Xiaolin Hu

19.5k total citations · 5 hit papers
146 papers, 8.7k citations indexed

About

Xiaolin Hu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Xiaolin Hu has authored 146 papers receiving a total of 8.7k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Computer Vision and Pattern Recognition, 49 papers in Artificial Intelligence and 20 papers in Cognitive Neuroscience. Recurrent topics in Xiaolin Hu's work include Advanced Neural Network Applications (23 papers), Neural Networks and Applications (15 papers) and Neural dynamics and brain function (14 papers). Xiaolin Hu is often cited by papers focused on Advanced Neural Network Applications (23 papers), Neural Networks and Applications (15 papers) and Neural dynamics and brain function (14 papers). Xiaolin Hu collaborates with scholars based in China, United States and Germany. Xiaolin Hu's co-authors include Jian Yang, Wenhai Wang, Xiang Li, Junjie Yan, Zheng Zhu, Bo Li, Wei Wu, Ming Liang, Jun Wang and Jun Li and has published in prestigious journals such as Advanced Materials, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Xiaolin Hu

139 papers receiving 8.4k citations

Hit Papers

Selective Kernel Networks 2015 2026 2018 2022 2019 2018 2015 2019 2021 500 1000 1.5k
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. Selective Kernel Networks
    2019 2.0k citations Wenhai Wang, Xiaolin Hu et al. profile →
  2. High Performance Visual Tracking with Siamese Region Proposal Network
    2018 1.9k citations Bo Li, Junjie Yan et al. profile →
  3. Recurrent convolutional neural network for object recognition
    2015 614 citations Xiaolin Hu et al. profile →
  4. Evaluate the Malignancy of Pulmonary Nodules Using the 3-D Deep Leaky Noisy-OR Network
    2019 317 citations Ming Liang, Xiaolin Hu et al. profile →
  5. Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection
    2021 270 citations Li Xiang, Wenhai Wang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaolin Hu China 37 5.4k 2.3k 1.1k 893 677 146 8.7k
Peihua Li China 29 4.6k 0.9× 1.9k 0.8× 742 0.7× 1.2k 1.4× 603 0.9× 118 8.2k
Fisher Yu United States 32 7.8k 1.4× 2.6k 1.2× 1.4k 1.3× 855 1.0× 483 0.7× 70 11.1k
Weiming Hu China 51 8.8k 1.6× 3.0k 1.3× 1.1k 1.0× 701 0.8× 465 0.7× 306 11.5k
Qilong Wang China 21 4.3k 0.8× 1.9k 0.8× 648 0.6× 1.2k 1.3× 575 0.8× 67 7.3k
Enhua Wu China 21 5.8k 1.1× 2.1k 0.9× 631 0.6× 1.5k 1.7× 1.0k 1.5× 198 10.1k
Jifeng Dai China 26 9.2k 1.7× 2.7k 1.2× 1.3k 1.2× 1.5k 1.7× 641 0.9× 53 12.0k
Jenq–Neng Hwang United States 46 5.1k 0.9× 2.0k 0.9× 785 0.7× 665 0.7× 344 0.5× 395 8.5k
Bernard Ghanem Saudi Arabia 41 7.0k 1.3× 3.0k 1.3× 871 0.8× 476 0.5× 328 0.5× 206 9.6k
Gang Sun China 9 4.9k 0.9× 2.1k 0.9× 536 0.5× 1.3k 1.4× 1.0k 1.5× 18 8.6k

Countries citing papers authored by Xiaolin Hu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolin Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaolin Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaolin Hu. A scholar is included among the top collaborators of Xiaolin 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 Xiaolin Hu. Xiaolin 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, Xiaolin, et al.. (2025). Ru single atoms regulate electron distribution in defective NiFe LDH for enhanced oxygen evolution reaction. Nano Research. 18(12). 94908120–94908120.
2.
Li, Xiao, et al.. (2025). On the Importance of Backbone to the Adversarial Robustness of Object Detectors. IEEE Transactions on Information Forensics and Security. 20. 2387–2398.
3.
Li, Jianmin, et al.. (2024). CEDNet: A cascade encoder–decoder network for dense prediction. Pattern Recognition. 158. 111072–111072. 8 indexed citations
4.
Yuan, Kexin, et al.. (2024). An Audio-Visual Speech Separation Model Inspired by Cortico-Thalamo-Cortical Circuits. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(10). 6637–6651. 11 indexed citations
5.
Hu, Xiaolin, et al.. (2024). DHS-DETR: Efficient DETRs with dynamic head switching. Computer Vision and Image Understanding. 248. 104106–104106. 1 indexed citations
6.
7.
Hu, Xiaoqi, et al.. (2023). Prediction model for gestational diabetes mellitus using the XG Boost machine learning algorithm. Frontiers in Endocrinology. 14. 1105062–1105062. 14 indexed citations
8.
Xiang, Li, Wenhai Wang, Xiaolin Hu, et al.. (2021). Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection. 11627–11636. 270 indexed citations breakdown →
9.
Liu, Han, Shifeng Zhang, Ke Lin, et al.. (2021). Vocabulary-Wide Credit Assignment for Training Image Captioning Models. IEEE Transactions on Image Processing. 30. 2450–2460. 16 indexed citations
10.
Zhang, Gang, Xin Lu, Jingru Tan, et al.. (2021). RefineMask: Towards High-Quality Instance Segmentation with Fine-Grained Features. 6857–6865. 91 indexed citations
11.
Wang, Jianfeng, Thomas Lukasiewicz, Xiaolin Hu, Jianfei Cai, & Zhenghua Xu. (2021). RSG: A Simple but Effective Module for Learning Imbalanced Datasets. Oxford University Research Archive (ORA) (University of Oxford). 3783–3792. 65 indexed citations
12.
Zhang, Tianren, et al.. (2020). Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning.. neural information processing systems. 33. 21579–21590. 1 indexed citations
13.
Lauri, Mikko, et al.. (2020). 6D Object Pose Regression via Supervised Learning on Point Clouds. 3643–3649. 51 indexed citations
14.
Li, Xiang, Jun Li, Xiaolin Hu, & Jian Yang. (2019). Line-CNN: End-to-End Traffic Line Detection With Line Proposal Unit. IEEE Transactions on Intelligent Transportation Systems. 21(1). 248–258. 206 indexed citations
15.
16.
Li, Bo, Junjie Yan, Wei Wu, Zheng Zhu, & Xiaolin Hu. (2018). High Performance Visual Tracking with Siamese Region Proposal Network. 8971–8980. 1854 indexed citations breakdown →
17.
Wang, Jianfeng & Xiaolin Hu. (2017). Gated recurrent convolution neural network for OCR. Neural Information Processing Systems. 30. 334–343. 63 indexed citations
18.
Liang, Ming, Xiaolin Hu, & Bo Zhang. (2015). Convolutional neural networks with intra-layer recurrent connections for scene labeling. Neural Information Processing Systems. 28. 937–945. 40 indexed citations
19.
Hu, Xiaolin, Ming Lu, & Simaan AbouRizk. (2014). BIM-based data mining approach to estimating job man-hour requirements in structural steel fabrication. Winter Simulation Conference. 3399–3410. 8 indexed citations
20.
Yang, Yang, et al.. (2012). A Modified K-Shortest Paths Algorithm for Solving the Earliest Arrival Problem on the Time-Dependent Model of Transportation Systems. Lecture notes in computer science. 2196(1). 1562–1567. 6 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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