Runzhi Li
- Electrical and Electronic Engineering top 10%
- Electronic, Optical and Magnetic Materials top 5%
- Renewable Energy, Sustainability and the Environment top 10%
- Materials Chemistry
- Artificial Intelligence top 10%
- Topics
- Machine Learning in Healthcare (5 papers)Text and Document Classification Technologies (5 papers)Artificial Intelligence in Healthcare (4 papers)
- Journals
- Advanced Drug Delivery ReviewsJournal of Materials Chemistry AIEEE Transactions on Image Processing
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Runzhi Li
42 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Electrical and Electronic Engineering 445
- Electronic, Optical and Magnetic Materials 403
- Renewable Energy, Sustainability and the Environment 167
- Materials Chemistry 165
- Artificial Intelligence 146
Countries citing papers authored by Runzhi Li
This map shows the geographic impact of Runzhi Li'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 Runzhi Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Runzhi Li more than expected).
Fields of papers citing papers by Runzhi Li
This network shows the impact of papers produced by Runzhi Li. 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 Runzhi Li. The network helps show where Runzhi Li may publish in the future.
Co-authorship network of co-authors of Runzhi Li
This figure shows the co-authorship network connecting the top 25 collaborators of Runzhi Li. A scholar is included among the top collaborators of Runzhi Li 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 Runzhi Li. Runzhi Li 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 | 4 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 11 | |
| 7 | 26 | |
| 8 | 13 | |
| 9 | 14 | |
| 10 | 10 | |
| 11 | 151 | |
| 12 | 56 | |
| 13 | 8 | |
| 14 | 6 | |
| 15 | 1 | |
| 16 | 109 | |
| 17 | 2 | |
| 18 | 38 | |
| 19 | Hierarchical NiCo2O4nanosheets@hollow microrod arrays for high-performance asymmetric supercapacitorsbreakdown → | 512 |
| 20 | 3 |
About Runzhi Li
Runzhi Li is a scholar working on Health Information Management, Health Informatics and Artificial Intelligence, having authored 46 papers that have together received 1.2k indexed citations. Recurring topics across this work include Machine Learning in Healthcare (5 papers), Text and Document Classification Technologies (5 papers) and Artificial Intelligence in Healthcare (4 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (403 citations), Health Informatics (20 citations) and Health Information Management (49 citations). Runzhi Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xue Feng Lu, Yexiang Tong, Shenghua Ye, Dong‐Jun Wu, Qi Li, Gao‐Ren Li, Jingkai Gu, John Paul Fawcett, Wei Wu and Chong Su. Their work appears in journals such as Advanced Drug Delivery Reviews, Journal of Materials Chemistry A and IEEE Transactions on Image Processing.
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.