Baopu Li

5.0k total citations · 1 hit paper
133 papers, 3.3k citations indexed

About

Baopu Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Gastroenterology. According to data from OpenAlex, Baopu Li has authored 133 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Computer Vision and Pattern Recognition, 39 papers in Artificial Intelligence and 37 papers in Gastroenterology. Recurrent topics in Baopu Li's work include Gastrointestinal Bleeding Diagnosis and Treatment (37 papers), Domain Adaptation and Few-Shot Learning (24 papers) and Advanced Neural Network Applications (23 papers). Baopu Li is often cited by papers focused on Gastrointestinal Bleeding Diagnosis and Treatment (37 papers), Domain Adaptation and Few-Shot Learning (24 papers) and Advanced Neural Network Applications (23 papers). Baopu Li collaborates with scholars based in China, Hong Kong and United States. Baopu Li's co-authors include Max Q.‐H. Meng, Yixuan Yuan, Max Q.-H. Meng, Chao Hu, Jiankun Wang, Shuang Song, Bin Liu, Wanli Ouyang, Yue Wu and Yan Lu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Baopu Li

126 papers receiving 3.2k citations

Hit Papers

Cross-Modality Person Re-Identification With Shared-Speci... 2020 2026 2022 2024 2020 50 100 150 200 250
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. Cross-Modality Person Re-Identification With Shared-Specific Feature Transfer
    2020 283 citations Baopu Li 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
Baopu Li China 30 1.8k 1.1k 601 481 312 133 3.3k
Mussarat Yasmin Pakistan 38 2.5k 1.4× 271 0.2× 1.4k 2.3× 402 0.8× 293 0.9× 89 4.4k
Tallha Akram Pakistan 36 1.2k 0.7× 109 0.1× 1.5k 2.5× 1.1k 2.3× 239 0.8× 90 3.9k
Shankar Krishnan United States 27 965 0.5× 119 0.1× 342 0.6× 183 0.4× 95 0.3× 119 3.1k
Yang Cong China 31 2.0k 1.1× 58 0.1× 1.8k 3.1× 179 0.4× 134 0.4× 147 3.8k
Majed Alhaisoni Saudi Arabia 29 875 0.5× 86 0.1× 1.0k 1.7× 335 0.7× 102 0.3× 104 2.5k
Muhammad Sharif Pakistan 32 928 0.5× 184 0.2× 947 1.6× 591 1.2× 84 0.3× 44 2.6k
Mudassar Raza Pakistan 32 1.9k 1.1× 65 0.1× 1.1k 1.9× 235 0.5× 171 0.5× 116 3.4k
Shuai Wang China 25 735 0.4× 57 0.1× 658 1.1× 110 0.2× 152 0.5× 140 2.1k
Shadrokh Samavi Iran 23 1.4k 0.8× 36 0.0× 470 0.8× 370 0.8× 618 2.0× 156 2.3k
Muhammad Sharif Pakistan 23 1.3k 0.7× 53 0.0× 775 1.3× 112 0.2× 114 0.4× 67 2.3k

Countries citing papers authored by Baopu Li

Since Specialization
Citations

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

Fields of papers citing papers by Baopu Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baopu Li

