Bei Li

1.3k total citations
29 papers, 264 citations indexed

About

Bei Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Bei Li has authored 29 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in Bei Li's work include Natural Language Processing Techniques (15 papers), Topic Modeling (13 papers) and Multimodal Machine Learning Applications (8 papers). Bei Li is often cited by papers focused on Natural Language Processing Techniques (15 papers), Topic Modeling (13 papers) and Multimodal Machine Learning Applications (8 papers). Bei Li collaborates with scholars based in China, United States and Hong Kong. Bei Li's co-authors include Tong Xiao, Gary W. Meyer, Ching Y. Suen, Qiong Liu, You Yang, Jingbo Zhu, Xinmei Tian, Cong Guo, Hui Liu and Jingbo Zhu and has published in prestigious journals such as Pattern Recognition, Neurocomputing and IEEE Transactions on Multimedia.

In The Last Decade

Bei Li

23 papers receiving 250 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bei Li China	10	137	136	18	18	13	29	264
Boyán Bonev Spain	9	143 1.0×	111 0.8×	14 0.8×	26 1.4×	23 1.8×	19	253
Chen Gao China	12	328 2.4×	139 1.0×	8 0.4×	19 1.1×	19 1.5×	19	410
Jiechao Xiong China	9	91 0.7×	87 0.6×	9 0.5×	12 0.7×	15 1.2×	17	212
Bilal Ahmad China	8	103 0.8×	92 0.7×	8 0.4×	34 1.9×	9 0.7×	30	226
Zhi Gao China	9	158 1.2×	128 0.9×	14 0.8×	32 1.8×	17 1.3×	18	286
Davide Eynard Switzerland	9	108 0.8×	56 0.4×	36 2.0×	16 0.9×	28 2.2×	16	227
Huidong Liu China	9	176 1.3×	164 1.2×	29 1.6×	24 1.3×	6 0.5×	21	312
Haim Schweitzer United States	9	126 0.9×	89 0.7×	11 0.6×	9 0.5×	11 0.8×	41	231
Shanchuan Lin United States	5	223 1.6×	75 0.6×	10 0.6×	17 0.9×	8 0.6×	5	316
Dong Yin China	8	78 0.6×	82 0.6×	12 0.7×	25 1.4×	21 1.6×	29	224

Countries citing papers authored by Bei Li

Since Specialization

Citations

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

Fields of papers citing papers by Bei Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bei Li

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

1.

Wang, Chenglong, Hang Zhou, Bei Li, et al.. (2024). ESRL: Efficient Sampling-Based Reinforcement Learning for Sequence Generation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(17). 19107–19115. 2 indexed citations

2.

Li, Bei, et al.. (2024). Hybrid Alignment Training for Large Language Models. 11389–11403. 1 indexed citations

3.

Li, Lin, et al.. (2024). Encoder–Decoder Calibration for Multimodal Machine Translation. IEEE Transactions on Artificial Intelligence. 5(8). 3965–3973. 7 indexed citations

4.

Liu, Yilun, Weibin Meng, Shimin Tao, et al.. (2024). Clustering and Ranking: Diversity-preserved Instruction Selection through Expert-aligned Quality Estimation. 464–478. 2 indexed citations

5.

Zheng, Tong, et al.. (2024). EIT: Enhanced Interactive Transformer. 7734–7751.

6.

Zheng, Tong, et al.. (2024). PartialFormer: Modeling Part Instead of Whole for Machine Translation. 7280–7294.

7.

Li, Bei, et al.. (2023). TranSFormer: Slow-Fast Transformer for Machine Translation. 6883–6896. 2 indexed citations

8.

Li, Bei, Zhiyuan Liu, Song Zheng, et al.. (2023). DUP-Net: Double U-PoolFormer Networks for Renal Artery Segmentation in CT Urography. 1–8. 1 indexed citations

9.

Wang, Quanyu, et al.. (2021). An Improved YOLOv3 Object Detection Network for Mobile Augmented Reality. 332–339. 4 indexed citations

10.

Li, Bei, Ziyang Wang, Hui Liu, et al.. (2021). Learning Light-Weight Translation Models from Deep Transformer. Proceedings of the AAAI Conference on Artificial Intelligence. 35(15). 13217–13225. 20 indexed citations

11.

Li, Yanyang, et al.. (2021). Weight Distillation: Transferring the Knowledge in Neural Network Parameters. 2076–2088. 11 indexed citations

12.

Zhang, Yuhao, Ziyang Wang, Shuhan Zhou, et al.. (2020). The NiuTrans Machine Translation Systems for WMT20. Empirical Methods in Natural Language Processing. 338–345. 2 indexed citations

13.

Li, Bei, et al.. (2020). The NiuTrans System for WNGT 2020 Efficiency Task. 204–210. 3 indexed citations

14.

Li, Bei, Xu Chen, Jiqiang Liu, et al.. (2019). The NiuTrans Machine Translation Systems for WMT19. 257–266. 28 indexed citations

15.

Yang, You, et al.. (2018). A Two-Stage Clustering Based 3D Visual Saliency Model for Dynamic Scenarios. IEEE Transactions on Multimedia. 21(4). 809–820. 36 indexed citations

16.

Li, Bei, Gongfa Li, Ying Sun, et al.. (2017). A Review of Gesture Recognition Based on Computer Vision. Lecture notes in computer science. 528–538.

17.

Guo, Cong, Bei Li, & Xinmei Tian. (2016). Flickr group recommendation using rich social media information. Neurocomputing. 204. 8–16. 24 indexed citations

18.

Zhang, Ping, Bei Li, & Guanglong Du. (2015). An adaptive human-robot system using CMAC and over damping. 2013. 835–840. 6 indexed citations

19.

Li, Haifeng, et al.. (2011). A Restricted Version of Wythoff's Game. The Electronic Journal of Combinatorics. 18(1). 12 indexed citations

20.

Li, Bei & Ching Y. Suen. (1991). A knowledge-based thinning algorithm. Pattern Recognition. 24(12). 1211–1221. 19 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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