Defang Ding

930 total citations
36 papers, 662 citations indexed

About

Defang Ding is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Defang Ding has authored 36 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Pulmonary and Respiratory Medicine and 8 papers in Molecular Biology. Recurrent topics in Defang Ding's work include Radiomics and Machine Learning in Medical Imaging (11 papers), Radiation Dose and Imaging (6 papers) and Medical Imaging Techniques and Applications (5 papers). Defang Ding is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (11 papers), Radiation Dose and Imaging (6 papers) and Medical Imaging Techniques and Applications (5 papers). Defang Ding collaborates with scholars based in China, United States and United Kingdom. Defang Ding's co-authors include James G. Martin, Peter T. Macklem, Yue Xing, Jingyu Zhong, Weiwu Yao, Lina Yin, Yangfan Hu, Honghong Chen, Huan Zhang and Xuxia Zhang and has published in prestigious journals such as Hepatology, Scientific Reports and Journal of Applied Physiology.

In The Last Decade

Defang Ding

32 papers receiving 651 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Defang Ding China	11	314	222	177	110	91	36	662
Oscar Rosales United States	17	190 0.6×	57 0.3×	113 0.6×	91 0.8×	33 0.4×	27	754
Amanda Varnava United Kingdom	14	286 0.9×	94 0.4×	417 2.4×	265 2.4×	73 0.8×	35	2.6k
Cengiz Bekir Demirel Türkiye	15	252 0.8×	26 0.1×	243 1.4×	52 0.5×	46 0.5×	28	759
Stacy B. O’Blenes Canada	14	163 0.5×	52 0.2×	37 0.2×	95 0.9×	61 0.7×	25	606
Tjeerd Germans Netherlands	28	131 0.4×	68 0.3×	746 4.2×	333 3.0×	81 0.9×	103	2.3k
Mitsugu Omasa Japan	17	400 1.3×	48 0.2×	70 0.4×	30 0.3×	53 0.6×	66	822
Masato Yoshikawa Japan	18	160 0.5×	47 0.2×	104 0.6×	79 0.7×	109 1.2×	78	890
Jean Pierre Villemot France	13	75 0.2×	56 0.3×	92 0.5×	28 0.3×	59 0.6×	33	586
Gunjan Parikh United States	16	133 0.4×	39 0.2×	60 0.3×	190 1.7×	76 0.8×	57	876
Michal Kamionek United States	12	113 0.4×	58 0.3×	24 0.1×	67 0.6×	30 0.3×	19	503

Countries citing papers authored by Defang Ding

Since Specialization

Citations

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

Fields of papers citing papers by Defang Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Defang Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Defang Ding. A scholar is included among the top collaborators of Defang Ding 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 Defang Ding. Defang Ding 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

Xing, Yue, Yangfan Hu, Xian‐Wei Liu, et al.. (2025). Bone Reporting and Data System on MRI (Bone-RADS-MRI): a validation study by four readers on 275 cases from three local and two public databases. Insights into Imaging. 16(1). 155–155.

Xing, Yue, Defang Ding, Shun Dai, et al.. (2025). Bone reporting and data system on CT (Bone-RADS-CT): a validation study by four readers on 328 cases from three local and two public databases. Insights into Imaging. 16(1). 174–174.

Zhong, Jingyu, Lingling Wang, Chao Yan, et al.. (2024). Deep learning image reconstruction generates thinner slice iodine maps with improved image quality to increase diagnostic acceptance and lesion conspicuity: a prospective study on abdominal dual-energy CT. BMC Medical Imaging. 24(1). 159–159. 6 indexed citations

Zhong, Jingyu, Liwei Chen, Yue Xing, et al.. (2024). Just give the contrast? Appraisal of guidelines on intravenous iodinated contrast media use in patients with kidney disease. Insights into Imaging. 15(1). 77–77.

