Jiapan Guo
- Radiology, Nuclear Medicine and Imaging top 10%
- Biomedical Engineering
- Oral Surgery top 5%
- Pulmonary and Respiratory Medicine
- Artificial Intelligence
- Co-authors
- Peter M. A. van OoijenMax J. H. WitjesRonald BorraBingjiang QiuJoep KraeimaHaye H. GlasMatthijs OudkerkZhouzhou Zheng
- Topics
- Radiomics and Machine Learning in Medical Imaging (6 papers)Dental Radiography and Imaging (6 papers)Lung Cancer Diagnosis and Treatment (6 papers)
- Partner nations
- NetherlandsChinaAustralia
In The Last Decade
Jiapan Guo
24 papers receiving 363 citations
Peers
Comparison fields: 5 of 87
- Radiology, Nuclear Medicine and Imaging 163
- Biomedical Engineering 128
- Oral Surgery 99
- Pulmonary and Respiratory Medicine 68
- Artificial Intelligence 44
Countries citing papers authored by Jiapan Guo
This map shows the geographic impact of Jiapan Guo'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 Jiapan Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiapan Guo more than expected).
Fields of papers citing papers by Jiapan Guo
This network shows the impact of papers produced by Jiapan Guo. 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 Jiapan Guo. The network helps show where Jiapan Guo may publish in the future.
Co-authorship network of co-authors of Jiapan Guo
This figure shows the co-authorship network connecting the top 25 collaborators of Jiapan Guo. A scholar is included among the top collaborators of Jiapan Guo 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 Jiapan Guo. Jiapan Guo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 8 | |
| 4 | 9 | |
| 5 | 8 | |
| 6 | 7 | |
| 7 | 10 | |
| 8 | 22 | |
| 9 | 9 | |
| 10 | 17 | |
| 11 | 21 | |
| 12 | 14 | |
| 13 | 2 | |
| 14 | 46 | |
| 15 | 43 | |
| 16 | 36 | |
| 17 | 3D segmentation of mandible from multisectional CT scans by convolutional neural networks | 3 |
| 18 | 4 | |
| 19 | 5 | |
| 20 | Automatic Optic Disk Localization and Diameter Estimation in Retinal Fundus Images | 1 |
About Jiapan Guo
Jiapan Guo is a scholar working on Oral Surgery, Otorhinolaryngology and Radiology, Nuclear Medicine and Imaging, having authored 25 papers that have together received 368 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), Dental Radiography and Imaging (6 papers) and Lung Cancer Diagnosis and Treatment (6 papers). The work is most often cited by research in Health Informatics (21 citations), Oral Surgery (99 citations) and Radiology, Nuclear Medicine and Imaging (163 citations). Jiapan Guo has collaborated with scholars based in Netherlands, China and Australia. Frequent co-authors include Peter M. A. van Ooijen, Max J. H. Witjes, Ronald Borra, Bingjiang Qiu, Joep Kraeima, Haye H. Glas, Matthijs Oudkerk, Zhouzhou Zheng, George Azzopardi and Chenyu Shi. Their work appears in journals such as American Journal Of Pathology, IEEE Access and Physics in Medicine and Biology.
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.