Wangwang Lv

1.2k citations
24 papers · 239 · h-index 10

Impact in

Papers in

Wangwang Lv

19 papers receiving 238 citations

Peers

Wangwang Lv
Comparison fields: 5 of 36
  • Ecological Modeling 43
  • Soil Science 76
  • Ecology 120
  • Nature and Landscape Conservation 55
  • Global and Planetary Change 80
Replace C. T. White with:
C. T. White United States
Rita Dumbur Israel
Amélie Saillard France
Magalì Matteodo Switzerland
Sarah E. Stehn United States
Mónica Toro Manríquez Argentina
Wusheng Xiang China
Ludovica Oddi Italy
Felix Gottschall Germany
Remigiusz Pielech Poland
Wangwang Lv relative to C. T. White United States C. T. White's profile →
Citations per field
00.5×
C. T. White · 1×
Citations per year

Countries citing papers authored by Wangwang Lv

Since Specialization
Citations

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

Fields of papers citing papers by Wangwang Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wangwang Lv, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wangwang Lv Line = papers co-authored together Wangwang Lv links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201932
2 201930
3 201726
4 201922
5 201922
6 202014
7 202012
8 202212
9 201812
10 20249
11 20189
12 20228
13 20198
14 20227
15 20187
16 20223
17 20203
18 20232
19 20241
20 20250

About Wangwang Lv

Wangwang Lv is a scholar working on Ecology, Nature and Landscape Conservation, Global and Planetary Change, Ecological Modeling and Soil Science, having authored 24 papers that have together received 239 indexed citations. Recurring topics across this work include Ecology and Vegetation Dynamics Studies (13 papers), Plant Water Relations and Carbon Dynamics (8 papers), Peatlands and Wetlands Ecology (7 papers), Remote Sensing in Agriculture (6 papers), Species Distribution and Climate Change (6 papers), Soil Carbon and Nitrogen Dynamics (6 papers), Plant and animal studies (5 papers) and Climate change and permafrost (3 papers). The work is most often cited by research in Ecological Modeling (43 citations), Soil Science (76 citations), Ecology (120 citations), Nature and Landscape Conservation (55 citations) and Global and Planetary Change (80 citations). Wangwang Lv has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Shiping Wang, Caiyun Luo, Tsechoe Dorji, Zhenhua Zhang, Lili Jiang, Lirong Zhang, Bowen Li, Yanfen Wang, Peipei Liu and Huan Hong. Their work appears in journals such as Journal of Plant Ecology, Agricultural and Forest Meteorology, The Science of The Total Environment, Global Change Biology and Frontiers in Plant Science.

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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