Jin Huang

5.2k citations
131 papers · 3.5k indexed · 1 hit paper · h-index 29

Jin Huang

124 papers receiving 3.3k citations

Hit Papers

Frailty in Older Adults: A Nationally Representative Prof...5622015202620182022100200300400500

Peers

Jin Huang
Comparison fields: 5 of 179
  • Geriatrics and Gerontology 590
  • Human-Computer Interaction 338
  • Health 423
  • Neuropsychology and Physiological Psychology 56
  • General Health Professions 796
Replace Inger Ekman with:
Inger Ekman Sweden
Gerald Choon‐Huat Koh Singapore
Liam Glynn Ireland
Lora Giangregorio Canada
Jonathan N. Tobin United States
Dori E. Rosenberg United States
Rahul Malhotra Singapore
Matthew P. Buman United States
Rachael Gooberman‐Hill United Kingdom
Nenad Kostanjsek Switzerland
Jin Huang relative to Inger Ekman Sweden Inger Ekman's profile →
Citations per field
00.5×1.5×2.5×
Inger Ekman · 1×
Citations per year

Countries citing papers authored by Jin Huang

Since Specialization
Citations

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

Fields of papers citing papers by Jin Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
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6 20246
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15 20230
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17 20224
18 20174
19 201798
20 201415

About Jin Huang

Jin Huang is a scholar working on Human-Computer Interaction, Geriatrics and Gerontology, Health, Neuropsychology and Physiological Psychology and Psychiatry and Mental health, having authored 131 papers that have together received 3.5k indexed citations. Recurring topics across this work include Interactive and Immersive Displays (17 papers), Dementia and Cognitive Impairment Research (17 papers), Geriatric Care and Nursing Homes (14 papers), Tactile and Sensory Interactions (13 papers), Intergenerational Family Dynamics and Caregiving (12 papers), Health Systems, Economic Evaluations, Quality of Life (10 papers), Gaze Tracking and Assistive Technology (7 papers) and Virtual Reality Applications and Impacts (7 papers). The work is most often cited by research in Geriatrics and Gerontology (590 citations), Human-Computer Interaction (338 citations), Health (423 citations), Neuropsychology and Physiological Psychology (56 citations) and General Health Professions (796 citations). Jin Huang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include David L. Roth, Ravi Varadhan, Judith D. Kasper, Baorong Guo, Feng Tian, Karen Bandeen‐Roche, Jeremy Walston, Brian Buta, Qian‐Li Xue and Christopher L. Seplaki. Their work appears in journals such as Journal of the American Geriatrics Society, International Journal of Human-Computer Studies, The Gerontologist, Journal of General Internal Medicine and Journal of Religion and 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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