Xiu Su

580 citations
21 papers · 293 · h-index 6

Impact in

Papers in

Xiu Su

15 papers receiving 281 citations

Peers

Xiu Su
Comparison fields: 5 of 47
  • Civil and Structural Engineering 183
  • Computer Vision and Pattern Recognition 65
  • Geology 12
  • Industrial and Manufacturing Engineering 19
  • Artificial Intelligence 53
Replace Emir Buza with:
Emir Buza Bosnia and Herzegovina
Yao Jin China
Wenkang Du China
Xuchao Ye China
Seungbo Shim South Korea
Onur Pekcan Türkiye
Yves Reuland Switzerland
Yaolei Qi China
Xiu Su relative to Emir Buza Bosnia and Herzegovina Emir Buza's profile →
Citations per field
00.5×1.5×2.3×
Emir Buza · 1×
Citations per year

Countries citing papers authored by Xiu Su

Since Specialization
Citations

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

Fields of papers citing papers by Xiu Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019188
2 202124
3 202319
4 202113
5 201913
6 20139
7 20235
8 20224
9 20234
10 20253
11 20203
12 20183
13 20242
14 20182
15 20251
16 20250
17 20240
18 20220
19 20240
20 20130

About Xiu Su

Xiu Su is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Civil and Structural Engineering and Information Systems, having authored 21 papers that have together received 293 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (4 papers), Domain Adaptation and Few-Shot Learning (4 papers), Anomaly Detection Techniques and Applications (3 papers), Image Processing Techniques and Applications (2 papers), Multimodal Machine Learning Applications (2 papers), Infrastructure Maintenance and Monitoring (2 papers), Adversarial Robustness in Machine Learning (2 papers) and Concrete Corrosion and Durability (2 papers). The work is most often cited by research in Civil and Structural Engineering (183 citations), Computer Vision and Pattern Recognition (65 citations), Geology (12 citations), Industrial and Manufacturing Engineering (19 citations) and Artificial Intelligence (53 citations). Xiu Su has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Yi Wang, Huaiyu Cai, Hongyan Xu, Xiaohong Chen, Chang Xu, Shan You, Changshui Zhang, Chen Qian, Fei Wang and Xiaobo Lu. Their work appears in journals such as Applied Sciences, IEEE Transactions on Information Forensics and Security, IEEE Transactions on Pattern Analysis and Machine Intelligence, Applied Mechanics and Materials and JOURNAL OF INFRARED AND MILLIMETER WAVES.

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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