Yanli Ji

74 total papers · 2.0k total citations
58 papers, 1.4k citations indexed

About

Yanli Ji is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Yanli Ji has authored 58 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Computer Vision and Pattern Recognition, 26 papers in Artificial Intelligence and 13 papers in Human-Computer Interaction. Recurrent topics in Yanli Ji's work include Human Pose and Action Recognition (31 papers), Multimodal Machine Learning Applications (22 papers) and Anomaly Detection Techniques and Applications (14 papers). Yanli Ji is often cited by papers focused on Human Pose and Action Recognition (31 papers), Multimodal Machine Learning Applications (22 papers) and Anomaly Detection Techniques and Applications (14 papers). Yanli Ji collaborates with scholars based in China, Japan and United States. Yanli Ji's co-authors include Heng Tao Shen, Yang Yang, Xing Xu, Fumin Shen, Hong Cheng, Huimin Lu, Lianli Gao, Guo Ye, Li He and Yi Bin and has published in prestigious journals such as IEEE Transactions on Image Processing, Pattern Recognition and Neurocomputing.

In The Last Decade

Yanli Ji

57 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Yanli Ji 1.1k 571 223 198 87 58 1.4k
Mohammad Sabokrou 666 0.6× 761 1.3× 236 1.1× 92 0.5× 52 0.6× 36 1.3k
Hongcheng Wang 1.5k 1.3× 647 1.1× 336 1.5× 203 1.0× 40 0.5× 29 1.7k
Danilo Avola 609 0.5× 270 0.5× 116 0.5× 153 0.8× 35 0.4× 72 1.1k
Dimitrios Kosmopoulos 577 0.5× 383 0.7× 131 0.6× 110 0.6× 32 0.4× 81 1.2k
Minh Hoai 1.2k 1.1× 491 0.9× 92 0.4× 153 0.8× 32 0.4× 60 1.5k
Ig-Jae Kim 774 0.7× 276 0.5× 164 0.7× 137 0.7× 106 1.2× 82 1.5k
Songyang Zhang 1.3k 1.2× 735 1.3× 202 0.9× 126 0.6× 14 0.2× 41 1.6k
Carl Vondrick 1.2k 1.1× 539 0.9× 70 0.3× 135 0.7× 38 0.4× 24 1.6k
Muhammad Haroon Yousaf 628 0.6× 425 0.7× 123 0.6× 83 0.4× 36 0.4× 84 1.2k
Jinshi Cui 834 0.7× 349 0.6× 84 0.4× 78 0.4× 28 0.3× 64 1.2k

Countries citing papers authored by Yanli Ji

Since Specialization
Citations

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

Fields of papers citing papers by Yanli Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanli Ji

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