Lin Yang

11.8k total citations · 4 hit papers
176 papers, 7.1k citations indexed

About

Lin Yang is a scholar working on Modeling and Simulation, Epidemiology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Lin Yang has authored 176 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Modeling and Simulation, 50 papers in Epidemiology and 36 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Lin Yang's work include COVID-19 epidemiological studies (52 papers), Influenza Virus Research Studies (40 papers) and Climate Change and Health Impacts (29 papers). Lin Yang is often cited by papers focused on COVID-19 epidemiological studies (52 papers), Influenza Virus Research Studies (40 papers) and Climate Change and Health Impacts (29 papers). Lin Yang collaborates with scholars based in Hong Kong, China and United States. Lin Yang's co-authors include Daihai He, Shi Zhao, Maggie Haitian Wang, Yijun Lou, Daozhou Gao, Weiming Wang, Salihu S. Musa, Jinjun Ran, Qianying Lin and Guangpu Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Lin Yang

167 papers receiving 6.9k citations

Hit Papers

Preliminary estimation of the basic reproduction number o... 2020 2026 2022 2024 2020 2020 2020 2020 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lin Yang Hong Kong 42 2.6k 2.0k 1.3k 1.0k 972 176 7.1k
Nicholas G Reich United States 33 3.2k 1.2× 3.4k 1.7× 1.8k 1.4× 964 1.0× 299 0.3× 85 8.2k
Peng Wu Hong Kong 41 2.3k 0.9× 2.7k 1.4× 2.2k 1.7× 599 0.6× 307 0.3× 200 6.9k
Shi Zhao Hong Kong 34 3.2k 1.2× 2.5k 1.3× 790 0.6× 1.1k 1.1× 285 0.3× 215 6.0k
LM Ho Hong Kong 42 2.1k 0.8× 1.8k 0.9× 1.7k 1.3× 548 0.5× 265 0.3× 140 7.0k
Wan Yang United States 32 2.6k 1.0× 2.1k 1.1× 1.6k 1.3× 623 0.6× 351 0.4× 72 5.5k
Jue Liu China 44 1.0k 0.4× 2.0k 1.0× 1.6k 1.3× 543 0.5× 437 0.4× 405 8.6k
Andrew S. Azman United States 32 3.2k 1.2× 3.6k 1.8× 1.2k 0.9× 942 0.9× 186 0.2× 141 7.8k
Anthony J. Hedley Hong Kong 32 1.5k 0.6× 1.3k 0.7× 971 0.8× 393 0.4× 1.0k 1.1× 61 5.1k
Oliver Mytton United Kingdom 33 886 0.3× 1.1k 0.5× 884 0.7× 533 0.5× 380 0.4× 96 6.2k
Kyra H. Grantz United States 11 2.3k 0.9× 2.3k 1.2× 644 0.5× 825 0.8× 145 0.1× 29 4.8k

