Beibei Lin

599 total citations · 1 hit paper
16 papers, 325 citations indexed

About

Beibei Lin is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Human-Computer Interaction. According to data from OpenAlex, Beibei Lin has authored 16 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Biomedical Engineering and 4 papers in Human-Computer Interaction. Recurrent topics in Beibei Lin's work include Gait Recognition and Analysis (5 papers), Human Pose and Action Recognition (4 papers) and Video Surveillance and Tracking Methods (4 papers). Beibei Lin is often cited by papers focused on Gait Recognition and Analysis (5 papers), Human Pose and Action Recognition (4 papers) and Video Surveillance and Tracking Methods (4 papers). Beibei Lin collaborates with scholars based in China, Singapore and Australia. Beibei Lin's co-authors include Shunli Zhang, Xin Yu, Yeying Jin, Wending Yan, Robby T. Tan, Yehuan Liu, Zheng Zhu, Yang Tian, Ming Wang and Lincheng Li and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Frontiers in Psychology.

In The Last Decade

Beibei Lin

16 papers receiving 321 citations

Hit Papers

align trajectories

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.

Gait Recognition via Effective Global-Local Feature Representation and Local Temporal Aggregation

2021 194 citations Beibei Lin, Shunli Zhang et al. 2021 IEEE/CVF International Conference on Computer Vision (ICCV) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Beibei Lin China	8	234	229	100	60	19	16	325
Miwa Okumura Japan	7	260 1.1×	354 1.5×	70 0.7×	43 0.7×	14 0.7×	18	442
Yunjie Peng China	4	327 1.4×	367 1.6×	145 1.4×	91 1.5×	19 1.0×	5	393
Chuanfu Shen China	7	160 0.7×	215 0.9×	93 0.9×	55 0.9×	6 0.3×	12	227
Toby H. W. Lam Hong Kong	4	267 1.1×	276 1.2×	95 0.9×	23 0.4×	11 0.6×	6	302
Haruyuki Iwama Japan	8	422 1.8×	447 2.0×	108 1.1×	56 0.9×	31 1.6×	10	485
Vinay Bettadapura United States	6	111 0.5×	69 0.3×	20 0.2×	6 0.1×	11 0.6×	6	209
Lucia Migliorelli Italy	11	67 0.3×	70 0.3×	16 0.2×	11 0.2×	2 0.1×	29	251
Daoliang Tan China	4	738 3.2×	789 3.4×	252 2.5×	119 2.0×	35 1.8×	4	840
Micha Pfeiffer Germany	8	122 0.5×	104 0.5×	27 0.3×	2 0.0×	7 0.4×	19	240
Yuji Ohgi Japan	11	53 0.2×	149 0.7×	11 0.1×	7 0.1×	12 0.6×	46	315

Countries citing papers authored by Beibei Lin

Since Specialization

Citations

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

Fields of papers citing papers by Beibei Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beibei Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Beibei Lin. A scholar is included among the top collaborators of Beibei 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 Beibei Lin. Beibei 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:

16 of 16 papers shown

1.

Zhu, Zheng, Tian Yang, Beibei Lin, et al.. (2025). Gait Recognition in the Wild: A Large-Scale Benchmark and NAS-Based Baseline. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(6). 4535–4552. 1 indexed citations

2.

Fu, Yingjie, et al.. (2025). The effect of motivational interviewing on patients with early post-stroke depression: a quasi-experimental study. BMC Psychiatry. 25(1). 248–248. 2 indexed citations

3.

Wang, Ming, Beibei Lin, Yang Tian, et al.. (2023). DyGait: Exploiting Dynamic Representations for High-performance Gait Recognition. 13378–13387. 26 indexed citations

4.

Jin, Yeying, et al.. (2023). Enhancing Visibility in Nighttime Haze Images Using Guided APSF and Gradient Adaptive Convolution. 2446–2457. 36 indexed citations

5.

Shen, Chuanfu, Beibei Lin, Shunli Zhang, et al.. (2023). Gait Recognition with Mask-based Regularization. 1–10. 9 indexed citations

6.

Chen, Junya, et al.. (2022). Development and validation of the Health Education Adherence Scale for Stroke Patients: a cross-sectional study. BMC Neurology. 22(1). 69–69. 4 indexed citations

7.

Liu, Jing, et al.. (2022). Mediating Role of Resourcefulness in the Relationship Between Illness Uncertainty and Poststroke Depression. Frontiers in Psychology. 13. 852739–852739. 4 indexed citations

8.

Bao, Feng, et al.. (2022). Using Segmentation With Multi-Scale Selective Kernel for Visual Object Tracking. IEEE Signal Processing Letters. 29. 553–557. 9 indexed citations

9.

Li, Hua, et al.. (2022). A predictive nomogram for a failed trial of labor after cesarean: A retrospective cohort study. Journal of obstetrics and gynaecology research. 48(11). 2798–2806. 2 indexed citations

10.

Lin, Beibei, et al.. (2021). Nasopharyngeal metastasis from colorectal cancer: a case report. Annals of Palliative Medicine. 10(4). 4911–4916. 3 indexed citations

11.

Lin, Beibei, Yu Liu, & Shunli Zhang. (2021). GaitMask: Mask-based Model for Gait Recognition. 3 indexed citations

12.

Wu, Tingting, et al.. (2021). Diagnosis and treatment of uterine artery pseudoaneurysm. Medicine. 100(51). e28093–e28093. 11 indexed citations

13.

Zhang, Shunli, et al.. (2021). Blind Image Deblurring Based on Dual Attention Network and 2D Blur Kernel Estimation. 13. 1729–1733. 1 indexed citations

14.

Lin, Beibei, Shunli Zhang, & Xin Yu. (2021). Gait Recognition via Effective Global-Local Feature Representation and Local Temporal Aggregation. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 14628–14636. 194 indexed citations breakdown →

15.

Liu, Yehuan & Beibei Lin. (2019). Application of quality control circle in the treatment of moderate cancer pain in inpatients. Japanese Journal of Clinical Oncology. 50(5). 581–585. 7 indexed citations

16.

Leng, Lin, Yimin Yuan, Qi Chen, et al.. (2014). Biometry of Anterior Segment of Human Eye on Both Horizontal and Vertical Meridians during Accommodation Imaged with Extended Scan Depth Optical Coherence Tomography. PLoS ONE. 9(8). e104775–e104775. 13 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.

Explore authors with similar magnitude of impact