Sensen Wu

1.4k citations
83 papers · 837 · h-index 16

Impact in

Papers in

Sensen Wu

69 papers receiving 811 citations

Peers

Sensen Wu
Comparison fields: 5 of 111
  • Environmental Engineering 218
  • Transportation 92
  • Media Technology 85
  • Global and Planetary Change 196
  • Atmospheric Science 133
Replace Xianfeng Song with:
Xianfeng Song China
Guonian Lv China
Zong-Guo Xia United States
Yanjun Wang China
Manchun Li China
Julian Zeidler Germany
Bo Wan China
Eufemia Tarantino Italy
Jingxiong Zhang China
Qimin Cheng China
Sensen Wu relative to Xianfeng Song China Xianfeng Song's profile →
Citations per field
00.5×1.5×2.2×
Xianfeng Song · 1×
Citations per year

Countries citing papers authored by Sensen Wu

Since Specialization
Citations

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

Fields of papers citing papers by Sensen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202097
2 202065
3 202157
4 202138
5 201733
6 202232
7 202124
8 202224
9
nD modelling road map : A vision for nD-Enabled construction
200523
10 202123
11 201822
12 199722
13 201920
14 202220
15 202319
16 202315
17 202314
18 202414
19 202413
20 202213

About Sensen Wu

Sensen Wu is a scholar working on Global and Planetary Change, Oceanography, Environmental Engineering, Computer Vision and Pattern Recognition and Media Technology, having authored 83 papers that have together received 837 indexed citations. Recurring topics across this work include Marine and coastal ecosystems (10 papers), Land Use and Ecosystem Services (9 papers), Remote-Sensing Image Classification (9 papers), Spatial and Panel Data Analysis (9 papers), Oceanographic and Atmospheric Processes (7 papers), Geochemistry and Geologic Mapping (7 papers), Marine and fisheries research (6 papers) and Advanced Image Fusion Techniques (6 papers). The work is most often cited by research in Environmental Engineering (218 citations), Transportation (92 citations), Media Technology (85 citations), Global and Planetary Change (196 citations) and Atmospheric Science (133 citations). Sensen Wu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Zhenhong Du, Feng Zhang, Renyi Liu, Zhongyi Wang, Yuanyuan Wang, Bo Huang, Qi Jin, Zhen Yan, Mengjiao Qin and Liuchang Xu. Their work appears in journals such as ISPRS International Journal of Geo-Information, IEEE Transactions on Geoscience and Remote Sensing, Remote Sensing, International Journal of Applied Earth Observation and Geoinformation and Geophysical Research Letters.

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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