Jun Ding

598 total citations
31 papers, 480 citations indexed

About

Jun Ding is a scholar working on Mechanics of Materials, Radiology, Nuclear Medicine and Imaging and Parasitology. According to data from OpenAlex, Jun Ding has authored 31 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Mechanics of Materials, 7 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Parasitology. Recurrent topics in Jun Ding's work include Fatigue and fracture mechanics (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and MRI in cancer diagnosis (5 papers). Jun Ding is often cited by papers focused on Fatigue and fracture mechanics (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and MRI in cancer diagnosis (5 papers). Jun Ding collaborates with scholars based in China, Kenya and New Zealand. Jun Ding's co-authors include Guozheng Kang, Yujie Liu, Qing Gao, Qun Liu, Wei Zhang, Jing Liu, Jinhai Yu, Zhaofei Xia, Qun Liu and Yaming Shan and has published in prestigious journals such as Molecules, Materials and Annals of Surgical Oncology.

In The Last Decade

Jun Ding

30 papers receiving 471 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Ding China 10 201 190 115 73 49 31 480
Motoo ASAKAWA Japan 14 307 1.5× 200 1.1× 55 0.5× 111 1.5× 9 0.2× 77 521
Guangzhi He China 16 259 1.3× 65 0.3× 49 0.4× 117 1.6× 19 0.4× 49 644
Linhan Li China 17 218 1.1× 58 0.3× 128 1.1× 165 2.3× 18 0.4× 63 656
Chaoyue Wang China 16 244 1.2× 377 2.0× 116 1.0× 8 0.1× 168 3.4× 55 731
Amir Ghorbani United States 11 80 0.4× 43 0.2× 14 0.1× 37 0.5× 92 1.9× 34 394
Robert J. Flynn Ireland 7 94 0.5× 38 0.2× 80 0.7× 133 1.8× 29 0.6× 13 435
Jee‐Yong Park South Korea 15 65 0.3× 19 0.1× 50 0.4× 64 0.9× 81 1.7× 38 671
J. R. Audy Australia 13 192 1.0× 158 0.8× 180 1.6× 135 1.8× 7 0.1× 51 640
Linda Griffiths United Kingdom 9 29 0.1× 103 0.5× 67 0.6× 110 1.5× 39 0.8× 13 636
Mitsuo Ishii Japan 13 30 0.1× 27 0.1× 30 0.3× 67 0.9× 52 1.1× 70 603

Countries citing papers authored by Jun Ding

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Ding. A scholar is included among the top collaborators of Jun 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 Jun Ding. Jun Ding 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.
Zhang, Hao, et al.. (2023). Application of MR Imaging Characteristics in the Differentiation of Renal Changes Between Patients with Stage III Type 2 Diabetic Kidney Disease and Healthy People. Diabetes Metabolic Syndrome and Obesity. Volume 16. 2177–2186. 1 indexed citations
3.
Ding, Jun, Long Yang, & Wei Liu. (2023). Failure Mechanism Research on Bending Fretting Fatigue of 6061-T6 Aluminum Alloy by Experiment and Finite Element Method. Materials. 16(11). 4161–4161. 1 indexed citations
4.
Huang, Chencui, et al.. (2023). Differentiation of neurogenic tumours and pleomorphic adenomas in the parapharyngeal space based on texture analysis of T2WI. BMC Oral Health. 23(1). 548–548. 2 indexed citations
5.
Lv, Wenjie, Jinchao Zhao, Yanhong Zhang, et al.. (2023). Microchannel structure affects fine particulate pollutant interception characteristics. Process Safety and Environmental Protection. 179. 421–429. 2 indexed citations
6.
Huang, Chencui, et al.. (2022). Application of MR Imaging Features in Differentiation of Renal Changes in Patients With Stage III Type 2 Diabetic Nephropathy and Normal Subjects. Frontiers in Endocrinology. 13. 846407–846407. 8 indexed citations
7.
Huang, Chencui, Jingxu Xu, Shuo Liu, et al.. (2021). Prediction of the degree of pathological differentiation in tongue squamous cell carcinoma based on radiomics analysis of magnetic resonance images. BMC Oral Health. 21(1). 585–585. 6 indexed citations
8.
Ding, Jun, et al.. (2021). Evaluation of immunoprotective effects of recombinant protein and DNA vaccine based on Eimeria tenella surface antigen 16 and 22 in vivo. Parasitology Research. 120(5). 1861–1871. 13 indexed citations
9.
Huang, Chencui, et al.. (2021). Application of first-order feature analysis of DWI-ADC in rare malignant mesenchymal tumours of the maxillofacial region. BMC Oral Health. 21(1). 463–463. 1 indexed citations
10.
Shan, Yaming, et al.. (2021). A literature review of MRI techniques used to detect amyloid-beta plaques in Alzheimer’s disease patients. Annals of Palliative Medicine. 10(9). 10062–10074. 19 indexed citations
11.
Ding, Jun, Qian Zhang, Xiaomei Wang, et al.. (2020). Synergistic Activity of Nitroimidazole-Oxazolidinone Conjugates against Anaerobic Bacteria. Molecules. 25(10). 2431–2431. 9 indexed citations
12.
Ge, Pengfei, Jun Ding, Hong Zhang, et al.. (2014). Primary case of human pneumonic plague occurring in a Himalayan marmot natural focus area Gansu Province, China. International Journal of Infectious Diseases. 33. 67–70. 30 indexed citations
13.
Ding, Jun, Guozheng Kang, Yilin Zhu, & Minhao Zhu. (2013). Finite element analysis on bending fretting fatigue of 316L stainless steel considering ratchetting and cyclic hardening. International Journal of Mechanical Sciences. 86. 26–33. 21 indexed citations
14.
Ding, Jun, et al.. (2012). Anti-Recombinant Gametocyte 56 Protein IgY Protected Chickens from Homologous Coccidian Infection. Journal of Integrative Agriculture. 11(10). 1721–1728. 7 indexed citations
15.
Ding, Jun, et al.. (2011). Multi-epitope recombinant vaccine induces immunoprotection against mixed infection of Eimeria spp.. Parasitology Research. 110(6). 2297–2306. 17 indexed citations
16.
Ding, Jun, Guozheng Kang, Qianhua Kan, & Yujie Liu. (2011). Constitutive model for uniaxial time-dependent ratcheting of 6061-T6 aluminum alloy. Computational Materials Science. 57. 67–72. 25 indexed citations
17.
Li, Xuelian, et al.. (2009). Expression of the tandem enhanced yellow fluorescent marker gene in Toxoplasma gondii. Parasitology Research. 105(1). 287–291. 1 indexed citations
18.
Ding, Jun, et al.. (2008). Immunoprotection of chickens against Eimeria acervulina by recombinant α-tubulin protein. Parasitology Research. 103(5). 1133–1140. 20 indexed citations
19.
Yu, Jinhai, Zhaofei Xia, Qun Liu, et al.. (2006). Seroepidemiology of Neospora caninum and Toxoplasma gondii in cattle and water buffaloes (Bubalus bubalis) in the People's Republic of China. Veterinary Parasitology. 143(1). 79–85. 56 indexed citations
20.
Liu, Jing, Ming Wang, Qun Liu, et al.. (2006). Serodiagnosis of Neospora caninum infection in cattle using a recombinant tNcSRS2 protein-based ELISA. Veterinary Parasitology. 143(3-4). 358–363. 21 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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