Haiting Xia

50 papers receiving 671 citations

Peers

Haiting Xia
Comparison fields: 5 of 65
  • Nuclear Energy and Engineering 35
  • Media Technology 118
  • Civil and Structural Engineering 291
  • Computer Vision and Pattern Recognition 203
  • Pollution 99
Replace David Mollenhauer with:
David Mollenhauer United States
Michele Scafidi Italy
Yali Dong China
H.Y. Yeh United States
Yongming Xing China
R. J. Sanford United States
Claudiu Bădulescu France
Johnathan Goodsell United States
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Haiting Xia relative to David Mollenhauer United States David Mollenhauer's profile →
Citations per field
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Citations per year

Countries citing papers authored by Haiting Xia

Since Specialization
Citations

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

Fields of papers citing papers by Haiting Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202274
2 201655
3 202151
4 201446
5 202041
6 202138
7 202236
8 202229
9 200728
10 202226
11 202325
12 201122
13 202122
14 201718
15 201816
16 202216
17 202213
18 201813
19 20169
20 20237

About Haiting Xia

Haiting Xia is a scholar working on Nuclear Energy and Engineering, Media Technology, Computer Vision and Pattern Recognition, Civil and Structural Engineering and Atomic and Molecular Physics, and Optics, having authored 53 papers that have together received 694 indexed citations. Recurring topics across this work include Optical measurement and interference techniques (17 papers), Digital Holography and Microscopy (16 papers), Image Processing Techniques and Applications (9 papers), Infrastructure Maintenance and Monitoring (7 papers), Advanced materials and composites (6 papers), Asphalt Pavement Performance Evaluation (5 papers), Aluminum Alloys Composites Properties (5 papers) and Ferroelectric and Piezoelectric Materials (5 papers). The work is most often cited by research in Nuclear Energy and Engineering (35 citations), Media Technology (118 citations), Civil and Structural Engineering (291 citations), Computer Vision and Pattern Recognition (203 citations) and Pollution (99 citations). Haiting Xia has collaborated with scholars based in China, France and United States. Frequent co-authors include Rongxin Guo, Yan Feng, Qianmin Ma, Yang Yang, Pascal Picart, Silvio Montrésor, Peigen Li, Heming Cheng, Junchang Li and Zhiwei Lin. Their work appears in journals such as Applied Sciences, Applied Optics, Measurement, Optics Express and Optics and Lasers in 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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