Zhong, Jingyu, Shiqi Mao, Haoda Chen, et al.. (2024). Node-RADS: a systematic review and meta-analysis of diagnostic performance, category-wise malignancy rates, and inter-observer reliability. European Radiology. 35(5). 2723–2735. 10 indexed citations

Zhong, Jingyu, Guangcheng Zhang, Shiqi Mao, et al.. (2023). An overview of meta-analyses on radiomics: more evidence is needed to support clinical translation. Insights into Imaging. 14(1). 111–111. 18 indexed citations

Ding, Defang, et al.. (2023). Bioinformatics and Experimental Study Revealed LINC00982/miR-183-5p/ABCA8 Axis Suppresses LUAD Progression. Current Cancer Drug Targets. 24(6). 654–667. 1 indexed citations

Zhong, Jingyu, Lingyun Wang, Hailin Shen, et al.. (2023). Improving lesion conspicuity in abdominal dual-energy CT with deep learning image reconstruction: a prospective study with five readers. European Radiology. 33(8). 5331–5343. 10 indexed citations

Zhong, Jingyu, Xian‐Wei Liu, Yangfan Hu, et al.. (2023). Robustness of Quantitative Diffusion Metrics from Four Models: A Prospective Study on the Influence of Scan‐Rescans, Voxel Size, Coils, and Observers. Journal of Magnetic Resonance Imaging. 60(4). 1470–1483. 1 indexed citations

10.

Zhong, Jingyu, Yue Xing, Guangcheng Zhang, et al.. (2023). A systematic review of radiomics in giant cell tumor of bone (GCTB): the potential of analysis on individual radiomics feature for identifying genuine promising imaging biomarkers. Journal of Orthopaedic Surgery and Research. 18(1). 414–414. 2 indexed citations

11.

Zhong, Jingyu, Yangfan Hu, Jing Zhang, et al.. (2022). Automated prediction of the neoadjuvant chemotherapy response in osteosarcoma with deep learning and an MRI-based radiomics nomogram. European Radiology. 32(9). 6196–6206. 34 indexed citations

12.

Zhong, Jingyu, Yangfan Hu, Yue Xing, et al.. (2022). A systematic review of radiomics in pancreatitis: applying the evidence level rating tool for promoting clinical transferability. Insights into Imaging. 13(1). 139–139. 12 indexed citations

13.

Zhong, Jingyu, Yangfan Hu, Guangcheng Zhang, et al.. (2022). An updated systematic review of radiomics in osteosarcoma: utilizing CLAIM to adapt the increasing trend of deep learning application in radiomics. Insights into Imaging. 13(1). 138–138. 17 indexed citations

14.

Zhong, Jingyu, Yangfan Hu, Yue Xing, et al.. (2022). A systematic review of radiomics in chondrosarcoma: assessment of study quality and clinical value needs handy tools. European Radiology. 33(2). 1433–1444. 19 indexed citations

15.

Zhang, Yan, et al.. (2018). Stretch-induced Expression of CYR61 Increases the Secretion of IL-8 in A549 Cells via the NF-κβ/lκβ Pathway. Current Medical Science. 38(4). 672–678. 6 indexed citations

16.

French, Dorothy, Erik G. Huntzicker, Zachary Goodman, et al.. (2016). Hepatic expression of lysyl oxidase-like-2 ( LOXL2) in primary sclerosing cholangitis (PSC). Hepatology. 64. 3 indexed citations

17.

He, Linfeng, Defang Ding, Xufei Wang, et al.. (2016). Establishment of a γ-H2AX foci-based assay to determine biological dose of radon to red bone marrow in rats. Scientific Reports. 6(1). 30018–30018. 9 indexed citations

18.

Ding, Defang, Jing Wang, Xufei Wang, et al.. (2016). γ-H2AX/53BP1/pKAP-1 foci and their linear tracks induced by in vitro exposure to radon and its progeny in human peripheral blood lymphocytes. Scientific Reports. 6(1). 38295–38295. 18 indexed citations

19.

Wang, Jing, Lina Yin, Junxiang Zhang, et al.. (2016). The profiles of gamma-H2AX along with ATM/DNA-PKcs activation in the lymphocytes and granulocytes of rat and human blood exposed to gamma rays. Radiation and Environmental Biophysics. 55(3). 359–370. 6 indexed citations

20.

Wang, Jing, Ya‐Ping Zhang, Defang Ding, et al.. (2015). Evaluation of applying γ-H2AX as a radiation biodosimetry with an animal model. Zhonghua fangshe yixue yu fanghu zazhi. 35(5). 329–333. 1 indexed citations

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