Lingyun Shi
- Artificial Intelligence top 10%
- Social Psychology
- Clinical Psychology
- General Health Professions
- Information Systems
- Co-authors
- Fuchiang TsuiNeal D. RyanDavid A. BrentVı́ctor RuizSifei HanRussell RichieZhitao GuanCandice Biernesser
- Topics
- Machine Learning in Healthcare (5 papers)Topic Modeling (3 papers)Mental Health via Writing (3 papers)
- Partner nations
- United StatesChinaQatar
In The Last Decade
Lingyun Shi
15 papers receiving 242 citations
Peers
Comparison fields: 5 of 66
- Artificial Intelligence 108
- Social Psychology 53
- Clinical Psychology 42
- General Health Professions 35
- Information Systems 33
Countries citing papers authored by Lingyun Shi
This map shows the geographic impact of Lingyun Shi'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 Lingyun Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingyun Shi more than expected).
Fields of papers citing papers by Lingyun Shi
This network shows the impact of papers produced by Lingyun Shi. 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 Lingyun Shi. The network helps show where Lingyun Shi may publish in the future.
Co-authorship network of co-authors of Lingyun Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Lingyun Shi. A scholar is included among the top collaborators of Lingyun Shi 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 Lingyun Shi. Lingyun Shi 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 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 12 | |
| 6 | 74 | |
| 7 | 8 | |
| 8 | 12 | |
| 9 | 65 | |
| 10 | 9 | |
| 11 | Automated Diagnosis Coding from Clinical Notes Using Attention-Augmented Recurrent Convolutional Neural Networks. | 1 |
| 12 | 1 | |
| 13 | 29 | |
| 14 | 5 | |
| 15 | 12 | |
| 16 | 12 | |
| 17 | 6 |
About Lingyun Shi
Lingyun Shi is a scholar working on Health Informatics, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 17 papers that have together received 249 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (5 papers), Topic Modeling (3 papers) and Mental Health via Writing (3 papers). The work is most often cited by research in Health Informatics (17 citations), Health Information Management (20 citations) and Artificial Intelligence (108 citations). Lingyun Shi has collaborated with scholars based in United States, China and Qatar. Frequent co-authors include Fuchiang Tsui, Neal D. Ryan, David A. Brent, Vı́ctor Ruiz, Sifei Han, Russell Richie, Zhitao Guan, Candice Biernesser, Colin G. Walsh and Satish Iyengar. Their work appears in journals such as PLoS ONE, IEEE Access and Information Sciences.
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.