Chengjie Wang

8.8k total citations · 4 hit papers
144 papers, 4.0k citations indexed

About

Chengjie Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Chengjie Wang has authored 144 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Computer Vision and Pattern Recognition, 54 papers in Artificial Intelligence and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Chengjie Wang's work include Domain Adaptation and Few-Shot Learning (25 papers), Anomaly Detection Techniques and Applications (21 papers) and Advanced Neural Network Applications (20 papers). Chengjie Wang is often cited by papers focused on Domain Adaptation and Few-Shot Learning (25 papers), Anomaly Detection Techniques and Applications (21 papers) and Advanced Neural Network Applications (20 papers). Chengjie Wang collaborates with scholars based in China, United States and United Kingdom. Chengjie Wang's co-authors include Ying Tai, Jilin Li, Yabiao Wang, Feiyue Huang, Donghao Luo, Jiangning Zhang, Yanwei Fu, Chengming Xu, Haoxi Ran and Jun Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Chengjie Wang

135 papers receiving 3.9k 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.

Rethinking Counting and Localization in Crowds: A Purely Point-Based Framework

2021 198 citations Qingyu Song, Changan Wang et al. 2021 IEEE/CVF International Conference on Computer Vision (ICCV) profile →
Surface Representation for Point Clouds

2022 141 citations Chengjie Wang et al. profile →
Rethinking Mobile Block for Efficient Attention-based Models

2023 129 citations Jiangning Zhang, Xiangtai Li et al. profile →
Deep Industrial Image Anomaly Detection: A Survey

2024 108 citations Chengjie Wang, Feng Zheng et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chengjie Wang China	34	2.4k	1.6k	335	248	203	144	4.0k
Zhihui Li China	31	1.9k 0.8×	2.1k 1.3×	286 0.9×	256 1.0×	181 0.9×	131	4.4k
Yuxin Peng China	37	4.0k 1.7×	1.9k 1.2×	235 0.7×	244 1.0×	86 0.4×	210	5.1k
Qinfeng Shi Australia	35	3.4k 1.4×	1.9k 1.2×	544 1.6×	345 1.4×	259 1.3×	124	5.4k
Mingjing Li China	40	3.5k 1.5×	880 0.6×	552 1.6×	132 0.5×	101 0.5×	232	5.8k
Yahong Han China	31	2.2k 0.9×	1.3k 0.8×	254 0.8×	147 0.6×	123 0.6×	183	3.3k
Siwei Wang China	40	2.4k 1.0×	2.2k 1.4×	372 1.1×	201 0.8×	77 0.4×	196	4.7k
Naiyan Wang China	32	4.1k 1.7×	1.7k 1.1×	345 1.0×	295 1.2×	830 4.1×	62	6.1k
Kai Yu China	27	3.6k 1.5×	1.3k 0.8×	793 2.4×	363 1.5×	258 1.3×	69	4.9k
Haoliang Li China	31	2.2k 0.9×	949 0.6×	336 1.0×	216 0.9×	124 0.6×	162	4.0k
Yong Xu China	34	3.5k 1.4×	1.3k 0.9×	743 2.2×	335 1.4×	329 1.6×	156	5.4k

Countries citing papers authored by Chengjie Wang

Since Specialization

Citations

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

Fields of papers citing papers by Chengjie Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengjie Wang

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

Zhang, Jiangning, Xuhai Chen, Yabiao Wang, et al.. (2025). Exploring plain ViT features for multi-class unsupervised visual anomaly detection. Computer Vision and Image Understanding. 253. 104308–104308. 8 indexed citations

Zhao, Bo, et al.. (2025). Efficient multimodal large language models: a survey. SHILAP Revista de lepidopterología. 3(1). 2 indexed citations

Zhang, Jiangning, Zhucun Xue, Yabiao Wang, et al.. (2025). EMOv2: Pushing 5M Vision Model Frontier. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(11). 10560–10576. 1 indexed citations

Chen, Xu, Chengming Xu, Junwei Zhu, et al.. (2025). SVFR: A Unified Framework for Generalized Video Face Restoration. 7406–7415.

Ding, Qi, Junyao Gao, Shuguang Dou, et al.. (2025). Towards Universal Dataset Distillation via Task-Driven Diffusion. 10557–10566.

He, Haoyang, Jiangning Zhang, Hongxu Chen, et al.. (2024). A Diffusion-Based Framework for Multi-Class Anomaly Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 38(8). 8472–8480. 51 indexed citations

Wang, Ting, Yuanqiang Wang, Yujie Liu, et al.. (2024). Construction of Z-type In2O3@InP heterostructure with enhanced photo-assisted electrocatalytic water splitting for hydrogen production. International Journal of Hydrogen Energy. 64. 166–177. 4 indexed citations

Wang, Chengjie, et al.. (2024). SoftPatch+: Fully unsupervised anomaly classification and segmentation. Pattern Recognition. 161. 111295–111295. 4 indexed citations

Li, Jing, et al.. (2024). Hierarchical heterostructure regulated by nickel-iron oxyhydroxides on carbon-incorporated cobalt oxide nanorod arrays for efficient oxygen evolution reaction. International Journal of Hydrogen Energy. 92. 975–983. 1 indexed citations

10.

Liu, Yong, et al.. (2024). Beyond Prototypes: Semantic Anchor Regularization for Better Representation Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 38(3). 1887–1895. 7 indexed citations

11.

Zhang, Jiangning, Yabiao Wang, Chengjie Wang, et al.. (2024). Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 9221–9238. 7 indexed citations

12.

Wang, Yabiao, et al.. (2024). MambaGesture: Enhancing Co-Speech Gesture Generation with Mamba and Disentangled Multi-Modality Fusion. 10794–10803. 1 indexed citations

13.

Yang, Siqian, et al.. (2023). Clustered-patch Element Connection for Few-shot Learning. 991–998. 7 indexed citations

14.

Gu, Zhihao, Liang Liu, Xu Chen, et al.. (2023). Remembering Normality: Memory-guided Knowledge Distillation for Unsupervised Anomaly Detection. 16355–16363. 27 indexed citations

15.

Yang, Siqian, Tom Wu, Guannan Jiang, et al.. (2023). SpatialFormer: Semantic and Target Aware Attentions for Few-Shot Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 37(7). 8430–8437. 10 indexed citations

16.

Liu, Jianlin, et al.. (2023). NeRF-Loc: Visual Localization with Conditional Neural Radiance Field. 9385–9392. 13 indexed citations

17.

Zhang, Shanshan, Minghui Yue, Sihua Wang, et al.. (2023). Insights into the modification of physicochemical properties and digestibility of pea starch gels with barley β‐glucan. Journal of Food Science. 88(7). 2833–2844. 5 indexed citations

18.

Chen, Jiacheng, Bin-Bin Gao, Zongqing Lu, et al.. (2022). APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation. IEEE Transactions on Multimedia. 25. 4361–4373. 30 indexed citations

19.

Song, Qingyu, Changan Wang, Zhengkai Jiang, et al.. (2021). Rethinking Counting and Localization in Crowds: A Purely Point-Based Framework. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 3345–3354. 198 indexed citations breakdown →

20.

Liu, Liang, Jiangning Zhang, Ruifei He, et al.. (2020). Learning by Analogy: Reliable Supervision From Transformations for Unsupervised Optical Flow Estimation. 6488–6497. 110 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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