Xia Jiang
Impact in
-
- Time Series Analysis and Forecasting
Papers in
-
- Acute Myeloid Leukemia Research 6
- Multiple Myeloma Research and Treatments 2
- Co-authors
- Richard E. Neapolitan (2 shared papers)Yutong Li (1 shared paper)Zongxi Qu (1 shared paper)Chunhua Niu (1 shared paper)Earl Cox (1 shared paper)Ian H. Witten (1 shared paper)Youhong Li (9 shared papers)Eibe Frank (1 shared paper)
- Journals
- Blood (3 papers)European Journal of Pharmacology (2 papers)Forests (2 papers)Toxicology and Applied Pharmacology (2 papers)Biomedical Materials (1 paper)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Xia Jiang
42 papers receiving 260 citations
Peers
Comparison fields: 5 of 127
- Computational Mathematics 1
- Signal Processing 13
- Endocrinology 6
- Modeling and Simulation 5
- Artificial Intelligence 34
Countries citing papers authored by Xia Jiang
This map shows the geographic impact of Xia Jiang'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 Xia Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xia Jiang more than expected).
Fields of papers citing papers by Xia Jiang
This network shows the impact of papers produced by Xia Jiang. 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 Xia Jiang. The network helps show where Xia Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xia Jiang, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Data Mining: Know It All | 2008 | 43 |
| 2 | 2018 | 37 | |
| 3 | 2018 | 26 | |
| 4 | 2022 | 20 | |
| 5 | 2021 | 13 | |
| 6 | 2024 | 12 | |
| 7 | 2022 | 12 | |
| 8 | 2023 | 10 | |
| 9 | 2022 | 10 | |
| 10 | 2022 | 9 | |
| 11 | 2023 | 9 | |
| 12 | 2023 | 5 | |
| 13 | 2023 | 5 | |
| 14 | 2023 | 5 | |
| 15 | 2024 | 5 | |
| 16 | 2022 | 5 | |
| 17 | 2022 | 5 | |
| 18 | [Heavy metal speciation and stability in the sediment of Lihu Lake]. | 2013 | 3 |
| 19 | 2023 | 3 | |
| 20 | 2023 | 3 |
About Xia Jiang
Xia Jiang is a scholar working on Molecular Biology, Hematology, Plant Science, Surgery and Genetics, having authored 49 papers that have together received 279 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (6 papers), Liver Disease Diagnosis and Treatment (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Tissue Engineering and Regenerative Medicine (2 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), Plant Parasitism and Resistance (2 papers), Ecology and Vegetation Dynamics Studies (2 papers) and Multiple Myeloma Research and Treatments (2 papers). The work is most often cited by research in Computational Mathematics (1 citation), Signal Processing (13 citations), Endocrinology (6 citations), Modeling and Simulation (5 citations) and Artificial Intelligence (34 citations). Xia Jiang has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Richard E. Neapolitan, Yutong Li, Zongxi Qu, Chunhua Niu, Earl Cox, Ian H. Witten, Youhong Li, Eibe Frank, Lisa Pizzol and Andrea Critto. Their work appears in journals such as Blood, European Journal of Pharmacology, Forests, Toxicology and Applied Pharmacology and Biomedical Materials.
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.