–3324. 11 indexed citations

5.

Liu, Kunfeng, Yinghua Zhong, Mingzhu Liang, et al.. (2021). Assessing the predictive accuracy of lung cancer, metastases, and benign lesions using an artificial intelligence-driven computer aided diagnosis system. Quantitative Imaging in Medicine and Surgery. 11(8). 3629–3642. 22 indexed citations

6.

Liang, Min, et al.. (2021). Construction of a Prognostic Model in Lung Adenocarcinoma Based on Ferroptosis-Related Genes. Frontiers in Genetics. 12. 739520–739520. 7 indexed citations

7.

Liu, Kunfeng, Kunwei Li, Tingfan Wu, et al.. (2021). Improving the accuracy of prognosis for clinical stage I solid lung adenocarcinoma by radiomics models covering tumor per se and peritumoral changes on CT. European Radiology. 32(2). 1065–1077. 27 indexed citations

8.

Li, Kunwei, Xueguo Liu, Rowena Yip, et al.. (2021). Early prediction of severity in coronavirus disease (COVID-19) using quantitative CT imaging. Clinical Imaging. 78. 223–229. 12 indexed citations

9.

Li, Kunwei, Yijie Fang, Wenjuan Li, et al.. (2020). CT image visual quantitative evaluation and clinical classification of coronavirus disease (COVID-19). European Radiology. 30(8). 4407–4416. 476 indexed citations breakdown →

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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