Ri Zhang
Impact in
- Ecological Modeling top 5%
- Erosion and Abrasive Machining
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Platelet Disorders and Treatments
Papers in
- Hematology 27
- Acute Myeloid Leukemia Research 14
- Chronic Myeloid Leukemia Treatments 13
- Genetics 25
- Myeloproliferative Neoplasms: Diagnosis and Treatment 16
- Chronic Lymphocytic Leukemia Research 9
- Co-authors
- Haixiao Liu (5 shared papers)Haixiao Liu (4 shared papers)Zhentao Liu (5 shared papers)Mingyang Liu (2 shared papers)Weihua Cao (4 shared papers)Luefeng Chen (4 shared papers)Mengtian Zhou (2 shared papers)Jianping Xu (2 shared papers)
In The Last Decade
Ri Zhang
93 papers receiving 977 citations
Peers
Comparison fields: 5 of 131
- Ecological Modeling 135
- Hematology 185
- Ocean Engineering 143
- Experimental and Cognitive Psychology 109
- Genetics 87
Countries citing papers authored by Ri Zhang
This map shows the geographic impact of Ri Zhang'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 Ri Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ri Zhang more than expected).
Fields of papers citing papers by Ri Zhang
This network shows the impact of papers produced by Ri Zhang. 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 Ri Zhang. The network helps show where Ri Zhang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ri Zhang, 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 107 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 130 | |
| 2 | 2020 | 89 | |
| 3 | 2020 | 56 | |
| 4 | 2015 | 45 | |
| 5 | 2010 | 41 | |
| 6 | 2022 | 37 | |
| 7 | 2022 | 34 | |
| 8 | 2016 | 34 | |
| 9 | 2013 | 33 | |
| 10 | 2016 | 29 | |
| 11 | 2015 | 26 | |
| 12 | 2015 | 24 | |
| 13 | 2017 | 21 | |
| 14 | 2024 | 21 | |
| 15 | 2016 | 19 | |
| 16 | 2021 | 18 | |
| 17 | 2020 | 16 | |
| 18 | 1993 | 15 | |
| 19 | 2023 | 15 | |
| 20 | 2020 | 15 |
About Ri Zhang
Ri Zhang is a scholar working on Hematology, Genetics, Computational Mechanics, Molecular Biology and Ocean Engineering, having authored 107 papers that have together received 997 indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (16 papers), Acute Myeloid Leukemia Research (14 papers), Particle Dynamics in Fluid Flows (14 papers), Chronic Myeloid Leukemia Treatments (13 papers), Erosion and Abrasive Machining (12 papers), Eosinophilic Disorders and Syndromes (11 papers), Chronic Lymphocytic Leukemia Research (9 papers) and Fluid Dynamics and Heat Transfer (8 papers). The work is most often cited by research in Ecological Modeling (135 citations), Hematology (185 citations), Ocean Engineering (143 citations), Experimental and Cognitive Psychology (109 citations) and Genetics (87 citations). Ri Zhang has collaborated with scholars based in China, Hong Kong and Taiwan. Frequent co-authors include Haixiao Liu, Haixiao Liu, Zhentao Liu, Mingyang Liu, Weihua Cao, Luefeng Chen, Mengtian Zhou, Jianping Xu, Xuhui Zhang and Min Wu. Their work appears in journals such as Ocean Engineering, Powder Technology, Wear, Blood and Frontiers in Immunology.
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.