Huizhen Wang
- Molecular Biology top 5%
- Cardiology and Cardiovascular Medicine top 2%
- Cell Biology top 2%
- Artificial Intelligence top 5%
- Surgery top 10%
- Co-authors
- Zhiguo WangBaofeng YangHong ShiHo Jae HanStanley NattelYiqiang ZhangJingxiong WangJingbo Zhu
- Topics
- Ion channel regulation and function (23 papers)Cardiac electrophysiology and arrhythmias (23 papers)Topic Modeling (18 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Huizhen Wang
171 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Molecular Biology 2.1k
- Cardiology and Cardiovascular Medicine 912
- Cell Biology 654
- Artificial Intelligence 465
- Surgery 405
Countries citing papers authored by Huizhen Wang
This map shows the geographic impact of Huizhen Wang'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 Huizhen Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huizhen Wang more than expected).
Fields of papers citing papers by Huizhen Wang
This network shows the impact of papers produced by Huizhen Wang. 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 Huizhen Wang. The network helps show where Huizhen Wang may publish in the future.
Co-authorship network of co-authors of Huizhen Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Huizhen Wang. A scholar is included among the top collaborators of Huizhen Wang 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 Huizhen Wang. Huizhen Wang 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 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | Nursing demands and its influencing factories among elderly people in Eastern China | 1 |
| 9 | The NiuTrans Machine Translation System for NTCIR-9 PatentMT | 3 |
| 10 | Word Realignment for Statistical Machine Translation | 1 |
| 11 | Boosting-Based System Combination for Machine Translation | 7 |
| 12 | 2 | |
| 13 | Learning a Stopping Criterion for Active Learning for Word Sense Disambiguation and Text Classification | 29 |
| 14 | Expression of Human Lactoferrin in Transgenic Potato Tubers | 1 |
| 15 | KNN and Re-ranking Models for English Patent Mining at NTCIR-7. | 14 |
| 16 | An Improved Model of Dotplotting for Text Segmentation. | 2 |
| 17 | Adaptive Chinese Topic Tracking Based on Feedback Learning | 4 |
| 18 | Designing Special Post-Processing Rules for SVM-Based Chinese Word Segmentation | 6 |
| 19 | Wavelets Analysis of Signal Singularity | 1 |
| 20 | Preliminary Long Term Follow Up Study on Quality of Life After Anorectal Malformation Correction | 1 |
About Huizhen Wang
Huizhen Wang is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Reproductive Medicine, having authored 184 papers that have together received 4.6k indexed citations. Recurring topics across this work include Ion channel regulation and function (23 papers), Cardiac electrophysiology and arrhythmias (23 papers) and Topic Modeling (18 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (912 citations), Cell Biology (654 citations) and Molecular Biology (2.1k citations). Huizhen Wang has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Zhiguo Wang, Baofeng Yang, Hong Shi, Ho Jae Han, Stanley Nattel, Yiqiang Zhang, Jingxiong Wang, Jingbo Zhu, Benjamin K. Tsou and Zhaocai Zhou. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.
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.