Countries citing papers authored by Lin Yang

Since Specialization
Citations

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

Fields of papers citing papers by Lin Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Lin Yang. A scholar is included among the top collaborators of Lin Yang 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 Lin Yang. Lin Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yang, Lin, et al.. (2025). LoRA dropout as a sparsity regularizer for overfitting reduction. Knowledge-Based Systems. 329. 114241–114241. 1 indexed citations
3.
Xie, Yao Jie, Yunyang Deng, Lin Yang, et al.. (2024). Use of the PRECEDE-PROCEED Model in Piloting Vaccine Promotion and Infection Self-Protection: Intervention Development and Effectiveness Examination. Vaccines. 12(9). 979–979. 1 indexed citations
4.
Owusu‐Boaitey, Nana, Lucas Böttcher, Daihai He, et al.. (2024). Impact of cross-reactivity and herd immunity on SARS-CoV-2 pandemic severity. Infectious Diseases. 56(10). 897–902. 2 indexed citations
6.
Zhuang, Zian, et al.. (2023). Age-period-cohort analysis and projection of cancer mortality in Hong Kong, 1998–2030. BMJ Open. 13(10). e072751–e072751. 4 indexed citations
7.
Li, Na, Lefei Han, Min Peng, et al.. (2020). Maternal and Neonatal Outcomes of Pregnant Women With Coronavirus Disease 2019 (COVID-19) Pneumonia: A Case-Control Study. Clinical Infectious Diseases. 71(16). 2035–2041. 263 indexed citations breakdown →
8.
Tao, Jun, et al.. (2020). Influenza versus COVID-19 cases among influenza-like illness patients in travelers from Wuhan to Hong Kong in January 2020. International Journal of Infectious Diseases. 101. 323–325. 2 indexed citations
9.
Fan, Guihong, Zhichun Yang, Qianying Lin, et al.. (2020). Decreased Case Fatality Rate of COVID‐19 in the Second Wave: A study in 53 countries or regions. Transboundary and Emerging Diseases. 68(2). 213–215. 107 indexed citations
10.
Zhao, Shi, Salihu S. Musa, Qianying Lin, et al.. (2020). Estimating the Unreported Number of Novel Coronavirus (2019-nCoV) Cases in China in the First Half of January 2020: A Data-Driven Modelling Analysis of the Early Outbreak. Journal of Clinical Medicine. 9(2). 388–388. 302 indexed citations
11.
Zhao, Shi, Zian Zhuang, Peihua Cao, et al.. (2020). Quantifying the association between domestic travel and the exportation of novel coronavirus (2019-nCoV) cases from Wuhan, China in 2020: a correlational analysis. Journal of Travel Medicine. 27(2). 66 indexed citations
12.
Tan, Li, Xiaoquan Lai, Lefei Han, et al.. (2020). Air and surface contamination by SARS-CoV-2 virus in a tertiary hospital in Wuhan, China. International Journal of Infectious Diseases. 99. 3–7. 47 indexed citations
13.
Zhuang, Zian, Shi Zhao, Qianying Lin, et al.. (2020). Preliminary estimation of the novel coronavirus disease (COVID-19) cases in Iran: A modelling analysis based on overseas cases and air travel data. International Journal of Infectious Diseases. 94. 29–31. 58 indexed citations
14.
Yang, Lin, et al.. (2020). <p>Probable Longer Incubation Period for Elderly COVID-19 Cases: Analysis of 180 Contact Tracing Data in Hubei Province, China</p>. Risk Management and Healthcare Policy. Volume 13. 1111–1117. 21 indexed citations
15.
He, Daihai, Shi Zhao, Qianying Lin, et al.. (2020). The relative transmissibility of asymptomatic COVID-19 infections among close contacts. International Journal of Infectious Diseases. 94. 145–147. 152 indexed citations
16.
Yuen, John, Katherine Chang, Frances Kam Yuet Wong, et al.. (2019). Influence of Urban Green Space and Facility Accessibility on Exercise and Healthy Diet in Hong Kong. International Journal of Environmental Research and Public Health. 16(9). 1514–1514. 31 indexed citations
17.
Yang, Shu, Alice P. Y. Chiu, Qianying Lin, et al.. (2018). HIV epidemics in Shenzhen and Chongqing, China. PLoS ONE. 13(2). e0192849–e0192849. 24 indexed citations
18.
Tang, Xiujuan, Shi Zhao, Alice P. Y. Chiu, et al.. (2017). Analysing increasing trends of Guillain-Barré Syndrome (GBS) and dengue cases in Hong Kong using meteorological data. PLoS ONE. 12(12). e0187830–e0187830. 12 indexed citations
19.
Zhang, Jian, et al.. (2007). [Study on clustering of Yunnan unexplained sudden death in household and village].. PubMed. 41 Suppl. 143–5. 1 indexed citations
20.
Yang, Lin, Leena Ukil, Aysha H. Osmani, et al.. (2004). Rapid Production of Gene Replacement Constructs and Generation of a Green Fluorescent Protein-Tagged Centromeric Marker in Aspergillus nidulans. Eukaryotic Cell. 3(5). 1359–1362. 212 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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