Hailong Qin

1.8k citations
64 papers · 1.3k indexed · 1 hit paper · h-index 21
Topics
High Temperature Alloys and Creep (16 papers)Robotics and Sensor-Based Localization (14 papers)Advanced ceramic materials synthesis (13 papers)

In The Last Decade

Hailong Qin

60 papers receiving 1.3k citations

Hit Papers

Astragalus polysaccharides alleviate DSS-induced ulcerati...202420262025202410203040

Peers

Hailong Qin
Comparison fields: 5 of 97
  • Aerospace Engineering 632
  • Mechanical Engineering 568
  • Computer Vision and Pattern Recognition 293
  • Materials Chemistry 247
  • Ceramics and Composites 195
Replace Samik Dutta with:
Samik Dutta India
Xiaoguang Chen China
Zhenguo Liu China
Zhao Wang China
Hongxin Zhang China
Xiaoqing Zhou China
Chang Li China
Yongqing Wang China
Shaohua Li China
Alain Vautrin France
Hailong Qin relative to Samik Dutta India Samik Dutta's profile →
Citations per field
00.5×11.5×
Samik Dutta · 1×
Citations per year

Countries citing papers authored by Hailong Qin

Since Specialization
Citations

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

Fields of papers citing papers by Hailong Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hailong Qin

This figure shows the co-authorship network connecting the top 25 collaborators of Hailong Qin. A scholar is included among the top collaborators of Hailong Qin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hailong Qin. Hailong Qin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 4
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Astragalus polysaccharides alleviate DSS-induced ulcerative colitis in mice by restoring SCFA production and regulating Th17/Treg cell homeostasis in a microbiota-dependent mannerbreakdown →
48
5 11
6 13
7 6
8 1
9 8
10 28
11 7
12 22
13 8
14 13
15 3
16 30
17
Real-time Disparity Map Reconstruction with On-board FPGA by Semi-global Matching and Weighted Least Square Filtering
0
18 35
19 24
20 117

About Hailong Qin

Hailong Qin is a scholar working on Ceramics and Composites, Aerospace Engineering and Computer Vision and Pattern Recognition, having authored 64 papers that have together received 1.3k indexed citations. Recurring topics across this work include High Temperature Alloys and Creep (16 papers), Robotics and Sensor-Based Localization (14 papers) and Advanced ceramic materials synthesis (13 papers). The work is most often cited by research in Ceramics and Composites (195 citations), Aerospace Engineering (632 citations) and Mechanical Engineering (568 citations). Hailong Qin has collaborated with scholars based in China, Singapore and United Kingdom. Frequent co-authors include Hua Zhang, Laifei Cheng, Huiqiang Wu, Yongsheng Liu, Zehui Meng, Marcelo H. Ang, Fang Ye, Feng Lin, Zhongnan Bi and Litong Zhang. Their work appears in journals such as Scientific Reports, Carbohydrate Polymers and Journal of the American Ceramic Society.

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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