X. Ben Wu

4.4k citations
128 papers · 3.4k · h-index 34

Impact in

Papers in

X. Ben Wu

122 papers receiving 3.2k citations

Peers

X. Ben Wu
Comparison fields: 5 of 157
  • Nature and Landscape Conservation 893
  • Soil Science 584
  • Ecology 1.5k
  • Global and Planetary Change 971
  • Ecological Modeling 146
Replace Cátia Nunes da Cunha with:
Cátia Nunes da Cunha Brazil
Didier Alard France
Fei Lu China
Xin Jing China
Stefan C. Dekker Netherlands
Andrew J. Tanentzap United Kingdom
Huai Chen China
Mikael Ohlson Norway
Franz Makeschin Germany
X. Ben Wu relative to Cátia Nunes da Cunha Brazil Cátia Nunes da Cunha's profile →
Citations per field
00.5×1.5×
Cátia Nunes da Cunha · 1×
Citations per year

Countries citing papers authored by X. Ben Wu

Since Specialization
Citations

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

Fields of papers citing papers by X. Ben Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside X. Ben Wu, 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 X. Ben Wu Line = papers co-authored together X. Ben Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004308
2 1998232
3 1995120
4 200091
5 200191
6 200288
7 200578
8 200172
9 200467
10 200966
11 200063
12 199858
13 201856
14 201755
15 201154
16 200354
17 200651
18 202346
19 200846
20 201746

About X. Ben Wu

X. Ben Wu is a scholar working on Ecology, Nature and Landscape Conservation, Global and Planetary Change, Soil Science and Management, Monitoring, Policy and Law, having authored 128 papers that have together received 3.4k indexed citations. Recurring topics across this work include Ecology and Vegetation Dynamics Studies (42 papers), Rangeland and Wildlife Management (25 papers), Land Use and Ecosystem Services (19 papers), Wildlife Ecology and Conservation (14 papers), Soil Carbon and Nitrogen Dynamics (12 papers), Plant Water Relations and Carbon Dynamics (11 papers), Remote Sensing in Agriculture (10 papers) and Fire effects on ecosystems (10 papers). The work is most often cited by research in Nature and Landscape Conservation (893 citations), Soil Science (584 citations), Ecology (1.5k citations), Global and Planetary Change (971 citations) and Ecological Modeling (146 citations). X. Ben Wu has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Thomas W. Boutton, Steven R. Archer, William J. Mitsch, Yong Zhou, Edith Bai, Fred E. Smeins, Thomas L. Thurow, Robert W. Nairn, Feng Liu and Daniel Z. Sui. Their work appears in journals such as Rangeland Ecology & Management, Landscape Ecology, Wetlands, Journal of Wildlife Management and Oecologia.

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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