Xiaoling Huang

106 total papers · 2.5k total citations
72 papers, 2.0k citations indexed

About

Xiaoling Huang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Xiaoling Huang has authored 72 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 9 papers in Computational Theory and Mathematics. Recurrent topics in Xiaoling Huang's work include Chaos-based Image/Signal Encryption (40 papers), Advanced Steganography and Watermarking Techniques (33 papers) and Digital Media Forensic Detection (6 papers). Xiaoling Huang is often cited by papers focused on Chaos-based Image/Signal Encryption (40 papers), Advanced Steganography and Watermarking Techniques (33 papers) and Digital Media Forensic Detection (6 papers). Xiaoling Huang collaborates with scholars based in China, Hong Kong and Malaysia. Xiaoling Huang's co-authors include Guodong Ye, Chen Pan, Youxia Dong, Kaixin Jiao, Yang Shi, Qixiang Mei, Zhenyu Zhao, Bok‐Min Goi, Wun‐She Yap and Zhangying Ye and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Xiaoling Huang

64 papers receiving 2.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Xiaoling Huang	1.7k	481	399	279	228	72	2.0k
Guodong Ye	2.6k 1.5×	720 1.5×	601 1.5×	404 1.4×	345 1.5×	81	2.9k
Xiuli Chai	2.0k 1.2×	505 1.0×	524 1.3×	275 1.0×	272 1.2×	28	2.2k
Xiuli Chai	2.5k 1.4×	569 1.2×	568 1.4×	290 1.0×	296 1.3×	78	2.7k
Hejiao Huang	1.5k 0.9×	485 1.0×	477 1.2×	295 1.1×	383 1.7×	51	2.0k
A. Akhshani	1.4k 0.8×	483 1.0×	388 1.0×	289 1.0×	382 1.7×	45	1.6k
Xiaojun Tong	2.0k 1.2×	838 1.7×	428 1.1×	351 1.3×	528 2.3×	132	2.7k
Xingyuan Wang	2.5k 1.4×	653 1.4×	567 1.4×	451 1.6×	639 2.8×	80	3.1k
Abdurahman Kadir	2.2k 1.3×	768 1.6×	637 1.6×	332 1.2×	432 1.9×	32	2.4k
Amir Akhavan	1.4k 0.8×	519 1.1×	396 1.0×	286 1.0×	356 1.6×	32	1.6k
Lin Teng	1.8k 1.1×	485 1.0×	709 1.8×	370 1.3×	469 2.1×	90	2.7k

Countries citing papers authored by Xiaoling Huang

Since Specialization

Citations

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

Fields of papers citing papers by Xiaoling Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoling Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoling Huang. A scholar is included among the top collaborators of Xiaoling Huang 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 Xiaoling Huang. Xiaoling Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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