Haiting Jiang

413 citations
6 papers · 205 · h-index 4

Impact in

Papers in

    • Vaccine Coverage and Hesitancy 1
    • Health disparities and outcomes 1
    • Artificial Intelligence in Healthcare and Education 1

Haiting Jiang

5 papers receiving 198 citations

Peers

Haiting Jiang
Comparison fields: 5 of 83
  • Information Systems and Management 61
  • Statistics, Probability and Uncertainty 46
  • Health Informatics 8
  • Health 21
  • Periodontics 10
Replace Stefan Reichmann with:
Stefan Reichmann Austria
Shahram Sedghi Iran
Alice Fleerackers Canada
Naomi Penfold United Kingdom
Karen E Gutzman United States
Stephanie L. Harriman United Kingdom
Mary Shultz United States
Hana Raffoul Canada
Iratxe Puebla United States
Robin Champieux United States
Haiting Jiang relative to Stefan Reichmann Austria Stefan Reichmann's profile →
Citations per field
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Stefan Reichmann · 1×
Citations per year

Countries citing papers authored by Haiting Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Haiting Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Haiting Jiang, 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 Haiting Jiang Line = papers co-authored together Haiting Jiang links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown

About Haiting Jiang

Haiting Jiang is a scholar working on Health, Health Informatics, Periodontics, Information Systems and Management and Hepatology, having authored 6 papers that have together received 205 indexed citations. Recurring topics across this work include Dental Health and Care Utilization (1 paper), Vaccine Coverage and Hesitancy (1 paper), Ethics in Clinical Research (1 paper), Emotion and Mood Recognition (1 paper), Health disparities and outcomes (1 paper), Academic Publishing and Open Access (1 paper), Artificial Intelligence in Healthcare and Education (1 paper) and Traditional Chinese Medicine Studies (1 paper). The work is most often cited by research in Information Systems and Management (61 citations), Statistics, Probability and Uncertainty (46 citations), Health Informatics (8 citations), Health (21 citations) and Periodontics (10 citations). Haiting Jiang has collaborated with scholars based in China, Sweden and United Kingdom. Frequent co-authors include Maxime Déforet, Paola Masuzzo, Nathan Peiffer‐Smadja, Lonni Besançon, Cooper Smout, Clémence Leyrat, Jiaying Chen, Kristina Burström, Bo Bur­ström and Yinghong Zhou. Their work appears in journals such as International Journal of Environmental Research and Public Health, Frontiers in Public Health, BMC Medical Research Methodology, Integrative Medicine Research and Journal of Neuroscience Methods.

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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