Luojun Lin

885 total citations
27 papers, 490 citations indexed

About

Luojun Lin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Luojun Lin has authored 27 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 7 papers in Experimental and Cognitive Psychology. Recurrent topics in Luojun Lin's work include Domain Adaptation and Few-Shot Learning (11 papers), Face recognition and analysis (8 papers) and Multimodal Machine Learning Applications (8 papers). Luojun Lin is often cited by papers focused on Domain Adaptation and Few-Shot Learning (11 papers), Face recognition and analysis (8 papers) and Multimodal Machine Learning Applications (8 papers). Luojun Lin collaborates with scholars based in China, Pakistan and Singapore. Luojun Lin's co-authors include Lianwen Jin, Lingyu Liang, Tasweer Ahmad, Mengru Li, Weijie Chen, Xin Zhang, Shicai Yang, Songxuan Lai, Yuanlong Yu and Yueting Zhuang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Expert Systems with Applications and IEEE Access.

In The Last Decade

Luojun Lin

24 papers receiving 480 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Luojun Lin China	11	377	174	105	44	43	27	490
Antitza Dantcheva France	17	947 2.5×	139 0.8×	96 0.9×	171 3.9×	66 1.5×	51	1.2k
Lingyu Liang China	12	489 1.3×	99 0.6×	157 1.5×	10 0.2×	69 1.6×	40	612
Wen-Huang Cheng Taiwan	14	298 0.8×	131 0.8×	74 0.7×	11 0.3×	32 0.7×	51	481
Thomas S. Huang United States	8	663 1.8×	85 0.5×	22 0.2×	45 1.0×	17 0.4×	13	715
Ziyong Feng China	11	336 0.9×	107 0.6×	34 0.3×	14 0.3×	43 1.0×	17	423
Dongyu She China	13	537 1.4×	376 2.2×	151 1.4×	14 0.3×	94 2.2×	16	820
Moez Baccouche France	5	377 1.0×	115 0.7×	14 0.1×	20 0.5×	19 0.4×	6	486
Yibo Hu China	15	766 2.0×	106 0.6×	141 1.3×	29 0.7×	29 0.7×	28	875
Insaf Adjabi Algeria	5	301 0.8×	55 0.3×	25 0.2×	22 0.5×	17 0.4×	8	449
Massimiliano Patacchiola United Kingdom	10	204 0.5×	160 0.9×	23 0.2×	20 0.5×	70 1.6×	17	479

Countries citing papers authored by Luojun Lin

Since Specialization

Citations

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

Fields of papers citing papers by Luojun Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luojun Lin

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Lin, Luojun, et al.. (2024). Learning feature alignment across attribute domains for improving facial beauty prediction. Expert Systems with Applications. 249. 123644–123644. 2 indexed citations

Lin, Luojun, et al.. (2024). Semi-supervised domain generalization with evolving intermediate domain. Pattern Recognition. 149. 110280–110280. 8 indexed citations

Lin, Luojun, et al.. (2024). You only label once: A self‐adaptive clustering‐based method for source‐free active domain adaptation. IET Image Processing. 18(5). 1268–1282. 2 indexed citations

Lin, Luojun, et al.. (2024). Slow-Fast Adaptation for Source-Free Object Detection. 1–6.

Yu, Yuanlong, et al.. (2024). Dynamic Attentive Convolution for Facial Beauty Prediction. IEICE Transactions on Information and Systems. E107.D(2). 239–243. 5 indexed citations

Lin, Zheng, et al.. (2024). No-Reference Segmentation Annotation Quality Assessment. 1–6.

Chen, Weijie, et al.. (2023). Distilling Vision-Language Foundation Models: A Data-Free Approach via Prompt Diversification. 4928–4938.

Chen, Weijie, et al.. (2023). Better Together: Data-Free Multi-Student Coevolved Distillation. Knowledge-Based Systems. 283. 111146–111146. 3 indexed citations

Lin, Luojun, et al.. (2023). Run and Chase: Towards Accurate Source-Free Domain Adaptive Object Detection. 2453–2458. 5 indexed citations

10.

Chen, Weijie, Shicai Yang, Di Xie, et al.. (2023). Unsupervised Prompt Tuning for Text-Driven Object Detection. 2651–2661. 4 indexed citations

11.

Chen, Weijie, et al.. (2023). Customized Automatic Face Beautification. 1–5. 2 indexed citations

12.

Chen, Weijie, Luojun Lin, Shicai Yang, et al.. (2022). Self-Supervised Noisy Label Learning for Source-Free Unsupervised Domain Adaptation. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 10185–10192. 31 indexed citations

13.

Shen, Z., Luojun Lin, Yuanlong Yu, et al.. (2022). Dynamic Domain Generalization. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 1342–1348. 16 indexed citations

14.

Ahmad, Tasweer, et al.. (2021). Graph Convolutional Neural Network for Human Action Recognition: A Comprehensive Survey. IEEE Transactions on Artificial Intelligence. 2(2). 128–145. 89 indexed citations

15.

Lai, Songxuan, et al.. (2021). SynSig2Vec: Forgery-Free Learning of Dynamic Signature Representations by Sigma Lognormal-Based Synthesis and 1D CNN. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(10). 6472–6485. 21 indexed citations

16.

Ahmad, Tasweer, et al.. (2020). Skeleton-based action recognition using sparse spatio-temporal GCN with edge effective resistance. Neurocomputing. 423. 389–398. 25 indexed citations

17.

Lin, Luojun, Lingyu Liang, & Lianwen Jin. (2019). Regression Guided by Relative Ranking Using Convolutional Neural Network (R3 CNN) for Facial Beauty Prediction. IEEE Transactions on Affective Computing. 13(1). 122–134. 32 indexed citations

18.

Liang, Lingyu, et al.. (2018). SCUT-FBP5500: A Diverse Benchmark Dataset for Multi-Paradigm Facial Beauty Prediction. 1598–1603. 125 indexed citations

19.

Lin, Luojun, Lingyu Liang, & Lianwen Jin. (2018). R²-ResNeXt: A ResNeXt-Based Regression Model with Relative Ranking for Facial Beauty Prediction. 85–90. 11 indexed citations

20.

Liang, Lingyu, et al.. (2017). Region-aware scattering convolution networks for facial beauty prediction. 2861–2865. 9 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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