Denan Lin

779 citations
19 papers · 534 · h-index 12

Impact in

Papers in

Denan Lin

19 papers receiving 506 citations

Peers

Denan Lin
Comparison fields: 5 of 108
  • Health Information Management 65
  • Neurology 89
  • Health Informatics 13
  • Agronomy and Crop Science 85
  • Artificial Intelligence 211
Replace Guesh Dagnew with:
Guesh Dagnew Saudi Arabia
Danial Sharifrazi Iran
Lipi B. Mahanta India
Rory Mitchell New Zealand
Toktam Khatibi Iran
Juxiang Yuan China
Jomol Mathew United States
Naeem Ullah Pakistan
Rashmi Gururajan Australia
Denan Lin relative to Guesh Dagnew Saudi Arabia Guesh Dagnew's profile →
Citations per field
00.5×10×20×30×42.5×
Guesh Dagnew · 1×
Citations per year

Countries citing papers authored by Denan Lin

Since Specialization
Citations

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

Fields of papers citing papers by Denan Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2020186
2 202056
3 201744
4 201736
5 200036
6 200036
7 200029
8 201420
9 201818
10 201413
11 201813
12 201412
13 201710
14 20149
15 20236
16
[Analysis on main factors for successful quitting--study on the one-year follow-up for Chinese 'Quit and Win' in 2002].
20045
17 20203
18
[Evaluation on quitting intervention in health professionals of six cities].
20061
19
Effects evaluation of the charity advertisement "Giving Cigarettes is Giving Harm" in Shenzhen city.
20101

About Denan Lin

Denan Lin is a scholar working on Molecular Biology, Epidemiology, Agronomy and Crop Science, Artificial Intelligence and Neurology, having authored 19 papers that have together received 534 indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (4 papers), Animal Disease Management and Epidemiology (4 papers), AI in cancer detection (3 papers), Prion Diseases and Protein Misfolding (3 papers), Brain Tumor Detection and Classification (2 papers), Cardiovascular Health and Risk Factors (2 papers), Neurological diseases and metabolism (2 papers) and Urban Transport and Accessibility (2 papers). The work is most often cited by research in Health Information Management (65 citations), Neurology (89 citations), Health Informatics (13 citations), Agronomy and Crop Science (85 citations) and Artificial Intelligence (211 citations). Denan Lin has collaborated with scholars based in China, United Kingdom and New Zealand. Frequent co-authors include Jing Zheng, Shuang Wang, Ye Li, Yunpeng Cai, Mark A. Stevenson, ROGER S. MORRIS, J. B. M. Ryan, Dirk U. Pfeiffer, Yongsheng Wu and J. W. Wilesmith. Their work appears in journals such as International Journal of Environmental Research and Public Health, Veterinary Record, BioScience Trends, IEEE Access and Tsinghua Science & Technology.

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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