Yanjun Liu

81 total papers · 902 total citations
52 papers, 682 citations indexed

About

Yanjun Liu is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Artificial Intelligence. According to data from OpenAlex, Yanjun Liu has authored 52 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computer Vision and Pattern Recognition, 9 papers in Information Systems and 8 papers in Artificial Intelligence. Recurrent topics in Yanjun Liu's work include Advanced Steganography and Watermarking Techniques (33 papers), Chaos-based Image/Signal Encryption (28 papers) and Digital Media Forensic Detection (16 papers). Yanjun Liu is often cited by papers focused on Advanced Steganography and Watermarking Techniques (33 papers), Chaos-based Image/Signal Encryption (28 papers) and Digital Media Forensic Detection (16 papers). Yanjun Liu collaborates with scholars based in Taiwan, China and United Kingdom. Yanjun Liu's co-authors include Chin‐Chen Chang, Thai‐Son Nguyen, Ching‐Chun Chang, Ce Zhu, Yung‐Hui Li, Tung-Shou Chen, Wei Ji, Jianguo Li, Lihui Chen and Junying Wu and has published in prestigious journals such as IEEE Access, Advanced Science and IEEE Internet of Things Journal.

In The Last Decade

Yanjun Liu

49 papers receiving 665 citations

Author Peers

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

Author Last Decade Papers Cites
Yanjun Liu 555 62 62 59 53 52 682
Longbin Chen 338 0.6× 149 2.4× 77 1.2× 115 1.9× 39 0.7× 40 682
Shouliang Li 410 0.7× 16 0.3× 121 2.0× 85 1.4× 23 0.4× 48 716
Hossam E. Ahmed 438 0.8× 38 0.6× 194 3.1× 48 0.8× 76 1.4× 45 769
Hui Xu 398 0.7× 13 0.2× 79 1.3× 110 1.9× 12 0.2× 44 606
V. Santhi 169 0.3× 28 0.5× 57 0.9× 188 3.2× 21 0.4× 50 576
Jiawei Wu 433 0.8× 33 0.5× 238 3.8× 53 0.9× 23 0.4× 49 677
Wenjun Lu 435 0.8× 28 0.5× 184 3.0× 39 0.7× 28 0.5× 50 615
Mingfu Xue 157 0.3× 47 0.8× 322 5.2× 181 3.1× 132 2.5× 49 606
Chandra Mouli 269 0.5× 10 0.2× 26 0.4× 281 4.8× 18 0.3× 62 635
Vahid Ghods 225 0.4× 37 0.6× 88 1.4× 188 3.2× 13 0.2× 54 571

Countries citing papers authored by Yanjun Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yanjun Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanjun Liu

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