Jun Ding
Impact in
- Parasitology top 5%
- Toxoplasma gondii Research Studies
- Parasitic Infections and Diagnostics
- Mechanics of Materials top 10%
- Fatigue and fracture mechanics
- Metallurgy and Material Forming
- Mechanical stress and fatigue analysis
Papers in
-
- Fatigue and fracture mechanics 7
-
- Radiomics and Machine Learning in Medical Imaging 6
- MRI in cancer diagnosis 5
- Co-authors
- Guozheng Kang (7 shared papers)Yujie Liu (2 shared papers)Qing Gao (1 shared paper)Wei Zhang (4 shared papers)Qun Liu (3 shared papers)Jing Liu (2 shared papers)Jinhai Yu (2 shared papers)Zhaofei Xia (1 shared paper)
- Journals
- Parasitology Research (4 papers)BMC Oral Health (3 papers)Veterinary Parasitology (2 papers)ACS Chemical Neuroscience (1 paper)Annals of Palliative Medicine (1 paper)
- Partner nations
- ChinaKenyaNew Zealand
In The Last Decade
Jun Ding
30 papers receiving 471 citations
Peers
Comparison fields: 5 of 75
- Parasitology 115
- Mechanics of Materials 190
- Mechanical Engineering 201
- Small Animals 37
- Animal Science and Zoology 49
Countries citing papers authored by Jun Ding
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
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-authors
The 25 scholars most cited alongside Jun Ding, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 184 | |
| 2 | 2006 | 56 | |
| 3 | 2014 | 30 | |
| 4 | 2011 | 25 | |
| 5 | 2006 | 21 | |
| 6 | 2013 | 21 | |
| 7 | 2008 | 20 | |
| 8 | 2021 | 19 | |
| 9 | 2011 | 17 | |
| 10 | 2021 | 13 | |
| 11 | 2020 | 9 | |
| 12 | 2008 | 9 | |
| 13 | 2022 | 8 | |
| 14 | 2012 | 7 | |
| 15 | 2019 | 7 | |
| 16 | 2021 | 6 | |
| 17 | 2008 | 5 | |
| 18 | 2009 | 4 | |
| 19 | 2009 | 3 | |
| 20 | 2004 | 3 |
About Jun Ding
Jun Ding is a scholar working on Mechanics of Materials, Radiology, Nuclear Medicine and Imaging, Parasitology, Mechanical Engineering and Small Animals, having authored 31 papers that have together received 480 indexed citations. Recurring topics across this work include Fatigue and fracture mechanics (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), High Temperature Alloys and Creep (5 papers), MRI in cancer diagnosis (5 papers), Toxoplasma gondii Research Studies (5 papers), Coccidia and coccidiosis research (4 papers), Veterinary medicine and infectious diseases (4 papers) and Parasitic Infections and Diagnostics (4 papers). The work is most often cited by research in Parasitology (115 citations), Mechanics of Materials (190 citations), Mechanical Engineering (201 citations), Small Animals (37 citations) and Animal Science and Zoology (49 citations). Jun Ding has collaborated with scholars based in China, Kenya and New Zealand. Frequent co-authors include Guozheng Kang, Yujie Liu, Qing Gao, Wei Zhang, Qun Liu, Jing Liu, Jinhai Yu, Zhaofei Xia, Qun Liu and Yaming Shan. Their work appears in journals such as Parasitology Research, BMC Oral Health, Veterinary Parasitology, ACS Chemical Neuroscience and Annals of Palliative Medicine.
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.