Shengjin Wang

20.4k total citations · 2 hit papers
239 papers, 8.8k citations indexed

About

Shengjin Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Materials Chemistry. According to data from OpenAlex, Shengjin Wang has authored 239 papers receiving a total of 8.8k indexed citations (citations by other indexed papers that have themselves been cited), including 158 papers in Computer Vision and Pattern Recognition, 47 papers in Artificial Intelligence and 38 papers in Materials Chemistry. Recurrent topics in Shengjin Wang's work include Video Surveillance and Tracking Methods (56 papers), Advanced Image and Video Retrieval Techniques (54 papers) and Human Pose and Action Recognition (39 papers). Shengjin Wang is often cited by papers focused on Video Surveillance and Tracking Methods (56 papers), Advanced Image and Video Retrieval Techniques (54 papers) and Human Pose and Action Recognition (39 papers). Shengjin Wang collaborates with scholars based in China, United States and Australia. Shengjin Wang's co-authors include Liang Zheng, Qi Tian, Lu Tian, Jingdong Wang, Liyue Shen, Yali Li, Dechang Jia, Zhihua Yang, Xiaoming Duan and Ming–Hsuan Yang and has published in prestigious journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Shengjin Wang

229 papers receiving 8.5k citations

Hit Papers

Scalable Person Re-identification: A Benchmark 2015 2026 2018 2022 2015 2019 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shengjin Wang China 40 6.6k 1.8k 1.1k 820 715 239 8.8k
Li Cheng China 38 2.8k 0.4× 441 0.2× 837 0.8× 318 0.4× 260 0.4× 222 5.5k
Ajoy Kumar Ray India 30 751 0.1× 496 0.3× 557 0.5× 658 0.8× 320 0.4× 127 3.3k
Wei An China 35 2.0k 0.3× 232 0.1× 274 0.3× 212 0.3× 108 0.2× 220 4.7k
Mingyi He China 33 2.1k 0.3× 481 0.3× 341 0.3× 974 1.2× 51 0.1× 286 5.1k
Jie Zhao China 36 991 0.2× 3.0k 1.7× 353 0.3× 232 0.3× 39 0.1× 670 6.6k
Ying Sun China 37 1.3k 0.2× 504 0.3× 693 0.6× 211 0.3× 29 0.0× 180 4.0k
Xiaolin Wu Canada 34 3.6k 0.5× 329 0.2× 445 0.4× 234 0.3× 41 0.1× 239 5.4k
Oral Büyüköztürk United States 47 986 0.2× 400 0.2× 314 0.3× 507 0.6× 61 0.1× 155 10.0k
Song Zhang United States 57 8.9k 1.4× 1.2k 0.7× 222 0.2× 198 0.2× 22 0.0× 336 12.9k
Baoquan Chen China 52 4.3k 0.7× 514 0.3× 653 0.6× 917 1.1× 9 0.0× 256 9.2k

Countries citing papers authored by Shengjin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shengjin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengjin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shengjin Wang. A scholar is included among the top collaborators of Shengjin Wang 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 Shengjin Wang. Shengjin Wang 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.
Li, Yali, et al.. (2025). Beyond Horizontal Paradigm: Circle Anchors for Oriented Object Detection. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 21900–21909.
2.
Wu, Zhicheng, et al.. (2024). Enhancing sp3 formation in DLC on low thermal conductivity substrate: Interval deposition minimizing ion energy sensitivity. Diamond and Related Materials. 147. 111274–111274. 3 indexed citations
3.
Yang, Shu, Yali Li, & Shengjin Wang. (2024). UPL-Net: Uncertainty-aware prompt learning network for semi-supervised action recognition. Neurocomputing. 619. 129126–129126. 1 indexed citations
4.
Wu, Xiaoyu, et al.. (2024). Violent Video Recognition Based on Global-Local Visual and Audio Contrastive Learning. IEEE Signal Processing Letters. 31. 476–480. 5 indexed citations
5.
Zhang, Zhewei, et al.. (2024). Contrastive Unsupervised Representation Learning With Optimize-Selected Training Samples. IEEE Transactions on Neural Networks and Learning Systems. 36(5). 8646–8656.
6.
Wu, Xiaoyu, et al.. (2024). Learning Prompt-Enhanced Context Features for Weakly-Supervised Video Anomaly Detection. IEEE Transactions on Image Processing. 33. 4923–4936. 30 indexed citations
8.
Shen, Anran, et al.. (2023). Spillover effects between internet financial industry and traditional financial industry: Evidence from the Chinese stock market. Pacific-Basin Finance Journal. 79. 101971–101971. 9 indexed citations
9.
Li, Yang, et al.. (2023). Learning Adversarially Robust Object Detector with Consistency Regularization in Remote Sensing Images. Remote Sensing. 15(16). 3997–3997. 1 indexed citations
10.
Zhang, Zhewei, et al.. (2023). Amortized Bayesian Meta-Learning with Accelerated Gradient Descent Steps. Applied Sciences. 13(15). 8653–8653. 1 indexed citations
11.
Ji, Mengqi, et al.. (2021). SurRF: Unsupervised Multi-View Stereopsis by Learning Surface Radiance Field. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(11). 7912–7927. 7 indexed citations
12.
Yuan, Yachao, et al.. (2020). EcRD: Edge-Cloud Computing Framework for Smart Road Damage Detection and Warning. IEEE Internet of Things Journal. 8(16). 12734–12747. 26 indexed citations
13.
Sun, Yifan, Liang Zheng, Yali Li, et al.. (2019). Learning Part-based Convolutional Features for Person Re-Identification. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(3). 902–917. 97 indexed citations
14.
Zhang, Juyong, et al.. (2019). Real-Time Head Pose Estimation and Face Modeling From a Depth Image. IEEE Transactions on Multimedia. 21(10). 2473–2481. 32 indexed citations
15.
Cheng, Jingchun, Yi‐Hsuan Tsai, Wei-Chih Hung, Shengjin Wang, & Ming–Hsuan Yang. (2018). Fast and Accurate Online Video Object Segmentation via Tracking Parts. 7415–7424. 148 indexed citations
16.
Li, Yali, et al.. (2018). Unidirectional Representation-Based Efficient Dictionary Learning. IEEE Transactions on Circuits and Systems for Video Technology. 30(1). 59–74. 5 indexed citations
17.
Sun, Yifan, Liang Zheng, Yi Yang, Qi Tian, & Shengjin Wang. (2017). Beyond Part Models: Person Retrieval with Refined Part Pooling.. arXiv (Cornell University). 127 indexed citations
18.
Wang, Shengjin. (2005). Recognition of multiple 3-D objects based on Markov random field models. Journal of Tsinghua University(Science and Technology). 1 indexed citations
19.
Wang, Shengjin, Makoto Sato, & Hiroshi Kawarada. (1997). Multiresolution model construction from scattered range data by hierarchical cube-based segmentation. IEICE Transactions on Information and Systems. 80(8). 780–787.
20.
Wang, Shengjin, et al.. (1996). Position Measurement Improvement on a Force Display Device Using Tensed Strings. IEICE Transactions on Information and Systems. 79(6). 792–798. 3 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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