Hangbin Wu

98 papers receiving 1.6k citations

Peers

Hangbin Wu
Comparison fields: 5 of 98
  • Geology 392
  • Environmental Engineering 460
  • Transportation 173
  • Management, Monitoring, Policy and Law 256
  • Computer Vision and Pattern Recognition 333
Replace Joon Heo with:
Joon Heo South Korea
Ben G. H. Gorte Netherlands
Charles K. Toth United States
Ming‐Der Yang Taiwan
Zixiang Zhou China
Jiasong Zhu China
Jixian Zhang China
Farhad Samadzadegan Iran
Maher Ibrahim Sameen Australia
Ahmed Shaker Canada
Hangbin Wu relative to Joon Heo South Korea Joon Heo's profile →
Citations per field
00.5×2×3×4.2×
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 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021200
2 2019109
3 201392
4 202078
5 201477
6 202066
7 201863
8 201359
9 202252
10 202040
11 201532
12 202131
13 201331
14 201928
15 202028
16 201628
17 201328
18 201427
19 202027
20 202223

About Hangbin Wu

Hangbin Wu is a scholar working on Geology, Environmental Engineering, Transportation, Ocean Engineering and Computer Vision and Pattern Recognition, having authored 107 papers that have together received 1.7k 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 (8 papers), Urban Transport and Accessibility (8 papers) and Infrastructure Maintenance and Monitoring (8 papers). The work is most often cited by research in Geology (392 citations), Environmental Engineering (460 citations), Transportation (173 citations), Management, Monitoring, Policy and Law (256 citations) and Computer Vision and Pattern Recognition (333 citations). Hangbin Wu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Chun Liu, Yujia Zhai, Chun Liu, Lianbi Yao, Hongchao Fan, Ping Lü, Chi Guo, Weiyue Li, Fei–Yue Wang and Dongpu Cao. Their work appears in journals such as International Journal of Applied Earth Observation and Geoinformation, Remote Sensing, Advanced Engineering Informatics, ISPRS Journal of Photogrammetry and Remote Sensing 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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