Xiaolin Huang

5.9k total citations
224 papers, 3.8k citations indexed

About

Xiaolin Huang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Xiaolin Huang has authored 224 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Computer Vision and Pattern Recognition, 66 papers in Artificial Intelligence and 32 papers in Control and Systems Engineering. Recurrent topics in Xiaolin Huang's work include Sparse and Compressive Sensing Techniques (25 papers), Face and Expression Recognition (23 papers) and Advanced Neural Network Applications (18 papers). Xiaolin Huang is often cited by papers focused on Sparse and Compressive Sensing Techniques (25 papers), Face and Expression Recognition (23 papers) and Advanced Neural Network Applications (18 papers). Xiaolin Huang collaborates with scholars based in China, Belgium and Germany. Xiaolin Huang's co-authors include Johan A. K. Suykens, Chao Shang, Jie Yang, Dexian Huang, Xiangqiang Kong, R.Z. Wang, Lei Shi, Andreas Maier, Fengqi You and Fan Yang and has published in prestigious journals such as Psychological Bulletin, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Xiaolin Huang

204 papers receiving 3.8k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiaolin Huang China	36	1.0k	794	727	407	367	224	3.8k
Hui Zhang China	33	1.6k 1.5×	790 1.0×	634 0.9×	486 1.2×	334 0.9×	376	4.6k
Jos De Brabanter Belgium	23	1.1k 1.0×	1.7k 2.2×	1.4k 1.9×	529 1.3×	738 2.0×	54	6.9k
Yi Shen China	39	868 0.8×	848 1.1×	2.8k 3.9×	589 1.4×	538 1.5×	490	6.4k
Chi‐Man Vong Macao	35	1.0k 1.0×	1.7k 2.2×	1.0k 1.4×	478 1.2×	735 2.0×	178	4.3k
Bai Li China	43	2.2k 2.1×	797 1.0×	1.2k 1.6×	311 0.8×	387 1.1×	277	6.6k
Ganapati Panda India	32	598 0.6×	1.7k 2.1×	936 1.3×	146 0.4×	974 2.7×	230	4.8k
Jun Sun China	30	867 0.8×	2.0k 2.5×	884 1.2×	301 0.7×	887 2.4×	185	4.9k
Nojun Kwak South Korea	29	2.3k 2.2×	1.9k 2.4×	279 0.4×	183 0.4×	233 0.6×	151	4.4k
Habibollah Haron Malaysia	29	630 0.6×	907 1.1×	161 0.2×	854 2.1×	669 1.8×	144	3.1k
Genlin Ji China	28	1.1k 1.1×	1.3k 1.7×	242 0.3×	110 0.3×	286 0.8×	145	4.0k

Countries citing papers authored by Xiaolin Huang

Since Specialization

Citations

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

Fields of papers citing papers by Xiaolin Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaolin Huang

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

He, Fan, et al.. (2025). A Decentralized Framework for Kernel PCA With Projection Consensus Constraints. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(5). 3908–3921.

Niu, Feng, Juan Tao, Shu Wang, et al.. (2025). Customized AIEgen-Based Molecular Signaling Tags Combined Microfluidic Chip for Point-of-Care Testing Viable E. coli O157:H7. ACS Sensors. 10(2). 785–794. 4 indexed citations

Lv, Chen, et al.. (2025). PRDepth: Pose Refinement Enhancement-Based Monocular Depth Estimation for Indoor Scenes. IEEE Transactions on Instrumentation and Measurement. 74. 1–16.

Wei, Yang, Xiaolin Huang, Peihua Ma, et al.. (2024). The dawn of intelligent technologies in tea industry. Trends in Food Science & Technology. 144. 104337–104337. 40 indexed citations

Xiao, Ting, et al.. (2024). Three-dimensional magnetophoretic bioassay based on artificial intelligence-mediated load assignment for the femtomolar and washing-free detection of analytes. Nano Today. 59. 102522–102522. 4 indexed citations

Cai, Jia, et al.. (2024). Towards robust neural networks via orthogonal diversity. Pattern Recognition. 149. 110281–110281. 4 indexed citations

Xu, Wei, et al.. (2024). Region-Based Unsupervised Low-Light Image Enhancement in the Wild With Explicit Domain Supervision. IEEE Transactions on Instrumentation and Measurement. 73. 1–11. 4 indexed citations

Bao, Jiahao, Shuguang Xiang, Hao Liu, et al.. (2024). Deep Learning–Based Facial and Skeletal Transformations for Surgical Planning. Journal of Dental Research. 103(8). 809–819. 6 indexed citations

Tao, Qinghua, et al.. (2024). Revisiting Deep Ensemble for Out-of-Distribution Detection: A Loss Landscape Perspective. International Journal of Computer Vision. 132(12). 6107–6126. 1 indexed citations

10.

Zhang, Changhe, et al.. (2023). An end-to-end lower limb activity recognition framework based on sEMG data augmentation and enhanced CapsNet. Expert Systems with Applications. 227. 120257–120257. 14 indexed citations

11.

Yang, Jie, et al.. (2023). Improving the adversarial robustness of quantized neural networks via exploiting the feature diversity. Pattern Recognition Letters. 176. 117–122.

12.

Huang, Xiaolin, et al.. (2023). Multi-Frame Self-Supervised Depth Estimation with Multi-Scale Feature Fusion in Dynamic Scenes. 2553–2563. 2 indexed citations

13.

He, Fan, et al.. (2023). Consensus-based distributed algorithm for GEP. Signal Processing. 216. 109307–109307. 1 indexed citations

14.

Huang, Xiaolin, et al.. (2023). Unifying Gradients to Improve Real-World Robustness for Deep Networks. ACM Transactions on Intelligent Systems and Technology. 14(6). 1–16. 2 indexed citations

15.

Huang, Xiaolin, et al.. (2022). Hierarchical Superpixel Segmentation by Parallel CRTrees Labeling. IEEE Transactions on Image Processing. 31. 4719–4732. 8 indexed citations

16.

He, Fan, et al.. (2021). One-Shot Distributed Algorithm for PCA With RBF Kernels. IEEE Signal Processing Letters. 28. 1465–1469.

17.

Mehrkanoon, Siamak, Xiaolin Huang, & Johan A. K. Suykens. (2020). Learning from partially labeled data.. Data Archiving and Networked Services (DANS). 493–502.

18.

Qin, Yulei, Hao Zheng, Xiaolin Huang, Jie Yang, & Yuemin Zhu. (2018). Pulmonary nodule segmentation with CT sample synthesis using adversarial networks. Medical Physics. 46(3). 1218–1229. 51 indexed citations

19.

Huang, Xiaolin, et al.. (2018). Adversarial Attack Type I: Generating False Positives. arXiv (Cornell University). 1 indexed citations

20.

Wang, Xi, et al.. (2004). Effects of exogenous ABA on germination inhibition of rice seed. ACTA AGRONOMICA SINICA. 30(12). 1250–1253. 3 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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