Changli Yu

500 citations
37 papers · 351 · h-index 12

Impact in

Papers in

Changli Yu

32 papers receiving 347 citations

Peers

Changli Yu
Comparison fields: 5 of 57
  • Metals and Alloys 22
  • Ocean Engineering 93
  • Mechanical Engineering 139
  • Civil and Structural Engineering 80
  • Computational Mechanics 67
Replace Long Bai with:
Long Bai China
Xin’an Yuan China
Peiwen Que China
Pan Jiang China
Hashem Nowruzi Iran
To Kang South Korea
Steven R. Doctor United States
G. Wang China
Tetsuo Okada Japan
Hyung−Jun Kim South Korea
Changli Yu relative to Long Bai China Long Bai's profile →
Citations per field
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Citations per year

Countries citing papers authored by Changli Yu

Since Specialization
Citations

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

Fields of papers citing papers by Changli Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Changli Yu, 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 Changli Yu Line = papers co-authored together Changli Yu 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 202244
2 201939
3 202038
4 201829
5 201722
6 202221
7 202220
8 202220
9 201218
10 201916
11 202115
12 202311
13 20158
14 20217
15 20226
16 20235
17 20233
18 20213
19 20223
20 20173

About Changli Yu

Changli Yu is a scholar working on Mechanical Engineering, Computer Vision and Pattern Recognition, Ocean Engineering, Civil and Structural Engineering and Aerospace Engineering, having authored 37 papers that have together received 351 indexed citations. Recurring topics across this work include Structural Integrity and Reliability Analysis (10 papers), Underwater Vehicles and Communication Systems (6 papers), Robotics and Sensor-Based Localization (5 papers), Image Enhancement Techniques (4 papers), Structural Load-Bearing Analysis (4 papers), Underwater Acoustics Research (4 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Advanced Image Fusion Techniques (3 papers). The work is most often cited by research in Metals and Alloys (22 citations), Ocean Engineering (93 citations), Mechanical Engineering (139 citations), Civil and Structural Engineering (80 citations) and Computational Mechanics (67 citations). Changli Yu has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Xingming Zhang, Xin Yuan, Pingsha Dong, Yueming Li, Renzhi Wang, Jiang Xu, Hongda Shi, Liang Feng, Shuqing Wang and Chao Chen. Their work appears in journals such as International Journal of Naval Architecture and Ocean Engineering, Ocean Engineering, The Computer Journal, Applied Ocean Research and Applied Sciences.

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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