Longdi Fu

59 papers receiving 1.1k citations

Peers

Longdi Fu
Comparison fields: 5 of 104
  • Speech and Hearing 152
  • Clinical Psychology 272
  • Geriatrics and Gerontology 41
  • Critical Care and Intensive Care Medicine 52
  • General Health Professions 254
Replace Sabrina Bajwah with:
Sabrina Bajwah United Kingdom
Linda Wijlaars United Kingdom
Mihail Samnaliev United States
Steffen T. Simon Germany
Jennifer Faerber United States
Marci L. Nilsen United States
Georgia L. Narsavage United States
Camilla S. Hanson Australia
Kalliopi Megari Greece
Jo Taylor United Kingdom
Longdi Fu relative to Sabrina Bajwah United Kingdom Sabrina Bajwah's profile →
Citations per field
00.5×
Sabrina Bajwah · 1×
Citations per year

Countries citing papers authored by Longdi Fu

Since Specialization
Citations

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

Fields of papers citing papers by Longdi Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Longdi Fu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Longdi Fu Line = papers co-authored together Longdi Fu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201783
2 202280
3 201565
4 202163
5 201659
6 201654
7 201851
8 201145
9 201844
10 202040
11 201938
12 201937
13 202034
14 201832
15 201327
16 202326
17 201524
18 202121
19 201819
20 202018

About Longdi Fu

Longdi Fu is a scholar working on Oncology, General Health Professions, Clinical Psychology, Public Health, Environmental and Occupational Health and Emergency Medicine, having authored 64 papers that have together received 1.1k indexed citations. Recurring topics across this work include Emergency and Acute Care Studies (8 papers), COVID-19 and healthcare impacts (8 papers), Adolescent and Pediatric Healthcare (7 papers), Palliative Care and End-of-Life Issues (7 papers), COVID-19 and Mental Health (7 papers), Healthcare Policy and Management (6 papers), Health disparities and outcomes (6 papers) and Childhood Cancer Survivors' Quality of Life (6 papers). The work is most often cited by research in Speech and Hearing (152 citations), Clinical Psychology (272 citations), Geriatrics and Gerontology (41 citations), Critical Care and Intensive Care Medicine (52 citations) and General Health Professions (254 citations). Longdi Fu has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Astrid Guttmann, Thérèse A. Stukel, Alène Toulany, Robert Fowler, Paula A. Rochon, Paul Kurdyak, Laura C. Rosella, Peter C. Austin, Vivek Goel and Hadas D. Fischer. Their work appears in journals such as JAMA Network Open, CMAJ Open, Canadian Medical Association Journal, PLoS ONE and Journal of Adolescent Health.

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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