Weiwei Xing

2.1k total citations
169 papers, 1.5k citations indexed

About

Weiwei Xing is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Weiwei Xing has authored 169 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Computer Vision and Pattern Recognition, 29 papers in Artificial Intelligence and 23 papers in Computer Networks and Communications. Recurrent topics in Weiwei Xing's work include Video Surveillance and Tracking Methods (30 papers), Human Pose and Action Recognition (24 papers) and Advanced Image and Video Retrieval Techniques (15 papers). Weiwei Xing is often cited by papers focused on Video Surveillance and Tracking Methods (30 papers), Human Pose and Action Recognition (24 papers) and Advanced Image and Video Retrieval Techniques (15 papers). Weiwei Xing collaborates with scholars based in China, United States and United Kingdom. Weiwei Xing's co-authors include Weibin Liu, Wei Lu, Xiang Wei, Shangchun Fan, Wei Qian, Shumin Fei, Shunli Zhang, Cheng Liu, Liqiang Wang and Peng Bao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Engineering Journal and Journal of Materials Chemistry A.

In The Last Decade

Weiwei Xing

154 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weiwei Xing China 20 531 295 208 202 201 169 1.5k
Jianwu Li China 23 957 1.8× 532 1.8× 136 0.7× 138 0.7× 162 0.8× 94 1.9k
Jin Li China 20 343 0.6× 528 1.8× 154 0.7× 477 2.4× 130 0.6× 130 1.6k
Marc-André Gardner Canada 8 282 0.5× 429 1.5× 126 0.6× 322 1.6× 79 0.4× 10 1.7k
Xiang Fei China 18 213 0.4× 270 0.9× 159 0.8× 177 0.9× 43 0.2× 114 1.2k
Qian Wang China 25 764 1.4× 903 3.1× 131 0.6× 291 1.4× 260 1.3× 167 2.3k
Zhu Wang China 30 1.3k 2.4× 418 1.4× 209 1.0× 473 2.3× 184 0.9× 135 2.6k
Xiaojuan Ban China 17 447 0.8× 315 1.1× 124 0.6× 123 0.6× 112 0.6× 142 1.3k
Si Zhang United States 15 305 0.6× 894 3.0× 67 0.3× 152 0.8× 167 0.8× 23 1.9k
Yuqiang Chen China 12 168 0.3× 362 1.2× 85 0.4× 133 0.7× 44 0.2× 56 1.1k
Dongsheng Li China 22 346 0.7× 743 2.5× 222 1.1× 723 3.6× 91 0.5× 159 2.6k

Countries citing papers authored by Weiwei Xing

Since Specialization
Citations

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

Fields of papers citing papers by Weiwei Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiwei Xing

This figure shows the co-authorship network connecting the top 25 collaborators of Weiwei Xing. A scholar is included among the top collaborators of Weiwei Xing 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 Weiwei Xing. Weiwei Xing 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.
Xing, Weiwei, et al.. (2025). Optimal Multibitrate Video Caching and Processing in Edge Computing: A Stackelberg Game Approach. IEEE Internet of Things Journal. 12(13). 25059–25076. 1 indexed citations
2.
Yao, Xin‐Wei, et al.. (2024). GTDIM: Grid-based Two-stage Dynamic Incentive Mechanism for Mobile Crowd Sensing. Pervasive and Mobile Computing. 103. 101964–101964. 2 indexed citations
3.
Wang, Zihao, Shangchun Fan, Dezhi Zheng, et al.. (2024). Enhancing Image Contrast in Breast USCT Reflection Imaging Using Coherence Factor Beamforming. Journal of Physics Conference Series. 2822(1). 12020–12020.
4.
Su, Zhenpeng, Zijia Lin, Hui Chen, et al.. (2024). MiLe Loss: a New Loss for Mitigating the Bias of Learning Difficulties in Generative Language Models. 250–262. 1 indexed citations
5.
Xing, Weiwei, Ling Cai, Wenrong Xia, et al.. (2024). A novel adhesive with exceptional underwater adhesion properties, capable of complete curing in aquatic environments. Journal of Materials Research and Technology. 33. 8758–8767.
6.
Liu, Xinping, Yanan Wang, Yongqi Zhao, et al.. (2024). Establishment and application of a rapid visualization method for detecting Vibrio parahaemolyticus nucleic acid. SHILAP Revista de lepidopterología. 3(2). 100111–100111. 7 indexed citations
8.
Zhang, Dalin, et al.. (2024). MASTER: Multi-Source Transfer Weighted Ensemble Learning for Multiple Sources Cross-Project Defect Prediction. IEEE Transactions on Software Engineering. 50(5). 1281–1305. 6 indexed citations
9.
Wei, Xiang, et al.. (2024). DCRP: Class-Aware Feature Diffusion Constraint and Reliable Pseudo-Labeling for Imbalanced Semi-Supervised Learning. IEEE Transactions on Multimedia. 26. 7146–7159. 1 indexed citations
10.
Xing, Weiwei, et al.. (2023). Dual-norm based dynamic graph diffusion network for temporal prediction. Information Processing & Management. 60(4). 103387–103387. 6 indexed citations
11.
Wang, Pengxu, Qing Liu, Wenliang Fu, et al.. (2023). Modulation of non-covalent wet adhesion and cohesion via proximally immobilized non-lysine pair structure. Chemical Engineering Journal. 461. 141738–141738. 6 indexed citations
12.
Gao, Ruipeng, et al.. (2022). CTTE: Customized Travel Time Estimation via Mobile Crowdsensing. IEEE Transactions on Intelligent Transportation Systems. 23(10). 19335–19347. 21 indexed citations
13.
Wei, Xiang, et al.. (2022). JointGraph: joint pre-training framework for traffic forecasting with spatial-temporal gating diffusion graph attention network. Applied Intelligence. 53(11). 13723–13740. 5 indexed citations
14.
Zhang, Jian, et al.. (2021). Adaptive spatial-temporal graph attention networks for traffic flow forecasting. Applied Intelligence. 52(4). 4300–4316. 52 indexed citations
15.
Gao, Ruipeng, et al.. (2021). How Many Bumps in Your City? Personalized Bump Seeker With Mobile Crowdsensing. IEEE Transactions on Instrumentation and Measurement. 71. 1–12. 5 indexed citations
16.
Gao, Ruipeng, et al.. (2021). Glow in the Dark: Smartphone Inertial Odometry for Vehicle Tracking in GPS Blocked Environments. IEEE Internet of Things Journal. 8(16). 12955–12967. 24 indexed citations
17.
Xing, Weiwei, et al.. (2021). NoisyOTNet: A Robust Real-Time Vehicle Tracking Model for Traffic Surveillance. IEEE Transactions on Circuits and Systems for Video Technology. 32(4). 2107–2119. 14 indexed citations
18.
Xing, Weiwei, et al.. (2020). STGAT: Spatial-Temporal Graph Attention Networks for Traffic Flow Forecasting. IEEE Access. 8. 134363–134372. 76 indexed citations
19.
Lu, Wei, et al.. (2018). NPIY : A novel partitioner for improving mapreduce performance. Journal of Visual Languages & Computing. 46. 1–11. 6 indexed citations
20.
Yu, Qi, Siqi Ma, Shirui Pan, et al.. (2018). A Hybrid User Experience Evaluation Method for Mobile Games. IEEE Access. 6. 49067–49079. 16 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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