Xiaohui Su
Impact in
-
- Thyroid Disorders and Treatments
- Thyroid Cancer Diagnosis and Treatment
- Environmental Engineering top 10%
- Remote Sensing and LiDAR Applications
Papers in
-
- Thyroid Disorders and Treatments 12
- Thyroid Cancer Diagnosis and Treatment 6
- Co-authors
- Hongmei Shen (10 shared papers)Dianjun Sun (6 shared papers)Shoujun Liu (12 shared papers)Chunxiao Cui (9 shared papers)Feixiang Chen (5 shared papers)Yanqi Dong (4 shared papers)Guangpeng Fan (2 shared papers)Liangliang Nan (1 shared paper)
- Journals
- Forests (6 papers)Remote Sensing (5 papers)British Journal Of Nutrition (4 papers)IEEE Geoscience and Remote Sensing Letters (2 papers)Academic Radiology (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Xiaohui Su
59 papers receiving 714 citations
Peers
Comparison fields: 5 of 115
- Endocrinology, Diabetes and Metabolism 225
- Environmental Engineering 106
- Nature and Landscape Conservation 71
- Radiology, Nuclear Medicine and Imaging 134
- Pathology and Forensic Medicine 92
Countries citing papers authored by Xiaohui Su
This map shows the geographic impact of Xiaohui Su'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 Xiaohui Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohui Su more than expected).
Fields of papers citing papers by Xiaohui Su
This network shows the impact of papers produced by Xiaohui Su. 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 Xiaohui Su. The network helps show where Xiaohui Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaohui Su, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 100 | |
| 2 | 2020 | 84 | |
| 3 | 2011 | 72 | |
| 4 | 2020 | 37 | |
| 5 | 2010 | 31 | |
| 6 | 2021 | 27 | |
| 7 | 2016 | 26 | |
| 8 | 2021 | 24 | |
| 9 | 2018 | 24 | |
| 10 | 2014 | 23 | |
| 11 | 2016 | 23 | |
| 12 | 2007 | 23 | |
| 13 | 2020 | 22 | |
| 14 | 2016 | 17 | |
| 15 | 2020 | 12 | |
| 16 | 2024 | 11 | |
| 17 | 2019 | 11 | |
| 18 | 2009 | 11 | |
| 19 | 2018 | 10 | |
| 20 | 2017 | 10 |
About Xiaohui Su
Xiaohui Su is a scholar working on Endocrinology, Diabetes and Metabolism, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Global and Planetary Change and Ecology, having authored 65 papers that have together received 735 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (12 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Neonatal Health and Biochemistry (6 papers), Breast Cancer Treatment Studies (6 papers), Thyroid Cancer Diagnosis and Treatment (6 papers), Land Use and Ecosystem Services (5 papers), Forest ecology and management (5 papers) and Remote Sensing in Agriculture (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (225 citations), Environmental Engineering (106 citations), Nature and Landscape Conservation (71 citations), Radiology, Nuclear Medicine and Imaging (134 citations) and Pathology and Forensic Medicine (92 citations). Xiaohui Su has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Hongmei Shen, Dianjun Sun, Shoujun Liu, Chunxiao Cui, Feixiang Chen, Yanqi Dong, Guangpeng Fan, Liangliang Nan, Qing Lin and Jun Yan. Their work appears in journals such as Forests, Remote Sensing, British Journal Of Nutrition, IEEE Geoscience and Remote Sensing Letters and Academic Radiology.
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.