Yan Ju

27 total papers · 429 total citations
8 papers, 279 citations indexed

About

Yan Ju is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Yan Ju has authored 8 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Sociology and Political Science. Recurrent topics in Yan Ju's work include Digital Media Forensic Detection (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Hate Speech and Cyberbullying Detection (1 paper). Yan Ju is often cited by papers focused on Digital Media Forensic Detection (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Hate Speech and Cyberbullying Detection (1 paper). Yan Ju collaborates with scholars based in United States and China. Yan Ju's co-authors include Hongfei Xue, Lü Su, Aidong Zhang, Guoping Gao, Xianwen Bao, Chenglin Miao, Shiyang Wang, Yijiang Wang, Siwei Lyu and Lipeng Ke and has published in prestigious journals such as Oceanologica Acta, JAPAN TAPPI JOURNAL and 2022 IEEE International Conference on Image Processing (ICIP).

In The Last Decade

Yan Ju

8 papers receiving 277 citations

Author Peers

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

Author						Papers	Cites
Yan Ju	104	57	53	41	40	8	279
Xiwei Ren	125 1.2×	27 0.5×	34 0.6×	9 0.2×	29 0.7×	6	301
Zhen Wen	132 1.3×	5 0.1×	10 0.2×	35 0.9×	39 1.0×	13	307
Zenghui Li	66 0.6×	51 0.9×	29 0.5×	11 0.3×	70 1.8×	13	194
Ricardo Sánchez-Matilla	71 0.7×	23 0.4×	26 0.5×	19 0.5×	22 0.6×	14	208
Cunyu Wu	220 2.1×	15 0.3×	24 0.5×	8 0.2×	95 2.4×	13	306
Zhendong Zhang	126 1.2×	28 0.5×	23 0.4×	4 0.1×	14 0.3×	11	289
Anton J. Haug	29 0.3×	11 0.2×	41 0.8×	45 1.1×	93 2.3×	14	273
Zhipeng Yu	146 1.4×	52 0.9×	7 0.1×	44 1.1×	4 0.1×	15	320
Steven Zoraster	53 0.5×	8 0.1×	22 0.4×	19 0.5×	75 1.9×	16	320
Matthias Kronauge	23 0.2×	98 1.7×	69 1.3×	23 0.6×	231 5.8×	6	291

Countries citing papers authored by Yan Ju

Since Specialization

Citations

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

Fields of papers citing papers by Yan Ju

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Ju

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