Xiaodan Lin

51 total papers · 548 total citations
34 papers, 392 citations indexed

About

Xiaodan Lin is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Surgery. According to data from OpenAlex, Xiaodan Lin has authored 34 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 10 papers in Signal Processing and 4 papers in Surgery. Recurrent topics in Xiaodan Lin's work include Digital Media Forensic Detection (17 papers), Advanced Steganography and Watermarking Techniques (11 papers) and Music and Audio Processing (9 papers). Xiaodan Lin is often cited by papers focused on Digital Media Forensic Detection (17 papers), Advanced Steganography and Watermarking Techniques (11 papers) and Music and Audio Processing (9 papers). Xiaodan Lin collaborates with scholars based in China. Xiaodan Lin's co-authors include Xiangui Kang, Fenyun Yi, Shuixia Chen, Xiaoqun Wei, Hui Zeng, Zhenxing Qian, Jingxian Liu, Huanqiang Zeng, Xinpeng Zhang and Donghua Chen and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and Cancer Letters.

In The Last Decade

Xiaodan Lin

26 papers receiving 381 citations

Author Peers

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

Author Last Decade Papers Cites
Xiaodan Lin 232 115 53 49 44 34 392
Jianian Li 111 0.5× 65 0.6× 25 0.5× 53 1.1× 14 0.3× 36 419
Yu Hwan Kim 115 0.5× 44 0.4× 31 0.6× 8 0.2× 22 0.5× 22 441
Guodong Zhao 68 0.3× 27 0.2× 47 0.9× 152 3.1× 111 2.5× 34 415
Zheng Wang 58 0.3× 107 0.9× 115 2.2× 39 0.8× 49 1.1× 32 412
Bin Jiang 236 1.0× 184 1.6× 14 0.3× 16 0.3× 63 1.4× 44 396
Yanmeng Li 194 0.8× 18 0.2× 90 1.7× 67 1.4× 24 0.5× 24 399
Yifei Zhang 120 0.5× 20 0.2× 231 4.4× 41 0.8× 35 0.8× 31 408
Yuqian Li 108 0.5× 23 0.2× 25 0.5× 84 1.7× 52 1.2× 27 362
Dario García-Gasulla 69 0.3× 17 0.1× 86 1.6× 60 1.2× 13 0.3× 40 377
N. C. Shivaprakash 36 0.2× 24 0.2× 52 1.0× 74 1.5× 65 1.5× 38 342

Countries citing papers authored by Xiaodan Lin

Since Specialization
Citations

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

Fields of papers citing papers by Xiaodan Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaodan Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaodan Lin. A scholar is included among the top collaborators of Xiaodan Lin 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 Xiaodan Lin. Xiaodan Lin 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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