Hangbin Wu

98 papers receiving 1.6k citations

Peers

Hangbin Wu
Comparison fields: 5 of 97
  • Geology 380
  • Environmental Engineering 447
  • Transportation 174
  • Management, Monitoring, Policy and Law 254
  • Computer Vision and Pattern Recognition 320
Replace Joon Heo with:
Joon Heo South Korea
Ben Gorte Netherlands
Charles Toth United States
Jixian Zhang China
Jiasong Zhu China
Zixiang Zhou China
Haihong Zhu China
Ahmed Shaker Canada
Farhad Samadzadegan Iran
Piero Boccardo Italy
Hangbin Wu relative to Joon Heo South Korea Joon Heo's profile →
Citations per field
00.5×4.0×
Joon Heo · 1×
Citations per year

Countries citing papers authored by Hangbin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Hangbin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021177
2 2019108
3 201388
4 201475
5 202074
6 201865
7 202064
8 201360
9 202248
10 202040
11 201532
12 201330
13 201629
14 201928
15 202028
16 202128
17 201328
18 202026
19 201426
20 201423

About Hangbin Wu

Hangbin Wu is a scholar working on Environmental Engineering, Geology, Computer Vision and Pattern Recognition, Aerospace Engineering and Ocean Engineering, having authored 106 papers that have together received 1.6k indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (46 papers), 3D Surveying and Cultural Heritage (36 papers), Robotics and Sensor-Based Localization (14 papers), Landslides and related hazards (11 papers), Automated Road and Building Extraction (10 papers), Human Mobility and Location-Based Analysis (9 papers), Urban Transport and Accessibility (8 papers) and Infrastructure Maintenance and Monitoring (8 papers). The work is most often cited by research in Geology (380 citations), Environmental Engineering (447 citations), Transportation (174 citations), Management, Monitoring, Policy and Law (254 citations) and Computer Vision and Pattern Recognition (320 citations). Hangbin Wu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Chun Liu, Yujia Zhai, Chun Liu, Hongchao Fan, Ping Lü, Weiyue Li, Chi Guo, Rongxing Li, Chengzhao Wu and Dongying Li. Their work appears in journals such as International Journal of Applied Earth Observation and Geoinformation, Remote Sensing, ISPRS Journal of Photogrammetry and Remote Sensing, Advanced Engineering Informatics 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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