Hao Wu

2.9k citations
159 papers · 2.1k · 2 hit papers · h-index 23

Impact in

Papers in

Hao Wu

143 papers receiving 2.1k citations

Hao Wu's Hit Papers

GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition 2022 · 138 citations
1380+1+3Years since publication50100150

Peers

Hao Wu
Comparison fields: 5 of 144
  • Global and Planetary Change 717
  • Environmental Engineering 449
  • Transportation 134
  • Media Technology 175
  • Atmospheric Science 292
Replace Guido Cervone with:
Guido Cervone United States
M. R. Delavar Iran
Zeqiang Chen China
Şebnem Düzgün Türkiye
Songnian Li Canada
Linwang Yuan China
Chongcheng Chen China
Jianhua Gong China
Jagannath Aryal Australia
Xiaojun Yang China
Hao Wu relative to Guido Cervone United States Guido Cervone's profile →
Citations per field
00.5×1.5×2.3×
Guido Cervone · 1×
Citations per year

Countries citing papers authored by Hao Wu

Since Specialization
Citations

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

Fields of papers citing papers by Hao Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 159 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Identifying core driving factors of urban land use change from global land cover products and POI data using the random forest method
Hit paper breakdown →
2021163
2 2014145
3
GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition
Hit paper breakdown →
2022138
4 2019122
5 201689
6 202176
7 202072
8 202369
9 202367
10 202367
11 201466
12 202151
13 201247
14 201240
15 201436
16 202233
17 201330
18 202030
19 201929
20 201326

About Hao Wu

Hao Wu is a scholar working on Global and Planetary Change, Environmental Engineering, Mechanical Engineering, Atmospheric Science and Control and Systems Engineering, having authored 159 papers that have together received 2.1k indexed citations. Recurring topics across this work include Land Use and Ecosystem Services (26 papers), Remote Sensing and Land Use (19 papers), Remote Sensing and LiDAR Applications (13 papers), 3D Surveying and Cultural Heritage (10 papers), Remote Sensing in Agriculture (10 papers), Geographic Information Systems Studies (10 papers), Remote-Sensing Image Classification (9 papers) and Environmental Changes in China (8 papers). The work is most often cited by research in Global and Planetary Change (717 citations), Environmental Engineering (449 citations), Transportation (134 citations), Media Technology (175 citations) and Atmospheric Science (292 citations). Hao Wu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Wenzhong Shi, Anqi Lin, Keith Clarke, Dan‐Xia Song, Jianhua Zhang, Yan Li, Tingting Jiang, Anqi Lin, Zelang Miao and Songnian Li. Their work appears in journals such as IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, ISPRS Journal of Photogrammetry and Remote Sensing, International Journal of Applied Earth Observation and Geoinformation, Remote Sensing and GPS Solutions.

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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