Weizhi Nie

3.3k total citations
153 papers, 2.4k citations indexed

About

Weizhi Nie is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Weizhi Nie has authored 153 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 123 papers in Computer Vision and Pattern Recognition, 52 papers in Computational Mechanics and 43 papers in Artificial Intelligence. Recurrent topics in Weizhi Nie's work include Advanced Image and Video Retrieval Techniques (54 papers), 3D Shape Modeling and Analysis (51 papers) and Human Pose and Action Recognition (35 papers). Weizhi Nie is often cited by papers focused on Advanced Image and Video Retrieval Techniques (54 papers), 3D Shape Modeling and Analysis (51 papers) and Human Pose and Action Recognition (35 papers). Weizhi Nie collaborates with scholars based in China, Singapore and United States. Weizhi Nie's co-authors include An-An Liu, Yuting Su, Ning Xu, Jie Nie, Yue Gao, Wenhui Li, Yongdong Zhang, Dan Song, Heyu Zhou and Sicheng Zhao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Weizhi Nie

142 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weizhi Nie China 27 1.7k 671 589 246 177 153 2.4k
Zizhao Zhang China 9 736 0.4× 840 1.3× 390 0.7× 63 0.3× 224 1.3× 13 1.9k
Chu‐Song Chen Taiwan 29 3.5k 2.0× 766 1.1× 188 0.3× 477 1.9× 183 1.0× 136 4.1k
Lubomir Bourdev United States 20 3.4k 2.0× 1.2k 1.8× 364 0.6× 152 0.6× 44 0.2× 28 3.9k
Ali Thabet Saudi Arabia 13 709 0.4× 643 1.0× 348 0.6× 79 0.3× 250 1.4× 26 1.6k
Haoxuan You United States 11 822 0.5× 839 1.3× 342 0.6× 56 0.2× 171 1.0× 17 1.7k
Ioannis Pratikakis Greece 37 3.9k 2.3× 611 0.9× 726 1.2× 270 1.1× 266 1.5× 130 4.7k
Pietro Pala Italy 24 2.2k 1.3× 324 0.5× 301 0.5× 160 0.7× 52 0.3× 108 2.5k
Sergey Tulyakov United States 23 1.2k 0.7× 245 0.4× 282 0.5× 57 0.2× 56 0.3× 90 1.9k
Changqing Zou China 20 959 0.6× 497 0.7× 295 0.5× 104 0.4× 157 0.9× 63 1.5k
Dacheng Tao Australia 19 2.1k 1.2× 655 1.0× 303 0.5× 72 0.3× 72 0.4× 26 2.6k

Countries citing papers authored by Weizhi Nie

Since Specialization
Citations

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

Fields of papers citing papers by Weizhi Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weizhi Nie

This figure shows the co-authorship network connecting the top 25 collaborators of Weizhi Nie. A scholar is included among the top collaborators of Weizhi Nie 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 Weizhi Nie. Weizhi Nie 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, Qiang, et al.. (2025). DCDL: Dual Causal Disentangled Learning for Zero-Shot Sketch-Based Image Retrieval. IEEE Transactions on Multimedia. 27. 5575–5590. 1 indexed citations
2.
Liu, Jing, et al.. (2025). What and Where: Semantic Grasping and Contextual Scanning for Moment Retrieval and Highlight Detection. IEEE Transactions on Circuits and Systems for Video Technology. 35(7). 7155–7166.
3.
Nie, Jie, et al.. (2024). Strong robust copy-move forgery detection network based on layer-by-layer decoupling refinement. Information Processing & Management. 61(3). 103685–103685. 10 indexed citations
4.
Ma, Yongtao, et al.. (2024). 3D shape knowledge graph for cross‐domain 3D shape retrieval. CAAI Transactions on Intelligence Technology. 9(5). 1199–1216. 2 indexed citations
5.
Su, Yuting, Yichen Wei, Weizhi Nie, Sicheng Zhao, & An-An Liu. (2024). Dynamic Causal Disentanglement Model for Dialogue Emotion Detection. IEEE Transactions on Affective Computing. 16(1). 1–14. 7 indexed citations
6.
Liu, Jing, et al.. (2023). Efficient Spatio-Temporal Video Grounding with Semantic-Guided Feature Decomposition. 4867–4876. 6 indexed citations
7.
Li, Qiang, et al.. (2023). Brain tumor image segmentation based on prior knowledge via transformer. International Journal of Imaging Systems and Technology. 33(6). 2073–2087. 3 indexed citations
8.
Li, Wenhui, et al.. (2023). Progressive Positive Association Framework for Image and Text Retrieval. 4807–4815. 1 indexed citations
9.
Wang, Teng, et al.. (2023). Self-supervised Image-based 3D Model Retrieval. ACM Transactions on Multimedia Computing Communications and Applications. 19(2). 1–18. 5 indexed citations
10.
Nie, Jie, et al.. (2023). A Multiscale Graph Convolutional Neural Network Framework for Fault Diagnosis of Rolling Bearing. IEEE Transactions on Instrumentation and Measurement. 72. 1–13. 28 indexed citations
11.
Nie, Weizhi, et al.. (2023). Temporal-Spatial Correlation Attention Network for Clinical Data Analysis in Intensive Care Unit. IEEE Transactions on Biomedical Engineering. 71(2). 583–595. 5 indexed citations
12.
Nie, Weizhi, Xin Wen, Jing Liu, & Yuting Su. (2022). Iterative Residual Feature Refinement Network for Bit-Depth Enhancement. IEEE Signal Processing Letters. 29. 1387–1391. 2 indexed citations
13.
Nie, Weizhi, et al.. (2021). I-GCN: Incremental Graph Convolution Network for Conversation Emotion Detection. IEEE Transactions on Multimedia. 24. 4471–4481. 41 indexed citations
14.
Nie, Weizhi, et al.. (2021). LIMAN: Local Information-Based Multiattention Network for 3D Shape Recognition. IEEE Multimedia. 29(1). 65–73. 1 indexed citations
15.
Xu, Ning, An-An Liu, Yongkang Wong, et al.. (2020). Scene Graph Inference via Multi-Scale Context Modeling. IEEE Transactions on Circuits and Systems for Video Technology. 31(3). 1031–1041. 24 indexed citations
16.
Xu, Ning, Hanwang Zhang, An-An Liu, et al.. (2019). Multi-Level Policy and Reward-Based Deep Reinforcement Learning Framework for Image Captioning. IEEE Transactions on Multimedia. 22(5). 1372–1383. 84 indexed citations
17.
Nie, Weizhi, et al.. (2018). Subgraph learning for graph matching. Pattern Recognition Letters. 130. 362–369. 7 indexed citations
18.
Nie, Weizhi, An-An Liu, Yue Gao, & Yuting Su. (2018). Hyper-Clique Graph Matching and Applications. IEEE Transactions on Circuits and Systems for Video Technology. 29(6). 1619–1630. 16 indexed citations
19.
Xu, Ning, An-An Liu, Yongkang Wong, et al.. (2018). Dual-Stream Recurrent Neural Network for Video Captioning. IEEE Transactions on Circuits and Systems for Video Technology. 29(8). 2482–2493. 98 indexed citations
20.
Nie, Weizhi, et al.. (2017). Modeling Temporal Information of Mitotic for Mitotic Event Detection. IEEE Transactions on Big Data. 3(4). 458–469. 13 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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