Weifeng Lyu

442 total citations
14 papers, 280 citations indexed

About

Weifeng Lyu is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Artificial Intelligence. According to data from OpenAlex, Weifeng Lyu has authored 14 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Information Systems and 4 papers in Artificial Intelligence. Recurrent topics in Weifeng Lyu's work include Video Surveillance and Tracking Methods (5 papers), Human Pose and Action Recognition (3 papers) and Blockchain Technology Applications and Security (2 papers). Weifeng Lyu is often cited by papers focused on Video Surveillance and Tracking Methods (5 papers), Human Pose and Action Recognition (3 papers) and Blockchain Technology Applications and Security (2 papers). Weifeng Lyu collaborates with scholars based in China, Macao and United States. Weifeng Lyu's co-authors include Hao Sheng, Zhang Xiong, Wei Ke, Yang Zhang, Shuai Wang, Dongxiao Yu, Xiuzhen Cheng, Yubin Wu, Yanwei Zheng and Minghui Xu and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Image Processing and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Weifeng Lyu

11 papers receiving 277 citations

Peers

Weifeng Lyu
Young-Chul Yoon South Korea
Yubin Wu China
Aysha Naseer Pakistan
C. Mala India
Sami Gazzah Tunisia
Young-Chul Yoon South Korea
Weifeng Lyu
Citations per year, relative to Weifeng Lyu Weifeng Lyu (= 1×) peers Young-Chul Yoon

Countries citing papers authored by Weifeng Lyu

Since Specialization
Citations

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

Fields of papers citing papers by Weifeng Lyu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weifeng Lyu

This figure shows the co-authorship network connecting the top 25 collaborators of Weifeng Lyu. A scholar is included among the top collaborators of Weifeng Lyu 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 Weifeng Lyu. Weifeng Lyu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Ta, Xuxiang, et al.. (2025). SimPRL: A Simple Contrastive Learning for Path Representation Learning by Joint GPS Trajectories and Road Paths. IEEE Transactions on Intelligent Transportation Systems. 27(1). 400–413.
2.
Lyu, Weifeng, et al.. (2025). A multi agent classical Chinese translation method based on large language models. Scientific Reports. 15(1). 40160–40160.
3.
Sun, Leilei, et al.. (2024). Learning Joint 2-D and 3-D Graph Diffusion Models for Complete Molecule Generation. IEEE Transactions on Neural Networks and Learning Systems. 35(9). 11857–11871. 11 indexed citations
4.
Liu, Chunchi, Minghui Xu, Xiuzhen Cheng, et al.. (2023). TBAC: A Tokoin-Based Accountable Access Control Scheme for the Internet of Things. IEEE Transactions on Mobile Computing. 23(5). 6133–6148. 7 indexed citations
5.
Xu, Minghui, et al.. (2023). Split: A Hash-based Memory Optimization Method for Zero-Knowledge Succinct Non-Interactive Argument of Knowledge (zk-SNARK). IEEE Transactions on Computers. 1–14. 8 indexed citations
6.
Cheng, Xiuzhen, Minghui Xu, Dongxiao Yu, et al.. (2023). Meta Computing. IEEE Network. 38(2). 225–231. 11 indexed citations
7.
Li, Feng, Lina Wang, Huan Yang, et al.. (2023). Collaborative Learning in General Graphs With Limited Memorization: Complexity, Learnability, and Reliability. IEEE/ACM Transactions on Networking. 31(6). 3222–3237. 3 indexed citations
9.
Xu, Minghui, Chenxu Wang, Yifei Zou, et al.. (2022). Curb: Trusted and Scalable Software-Defined Network Control Plane for Edge Computing. 492–502. 3 indexed citations
10.
Zhang, Yang, Hao Sheng, Yubin Wu, et al.. (2020). Long-Term Tracking With Deep Tracklet Association. IEEE Transactions on Image Processing. 29. 6694–6706. 70 indexed citations
11.
Sheng, Hao, Shuai Wang, Yang Zhang, et al.. (2020). Near-Online Tracking With Co-Occurrence Constraints in Blockchain-Based Edge Computing. IEEE Internet of Things Journal. 8(4). 2193–2207. 58 indexed citations
12.
Sheng, Hao, Yang Zhang, Yubin Wu, et al.. (2020). Hypothesis Testing Based Tracking With Spatio-Temporal Joint Interaction Modeling. IEEE Transactions on Circuits and Systems for Video Technology. 30(9). 2971–2983. 27 indexed citations
13.
Sheng, Hao, Kai Lv, Yang Liu, et al.. (2020). Combining Pose Invariant and Discriminative Features for Vehicle Reidentification. IEEE Internet of Things Journal. 8(5). 3189–3200. 22 indexed citations
14.
Sheng, Hao, Yanwei Zheng, Wei Ke, et al.. (2020). Mining Hard Samples Globally and Efficiently for Person Reidentification. IEEE Internet of Things Journal. 7(10). 9611–9622. 60 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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