Cong Xia
Impact in
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
-
- Cancer-related molecular mechanisms research
Papers in
-
- Acute Kidney Injury Research 4
- Co-authors
- Xianguang Yang (3 shared papers)Chenglai Xia (4 shared papers)Naijing Hu (1 shared paper)Zongchang Du (1 shared paper)Di Wang (1 shared paper)Yuanchao Xue (1 shared paper)Xiaohua Yu (1 shared paper)Zhaokui Cai (1 shared paper)
- Journals
- Frontiers in Pharmacology (4 papers)Cellular and Molecular Life Sciences (4 papers)European Radiology (3 papers)Knowledge-Based Systems (2 papers)JHEP Reports (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Cong Xia
69 papers receiving 848 citations
Peers
Comparison fields: 5 of 98
- Hepatology 68
- Cancer Research 89
- Radiology, Nuclear Medicine and Imaging 127
- Media Technology 41
- Molecular Biology 249
Countries citing papers authored by Cong Xia
This map shows the geographic impact of Cong Xia'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 Cong Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Xia more than expected).
Fields of papers citing papers by Cong Xia
This network shows the impact of papers produced by Cong Xia. 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 Cong Xia. The network helps show where Cong Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Cong Xia, 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 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 231 | |
| 2 | 2021 | 42 | |
| 3 | 2023 | 33 | |
| 4 | 2021 | 29 | |
| 5 | 2023 | 27 | |
| 6 | 2022 | 25 | |
| 7 | 2022 | 21 | |
| 8 | 2023 | 21 | |
| 9 | 2021 | 20 | |
| 10 | 2023 | 20 | |
| 11 | 2024 | 20 | |
| 12 | 2021 | 19 | |
| 13 | 2022 | 19 | |
| 14 | 2022 | 18 | |
| 15 | 2022 | 18 | |
| 16 | 2023 | 17 | |
| 17 | 2023 | 16 | |
| 18 | 2019 | 15 | |
| 19 | 2025 | 15 | |
| 20 | 2022 | 13 |
About Cong Xia
Cong Xia is a scholar working on Hepatology, Nephrology, Radiology, Nuclear Medicine and Imaging, Media Technology and Computer Vision and Pattern Recognition, having authored 80 papers that have together received 869 indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (8 papers), Remote-Sensing Image Classification (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Acute Kidney Injury Research (4 papers), Nuclear physics research studies (4 papers), Colorectal Cancer Surgical Treatments (3 papers), Face recognition and analysis (3 papers) and Medical Image Segmentation Techniques (3 papers). The work is most often cited by research in Hepatology (68 citations), Cancer Research (89 citations), Radiology, Nuclear Medicine and Imaging (127 citations), Media Technology (41 citations) and Molecular Biology (249 citations). Cong Xia has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xianguang Yang, Chenglai Xia, Naijing Hu, Zongchang Du, Di Wang, Yuanchao Xue, Xiaohua Yu, Zhaokui Cai, Juan Chen and Shunmin He. Their work appears in journals such as Frontiers in Pharmacology, Cellular and Molecular Life Sciences, European Radiology, Knowledge-Based Systems and JHEP Reports.
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.