Haiwen Gui

496 citations
13 papers · 211 indexed · 1 hit paper · h-index 6
Topics
Cutaneous Melanoma Detection and Management (3 papers)AI in cancer detection (2 papers)Artificial Intelligence in Healthcare and Education (2 papers)
Partner nations
United States

In The Last Decade

Haiwen Gui

11 papers receiving 207 citations

Hit Papers

Large Language Models in Medicine: The Potentials and Pit...20242026202520244080120

Peers

Haiwen Gui
Comparison fields: 5 of 77
  • Health Informatics 82
  • Artificial Intelligence 67
  • Radiology, Nuclear Medicine and Imaging 43
  • Molecular Biology 31
  • Oncology 27
Replace Zhuo Ran Cai with:
Zhuo Ran Cai United States
Daniel T. Hogarty Australia
Y Zhang China
Tobias E. Sangers Netherlands
Krithika Rangarajan India
Ann Shue United States
Phyllis Thangaraj United States
Mehr Kashyap United States
Yaser Ali Alhazmi Saudi Arabia
Hui Zong China
Haiwen Gui relative to Zhuo Ran Cai United States Zhuo Ran Cai's profile →
Citations per field
00.5×3.1×
Zhuo Ran Cai · 1×
Citations per year

Countries citing papers authored by Haiwen Gui

Since Specialization
Citations

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

Fields of papers citing papers by Haiwen Gui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiwen Gui

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 0
2
Large Language Models in Medicine: The Potentials and Pitfallsbreakdown →
131
3 10
4 1
5 1
6 0
7 2
8 28
9 5
10 9
11 2
12 9
13 13

About Haiwen Gui

Haiwen Gui is a scholar working on Health Informatics, Dermatology and Ophthalmology, having authored 13 papers that have together received 211 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (3 papers), AI in cancer detection (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). The work is most often cited by research in Health Informatics (82 citations), Family Practice (8 citations) and Health Information Management (14 citations). Haiwen Gui has collaborated with scholars based in United States. Frequent co-authors include Jesutofunmi A. Omiye, Roxana Daneshjou, Shawheen J. Rezaei, James Zou, Zhuo Ran Cai, Sophia Y. Wang, Crystal Chang, Gordon H. Bae, Heidi A. Arjes and Jason M. Peters. Their work appears in journals such as Annals of Internal Medicine, Journal of Investigative Dermatology and Journal of the American Academy of Dermatology.

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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