Hongxia Xia
Impact in
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Neurology top 10%
- Long-Term Effects of COVID-19
Papers in
-
- Advanced Computational Techniques and Applications 8
-
- Web Data Mining and Analysis 3
- Co-authors
- Weize Yang (5 shared papers)Xiaomin Luo (4 shared papers)Xiaojie Yan (1 shared paper)Yu Liu (1 shared paper)Tangxi Guo (2 shared papers)Lu Ye (1 shared paper)Jun Xiong (1 shared paper)Benchao Wang (2 shared papers)
- Journals
- Plant Science (2 papers)Clinical Infectious Diseases (1 paper)The Science of The Total Environment (1 paper)Cell Biology International (1 paper)Ecological Engineering (1 paper)
- Partner nations
- ChinaCroatiaUnited States
In The Last Decade
Hongxia Xia
46 papers receiving 662 citations
Peers
Comparison fields: 5 of 130
- Infectious Diseases 236
- Neurology 126
- Environmental Engineering 68
- Pollution 54
- Soil Science 44
Countries citing papers authored by Hongxia Xia
This map shows the geographic impact of Hongxia 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 Hongxia Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongxia Xia more than expected).
Fields of papers citing papers by Hongxia Xia
This network shows the impact of papers produced by Hongxia 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 Hongxia Xia. The network helps show where Hongxia Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Hongxia 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 285 | |
| 2 | 2017 | 95 | |
| 3 | 2017 | 66 | |
| 4 | 2019 | 39 | |
| 5 | 2008 | 36 | |
| 6 | 2024 | 13 | |
| 7 | 2020 | 12 | |
| 8 | 2021 | 10 | |
| 9 | 2009 | 10 | |
| 10 | 2021 | 9 | |
| 11 | 2022 | 9 | |
| 12 | 2023 | 7 | |
| 13 | 2003 | 7 | |
| 14 | 2019 | 7 | |
| 15 | 2020 | 7 | |
| 16 | 2022 | 6 | |
| 17 | 2023 | 6 | |
| 18 | 2019 | 6 | |
| 19 | Research of online software system development solution based on SaaS | 2009 | 5 |
| 20 | 2022 | 5 |
About Hongxia Xia
Hongxia Xia is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Molecular Biology and Computer Networks and Communications, having authored 55 papers that have together received 691 indexed citations. Recurring topics across this work include Advanced Computational Techniques and Applications (8 papers), Industrial Technology and Control Systems (5 papers), Cancer-related molecular mechanisms research (3 papers), COVID-19 Clinical Research Studies (3 papers), Web Data Mining and Analysis (3 papers), Signaling Pathways in Disease (2 papers), Long-Term Effects of COVID-19 (2 papers) and Face and Expression Recognition (2 papers). The work is most often cited by research in Infectious Diseases (236 citations), Neurology (126 citations), Environmental Engineering (68 citations), Pollution (54 citations) and Soil Science (44 citations). Hongxia Xia has collaborated with scholars based in China, Croatia and United States. Frequent co-authors include Weize Yang, Xiaomin Luo, Xiaojie Yan, Yu Liu, Tangxi Guo, Lu Ye, Jun Xiong, Benchao Wang, Bicheng Zhang and Wei Zhou. Their work appears in journals such as Plant Science, Clinical Infectious Diseases, The Science of The Total Environment, Cell Biology International and Ecological Engineering.
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.