Xiaohong Jia
- Computer Vision and Pattern Recognition top 2%
- Media Technology top 1%
- Animal Science and Zoology top 2%
- Artificial Intelligence top 5%
- Molecular Biology
- Co-authors
- Tao LeiAsoke K. NandiHongying MengYanning ZhangKristin HollungKjell Ivar HildrumShigang LiuLifeng He
- Topics
- Medical Image Segmentation Techniques (8 papers)AI in cancer detection (8 papers)Radiomics and Machine Learning in Medical Imaging (7 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaIEEE Access
- Partner nations
- ChinaUnited KingdomNorway
In The Last Decade
Xiaohong Jia
35 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Computer Vision and Pattern Recognition 615
- Media Technology 373
- Animal Science and Zoology 352
- Artificial Intelligence 318
- Molecular Biology 317
Countries citing papers authored by Xiaohong Jia
This map shows the geographic impact of Xiaohong Jia'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 Xiaohong Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohong Jia more than expected).
Fields of papers citing papers by Xiaohong Jia
This network shows the impact of papers produced by Xiaohong Jia. 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 Xiaohong Jia. The network helps show where Xiaohong Jia may publish in the future.
Co-authorship network of co-authors of Xiaohong Jia
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohong Jia. A scholar is included among the top collaborators of Xiaohong Jia 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 Xiaohong Jia. Xiaohong Jia 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 | 8 | |
| 3 | 3 | |
| 4 | 12 | |
| 5 | 4 | |
| 6 | Clinical Application of Computer-Aided Diagnosis for Breast Ultrasonography: Factors That Lead to Discordant Results in Radial and Antiradial Planes | 6 |
| 7 | 1 | |
| 8 | 14 | |
| 9 | 200 | |
| 10 | 4 | |
| 11 | 3 | |
| 12 | 6 | |
| 13 | 15 | |
| 14 | 0 | |
| 15 | Adaptive Morphological Reconstruction for Seeded Image Segmentation | 62 |
| 16 | 271 | |
| 17 | 33 | |
| 18 | 85 | |
| 19 | 82 | |
| 20 | 86 |
About Xiaohong Jia
Xiaohong Jia is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Instrumentation, having authored 39 papers that have together received 1.8k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (8 papers), AI in cancer detection (8 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). The work is most often cited by research in Media Technology (373 citations), Animal Science and Zoology (352 citations) and Computer Vision and Pattern Recognition (615 citations). Xiaohong Jia has collaborated with scholars based in China, United Kingdom and Norway. Frequent co-authors include Tao Lei, Asoke K. Nandi, Hongying Meng, Yanning Zhang, Kristin Hollung, Kjell Ivar Hildrum, Shigang Liu, Lifeng He, L. Aass and Ellen Mosleth Færgestad. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and IEEE Access.
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.