Changyu Wang

1.2k citations
12 papers · 764 indexed · 2 hit papers · h-index 6
Topics
Artificial Intelligence in Healthcare and Education (5 papers)Machine Learning in Healthcare (4 papers)Neurogenesis and neuroplasticity mechanisms (2 papers)

In The Last Decade

Changyu Wang

11 papers receiving 740 citations

Hit Papers

Ethical Considerations of Using ChatGPT in Health Care202320262024202520232023100200300

Peers

Changyu Wang
Comparison fields: 5 of 108
  • Health Informatics 450
  • Artificial Intelligence 208
  • Radiology, Nuclear Medicine and Imaging 204
  • Cellular and Molecular Neuroscience 109
  • General Health Professions 88
Replace Ivana Malenica with:
Ivana Malenica United States
Michael E. Zapadka United States
Gergő Bohner United Kingdom
Silvina Catuara‐Solarz Spain
Bernadette Richards Australia
Rohaid Ali United States
Raja-Elie E. Abdulnour United States
Ernest Lim United Kingdom
Lauren Erdman Canada
Rafat Damseh United Arab Emirates
Changyu Wang relative to Ivana Malenica United States Ivana Malenica's profile →
Citations per field
00.5×4.2×
Ivana Malenica · 1×
Citations per year

Countries citing papers authored by Changyu Wang

Since Specialization
Citations

This map shows the geographic impact of Changyu 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 Changyu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changyu Wang more than expected).

Fields of papers citing papers by Changyu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Changyu 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 Changyu Wang. The network helps show where Changyu Wang may publish in the future.

Co-authorship network of co-authors of Changyu Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Changyu Wang. A scholar is included among the top collaborators of Changyu 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 Changyu Wang. Changyu Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 0
2 2
3 18
4 5
5 1
6 1
7
Utility of ChatGPT in Clinical Practicebreakdown →
280
8 5
9
Ethical Considerations of Using ChatGPT in Health Carebreakdown →
302
10 15
11 72
12 63

About Changyu Wang

Changyu Wang is a scholar working on Health Informatics, Developmental Neuroscience and Family Practice, having authored 12 papers that have together received 764 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (5 papers), Machine Learning in Healthcare (4 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). The work is most often cited by research in Health Informatics (450 citations), Family Practice (57 citations) and Developmental Neuroscience (49 citations). Changyu Wang has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Siru Liu, Jialin Liu, Yuxuan Wu, Hao Yang, Guo Jiu-lin, Bai Lu, Linyin Feng, Millicent M. Dugich‐Djordjevic, Chikara Oho and Keiko Mizuno. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Frontiers in Immunology.

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.

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