Hang Wang

1.9k citations
82 papers · 1.3k · h-index 19

Impact in

Papers in

Hang Wang

72 papers receiving 1.2k citations

Peers

Hang Wang
Comparison fields: 5 of 77
  • Geophysics 542
  • Computer Vision and Pattern Recognition 537
  • Ocean Engineering 250
  • Artificial Intelligence 401
  • Computational Mechanics 159
Replace Alexander Yarovoy with:
Alexander Yarovoy Netherlands
Amir Adler Israel
Liuqing Yang China
Shengheng Liu China
Andriyan Bayu Suksmono Indonesia
Shaohuan Zu China
Thomas Oberlin France
Klamer Schutte Netherlands
Weilin Huang China
Hang Wang relative to Alexander Yarovoy Netherlands Alexander Yarovoy's profile →
Citations per field
00.5×6.5×
Alexander Yarovoy · 1×
Citations per year

Countries citing papers authored by Hang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020198
2 2021151
3 202174
4 201161
5 202153
6 202049
7 202038
8 202134
9 202033
10 202233
11 202031
12 201929
13 202027
14 202027
15 202225
16 202122
17 202422
18 202221
19 202319
20 202116

About Hang Wang

Hang Wang is a scholar working on Geophysics, Computer Vision and Pattern Recognition, Computational Mechanics, Artificial Intelligence and Ocean Engineering, having authored 82 papers that have together received 1.3k indexed citations. Recurring topics across this work include Seismic Imaging and Inversion Techniques (35 papers), Seismic Waves and Analysis (27 papers), Image and Signal Denoising Methods (14 papers), Radiative Heat Transfer Studies (7 papers), Seismology and Earthquake Studies (7 papers), Hydraulic Fracturing and Reservoir Analysis (6 papers), Numerical methods in inverse problems (5 papers) and Geophysical Methods and Applications (5 papers). The work is most often cited by research in Geophysics (542 citations), Computer Vision and Pattern Recognition (537 citations), Ocean Engineering (250 citations), Artificial Intelligence (401 citations) and Computational Mechanics (159 citations). Hang Wang has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Yangkang Chen, Bingbing Ni, Wenjun Zhang, Wei Chen, Minghao Xu, Qi Tian, Liuqing Yang, Xingye Liu, Guangtan Huang and Linguo Li. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Geophysics, Journal of Quantitative Spectroscopy and Radiative Transfer, Geophysical Journal International and IEEE Access.

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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