James Zou
Impact in
- Health Informatics top 0.01%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 0.2%
- Topic Modeling
- AI in cancer detection
- Explainable Artificial Intelligence (XAI)
Papers in
-
- Artificial Intelligence in Healthcare and Education 26
- Biophysics 15
- Cell Image Analysis Techniques 15
- Co-authors
- Londa SchiebingerAbubakar AbidAmirata GhorbaniDavid OuyangDan JurafskyEric Q. WuBryan HeNikhil Garg
- Journals
- Nature Communications (12 papers)Nature (10 papers)Nature Machine Intelligence (9 papers)Proceedings of the National Academy of Sciences (8 papers)Nature Methods (7 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
James Zou
222 papers receiving 11.7k citations
Hit Papers
Peers
Comparison fields: 5 of 225
- Health Informatics 1.6k
- Artificial Intelligence 3.4k
- Safety Research 664
- General Social Sciences 222
- Radiology, Nuclear Medicine and Imaging 1.5k
Countries citing papers authored by James Zou
This map shows the geographic impact of James Zou'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 James Zou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Zou more than expected).
Fields of papers citing papers by James Zou
This network shows the impact of papers produced by James Zou. 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 James Zou. The network helps show where James Zou may publish in the future.
Co-authors
The 25 scholars most cited alongside James Zou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 7 | |
| 4 | Optimizing generative AI by backpropagating language model feedback Hit paper breakdown → | 2025 | 18 |
| 5 | ADMET-AI: a machine learning ADMET platform for evaluation of large-scale chemical libraries Hit paper breakdown → | 2024 | 88 |
| 6 | 2024 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 15 | |
| 10 | 2024 | 10 | |
| 11 | 2024 | 70 | |
| 12 | How Is ChatGPT’s Behavior Changing Over Time? Hit paper breakdown → | 2024 | 137 |
| 13 | 2023 | 4 | |
| 14 | 2023 | 7 | |
| 15 | From patterns to patients: Advances in clinical machine learning for cancer diagnosis, prognosis, and treatment Hit paper breakdown → | 2023 | 282 |
| 16 | 2022 | 7 | |
| 17 | 2022 | 15 | |
| 18 | 2021 | 74 | |
| 19 | 2020 | 19 | |
| 20 | 2020 | 33 |
About James Zou
James Zou is a scholar working on Health Informatics, Biophysics, Artificial Intelligence, Computational Mathematics and Statistics and Probability, having authored 240 papers that have together received 12.1k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (26 papers), Topic Modeling (25 papers), Single-cell and spatial transcriptomics (21 papers), Cell Image Analysis Techniques (15 papers), Explainable Artificial Intelligence (XAI) (14 papers), Natural Language Processing Techniques (13 papers), Machine Learning in Healthcare (12 papers) and Cardiovascular Function and Risk Factors (11 papers). The work is most often cited by research in Health Informatics (1.6k citations), Artificial Intelligence (3.4k citations), Safety Research (664 citations), General Social Sciences (222 citations) and Radiology, Nuclear Medicine and Imaging (1.5k citations). James Zou has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Londa Schiebinger, Abubakar Abid, Amirata Ghorbani, David Ouyang, Dan Jurafsky, Eric Q. Wu, Bryan He, Nikhil Garg, Roxana Daneshjou and Adam Tauman Kalai. Their work appears in journals such as Nature Communications, Nature, Nature Machine Intelligence, Proceedings of the National Academy of Sciences and Nature Methods.
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.