LI Jun-hua

580 citations
9 papers · 352 · h-index 5

Impact in

Papers in

LI Jun-hua

8 papers receiving 349 citations

Peers

LI Jun-hua
Comparison fields: 5 of 89
  • Public Health, Environmental and Occupational Health 115
  • Health Information Management 16
  • Oceanography 45
  • General Health Professions 56
  • Demography 28
Replace Jonathan Sicsic with:
Jonathan Sicsic France
João Vasco Santos Portugal
Lauren J. Beesley United States
Olivier Saint‐Lary France
Sabine Hoffmann Germany
Richard E. Hoskins United States
Ofir Harari Canada
Jane Griffith Canada
Nian Li China
Kathleen Li United States
LI Jun-hua relative to Jonathan Sicsic France Jonathan Sicsic's profile →
Citations per field
00.5×10×15×
Jonathan Sicsic · 1×
Citations per year

Countries citing papers authored by LI Jun-hua

Since Specialization
Citations

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

Fields of papers citing papers by LI Jun-hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by LI Jun-hua. 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 LI Jun-hua. The network helps show where LI Jun-hua may publish in the future.

Co-authors

The 23 scholars most cited alongside LI Jun-hua, 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 LI Jun-hua Line = papers co-authored together LI Jun-hua links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2020240
2 201555
3 202030
4 202118
5 20105
6
Evaluation Criteria for Frameworks in eHealth Domain
20092
7
Status and Influencing Factors of Internet Addiction Disorder Among Medical College Students in Anhui and Jiangsu
20101
8 20121
9
Tracking gate algorithm for general nonlinear systems with target class information
20160

About LI Jun-hua

LI Jun-hua is a scholar working on Oceanography, Ecological Modeling, General Health Professions, Astronomy and Astrophysics and Control and Systems Engineering, having authored 9 papers that have together received 352 indexed citations. Recurring topics across this work include Geophysics and Gravity Measurements (2 papers), Remote Sensing in Agriculture (1 paper), Species Distribution and Climate Change (1 paper), Telemedicine and Telehealth Implementation (1 paper), COVID-19 and healthcare impacts (1 paper), COVID-19 epidemiological studies (1 paper), Mobile Health and mHealth Applications (1 paper) and Statistical and numerical algorithms (1 paper). The work is most often cited by research in Public Health, Environmental and Occupational Health (115 citations), Health Information Management (16 citations), Oceanography (45 citations), General Health Professions (56 citations) and Demography (28 citations). LI Jun-hua has collaborated with scholars based in Canada, China and Australia. Frequent co-authors include Dong Zhou, Lu Lu, Bing Li, Weixi Xiong, Nian Li, Zhen Hong, Dajiang Li, Weimin Li, Pradeep Ray and Shusen Wang. Their work appears in journals such as Journal of Medical Internet Research, Remote Sensing Letters, Canadian Journal of Remote Sensing, International Journal of Medical Informatics and Water Resources Research.

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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