Xiao Ling

3.1k total citations · 1 hit paper
65 papers, 1.7k citations indexed

About

Xiao Ling is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Xiao Ling has authored 65 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 23 papers in Artificial Intelligence and 11 papers in Computer Networks and Communications. Recurrent topics in Xiao Ling's work include Topic Modeling (8 papers), Advanced Vision and Imaging (7 papers) and Advanced Image Fusion Techniques (6 papers). Xiao Ling is often cited by papers focused on Topic Modeling (8 papers), Advanced Vision and Imaging (7 papers) and Advanced Image Fusion Techniques (6 papers). Xiao Ling collaborates with scholars based in China, United States and Singapore. Xiao Ling's co-authors include Daniel S. Weld, Raphael Hoffmann, Congle Zhang, Luke Zettlemoyer, Daniel S. Weld, Guoqiang Zhong, Lina Wang, Yongjun Zhang, Sameer Singh and Junyu Dong and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Xiao Ling

61 papers receiving 1.6k citations

Hit Papers

Knowledge-Based Weak Supervision for Information Extracti... 2011 2026 2016 2021 2011 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xiao Ling China 20 978 379 203 181 153 65 1.7k
Xiaowei Gu United Kingdom 27 930 1.0× 290 0.8× 101 0.5× 143 0.8× 195 1.3× 94 1.8k
Kaiyong Zhao Hong Kong 15 864 0.9× 421 1.1× 147 0.7× 270 1.5× 66 0.4× 30 1.8k
Yunhai Tong China 22 959 1.0× 709 1.9× 139 0.7× 310 1.7× 110 0.7× 72 1.9k
Thomas Weise China 23 1.0k 1.0× 211 0.6× 260 1.3× 286 1.6× 85 0.6× 105 1.9k
Derek T. Anderson United States 22 861 0.9× 747 2.0× 92 0.5× 89 0.5× 401 2.6× 170 2.0k
Yi Zhou China 15 570 0.6× 355 0.9× 461 2.3× 153 0.8× 116 0.8× 99 1.3k
Martin Sundermeyer Germany 17 1.3k 1.3× 533 1.4× 161 0.8× 109 0.6× 87 0.6× 26 2.3k
Nikunj C. Oza United States 21 1.4k 1.5× 355 0.9× 124 0.6× 296 1.6× 150 1.0× 70 2.2k
Junhai Zhai China 20 943 1.0× 331 0.9× 205 1.0× 89 0.5× 128 0.8× 98 1.4k
Ajit Singh United States 17 949 1.0× 624 1.6× 628 3.1× 491 2.7× 196 1.3× 53 2.3k

Countries citing papers authored by Xiao Ling

Since Specialization
Citations

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

Fields of papers citing papers by Xiao Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiao Ling

This figure shows the co-authorship network connecting the top 25 collaborators of Xiao Ling. A scholar is included among the top collaborators of Xiao Ling 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 Xiao Ling. Xiao Ling 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.
Li, Jun, et al.. (2025). Analysis of Seasonal Dominant Factors Influencing Land Surface Temperature Over the Tibetan Plateau. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 13635–13651. 1 indexed citations
2.
Li, Jun, Xiaobin Wang, Zhaocong Wu, et al.. (2025). CloudRuler: Rule-based transformer for cloud removal in Landsat images. Remote Sensing of Environment. 328. 114913–114913.
3.
Li, Jun, et al.. (2025). Analysis and reduction of topographic effect induced errors in land surface temperature retrieval over the Tibetan Plateau. International Journal of Applied Earth Observation and Geoinformation. 141. 104637–104637.
4.
Ling, Xiao, et al.. (2024). Infrared Dim and Small Target Detection Based on Local–Global Feature Fusion. Applied Sciences. 14(17). 7878–7878. 1 indexed citations
5.
Li, Jun, Xiao Ling, Fan Gao, et al.. (2024). A Unified Cloud Detection Method for Suomi-NPP VIIRS Day and Night PAN Imagery. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–13. 3 indexed citations
6.
7.
Zhong, Guoqiang, et al.. (2023). MF-Net: Multi-frequency intrusion detection network for Internet traffic data. Pattern Recognition. 146. 109999–109999. 20 indexed citations
8.
Li, Qian, et al.. (2021). A depthwise separable dense convolutional network with convolution block attention module for COVID-19 diagnosis on CT scans. Computers in Biology and Medicine. 137. 104837–104837. 18 indexed citations
9.
Orr, Laurel, et al.. (2021). Managing ML pipelines. Proceedings of the VLDB Endowment. 14(12). 3178–3181. 10 indexed citations
10.
Zhong, Guoqiang, Xiao Ling, & Lina Wang. (2018). From shallow feature learning to deep learning: Benefits from the width and depth of deep architectures. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 9(1). 69 indexed citations
11.
Ling, Xiao, et al.. (2018). Combining HWEBING and HOG‐MLBP features for pedestrian detection. The Journal of Engineering. 2018(16). 1421–1426. 2 indexed citations
12.
Ling, Xiao, et al.. (2017). Identifying parking spaces & detecting occupancy using vision-based IoT devices. 1–6. 23 indexed citations
13.
Liu, Angli, Stephen Soderland, Jonathan Bragg, et al.. (2016). Effective Crowd Annotation for Relation Extraction. 37 indexed citations
14.
Zhao, Zheng, et al.. (2015). Platform of online interpretation and attitude measurement for faults using high resolution remote sensing image. Guotu ziyuan yaogan. 28(1). 190–196. 1 indexed citations
15.
Ling, Xiao, Alon Halevy, Fei Wu, & Cong Yu. (2013). Synthesizing union tables from the web. International Joint Conference on Artificial Intelligence. 2677–2683. 18 indexed citations
16.
Xu, Cong, et al.. (2013). Architecture design for management as a service cloud. Integrated Network Management. 860–863. 1 indexed citations
17.
Ling, Xiao, Hai Jin, Shadi Ibrahim, Wenzhi Cao, & Song Wu. (2012). Efficient Disk I/O Scheduling with QoS Guarantee for Xen-based Hosting Platforms. 32. 81–89. 10 indexed citations
18.
Hoffmann, Raphael, Congle Zhang, Xiao Ling, Luke Zettlemoyer, & Daniel S. Weld. (2011). Knowledge-Based Weak Supervision for Information Extraction of Overlapping Relations. Meeting of the Association for Computational Linguistics. 541–550. 542 indexed citations breakdown →
19.
Poon, Hoifung, Janara Christensen, Pedro Domingos, et al.. (2010). Machine Reading at the University of Washington. North American Chapter of the Association for Computational Linguistics. 87–95. 22 indexed citations
20.
Phan, Doantam, Xiao Ling, Ronald Yeh, Pat Hanrahan, & Terry Winograd. (2005). Flow map layout. 219–224. 41 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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