Jianan Chen
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence top 10%
- Biomedical Engineering
- Media Technology top 5%
- Co-authors
- Xiaoping YangJun MaMatthew NgAnne L. MartelRui HuangChen LiLiquan ShenJun Luo
- Topics
- Advanced Optical Sensing Technologies (4 papers)Radiomics and Machine Learning in Medical Imaging (4 papers)Advanced Neural Network Applications (4 papers)
- Cited by
- Health InformaticsComputer Vision and Pattern RecognitionRadiology, Nuclear Medicine and Imaging
- Journals
- SHILAP Revista de lepidopterologíaBiomaterialsElectrochimica Acta
In The Last Decade
Jianan Chen
27 papers receiving 569 citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Computer Vision and Pattern Recognition 254
- Radiology, Nuclear Medicine and Imaging 224
- Artificial Intelligence 138
- Biomedical Engineering 98
- Media Technology 66
Countries citing papers authored by Jianan Chen
This map shows the geographic impact of Jianan Chen'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 Jianan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianan Chen more than expected).
Fields of papers citing papers by Jianan Chen
This network shows the impact of papers produced by Jianan Chen. 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 Jianan Chen. The network helps show where Jianan Chen may publish in the future.
Co-authorship network of co-authors of Jianan Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Jianan Chen. A scholar is included among the top collaborators of Jianan Chen 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 Jianan Chen. Jianan Chen 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 | 0 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 4 | |
| 8 | 7 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 10 | |
| 12 | 14 | |
| 13 | 2 | |
| 14 | Loss odyssey in medical image segmentationbreakdown → | 316 |
| 15 | 19 | |
| 16 | 13 | |
| 17 | Towards Efficient COVID-19 CT Annotation: A Benchmark for Lung and Infection Segmentation | 51 |
| 18 | How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study | 21 |
| 19 | 40 | |
| 20 | 27 |
About Jianan Chen
Jianan Chen is a scholar working on Instrumentation, Computer Vision and Pattern Recognition and Biophysics, having authored 32 papers that have together received 580 indexed citations. Recurring topics across this work include Advanced Optical Sensing Technologies (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Health Informatics (17 citations), Computer Vision and Pattern Recognition (254 citations) and Radiology, Nuclear Medicine and Imaging (224 citations). Jianan Chen has collaborated with scholars based in China, Canada and Hong Kong. Frequent co-authors include Xiaoping Yang, Jun Ma, Matthew Ng, Anne L. Martel, Rui Huang, Chen Li, Liquan Shen, Jun Luo, Ping An and Xuhao Jiang. Their work appears in journals such as SHILAP Revista de lepidopterología, Biomaterials and Electrochimica Acta.
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.