Junlin Hu

3.1k total citations · 1 hit paper
52 papers, 2.0k citations indexed

About

Junlin Hu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Junlin Hu has authored 52 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computer Vision and Pattern Recognition, 20 papers in Signal Processing and 6 papers in Artificial Intelligence. Recurrent topics in Junlin Hu's work include Face recognition and analysis (29 papers), Face and Expression Recognition (25 papers) and Biometric Identification and Security (17 papers). Junlin Hu is often cited by papers focused on Face recognition and analysis (29 papers), Face and Expression Recognition (25 papers) and Biometric Identification and Security (17 papers). Junlin Hu collaborates with scholars based in China, Singapore and United States. Junlin Hu's co-authors include Jiwen Lu, Yap‐Peng Tan, Jie Zhou, Xiuzhuang Zhou, Yuanyuan Shang, Haibin Yan, Yong Guan, Junsong Yuan, Tzu-Yi Hung and Jiaxin Cai and has published in prestigious journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Junlin Hu

49 papers receiving 1.9k citations

Hit Papers

Discriminative Deep Metric Learning for Face Verification... 2014 2026 2018 2022 2014 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Discriminative Deep Metric Learning for Face Verification in the Wild
    2014 478 citations Junlin Hu, Jiwen Lu et al. DR-NTU (Nanyang Technological University) profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junlin Hu China 19 1.6k 448 445 151 116 52 2.0k
Xiang Wu China 18 1.8k 1.1× 735 1.6× 319 0.7× 93 0.6× 65 0.6× 31 2.0k
Dihong Gong China 14 2.2k 1.4× 1.1k 2.4× 630 1.4× 88 0.6× 74 0.6× 30 2.7k
Vitomir Štruc Slovenia 24 1.5k 0.9× 1.0k 2.3× 328 0.7× 91 0.6× 108 0.9× 116 2.1k
Changxing Ding China 24 2.3k 1.4× 529 1.2× 514 1.2× 166 1.1× 123 1.1× 52 2.6k
Yandong Wen China 12 2.1k 1.3× 949 2.1× 720 1.6× 92 0.6× 83 0.7× 32 2.6k
Abdelmalik Taleb‐Ahmed France 18 776 0.5× 322 0.7× 360 0.8× 95 0.6× 97 0.8× 114 1.4k
Hanqing Lu China 21 2.2k 1.3× 411 0.9× 586 1.3× 219 1.5× 282 2.4× 132 2.6k
Jingchao Zhou China 8 1.4k 0.8× 622 1.4× 519 1.2× 69 0.5× 59 0.5× 26 1.8k

Countries citing papers authored by Junlin Hu

Since Specialization
Citations

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

Fields of papers citing papers by Junlin Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junlin Hu

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

All Works

20 of 20 papers shown
1.
Hu, Junlin, et al.. (2025). Multi-Scale High-Frequency Vision Transformer for Face Forgery Detection. IEEE Transactions on Biometrics Behavior and Identity Science. 7(4). 740–750.
2.
Li, Xingye, Xinyue Wang, Changjiao Sun, et al.. (2025). A unimolecule nanopesticide delivery system applied in field scale for enhanced pest control. Nature Communications. 16(1). 6809–6809. 3 indexed citations
3.
Xu, Yunhao, et al.. (2024). Mining Contrastive Loss for Kinship Verification. 911–912.
4.
Lv, Weifeng, et al.. (2024). Dual-Stream Anomaly Detection Network for Real-World Traffic Scenarios. IEEE Transactions on Intelligent Transportation Systems. 25(12). 20779–20792. 2 indexed citations
5.
Zhao, Tianli, et al.. (2024). Fusing image and physical data for fatigue life prediction of nickel-based single crystal superalloys. Engineering Failure Analysis. 162. 108343–108343. 1 indexed citations
6.
Li, Huimin, et al.. (2024). Hyperbolic Anomaly Detection. 17511–17520. 6 indexed citations
7.
Hu, Junlin, et al.. (2024). Deep metric learning in projected-hypersphere space. Pattern Recognition. 161. 111245–111245.
8.
Hu, Junlin, et al.. (2024). Feature Consistency Learning for Anomaly Detection. IEEE Transactions on Instrumentation and Measurement. 74. 1–9. 2 indexed citations
9.
Tang, Yu, Zhen Xu, Junlin Hu, et al.. (2023). Altered gray matter volume and functional connectivity in lung cancer patients with bone metastasis pain. Journal of Neuroscience Research. 102(1). 1 indexed citations
10.
Huang, Sheng, et al.. (2022). Adaptively Weighted k-Tuple Metric Network for Kinship Verification. IEEE Transactions on Cybernetics. 53(10). 6173–6186. 13 indexed citations
11.
Guo, Zhengwei, et al.. (2021). Ring-Regularized Cosine Similarity Learning for Fine-Grained Face Verification. Pattern Recognition Letters. 148. 68–74. 16 indexed citations
12.
Lu, Jiwen, Junlin Hu, & Yap‐Peng Tan. (2017). Discriminative Deep Metric Learning for Face and Kinship Verification. IEEE Transactions on Image Processing. 26(9). 4269–4282. 210 indexed citations
13.
Hu, Junlin. (2016). Discriminative transfer learning with sparsity regularization for single-sample face recognition. Image and Vision Computing. 60. 48–57. 22 indexed citations
14.
Hu, Junlin, Jiwen Lu, & Yap‐Peng Tan. (2015). Deep Metric Learning for Visual Tracking. IEEE Transactions on Circuits and Systems for Video Technology. 26(11). 2056–2068. 54 indexed citations
15.
Hu, Junlin, Jiwen Lu, & Yap‐Peng Tan. (2015). Fine-grained face verification: Dataset and baseline results. 79–84. 9 indexed citations
16.
Lu, Jiwen, Junlin Hu, Xiuzhuang Zhou, et al.. (2014). Kinship verification in the wild: The first kinship verification competition. Acceda (Universidad de Las Palmas de Gran Canaria). 17. 1–6. 24 indexed citations
17.
Hung, Tzu-Yi, Jiwen Lu, Junlin Hu, Yap‐Peng Tan, & Yongxin Ge. (2013). Activity-based human identification. 2362–2366. 3 indexed citations
18.
Lu, Jiwen, Junlin Hu, Xiuzhuang Zhou, et al.. (2012). Neighborhood repulsed metric learning for kinship verification. DR-NTU (Nanyang Technological University). 2594–2601. 49 indexed citations
19.
Zhou, Xiuzhuang, Jiwen Lu, Junlin Hu, & Yuanyuan Shang. (2012). Gabor-based gradient orientation pyramid for kinship verification under uncontrolled environments. 725–728. 80 indexed citations
20.
Hu, Junlin, Yan-Xue Xue, Yongwei Zhao, & Jiwen Lu. (2008). Palmprint recognition based on multiple feature information fusion. 1449–1452. 5 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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