Rijun Liao

1.1k total citations · 1 hit paper
12 papers, 597 citations indexed

About

Rijun Liao is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Human-Computer Interaction. According to data from OpenAlex, Rijun Liao has authored 12 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 8 papers in Biomedical Engineering and 6 papers in Human-Computer Interaction. Recurrent topics in Rijun Liao's work include Gait Recognition and Analysis (8 papers), Human Pose and Action Recognition (7 papers) and Hand Gesture Recognition Systems (6 papers). Rijun Liao is often cited by papers focused on Gait Recognition and Analysis (8 papers), Human Pose and Action Recognition (7 papers) and Hand Gesture Recognition Systems (6 papers). Rijun Liao collaborates with scholars based in United States, China and Japan. Rijun Liao's co-authors include Weizhi An, Shiqi Yu, Yongzhen Huang, Zhu Li, Yasushi Yagi, Xinhui Wu, Shuvra S. Bhattacharyya, Chi Xu, Yasushi Makihara and George York and has published in prestigious journals such as IEEE Access, Pattern Recognition and Neurocomputing.

In The Last Decade

Rijun Liao

12 papers receiving 579 citations

Hit Papers

A model-based gait recognition method with body pose and ... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rijun Liao United States 6 544 506 219 122 65 12 597
Chi Xu China 13 605 1.1× 593 1.2× 191 0.9× 124 1.0× 83 1.3× 37 714
Francisco M. Castro Spain 12 333 0.6× 306 0.6× 111 0.5× 43 0.4× 74 1.1× 29 414
Khalid Bashir United Kingdom 9 647 1.2× 670 1.3× 251 1.1× 53 0.4× 116 1.8× 11 748
Daoliang Tan China 4 789 1.5× 738 1.5× 252 1.2× 119 1.0× 122 1.9× 4 840
Isidro Robledo Vega United States 3 754 1.4× 730 1.4× 257 1.2× 49 0.4× 155 2.4× 5 852
Haruyuki Iwama Japan 8 447 0.8× 422 0.8× 108 0.5× 56 0.5× 76 1.2× 10 485
Toby H. W. Lam Hong Kong 4 276 0.5× 267 0.5× 95 0.4× 23 0.2× 61 0.9× 6 302
Chuankun Li China 9 217 0.4× 397 0.8× 148 0.7× 13 0.1× 192 3.0× 35 469
Nikolaos V. Boulgouris United Kingdom 9 255 0.5× 331 0.7× 100 0.5× 14 0.1× 63 1.0× 17 428

Countries citing papers authored by Rijun Liao

Since Specialization
Citations

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

Fields of papers citing papers by Rijun Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rijun Liao

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

All Works

12 of 12 papers shown
1.
Liao, Rijun, Zhu Li, Shuvra S. Bhattacharyya, & George York. (2024). DensePoseGait: Dense Human Pose Part-Guided for Gait Recognition. IEEE Transactions on Biometrics Behavior and Identity Science. 7(1). 33–46. 1 indexed citations
2.
Liao, Rijun, et al.. (2024). DTM-Bearing: A Novel Framework for Speed-Invariant Bearing Fault Diagnosis Based on Diffusion Transformation Model (DTM). IEEE Access. 12. 8875–8888. 4 indexed citations
3.
Liao, Rijun, Zhu Li, Shuvra S. Bhattacharyya, & George York. (2024). View DiffGait: View Pyramid Diffusion for Gait Recognition. 1–9. 2 indexed citations
4.
Liao, Rijun, et al.. (2023). Fast and Robust Video Deduplication. 160–160. 1 indexed citations
5.
Liao, Rijun, et al.. (2023). Lightweight Fisher Vector Transfer Learning for Video Deduplication. 1–5. 1 indexed citations
6.
Liao, Rijun, Zhu Li, Shuvra S. Bhattacharyya, & George York. (2022). PoseMapGait: A model-based gait recognition method with pose estimation maps and graph convolutional networks. Neurocomputing. 501. 514–528. 38 indexed citations
7.
Liao, Rijun, Zhu Li, Shuvra S. Bhattacharyya, & George York. (2021). Aerial Image Classification with Label Splitting and Optimized Triplet Loss Learning. 56. 1–5. 2 indexed citations
8.
Liao, Rijun, Weizhi An, Zhu Li, & Shuvra S. Bhattacharyya. (2021). A novel view synthesis approach based on view space covering for gait recognition. Neurocomputing. 453. 13–25. 16 indexed citations
9.
An, Weizhi, Shiqi Yu, Yasushi Makihara, et al.. (2020). Performance Evaluation of Model-Based Gait on Multi-View Very Large Population Database With Pose Sequences. IEEE Transactions on Biometrics Behavior and Identity Science. 2(4). 421–430. 119 indexed citations
10.
Liao, Rijun, Weizhi An, Shiqi Yu, Zhu Li, & Yongzhen Huang. (2020). Dense-View GEIs Set: View Space Covering for Gait Recognition based on Dense-View GAN. 1–9. 12 indexed citations
11.
Liao, Rijun, Shiqi Yu, Weizhi An, & Yongzhen Huang. (2019). A model-based gait recognition method with body pose and human prior knowledge. Pattern Recognition. 98. 107069–107069. 330 indexed citations breakdown →
12.
Yu, Shiqi, Rijun Liao, Weizhi An, et al.. (2018). GaitGANv2: Invariant gait feature extraction using generative adversarial networks. Pattern Recognition. 87. 179–189. 71 indexed citations

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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