Penghai Wu

2.8k citations
52 papers · 2.2k · h-index 25

Impact in

Papers in

Penghai Wu

52 papers receiving 2.1k citations

Peers

Penghai Wu
Comparison fields: 5 of 84
  • Environmental Engineering 1.3k
  • Media Technology 572
  • Atmospheric Science 895
  • Global and Planetary Change 757
  • Health, Toxicology and Mutagenesis 264
Replace Yanlan Wu with:
Yanlan Wu China
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Hongzhang Xu China
Shuhe Zhao China
Xiuguo Liu China
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Tanvir Islam United States
Aliihsan Şekertekin Türkiye
Anupma Prakash United States
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Penghai Wu relative to Yanlan Wu China Yanlan Wu's profile →
Citations per field
00.5×9.8×
Yanlan Wu · 1×
Citations per year

Countries citing papers authored by Penghai Wu

Since Specialization
Citations

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

Fields of papers citing papers by Penghai Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015314
2 2014222
3 2018115
4 2019100
5 202095
6 201893
7 201986
8 202085
9 201377
10 201474
11 202173
12 202165
13 202263
14 202259
15 201356
16 201053
17 202049
18 202047
19 202245
20 202045

About Penghai Wu

Penghai Wu is a scholar working on Environmental Engineering, Atmospheric Science, Media Technology, Global and Planetary Change and Ecology, having authored 52 papers that have together received 2.2k indexed citations. Recurring topics across this work include Urban Heat Island Mitigation (24 papers), Remote Sensing and Land Use (19 papers), Advanced Image Fusion Techniques (11 papers), Remote-Sensing Image Classification (10 papers), Land Use and Ecosystem Services (9 papers), Remote Sensing in Agriculture (9 papers), Cryospheric studies and observations (6 papers) and Remote Sensing and LiDAR Applications (6 papers). The work is most often cited by research in Environmental Engineering (1.3k citations), Media Technology (572 citations), Atmospheric Science (895 citations), Global and Planetary Change (757 citations) and Health, Toxicology and Mutagenesis (264 citations). Penghai Wu has collaborated with scholars based in China, South Korea and Australia. Frequent co-authors include Huanfeng Shen, Liangpei Zhang, Xiaoshuang Ma, Chao Zeng, Yanlan Wu, Hui Yang, Liwen Huang, Zhixiang Yin, Frank-Michael Göttsche and Biao Wang. Their work appears in journals such as Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing and Sensors.

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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