Denan Lin

779 total citations
19 papers, 534 citations indexed

About

Denan Lin is a scholar working on Molecular Biology, Epidemiology and Agronomy and Crop Science. According to data from OpenAlex, Denan Lin has authored 19 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Epidemiology and 4 papers in Agronomy and Crop Science. Recurrent topics in Denan Lin's work include Animal Disease Management and Epidemiology (4 papers), Data-Driven Disease Surveillance (4 papers) and Prion Diseases and Protein Misfolding (3 papers). Denan Lin is often cited by papers focused on Animal Disease Management and Epidemiology (4 papers), Data-Driven Disease Surveillance (4 papers) and Prion Diseases and Protein Misfolding (3 papers). Denan Lin collaborates with scholars based in China, United Kingdom and New Zealand. Denan Lin's co-authors include Jing Zheng, Shuang Wang, Yunpeng Cai, Ye Li, ROGER S. MORRIS, J. B. M. Ryan, Mark A. Stevenson, Dirk U. Pfeiffer, Yongsheng Wu and J. W. Wilesmith and has published in prestigious journals such as IEEE Access, International Journal of Environmental Research and Public Health and Journal of Biomedical Informatics.

In The Last Decade

Denan Lin

19 papers receiving 506 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Denan Lin China 12 211 130 119 89 85 19 534
Malek Hammou Norway 3 133 0.6× 107 0.8× 34 0.3× 26 0.3× 2 0.0× 5 473
Guesh Dagnew Saudi Arabia 8 260 1.2× 154 1.2× 74 0.6× 12 0.1× 2 0.0× 9 678
Jomol Mathew United States 11 108 0.5× 15 0.1× 85 0.7× 4 0.0× 36 0.4× 24 692
Asif Iqbal Khan Pakistan 10 578 2.7× 831 6.4× 123 1.0× 20 0.2× 3 0.0× 32 1.1k
Lipi B. Mahanta India 15 726 3.4× 366 2.8× 36 0.3× 136 1.5× 4 0.0× 55 1.1k
Naeem Ullah Pakistan 17 205 1.0× 221 1.7× 60 0.5× 194 2.2× 1 0.0× 68 885
Hanyin Wang United States 11 272 1.3× 110 0.8× 88 0.7× 11 0.1× 23 602
Smaranda Belciug Romania 14 202 1.0× 72 0.6× 52 0.4× 16 0.2× 40 450
Juxiang Yuan China 13 40 0.2× 24 0.2× 60 0.5× 9 0.1× 3 0.0× 35 459

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-authorship network of co-authors of Denan Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Denan Lin. A scholar is included among the top collaborators of Denan Lin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Denan Lin. Denan Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Yang, Yujie, Qi Li, Denan Lin, et al.. (2023). Classification of Medical Image Notes for Image Labeling by Using MinBERT. Tsinghua Science & Technology. 28(4). 613–627. 6 indexed citations
2.
Zheng, Jing, et al.. (2020). Deep Learning Assisted Efficient AdaBoost Algorithm for Breast Cancer Detection and Early Diagnosis. IEEE Access. 8. 96946–96954. 186 indexed citations
3.
Zheng, Jing, et al.. (2020). Correction to “Deep Learning Assisted Efficient AdaBoost Algorithm for Breast Cancer Detection and Early Diagnosis”. IEEE Access. 8. 214494–214494. 3 indexed citations
4.
5.
Xu, Jian, Xiaojian Liu, Yongsheng Wu, et al.. (2018). The Association between Air Pollution and Outpatient and Inpatient Visits in Shenzhen, China. International Journal of Environmental Research and Public Health. 15(2). 178–178. 13 indexed citations
6.
Ren, Zhong, Yongsheng Wu, Yunpeng Cai, et al.. (2018). Forecasting hand, foot, and mouth disease in Shenzhen based on daily level clinical data and multiple environmental factors. BioScience Trends. 12(5). 450–455. 18 indexed citations
7.
Zhang, Yifan, Ling Gou, Tianshu Zhou, et al.. (2017). An ontology-based approach to patient follow-up assessment for continuous and personalized chronic disease management. Journal of Biomedical Informatics. 72. 45–59. 36 indexed citations
8.
Wu, Hongyan, Yunpeng Cai, Yongsheng Wu, et al.. (2017). Time series analysis of weekly influenza-like illness rate using a one-year period of factors in random forest regression. BioScience Trends. 11(3). 292–296. 44 indexed citations
9.
Yang, Yujie, Fen Miao, Yunpeng Cai, et al.. (2017). 3-year risk prediction of Coronary Heart Disease in hypertension patients: A preliminary study. PubMed. 2017. 1182–1185. 10 indexed citations
10.
Hu, Tao, Qingyun Du, Fu Ren, et al.. (2014). Spatial Analysis of the Home Addresses of Hospital Patients with Hepatitis B Infection or Hepatoma in Shenzhen, China from 2010 to 2012. International Journal of Environmental Research and Public Health. 11(3). 3143–3155. 9 indexed citations
11.
Wang, Zhensheng, Qingyun Du, Ke Nie, et al.. (2014). Analysis of the Spatial Variation of Hospitalization Admissions for Hypertension Disease in Shenzhen, China. International Journal of Environmental Research and Public Health. 11(1). 713–733. 20 indexed citations
12.
Wang, Yanxia, Qingyun Du, Fu Ren, et al.. (2014). Spatio-Temporal Variation and Prediction of Ischemic Heart Disease Hospitalizations in Shenzhen, China. International Journal of Environmental Research and Public Health. 11(5). 4799–4824. 12 indexed citations
13.
Xi, Yuliang, et al.. (2014). Spatial Analysis of the Distribution, Risk Factors and Access to Medical Resources of Patients with Hepatitis B in Shenzhen, China. International Journal of Environmental Research and Public Health. 11(11). 11505–11527. 13 indexed citations
14.
Lin, Denan, et al.. (2010). Effects evaluation of the charity advertisement "Giving Cigarettes is Giving Harm" in Shenzhen city.. Chinese Journal of Natural Medicines. 12(6). 453–455. 1 indexed citations
15.
Yang, Yan, Yuan Jiang, Yahong Wu, et al.. (2006). [Evaluation on quitting intervention in health professionals of six cities].. PubMed. 35(1). 89–91. 1 indexed citations
16.
Yang, Yan, Xiaoli Yang, Jiang Li, et al.. (2004). [Analysis on main factors for successful quitting--study on the one-year follow-up for Chinese 'Quit and Win' in 2002].. PubMed. 33(4). 478–80. 5 indexed citations
17.
Wilesmith, J. W., J. B. M. Ryan, Mark A. Stevenson, et al.. (2000). Temporal aspects of the epidemic of bovine spongiform encephalopathy in Great Britain: holding.associated risk factors for the disease. Veterinary Record. 147(12). 319–325. 36 indexed citations
18.
Stevenson, Mark A., ROGER S. MORRIS, Jeffrey W. Lockhart, et al.. (2000). Temporal aspects of the epidemic of bovine spongiform encephalopathy in Great Britain: individual animal‐associated risk factors for the disease. Veterinary Record. 147(13). 349–354. 29 indexed citations
19.
Stevenson, Mark A., ROGER S. MORRIS, Dirk U. Pfeiffer, et al.. (2000). Descriptive spatial analysis of the epidemic of bovine spongiform encephalopathy in Great Britain to June 1997. Veterinary Record. 147(14). 379–384. 36 indexed citations

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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