Huawei Wan

48 papers receiving 392 citations

Peers

Huawei Wan
Comparison fields: 5 of 68
  • Ecology 266
  • Environmental Engineering 138
  • Ecological Modeling 38
  • Global and Planetary Change 176
  • Media Technology 33
Replace Julio Pastor-Guzman with:
Julio Pastor-Guzman United Kingdom
Lukas Blickensdörfer Germany
Zhengfei Guo China
M. A. Schull United States
Torsten Prinz Germany
Giandomenico De Luca Italy
Maximo Larry Lopez Caceres Japan
Yaotong Cai China
Morgan A. Crowley Canada
Biyao Zhang China
Huawei Wan relative to Julio Pastor-Guzman United Kingdom Julio Pastor-Guzman's profile →
Citations per field
00.5×
Julio Pastor-Guzman · 1×
Citations per year

Countries citing papers authored by Huawei Wan

Since Specialization
Citations

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

Fields of papers citing papers by Huawei Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201463
2 200650
3 200748
4 202027
5 201626
6 202122
7 201816
8 202116
9 201914
10 20238
11 20218
12 20058
13 20207
14 20087
15 20166
16 20066
17 19995
18 20235
19 20045
20 20195

About Huawei Wan

Huawei Wan is a scholar working on Ecology, Global and Planetary Change, Atmospheric Science, Environmental Engineering and Plant Science, having authored 58 papers that have together received 411 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (23 papers), Remote Sensing and Land Use (18 papers), Land Use and Ecosystem Services (14 papers), Remote Sensing and LiDAR Applications (8 papers), Leaf Properties and Growth Measurement (7 papers), Remote-Sensing Image Classification (5 papers), Urban Heat Island Mitigation (5 papers) and Forest, Soil, and Plant Ecology in China (4 papers). The work is most often cited by research in Ecology (266 citations), Environmental Engineering (138 citations), Ecological Modeling (38 citations), Global and Planetary Change (176 citations) and Media Technology (33 citations). Huawei Wan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jindi Wang, Yonghua Qu, Qiao Wang, Hongmin Zhou, Dong Jiang, Jingying Fu, Xiaoman Liu, Guoqing Zhou, Xiaowen Li and Zehao Li. Their work appears in journals such as Remote Sensing, Photogrammetric Engineering & Remote Sensing, International Journal of Wildland Fire, Applied Sciences and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

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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