Simeng Han
Impact in
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- Plant nutrient uptake and metabolism
- Plant Molecular Biology Research
- Legume Nitrogen Fixing Symbiosis
- Rice Cultivation and Yield Improvement
Papers in
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- Natural Language Processing Techniques 5
- Topic Modeling 5
- Advanced Text Analysis Techniques 1
- Semantic Web and Ontologies 1
- Co-authors
- Ke Deng (1 shared paper)Jun S. Liu (1 shared paper)Sophie Trouvelot (2 shared papers)Christophe Salon (2 shared papers)Marielle Adrian (2 shared papers)Frédéric Cointault (2 shared papers)Delphine Moreau (1 shared paper)Zheng‐Yi Zhou (3 shared papers)
- Journals
- Frontiers of Environmental Science & Engineering (1 paper)Journal of Managed Care & Specialty Pharmacy (1 paper)Journal of Medical Economics (1 paper)Frontiers in Plant Science (1 paper)Plant Methods (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Simeng Han
12 papers receiving 221 citations
Peers
Comparison fields: 5 of 61
- Plant Science 97
- Health Informatics 3
- Agronomy and Crop Science 19
- Hematology 20
- Artificial Intelligence 55
Countries citing papers authored by Simeng Han
This map shows the geographic impact of Simeng Han'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 Simeng Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simeng Han more than expected).
Fields of papers citing papers by Simeng Han
This network shows the impact of papers produced by Simeng Han. 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 Simeng Han. The network helps show where Simeng Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Simeng Han, 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 | 2016 | 86 | |
| 2 | 2014 | 38 | |
| 3 | 2023 | 32 | |
| 4 | 2021 | 17 | |
| 5 | 2018 | 17 | |
| 6 | 2020 | 16 | |
| 7 | 2021 | 9 | |
| 8 | 2024 | 4 | |
| 9 | 2018 | 4 | |
| 10 | 2018 | 2 | |
| 11 | 2021 | 2 | |
| 12 | 2023 | 1 | |
| 13 | 2024 | 0 | |
| 14 | 2025 | 0 |
About Simeng Han
Simeng Han is a scholar working on Artificial Intelligence, Pulmonary and Respiratory Medicine, Hematology, Plant Science and Urology, having authored 14 papers that have together received 228 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (5 papers), Topic Modeling (5 papers), Hemophilia Treatment and Research (2 papers), Plant nutrient uptake and metabolism (2 papers), Advanced Text Analysis Techniques (1 paper), Semantic Web and Ontologies (1 paper), Plant Molecular Biology Research (1 paper) and Plant responses to water stress (1 paper). The work is most often cited by research in Plant Science (97 citations), Health Informatics (3 citations), Agronomy and Crop Science (19 citations), Hematology (20 citations) and Artificial Intelligence (55 citations). Simeng Han has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Ke Deng, Jun S. Liu, Sophie Trouvelot, Christophe Salon, Marielle Adrian, Frédéric Cointault, Delphine Moreau, Zheng‐Yi Zhou, Christian Jeudy and Virginie Bourion. Their work appears in journals such as Frontiers of Environmental Science & Engineering, Journal of Managed Care & Specialty Pharmacy, Journal of Medical Economics, Frontiers in Plant Science and Plant 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.