Chuizheng Meng
- Artificial Intelligence top 5%
- Health Information Management top 2%
- Epidemiology
- Health Informatics top 2%
- Signal Processing top 10%
- Co-authors
- Yan LiuSanjay PurushothamZhengping CheSirisha RambhatlaLoc TrinhNan XuSungyong SeoKarishma Sharma
- Topics
- Machine Learning in Healthcare (3 papers)Advanced Graph Neural Networks (3 papers)Model Reduction and Neural Networks (3 papers)
- Journals
- Scientific ReportsIEEE Transactions on Knowledge and Data EngineeringJournal of Biomedical Informatics
- Partner nations
- United StatesChinaJapan
In The Last Decade
Chuizheng Meng
11 papers receiving 536 citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Artificial Intelligence 349
- Health Information Management 106
- Epidemiology 65
- Health Informatics 53
- Signal Processing 46
Countries citing papers authored by Chuizheng Meng
This map shows the geographic impact of Chuizheng Meng'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 Chuizheng Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chuizheng Meng more than expected).
Fields of papers citing papers by Chuizheng Meng
This network shows the impact of papers produced by Chuizheng Meng. 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 Chuizheng Meng. The network helps show where Chuizheng Meng may publish in the future.
Co-authorship network of co-authors of Chuizheng Meng
This figure shows the co-authorship network connecting the top 25 collaborators of Chuizheng Meng. A scholar is included among the top collaborators of Chuizheng Meng 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 Chuizheng Meng. Chuizheng Meng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | When physics meets machine learning: a survey of physics-informed machine learningbreakdown → | 27 |
| 2 | 7 | |
| 3 | 104 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 87 | |
| 7 | 5 | |
| 8 | Coronavirus on Social Media: Analyzing Misinformation in Twitter Conversations. | 37 |
| 9 | Physics-aware Difference Graph Networks for Sparsely-Observed Dynamics | 19 |
| 10 | 21 | |
| 11 | 238 |
About Chuizheng Meng
Chuizheng Meng is a scholar working on Health Informatics, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 11 papers that have together received 552 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (3 papers), Advanced Graph Neural Networks (3 papers) and Model Reduction and Neural Networks (3 papers). The work is most often cited by research in Health Informatics (53 citations), Health Information Management (106 citations) and Artificial Intelligence (349 citations). Chuizheng Meng has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Yan Liu, Sanjay Purushotham, Zhengping Che, Sirisha Rambhatla, Loc Trinh, Nan Xu, Sungyong Seo, Karishma Sharma, Defu Cao and Yan Liu. Their work appears in journals such as Scientific Reports, IEEE Transactions on Knowledge and Data Engineering and Journal of Biomedical Informatics.
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.