Ping Zhang
- Health Informatics top 1%
- Health Information Management top 0.2%
- Artificial Intelligence in Healthcare 15
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods 30
- Toxicology top 1%
- Pharmacovigilance and Adverse Drug Reactions 12
- Artificial Intelligence top 1%
- Machine Learning in Healthcare 32
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- Biomedical Text Mining and Ontologies 18
- Bioinformatics and Genomic Networks 12
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- Sepsis Diagnosis and Treatment 9
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- Pharmacogenetics and Drug Metabolism 8
- Co-authors
- Jianying HuFei WangRobert SorrentinoChangchang YinDongdong ZhangAchille FokoueYu ChengHeng Luo
- Journals
- Nucleic Acids Research (1 paper)SHILAP Revista de lepidopterología (1 paper)Journal of the American Statistical Association (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Ping Zhang
144 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 185
- Health Informatics 105
- Health Information Management 357
- Computational Theory and Mathematics 1.1k
- Toxicology 131
- Artificial Intelligence 940
Countries citing papers authored by Ping Zhang
This map shows the geographic impact of Ping 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 Ping Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Zhang more than expected).
Fields of papers citing papers by Ping Zhang
This network shows the impact of papers produced by Ping 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 Ping Zhang. The network helps show where Ping Zhang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ping 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 4 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 4 | |
| 6 | 2022 | 49 | |
| 7 | 2022 | 3 | |
| 8 | 2022 | 17 | |
| 9 | 2021 | 7 | |
| 10 | 2019 | 12 | |
| 11 | PerDREP Personalized Drug Effectiveness Prediction from Longitudinal Observational Data | 2019 | 1 |
| 12 | 2016 | 2 | |
| 13 | Using Frequent Item Set Mining and Feature Selection Methods to Identify Interacted Risk Factors - The Atrial Fibrillation Case Study. | 2016 | 2 |
| 14 | Towards Large-Scale Predictive Drug Safety: A Computational Framework for Inferring Drug Interactions Through Similarity-Based Link Prediction. | 2016 | 1 |
| 15 | 2013 | 55 | |
| 16 | 2013 | 70 | |
| 17 | Applied advances of 5-aminolevulinic acid photodynamic therapy in dermatology | 2012 | 1 |
| 18 | Occurrence and influencing factors of drug induced disease of traditional Chinese medicine | 2006 | 1 |
| 19 | On connected resolvability of graphs. | 2003 | 2 |
| 20 | The Steiner distance dimension of graphs | 1999 | 1 |
About Ping Zhang
Ping Zhang is a scholar working on Health Information Management, Toxicology and Computational Theory and Mathematics, having authored 163 papers that have together received 3.5k indexed citations. Recurring topics across this work include Machine Learning in Healthcare (32 papers), Computational Drug Discovery Methods (30 papers), Biomedical Text Mining and Ontologies (18 papers), Artificial Intelligence in Healthcare (15 papers), Pharmacovigilance and Adverse Drug Reactions (12 papers), Bioinformatics and Genomic Networks (12 papers), Sepsis Diagnosis and Treatment (9 papers) and Pharmacogenetics and Drug Metabolism (8 papers). The work is most often cited by research in Health Informatics (105 citations), Health Information Management (357 citations) and Computational Theory and Mathematics (1.1k citations). Ping Zhang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Jianying Hu, Fei Wang, Robert Sorrentino, Changchang Yin, Dongdong Zhang, Achille Fokoue, Yu Cheng, Fei Wang, Heng Luo and Xiaohui Yuan. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.
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.