Jun Wang

10.8k citations
343 papers · 7.6k · 3 hit papers · h-index 42

Impact in

Papers in

Jun Wang

317 papers receiving 7.4k citations

Jun Wang's Hit Papers

Automatic defect detection and segmentation of tunnel surface using modified Mask R-CNN 2021 · 184 citations
1840+4+9Years since publication2505007501000

Peers

Jun Wang
Comparison fields: 5 of 181
  • Computer Graphics and Computer-Aided Design 764
  • Computer Vision and Pattern Recognition 4.2k
  • Geology 931
  • Computational Mechanics 1.6k
  • Industrial and Manufacturing Engineering 736
Replace Sanja Fidler with:
Sanja Fidler Canada
Ligang Liu China
Wenping Wang China
Jiwen Lu China
Zhirong Wu China
Long Chen China
Sanjay E. Sarma United States
Christoph Stiller Germany
Xiang Bai China
Hui Huang China
Jun Wang relative to Sanja Fidler Canada Sanja Fidler's profile →
Citations per field
00.5×1.5×1.8×
Sanja Fidler · 1×
Citations per year

Countries citing papers authored by Jun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 343 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Supervised hashing with kernels
Hit paper breakdown →
20121029
2
Semi-Supervised Hashing for Large-Scale Search
Hit paper breakdown →
2012598
3
Automatic defect detection and segmentation of tunnel surface using modified Mask R-CNN
Hit paper breakdown →
2021184
4 2020178
5 2015163
6 2020158
7 2019142
8 2020137
9 2018112
10 2014107
11 2022101
12 200892
13 201884
14 201283
15 202081
16 201480
17 201775
18 202174
19 201772
20 200571

About Jun Wang

Jun Wang is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Aerospace Engineering, Computer Graphics and Computer-Aided Design and Geology, having authored 343 papers that have together received 7.6k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (70 papers), Robotics and Sensor-Based Localization (52 papers), Computer Graphics and Visualization Techniques (47 papers), 3D Surveying and Cultural Heritage (46 papers), Advanced Vision and Imaging (32 papers), Advanced Neural Network Applications (31 papers), Advanced Numerical Analysis Techniques (31 papers) and Optical measurement and interference techniques (25 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (764 citations), Computer Vision and Pattern Recognition (4.2k citations), Geology (931 citations), Computational Mechanics (1.6k citations) and Industrial and Manufacturing Engineering (736 citations). Jun Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shih‐Fu Chang, Yu–Gang Jiang, Wei Liu, Rongrong Ji, Sanjiv Kumar, Qian Xie, Mingqiang Wei, Qiaoyun Wu, Zhenghao Yu and Kai Xu. Their work appears in journals such as Computer-Aided Design, IEEE Transactions on Instrumentation and Measurement, Computer Graphics Forum, IEEE Robotics and Automation Letters and IEEE Transactions on Visualization and Computer Graphics.

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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