Amy Zhang
- Public Health, Environmental and Occupational Health top 10%
- Artificial Intelligence top 10%
- Nephrology top 5%
- Oncology
- Orthopedics and Sports Medicine top 10%
- Co-authors
- Laura A. SiminoffQuansheng ShenNatalie ColabianchiEdward GrefenstetteRobert KirkTim RocktäschelRenée H. LawrencePraveen Paritosh
- Topics
- Acute Lymphoblastic Leukemia research (6 papers)Reinforcement Learning in Robotics (4 papers)Adversarial Robustness in Machine Learning (3 papers)
- Cited by
- NephrologyOrthopedics and Sports MedicinePublic Health, Environmental and Occupational Health
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaBlood
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Amy Zhang
30 papers receiving 578 citations
Peers
Comparison fields: 5 of 105
- Public Health, Environmental and Occupational Health 184
- Artificial Intelligence 149
- Nephrology 93
- Oncology 74
- Orthopedics and Sports Medicine 71
Countries citing papers authored by Amy Zhang
This map shows the geographic impact of Amy 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 Amy Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amy Zhang more than expected).
Fields of papers citing papers by Amy Zhang
This network shows the impact of papers produced by Amy 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 Amy Zhang. The network helps show where Amy Zhang may publish in the future.
Co-authorship network of co-authors of Amy Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Amy Zhang. A scholar is included among the top collaborators of Amy Zhang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Amy Zhang. Amy Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 75 | |
| 9 | 1 | |
| 10 | 21 | |
| 11 | 0 | |
| 12 | Resolving Causal Confusion in Reinforcement Learning via Robust Exploration | 1 |
| 13 | 17 | |
| 14 | Multi-Task Reinforcement Learning as a Hidden-Parameter Block MDP | 2 |
| 15 | Composable Planning with Attributes | 4 |
| 16 | 21 | |
| 17 | 45 | |
| 18 | 105 | |
| 19 | 27 | |
| 20 | 131 |
About Amy Zhang
Amy Zhang is a scholar working on Issues, ethics and legal aspects, Medical Laboratory Technology and Public Health, Environmental and Occupational Health, having authored 38 papers that have together received 606 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (6 papers), Reinforcement Learning in Robotics (4 papers) and Adversarial Robustness in Machine Learning (3 papers). The work is most often cited by research in Nephrology (93 citations), Orthopedics and Sports Medicine (71 citations) and Public Health, Environmental and Occupational Health (184 citations). Amy Zhang has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Laura A. Siminoff, Quansheng Shen, Natalie Colabianchi, Edward Grefenstette, Robert Kirk, Tim Rocktäschel, Renée H. Lawrence, Praveen Paritosh, Nadia Fawaz and Mary B. Leonard. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.
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.