This figure shows the co-authorship network connecting the top 25 collaborators of Baopu Li. A scholar is included among the top collaborators of Baopu Li 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 Baopu Li. Baopu Li 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.
Fan, Jiayuan, et al.. (2025). BridgeNet: Comprehensive and Effective Feature Interactions via Bridge Feature for Multi-Task Dense Predictions. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(5). 3657–3672. 1 indexed citations
2.
Tang, Yi, Min Liu, Baopu Li, Yaonan Wang, & Wanli Ouyang. (2024). NAS-PED: Neural Architecture Search for Pedestrian Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(3). 1800–1817. 5 indexed citations
3.
Ye, Peng, Baopu Li, Weihao Lin, et al.. (2024). Boosting Residual Networks with Group Knowledge. Proceedings of the AAAI Conference on Artificial Intelligence. 38(6). 5162–5170. 1 indexed citations
4.
Tang, Yi, Min Liu, Baopu Li, Yaonan Wang, & Wanli Ouyang. (2023). OTP-NMS: Toward Optimal Threshold Prediction of NMS for Crowded Pedestrian Detection. IEEE Transactions on Image Processing. 32. 3176–3187. 14 indexed citations
5.
Zhang, Bo, et al.. (2023). Rethinking Cross-Domain Pedestrian Detection: A Background-Focused Distribution Alignment Framework for Instance-Free One-Stage Detectors. IEEE Transactions on Image Processing. 32. 4935–4950. 7 indexed citations
6.
Li, Baopu, et al.. (2023). Multi-View Vision Fusion Network: Can 2D Pre-Trained Model Boost 3D Point Cloud Data-Scarce Learning?. IEEE Transactions on Circuits and Systems for Video Technology. 34(7). 5951–5962. 5 indexed citations
7.
Liu, Xinyu, Baopu Li, Zhen Chen, & Yixuan Yuan. (2023). Generalized Gradient Flow Based Saliency for Pruning Deep Convolutional Neural Networks. International Journal of Computer Vision. 131(12). 3121–3135. 2 indexed citations
8.
Pan, Zhihong, Baopu Li, Dongliang He, et al.. (2022). Towards Bidirectional Arbitrary Image Rescaling: Joint Optimization and Cycle Idempotence. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 17368–17377. 28 indexed citations
9.
Liang, Tianyi, et al.. (2022). A Closer Look at the Joint Training of Object Detection and Re-Identification in Multi-Object Tracking. IEEE Transactions on Image Processing. 32. 267–280. 18 indexed citations
10.
Wang, Jiankun, Tingguang Li, Baopu Li, & Max Q.‐H. Meng. (2022). GMR-RRT*: Sampling-Based Path Planning Using Gaussian Mixture Regression. IEEE Transactions on Intelligent Vehicles. 7(3). 690–700. 63 indexed citations
11.
Ma, Xindi, Baopu Li, Qi Jiang, et al.. (2021). NOSnoop: An Effective Collaborative Meta-Learning Scheme Against Property Inference Attack. IEEE Internet of Things Journal. 9(9). 6778–6789. 10 indexed citations
12.
Tang, Yi, Baopu Li, Min Liu, et al.. (2021). AutoPedestrian: An Automatic Data Augmentation and Loss Function Search Scheme for Pedestrian Detection. IEEE Transactions on Image Processing. 30. 8483–8496. 51 indexed citations
13.
Li, Baopu, et al.. (2014). A novel license plate location method based on wavelet transform and EMD analysis. Pattern Recognition. 48(1). 114–125. 71 indexed citations
14.
Song, Youyi, Ling Zhang, Siping Chen, et al.. (2014). A deep learning based framework for accurate segmentation of cervical cytoplasm and nuclei. PubMed. 2014. 2903–2906. 68 indexed citations
15.
Li, Xiaoxiao, Baopu Li, Shuang Song, Chao Hu, & Max Q.‐H. Meng. (2012). Endoscopes shape reconstruction based on electromagnetic localization and curve fitting. 819–824. 4 indexed citations
16.
Li, Baopu, et al.. (2011). A novel method for informative frame selection in wireless capsule endoscopy video. PubMed. 2011. 4864–4867. 6 indexed citations
17.
Meng, Max Q.‐H., et al.. (2010). 3D reconstruction of wireless capsule endoscopy images. PubMed. 2010. 5149–5152. 21 indexed citations
18.
Li, Baopu & Max Q.‐H. Meng. (2009). Computer-Aided Detection of Bleeding Regions for Capsule Endoscopy Images. IEEE Transactions on Biomedical Engineering. 56(4). 1032–1039. 183 indexed citations
19.
Li, Baopu, Max Q.‐H. Meng, & Huaicheng Yan. (2009). Image denosing by curvature strength diffusion. 147. 562–565. 3 indexed citations
20.
Li, Baopu & Max Q.‐H. Meng. (2008). Computer aided detection of bleeding in capsule endoscopy images. Conference proceedings - Canadian Conference on Electrical and Computer Engineering. 1963–1966. 15 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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