Ling Tan

461 total citations
18 papers, 328 citations indexed

About

Ling Tan is a scholar working on Sociology and Political Science, Economics and Econometrics and Global and Planetary Change. According to data from OpenAlex, Ling Tan has authored 18 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Sociology and Political Science, 6 papers in Economics and Econometrics and 6 papers in Global and Planetary Change. Recurrent topics in Ling Tan's work include Disaster Management and Resilience (5 papers), COVID-19 epidemiological studies (4 papers) and COVID-19 Pandemic Impacts (3 papers). Ling Tan is often cited by papers focused on Disaster Management and Resilience (5 papers), COVID-19 epidemiological studies (4 papers) and COVID-19 Pandemic Impacts (3 papers). Ling Tan collaborates with scholars based in China, United Kingdom and United States. Ling Tan's co-authors include Ji Guo, Xianhua Wu, David M. Schultz, Kun Zhou, Lianshui Li, Ernesto D.R. Santibañez González, Zeshui Xu, Jingming Xia, Dawei Xuan and Yingying Wang and has published in prestigious journals such as Journal of Cleaner Production, Bulletin of the American Meteorological Society and Climatic Change.

In The Last Decade

Ling Tan

17 papers receiving 319 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ling Tan China 8 88 76 64 58 34 18 328
Toni Toharudin Indonesia 11 104 1.2× 66 0.9× 119 1.9× 97 1.7× 48 1.4× 47 527
Elke Moons Belgium 12 104 1.2× 58 0.8× 69 1.1× 25 0.4× 33 1.0× 26 725
Willem L. Auping Netherlands 10 68 0.8× 66 0.9× 31 0.5× 35 0.6× 96 2.8× 27 334
Norbert Brunner Austria 16 70 0.8× 54 0.7× 50 0.8× 85 1.5× 56 1.6× 62 720
José Balsa‐Barreiro Spain 15 73 0.8× 112 1.5× 35 0.5× 144 2.5× 8 0.2× 30 580
Zhongli Zhou China 13 46 0.5× 65 0.9× 46 0.7× 60 1.0× 13 0.4× 41 450
Giuseppe Borruso Italy 13 79 0.9× 192 2.5× 70 1.1× 28 0.5× 9 0.3× 46 619
Chenjing Fan China 14 147 1.7× 199 2.6× 76 1.2× 95 1.6× 15 0.4× 28 608
Boyeong Hong United States 7 41 0.5× 104 1.4× 112 1.8× 33 0.6× 9 0.3× 10 467
Yiping Zeng China 12 72 0.8× 60 0.8× 25 0.4× 48 0.8× 6 0.2× 31 464

Countries citing papers authored by Ling Tan

Since Specialization
Citations

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

Fields of papers citing papers by Ling Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Tan

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

All Works

18 of 18 papers shown
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Tan, Ling & David M. Schultz. (2023). Weather Effects on the Spread of COVID-19: Characteristics and Critical Analysis of the First and Second Years of Scientific Research. Bulletin of the American Meteorological Society. 104(8). E1345–E1371. 3 indexed citations
5.
Qi, Zhen, et al.. (2023). Global trends in research of acute type a aortic dissection: A bibliometric analysis from 2002 to 2022. Heliyon. 9(7). e17955–e17955. 2 indexed citations
6.
Tan, Ling, et al.. (2022). Visualization and analysis of mapping knowledge domains for coronavirus research. Medicine. 101(25). e29508–e29508. 2 indexed citations
7.
Tan, Ling, Kun Zhou, Hui Zheng, & Lianshui Li. (2021). Revalidation of temperature changes on economic impacts: a meta-analysis. Climatic Change. 168(1-2). 2 indexed citations
8.
Tan, Ling & David M. Schultz. (2021). Damage classification and recovery analysis of the Chongqing, China, floods of August 2020 based on social-media data. Journal of Cleaner Production. 313. 127882–127882. 32 indexed citations
9.
Tan, Ling & David M. Schultz. (2021). How Is COVID-19 Affected by Weather? Metaregression of 158 Studies and Recommendations for Best Practices in Future Research. Weather Climate and Society. 14(1). 237–255. 17 indexed citations
10.
Tan, Ling, Xianhua Wu, Ji Guo, & Ernesto D.R. Santibañez González. (2021). Assessing the Impacts of COVID‐19 on the Industrial Sectors and Economy of China. Risk Analysis. 42(1). 21–39. 52 indexed citations
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Tan, Ling, et al.. (2020). Can we detect trends in natural disaster management with artificial intelligence? A review of modeling practices. Natural Hazards. 107(3). 2389–2417. 67 indexed citations
13.
Xia, Jingming, et al.. (2020). ResNet15: Weather Recognition on Traffic Road with Deep Convolutional Neural Network. Advances in Meteorology. 2020. 1–11. 37 indexed citations
14.
Tan, Ling, et al.. (2020). Economic Loss Assessment of Tropical Cyclones Based on Bibliometric Data Analysis. Tropical Conservation Science. 13. 4 indexed citations
15.
Tan, Ling, Xianhua Wu, Zeshui Xu, & Lianshui Li. (2019). Comprehensive economic loss assessment of disaster based on CGE model and IO model—A case study on Beijing “7.21 Rainstorm”. International Journal of Disaster Risk Reduction. 39. 101246–101246. 39 indexed citations
16.
Wu, Xianhua, Ling Tan, Ji Guo, et al.. (2015). A study of allocative efficiency of PM2.5 emission rights based on a zero sum gains data envelopment model. Journal of Cleaner Production. 113. 1024–1031. 48 indexed citations
17.
Tan, Ling, Shunyi Zhang, Yanfeng Sun, & Jing Qi. (2009). Application of wireless sensor networks in energy automation. 34. 1–6. 5 indexed citations
18.

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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