Ju Huyan

1.8k citations
37 papers · 1.2k · 2 hit papers · h-index 17

Impact in

Papers in

Ju Huyan

36 papers receiving 1.2k citations

Ju Huyan's Hit Papers

CrackW-Net: A Novel Pavement Crack Image Segmentation Convolutional Neural Network 2021 · 149 citations
1490+2+4Years since publication50100150200250

Peers

Ju Huyan
Comparison fields: 5 of 68
  • Civil and Structural Engineering 1.1k
  • Industrial and Manufacturing Engineering 116
  • Ocean Engineering 138
  • Geology 49
  • Mechanical Engineering 266
Replace Hamzeh Zakeri with:
Hamzeh Zakeri Iran
Enhui Yang China
Sylvie Chambon France
Hiroshi Omata Japan
Quoc-Lam Nguyen Vietnam
Hristina Georgieva Bulgaria
Sumathi Poobal India
Jiaxiu Dong China
Pang‐jo Chun Japan
Varun Kasireddy United States
Ju Huyan relative to Hamzeh Zakeri Iran Hamzeh Zakeri's profile →
Citations per field
00.5×2.7×
Hamzeh Zakeri · 1×
Citations per year

Countries citing papers authored by Ju Huyan

Since Specialization
Citations

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

Fields of papers citing papers by Ju Huyan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1
CrackU‐net: A novel deep convolutional neural network for pixelwise pavement crack detection
Hit paper breakdown →
2020258
2
CrackW-Net: A Novel Pavement Crack Image Segmentation Convolutional Neural Network
Hit paper breakdown →
2021149
3 2019114
4 202273
5 202369
6 202060
7 202340
8 201938
9 202137
10 202237
11 202337
12 201728
13 201820
14 202120
15 201920
16 202319
17 202118
18 202416
19 202015
20 202015

About Ju Huyan

Ju Huyan is a scholar working on Civil and Structural Engineering, Mechanical Engineering, Computer Vision and Pattern Recognition, Ocean Engineering and Geology, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Infrastructure Maintenance and Monitoring (30 papers), Asphalt Pavement Performance Evaluation (27 papers), Concrete Corrosion and Durability (13 papers), Non-Destructive Testing Techniques (5 papers), Industrial Vision Systems and Defect Detection (3 papers), Structural Health Monitoring Techniques (3 papers), Geophysical Methods and Applications (3 papers) and 3D Surveying and Cultural Heritage (3 papers). The work is most often cited by research in Civil and Structural Engineering (1.1k citations), Industrial and Manufacturing Engineering (116 citations), Ocean Engineering (138 citations), Geology (49 citations) and Mechanical Engineering (266 citations). Ju Huyan has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Susan Tighe, Wei Li, Zhengchao Xu, Tao Ma, Weiguang Zhang, Chengjia Han, Xiaoming Huang, Yanning Zhang, Jingtao Zhong and Zhaoyun Sun. Their work appears in journals such as Engineering Applications of Artificial Intelligence, Construction and Building Materials, International Journal of Pavement Engineering, Canadian Journal of Civil Engineering and Computer-Aided Civil and Infrastructure Engineering.

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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