Yizhao Ni
- Artificial Intelligence top 5%
- Molecular Biology
- Health Information Management top 1%
- Public Health, Environmental and Occupational Health
- Signal Processing top 5%
- Co-authors
- Todd LingrenImre SoltiQunfeng YueMatt McVicarRaúl Santos‐RodríguezTijl De BieHaijun ZhaiMegan Kaiser
- Topics
- Electronic Health Records Systems (13 papers)Music Technology and Sound Studies (6 papers)Natural Language Processing Techniques (6 papers)
- Journals
- Angewandte Chemie International EditionSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Yizhao Ni
73 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 150
- Artificial Intelligence 257
- Molecular Biology 240
- Health Information Management 160
- Public Health, Environmental and Occupational Health 129
- Signal Processing 119
Countries citing papers authored by Yizhao Ni
This map shows the geographic impact of Yizhao Ni'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 Yizhao Ni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yizhao Ni more than expected).
Fields of papers citing papers by Yizhao Ni
This network shows the impact of papers produced by Yizhao Ni. 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 Yizhao Ni. The network helps show where Yizhao Ni may publish in the future.
Co-authorship network of co-authors of Yizhao Ni
This figure shows the co-authorship network connecting the top 25 collaborators of Yizhao Ni. A scholar is included among the top collaborators of Yizhao Ni 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 Yizhao Ni. Yizhao Ni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 15 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 17 | |
| 9 | 87 | |
| 10 | 13 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 10 | |
| 14 | 3 | |
| 15 | 8 | |
| 16 | 12 | |
| 17 | 16 | |
| 18 | 35 | |
| 19 | 20 | |
| 20 | Exploitation of Machine Learning Techniques in Modelling Phrase Movements for Machine Translation | 10 |
About Yizhao Ni
Yizhao Ni is a scholar working on Health Information Management, Emergency Medical Services and Health Informatics, having authored 78 papers that have together received 1.3k indexed citations. Recurring topics across this work include Electronic Health Records Systems (13 papers), Music Technology and Sound Studies (6 papers) and Natural Language Processing Techniques (6 papers). The work is most often cited by research in Health Informatics (85 citations), Health Information Management (160 citations) and Molecular Medicine (66 citations). Yizhao Ni has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Todd Lingren, Imre Solti, Qunfeng Yue, Matt McVicar, Raúl Santos‐Rodríguez, Tijl De Bie, Haijun Zhai, Megan Kaiser, Qi Li and Judith W. Dexheimer. Their work appears in journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and PLoS ONE.
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.