Wanli Wu

637 total citations · 1 hit paper
8 papers, 457 citations indexed

About

Wanli Wu is a scholar working on Sociology and Political Science, Social Psychology and Global and Planetary Change. According to data from OpenAlex, Wanli Wu has authored 8 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Sociology and Political Science, 4 papers in Social Psychology and 3 papers in Global and Planetary Change. Recurrent topics in Wanli Wu's work include Diverse Aspects of Tourism Research (4 papers), Recreation, Leisure, Wilderness Management (4 papers) and Fire effects on ecosystems (3 papers). Wanli Wu is often cited by papers focused on Diverse Aspects of Tourism Research (4 papers), Recreation, Leisure, Wilderness Management (4 papers) and Fire effects on ecosystems (3 papers). Wanli Wu collaborates with scholars based in Canada, China and United States. Wanli Wu's co-authors include Guangyu Wang, Dehui Christina Geng, John L. Innes, Xianli Wang, Futao Guo, Tom Swystun, Dante Castellanos‐Acuña, Mike Flannigan, Luc Guindon and Jane Park and has published in prestigious journals such as Science, Geophysical Research Letters and Sustainability.

In The Last Decade

Wanli Wu

7 papers receiving 441 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Impacts of COVID-19 pandemic on urban park visitation: a global analysis

2020 399 citations Dehui Christina Geng, John L. Innes et al. Journal of Forestry Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wanli Wu Canada	6	264	190	132	90	86	8	457
Dehui Christina Geng Canada	5	281 1.1×	169 0.9×	137 1.0×	88 1.0×	86 1.0×	9	462
Karl Samuelsson Sweden	10	308 1.2×	250 1.3×	132 1.0×	100 1.1×	97 1.1×	18	608
Pedro Calaza Martínez Spain	6	417 1.6×	301 1.6×	96 0.7×	171 1.9×	58 0.7×	12	539
Ana Marija Marin Croatia	6	436 1.7×	326 1.7×	101 0.8×	177 2.0×	57 0.7×	8	565
Andrej Verlič Slovenia	6	440 1.7×	344 1.8×	94 0.7×	179 2.0×	56 0.7×	10	600
Maja Simoneti Chile	2	356 1.3×	254 1.3×	86 0.7×	149 1.7×	50 0.6×	6	464
Megan M. Wheeler United States	11	209 0.8×	191 1.0×	28 0.2×	81 0.9×	21 0.2×	24	437
Na’Taki Osborne Jelks United States	10	168 0.6×	97 0.5×	112 0.8×	39 0.4×	39 0.5×	21	449
Xuan Guo China	8	274 1.0×	162 0.9×	79 0.6×	40 0.4×	76 0.9×	18	409
Anna Kajosaari Finland	12	218 0.8×	149 0.8×	49 0.4×	34 0.4×	153 1.8×	19	378

Countries citing papers authored by Wanli Wu

Since Specialization

Citations

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

Fields of papers citing papers by Wanli Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wanli Wu

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Geng, Dehui Christina, et al.. (2025). Adapting to change: Visitor patterns in national parks across the pandemic timeline. Trees Forests and People. 20. 100874–100874.

2.

Wang, Xianli, Mike Flannigan, Luc Guindon, et al.. (2025). Canadian forests are more conducive to high-severity fires in recent decades. Science. 387(6729). 91–97. 11 indexed citations

3.

Geng, Dehui Christina, et al.. (2024). Exploring impacts of COVID-19 on spatial and temporal patterns of visitors to Canadian Rocky Mountain National Parks from social media big data. Journal of Forestry Research. 35(1). 3 indexed citations

4.

Wu, Wanli, et al.. (2023). Impacts of COVID-19 on tourism and management response from Banff National Park, Canada. Journal of Forestry Research. 34(5). 1229–1244. 14 indexed citations

5.

Wu, Wanli, et al.. (2022). Fire regime and management in Canada's protected areas. International Journal of Geoheritage and Parks. 10(2). 240–251. 5 indexed citations

6.

Wang, Xianli, et al.. (2022). Burn Severity in Canada's Mountain National Parks: Patterns, Drivers, and Predictions. Geophysical Research Letters. 49(12). 8 indexed citations

7.

Geng, Dehui Christina, et al.. (2021). Seasonal Variation in Visitor Satisfaction and Its Management Implications in Banff National Park. Sustainability. 13(4). 1681–1681. 17 indexed citations

8.

Geng, Dehui Christina, John L. Innes, Wanli Wu, & Guangyu Wang. (2020). Impacts of COVID-19 pandemic on urban park visitation: a global analysis. Journal of Forestry Research. 32(2). 553–567. 399 indexed citations breakdown →

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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