Guangwen Liu
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Health
- General Health Professions
- Artificial Intelligence
- Co-authors
- Kaoru SezakiShixue LiFanlei KongMasayuki IwaiYoshito TobeMasaki ItoDanushka BollegalaChenlu Hong
- Topics
- Health disparities and outcomes (11 papers)Diet, Metabolism, and Disease (7 papers)Vibrio bacteria research studies (5 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Guangwen Liu
47 papers receiving 285 citations
Peers
Comparison fields: 5 of 118
- Electrical and Electronic Engineering 38
- Computer Vision and Pattern Recognition 35
- Health 33
- General Health Professions 29
- Artificial Intelligence 28
Countries citing papers authored by Guangwen Liu
This map shows the geographic impact of Guangwen Liu'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 Guangwen Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangwen Liu more than expected).
Fields of papers citing papers by Guangwen Liu
This network shows the impact of papers produced by Guangwen Liu. 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 Guangwen Liu. The network helps show where Guangwen Liu may publish in the future.
Co-authorship network of co-authors of Guangwen Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Guangwen Liu. A scholar is included among the top collaborators of Guangwen Liu 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 Guangwen Liu. Guangwen Liu 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 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 13 | |
| 13 | 4 | |
| 14 | 11 | |
| 15 | 16 | |
| 16 | 4 | |
| 17 | 9 | |
| 18 | Image Fusion Method Based on Bound-Constrained Optimal Projection Gradient for NMF in TINST Domain | 1 |
| 19 | Chloramphenicol resistance marker exchange of lysogenic phage CTX#PHI#of Vibrio cholerae and its induction | 2 |
| 20 | Studies on the relationship between the abscisic acid (ABA) and the quality changes of fresh jujube during storage. | 1 |
About Guangwen Liu
Guangwen Liu is a scholar working on Health, Endocrinology and Neuropsychology and Physiological Psychology, having authored 62 papers that have together received 296 indexed citations. Recurring topics across this work include Health disparities and outcomes (11 papers), Diet, Metabolism, and Disease (7 papers) and Vibrio bacteria research studies (5 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (9 citations), Health (33 citations) and Endocrinology (17 citations). Guangwen Liu has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Kaoru Sezaki, Shixue Li, Fanlei Kong, Masayuki Iwai, Yoshito Tobe, Masaki Ito, Danushka Bollegala, Chenlu Hong, Cheng‐Fu Li and Meiying Yan. Their work appears in journals such as Scientific Reports, Frontiers in Microbiology and Journal of Affective Disorders.
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.