Ling Xiao

987 total citations
35 papers, 640 citations indexed

About

Ling Xiao is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Artificial Intelligence. According to data from OpenAlex, Ling Xiao has authored 35 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 9 papers in Industrial and Manufacturing Engineering and 8 papers in Artificial Intelligence. Recurrent topics in Ling Xiao's work include Industrial Vision Systems and Defect Detection (9 papers), Infrastructure Maintenance and Monitoring (4 papers) and Advanced Neural Network Applications (4 papers). Ling Xiao is often cited by papers focused on Industrial Vision Systems and Defect Detection (9 papers), Infrastructure Maintenance and Monitoring (4 papers) and Advanced Neural Network Applications (4 papers). Ling Xiao collaborates with scholars based in China, Japan and Hong Kong. Ling Xiao's co-authors include Bo Wu, Gui-Rong Xue, Yong Yu, Qiang Yang, Youmin Hu, Wenyuan Dai, Yuanshen Zhao, Chengliang Liu, Liang Gong and Mingyuan Lu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and Neurocomputing.

In The Last Decade

Ling Xiao

30 papers receiving 617 citations

Peers

Ling Xiao
Hao Dong China
Jinan Gu China
Norman Haas United States
Paulo Costa Portugal
Lida Li China
Tsai Hong Hong United States
Hao Dong China
Ling Xiao
Citations per year, relative to Ling Xiao Ling Xiao (= 1×) peers Hao Dong

Countries citing papers authored by Ling Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Ling Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Xiao. A scholar is included among the top collaborators of Ling Xiao 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 Ling Xiao. Ling Xiao 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
1.
Xiao, Ling & Toshihiko Yamasaki. (2025). Multi-level knowledge distillation for fine-grained fashion image retrieval. Knowledge-Based Systems. 310. 112955–112955.
3.
Li, Chunyi, Ling Xiao, Zicheng Zhang, et al.. (2025). Image Quality Assessment: From Human to Machine Preference. 7570–7581. 1 indexed citations
4.
Tian, Yuan, et al.. (2025). SMC++: Masked Learning of Unsupervised Video Semantic Compression. IEEE Transactions on Pattern Analysis and Machine Intelligence. 48(2). 1992–2011.
5.
Zhong, Hao, Ling Xiao, Fang Zhao, et al.. (2024). STFE-Net: A multi-stage approach to enhance statistical texture feature for defect detection on metal surfaces. Advanced Engineering Informatics. 61. 102437–102437. 27 indexed citations
6.
Zhong, Hao, Ling Xiao, Haifeng Wang, et al.. (2024). LiFSO-Net: A lightweight feature screening optimization network for complex-scale flat metal defect detection. Knowledge-Based Systems. 304. 112520–112520. 9 indexed citations
7.
Xiao, Ling, et al.. (2024). HetSpot: Analyzing Tourist Spot Popularity with Heterogeneous Graph Neural Network. 111–120. 1 indexed citations
10.
11.
Xiao, Ling, Bo Wu, & Youmin Hu. (2020). OSED: Object-specific edge detection. Journal of Visual Communication and Image Representation. 72. 102918–102918. 4 indexed citations
12.
Xiao, Ling, Bo Wu, & Youmin Hu. (2020). Surface Defect Detection Using Image Pyramid. IEEE Sensors Journal. 20(13). 7181–7188. 67 indexed citations
13.
Xiao, Ling, Mingyuan Lu, & Han Huang. (2020). Detection of powder bed defects in selective laser sintering using convolutional neural network. The International Journal of Advanced Manufacturing Technology. 107(5-6). 2485–2496. 38 indexed citations
14.
Xiao, Ling, Tao Huang, Bo Wu, Youmin Hu, & Jiehan Zhou. (2019). Surface Defect Detection using Hierarchical Features. University of Oulu Repository (University of Oulu). 1592–1596. 7 indexed citations
15.
Xiao, Ling, Shadi Ibrahim, Song Wu, & Hai Jin. (2014). Spatial Locality Aware Disk Scheduling in Virtualized Environment. IEEE Transactions on Parallel and Distributed Systems. 26(9). 2571–2585. 5 indexed citations
16.
Xiao, Ling, et al.. (2011). Seepage Analysis and Construction Practice of Anchorage Circular Foundation Excavation in Long-Span Suspension Bridge. Applied Mechanics and Materials. 90-93. 128–132. 2 indexed citations
17.
Li, Zhitang, et al.. (2009). A New Approach for Accelerating IPSec Communication. 482–485. 7 indexed citations
18.
Xiao, Ling, et al.. (2008). Can Chinese web pages be classified with english data. 969. 1 indexed citations
19.
Ni, Xiaochuan, Gui-Rong Xue, Ling Xiao, Yong Yu, & Qiang Yang. (2007). Exploring in the weblog space by detecting informative and affective articles. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 281–290. 48 indexed citations
20.
Yang, Jie, et al.. (2001). Cephalometric image analysis and measurement for orthognathic surgery. Medical & Biological Engineering & Computing. 39(3). 279–284. 26 indexed citations

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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