Heming Xia
Impact in
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
- Biomedical Engineering top 10%
- Nanoplatforms for cancer theranostics
Papers in
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- Nanoplatforms for cancer theranostics 12
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- Advanced biosensing and bioanalysis techniques 3
- Co-authors
- Binlong Chen (15 shared papers)Yiguang Wang (12 shared papers)Qiang Zhang (9 shared papers)Yue Yan (8 shared papers)Qingqing Yin (8 shared papers)Yaoqi Wang (7 shared papers)Zhifang Sui (8 shared papers)Ruiyang Zhao (6 shared papers)
- Journals
- Nature Communications (3 papers)Angewandte Chemie International Edition (2 papers)Nano Letters (2 papers)Advanced Materials (1 paper)Journal of the American Chemical Society (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Heming Xia
26 papers receiving 666 citations
Heming Xia's Hit Papers
Peers
Comparison fields: 5 of 110
- Biomaterials 144
- Biomedical Engineering 297
- Immunology 137
- Artificial Intelligence 133
- Health Informatics 4
Countries citing papers authored by Heming Xia
This map shows the geographic impact of Heming Xia'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 Heming Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heming Xia more than expected).
Fields of papers citing papers by Heming Xia
This network shows the impact of papers produced by Heming Xia. 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 Heming Xia. The network helps show where Heming Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Heming Xia, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Survey on In-context Learning Hit paper breakdown → | 2024 | 173 |
| 2 | 2022 | 76 | |
| 3 | 2023 | 65 | |
| 4 | 2021 | 59 | |
| 5 | 2021 | 57 | |
| 6 | 2021 | 40 | |
| 7 | 2022 | 35 | |
| 8 | 2022 | 26 | |
| 9 | 2021 | 26 | |
| 10 | 2024 | 20 | |
| 11 | 2023 | 15 | |
| 12 | 2025 | 14 | |
| 13 | 2017 | 14 | |
| 14 | 2024 | 13 | |
| 15 | 2022 | 11 | |
| 16 | 2025 | 7 | |
| 17 | 2023 | 7 | |
| 18 | 2023 | 5 | |
| 19 | 2022 | 5 | |
| 20 | 2024 | 3 |
About Heming Xia
Heming Xia is a scholar working on Biomedical Engineering, Molecular Biology, Artificial Intelligence, Biomaterials and Immunology, having authored 27 papers that have together received 681 indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (12 papers), Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers), Nanoparticle-Based Drug Delivery (5 papers), Advanced biosensing and bioanalysis techniques (3 papers), Multimodal Machine Learning Applications (3 papers), Cancer Research and Treatments (3 papers) and Luminescence and Fluorescent Materials (2 papers). The work is most often cited by research in Biomaterials (144 citations), Biomedical Engineering (297 citations), Immunology (137 citations), Artificial Intelligence (133 citations) and Health Informatics (4 citations). Heming Xia has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Binlong Chen, Yiguang Wang, Qiang Zhang, Yue Yan, Qingqing Yin, Yaoqi Wang, Zhifang Sui, Ruiyang Zhao, Qingxiu Dong and Fangjie Wan. Their work appears in journals such as Nature Communications, Angewandte Chemie International Edition, Nano Letters, Advanced Materials and Journal of the American Chemical Society.
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.