Boyu Wang

507 citations
24 papers · 257 · h-index 9

Impact in

Papers in

Boyu Wang

20 papers receiving 247 citations

Peers

Boyu Wang
Comparison fields: 5 of 65
  • Geology 92
  • Building and Construction 56
  • Computer Vision and Pattern Recognition 81
  • Environmental Engineering 43
  • Civil and Structural Engineering 45
Replace Chi‐Han Peng with:
Chi‐Han Peng Saudi Arabia
Rohit Mohan India
Soji Yamakawa United States
Giovanni Pintore Italy
Dibet Garcia Gonzalez Portugal
Carlos Vallespi-Gonzalez United States
Zebang Yang China
Nianjuan Jiang Singapore
Sebastian Claici United States
Rolf Lakaemper United States
Boyu Wang relative to Chi‐Han Peng Saudi Arabia Chi‐Han Peng's profile →
Citations per field
00.5×4.5×
Chi‐Han Peng · 1×
Citations per year

Countries citing papers authored by Boyu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Boyu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202168
2 202227
3 202322
4 202321
5 201819
6 201915
7 202013
8 20189
9 20168
10
Multitask Metric Learning: Theory and Algorithm
20197
11
Distribution Matching for Crowd Counting
20207
12 20257
13 20187
14 20207
15 20165
16 20255
17 20254
18
Sequence-to-Segment Networks for Segment Detection
20183
19 20252
20 20251

About Boyu Wang

Boyu Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Geology, Control and Systems Engineering and Computational Mechanics, having authored 24 papers that have together received 257 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (5 papers), 3D Surveying and Cultural Heritage (5 papers), Anomaly Detection Techniques and Applications (4 papers), Remote Sensing and LiDAR Applications (3 papers), Infrastructure Maintenance and Monitoring (2 papers), Face and Expression Recognition (2 papers), Sparse and Compressive Sensing Techniques (2 papers) and Multimodal Machine Learning Applications (2 papers). The work is most often cited by research in Geology (92 citations), Building and Construction (56 citations), Computer Vision and Pattern Recognition (81 citations), Environmental Engineering (43 citations) and Civil and Structural Engineering (45 citations). Boyu Wang has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Jack C.P. Cheng, Chao Yin, Qian Wang, Minh Hoai, Jing Yang, Songtao Feng, Zhengyi Chen, Vincent J.L. Gan, Lihan Huang and Ji Yang. Their work appears in journals such as Automation in Construction, Advanced Engineering Informatics, IEEE Transactions on Visualization and Computer Graphics, SoftwareX and Computer Vision and Image Understanding.

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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