Lin Wang

7.4k total citations
278 papers, 5.6k citations indexed

About

Lin Wang is a scholar working on Public Health, Environmental and Occupational Health, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, Lin Wang has authored 278 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Public Health, Environmental and Occupational Health, 52 papers in Computer Networks and Communications and 49 papers in Molecular Biology. Recurrent topics in Lin Wang's work include Mathematical and Theoretical Epidemiology and Ecology Models (59 papers), Evolution and Genetic Dynamics (36 papers) and Nonlinear Dynamics and Pattern Formation (24 papers). Lin Wang is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (59 papers), Evolution and Genetic Dynamics (36 papers) and Nonlinear Dynamics and Pattern Formation (24 papers). Lin Wang collaborates with scholars based in China, Canada and United States. Lin Wang's co-authors include Xingfu Zou, Hongying Shu, James Watmough, Gail S. K. Wolkowicz, Jinde Cao, P. van den Driessche, Shengqiang Liu, Xiaolei Zhang, Renjun Ma and Yuming Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Applied Physics.

In The Last Decade

Lin Wang

263 papers receiving 5.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lin Wang China 40 1.5k 1.1k 995 865 828 278 5.6k
Jacques Demongeot France 35 451 0.3× 345 0.3× 572 0.6× 631 0.7× 1.8k 2.1× 324 5.0k
Marcel Salathé Switzerland 33 920 0.6× 172 0.2× 754 0.8× 1.7k 1.9× 311 0.4× 85 7.8k
Tom Britton Sweden 28 1.3k 0.9× 138 0.1× 1.3k 1.3× 2.0k 2.3× 1.4k 1.7× 112 7.5k
Sanyi Tang China 44 4.1k 2.9× 491 0.5× 1.8k 1.8× 3.4k 3.9× 291 0.4× 240 7.4k
Zhen Jin China 54 5.2k 3.6× 1.2k 1.2× 2.7k 2.7× 3.7k 4.3× 479 0.6× 474 10.8k
Lin Wang China 39 1.0k 0.7× 236 0.2× 595 0.6× 2.0k 2.3× 517 0.6× 238 6.5k
Dirk Brockmann Germany 25 670 0.5× 432 0.4× 319 0.3× 2.0k 2.3× 687 0.8× 71 6.1k
Eric Renshaw United Kingdom 27 1.3k 0.9× 188 0.2× 894 0.9× 740 0.9× 359 0.4× 111 4.2k
Petter Holme Sweden 44 600 0.4× 1.7k 1.6× 677 0.7× 645 0.7× 1.3k 1.6× 157 10.3k
Píetro Lió United Kingdom 53 323 0.2× 639 0.6× 1.2k 1.2× 248 0.3× 5.8k 7.0× 444 12.8k

Countries citing papers authored by Lin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Lin Wang. A scholar is included among the top collaborators of Lin Wang 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 Wang. Lin Wang 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
2.
Wang, Lin, et al.. (2024). Chemical structure and prebiotic activity of a Dictyophora indusiata polysaccharide fraction. Food Chemistry. 463(Pt 1). 141086–141086. 7 indexed citations
4.
Shu, Hongying, et al.. (2024). Modeling virus-stimulated proliferation of CD4+ T-cell, cell-to-cell transmission and viral loss in HIV infection dynamics. Mathematical Biosciences. 377. 109302–109302. 1 indexed citations
5.
Glassner, Kerri, et al.. (2024). Therapeutic drug monitoring in inflammatory bowel disease patients on vedolizumab. Journal of Digestive Diseases. 25(2). 91–99. 2 indexed citations
6.
Lin, Genghong, Lin Wang, & Jianshe Yu. (2023). Basins of attraction and paired Hopf bifurcations for delay differential equations with bistable nonlinearity and delay-dependent coefficient. Journal of Differential Equations. 354. 183–206. 4 indexed citations
7.
Liu, Hui, et al.. (2023). A deep learning-based method for detecting granular fertilizer deposition distribution patterns in centrifugal variable-rate spreader fertilization. Computers and Electronics in Agriculture. 212. 108107–108107. 5 indexed citations
8.
Wang, Lin, et al.. (2023). Perillaldehyde: A promising antibacterial agent for the treatment of pneumonia caused by Acinetobacter baumannii infection. International Immunopharmacology. 126. 111311–111311. 9 indexed citations
9.
Ali, Sajid, Wei Liu, Zedong Zhang, et al.. (2022). Countrywide inter‐epidemic region migration pattern suggests the role of southwestern population in wheat stripe rust epidemics in China. Environmental Microbiology. 24(10). 4684–4701. 13 indexed citations
10.
Zhao, Jie, Zia Ur Rehman, Aamır Iqbal, et al.. (2022). Himalayan mountains imposing a barrier on gene flow of wheat yellow rust pathogen in the bordering regions of Pakistan and China. Fungal Genetics and Biology. 164. 103753–103753. 9 indexed citations
11.
Li, Fenghua, Lianlong Yu, Xiaolin Wang, et al.. (2022). Exposure assessment of aflatoxins and zearalenone in edible vegetable oils in Shandong, China: health risks posed by mycotoxin immunotoxicity and reproductive toxicity in children. Environmental Science and Pollution Research. 30(2). 3743–3758. 22 indexed citations
12.
Deng, Chuang, Zhihai Rong, Lin Wang, & Xiaofan Wang. (2021). Modeling Replicator Dynamics in Stochastic Games Using Markov Chain Method. Autonomous Agents and Multi-Agent Systems. 420–428. 1 indexed citations
14.
Shan, Dongqian, Xiaodong Zheng, Zehui Hu, et al.. (2021). MKK4-MPK3-WRKY17-mediated salicylic acid degradation increases susceptibility to Glomerella leaf spot in apple. PLANT PHYSIOLOGY. 186(2). 1202–1219. 64 indexed citations
15.
Wang, Lin, et al.. (2020). Preoperative Prognostic Nutritional Index is a Significant Predictor of Survival in Esophageal Squamous Cell Carcinoma Patients. Nutrition and Cancer. 73(2). 215–220. 12 indexed citations
16.
Dong, Yuanyuan, Lin Wang, Xu Chu, Shuai Cui, & Qingxia Kong. (2019). [Altered expressions of SphK1 and S1PR2 in hippocampus of epileptic rats].. PubMed. 35(4). 308–311. 1 indexed citations
17.
Wang, Fang, Lin Wang, & Yuming Chen. (2018). Lagged multi-affine height correlation analysis for exploring lagged correlations in complex systems. Chaos An Interdisciplinary Journal of Nonlinear Science. 28(6). 61102–61102. 6 indexed citations
18.
Wang, Lin, Jiahe Qian, & Yi‐Hsuan Lee. (2018). Grouping Effects on Jackknifed Variance Estimation for Item Response Theory Scaling and Equating with Cluster-Based Assessment Data. Research Report. ETS RR-18-16.. ETS Research Report Series. 1 indexed citations
19.
Li, Yuping, Huan Wang, Lin Wang, et al.. (2009). Mitochondrial DNA analysis reveals a low nucleotide diversity of Caligula japonica in China. AFRICAN JOURNAL OF BIOTECHNOLOGY. 8(12). 2707–2712. 11 indexed citations
20.
Fan, Xitao & Lin Wang. (1996). Comparability of Jackknife and Bootstrap Results: An Investigation for a Case of Canonical Correlation Analysis. The Journal of Experimental Education. 64(2). 173–189. 26 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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