Lu Hu

45 papers receiving 607 citations

Peers

Lu Hu
Comparison fields: 5 of 82
  • Psychiatry and Mental health 87
  • Health Informatics 8
  • General Health Professions 80
  • Physiology 83
  • Applied Psychology 16
Replace Michael Fu with:
Michael Fu Sweden
Urban Wiesing Germany
Kevin B. Johnson United States
Pamela J. Wright United States
Lídia Segura Spain
Sang-Dol Kim South Korea
Irina Karpov United States
Harmehr Sekhon Canada
Brian J. Cohen United States
Viji Pulikkel Chandran India
Lu Hu relative to Michael Fu Sweden Michael Fu's profile →
Citations per field
00.5×3.0×
Michael Fu · 1×
Citations per year

Countries citing papers authored by Lu Hu

Since Specialization
Citations

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

Fields of papers citing papers by Lu Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lu Hu, 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 Lu Hu Line = papers co-authored together Lu Hu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201585
2 201455
3 201644
4 201539
5 202236
6 201530
7 202127
8 201525
9 201824
10 201920
11 201719
12 202319
13 201718
14 201815
15 201714
16 201911
17 201711
18 202211
19
Perceived Research Burden Assessment (PeRBA): Instrument Development and Psychometric Evaluation
201410
20 202110

About Lu Hu

Lu Hu is a scholar working on General Health Professions, Physiology, Public Health, Environmental and Occupational Health, Endocrinology, Diabetes and Metabolism and Psychiatry and Mental health, having authored 54 papers that have together received 619 indexed citations. Recurring topics across this work include Mobile Health and mHealth Applications (13 papers), Diet and metabolism studies (7 papers), Nutritional Studies and Diet (5 papers), Obesity, Physical Activity, Diet (4 papers), Dementia and Cognitive Impairment Research (4 papers), Diabetes Management and Education (3 papers), Health disparities and outcomes (3 papers) and Diabetes Management and Research (2 papers). The work is most often cited by research in Psychiatry and Mental health (87 citations), Health Informatics (8 citations), General Health Professions (80 citations), Physiology (83 citations) and Applied Psychology (16 citations). Lu Hu has collaborated with scholars based in United States, Israel and China. Frequent co-authors include Jennifer H. Lingler, Amanda Gentry, Mary Ann Sevick, Mary Lou Klem, Eleanor Turi, Lauren Terhorst, Meghan Mattos, Collin Popp, Amanda Hunsaker and Karen L. Schmidt. Their work appears in journals such as Current Developments in Nutrition, Contemporary Clinical Trials, Archives of Physical Medicine and Rehabilitation, Journal of Empirical Research on Human Research Ethics and Nutrients.

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.

Explore authors with similar magnitude of impact