Muwei Jian

3.5k total citations · 1 hit paper
137 papers, 2.6k citations indexed

About

Muwei Jian is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Muwei Jian has authored 137 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 109 papers in Computer Vision and Pattern Recognition, 21 papers in Computer Graphics and Computer-Aided Design and 18 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Muwei Jian's work include Advanced Image and Video Retrieval Techniques (41 papers), Visual Attention and Saliency Detection (32 papers) and Image Retrieval and Classification Techniques (25 papers). Muwei Jian is often cited by papers focused on Advanced Image and Video Retrieval Techniques (41 papers), Visual Attention and Saliency Detection (32 papers) and Image Retrieval and Classification Techniques (25 papers). Muwei Jian collaborates with scholars based in China, United Kingdom and Hong Kong. Muwei Jian's co-authors include Junyu Dong, Kin‐Man Lam, Gai‐Ge Wang, Hui Yu, Yilong Yin, Linlin Shen, Xiushan Nie, Hanjiang Luo, Xiangyu Liu and Keqin Li and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Sensors.

In The Last Decade

Muwei Jian

130 papers receiving 2.5k citations

Hit Papers

ConvUNeXt: An efficient convolution neural network for me... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muwei Jian China 29 1.8k 412 392 255 135 137 2.6k
Georgios Tziritas Greece 26 2.2k 1.2× 332 0.8× 480 1.2× 246 1.0× 108 0.8× 73 2.9k
Zhijun Fang China 27 2.0k 1.1× 456 1.1× 650 1.7× 225 0.9× 41 0.3× 162 3.0k
Yanwen Guo China 22 1.9k 1.1× 516 1.3× 703 1.8× 118 0.5× 296 2.2× 119 2.8k
Zheng-Ning Liu China 7 1.3k 0.7× 379 0.9× 583 1.5× 218 0.9× 74 0.5× 10 2.5k
Lifeng He China 18 1.1k 0.6× 344 0.8× 287 0.7× 280 1.1× 28 0.2× 105 2.0k
Meng-Hao Guo China 7 1.3k 0.7× 382 0.9× 591 1.5× 221 0.9× 64 0.5× 23 2.6k
S.M. Yamany United States 12 1.4k 0.8× 523 1.3× 317 0.8× 191 0.7× 52 0.4× 27 1.8k
Camille Couprie France 12 1.4k 0.8× 270 0.7× 555 1.4× 151 0.6× 28 0.2× 23 2.3k
Zichen Zhang China 11 858 0.5× 213 0.5× 423 1.1× 188 0.7× 28 0.2× 40 1.8k
Masood Dehghan Singapore 11 1.8k 1.0× 409 1.0× 368 0.9× 255 1.0× 35 0.3× 27 2.8k

Countries citing papers authored by Muwei Jian

Since Specialization
Citations

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

Fields of papers citing papers by Muwei Jian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muwei Jian

This figure shows the co-authorship network connecting the top 25 collaborators of Muwei Jian. A scholar is included among the top collaborators of Muwei Jian 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 Muwei Jian. Muwei Jian 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.
Jian, Muwei, et al.. (2025). A spatiotemporal model for urban taxi Origin–Destination prediction based on Multi-hop GCN and Hierarchical LSTM. Alexandria Engineering Journal. 128. 905–917.
2.
Jian, Muwei, et al.. (2024). Underwater object detection and datasets: a survey. 2(1). 15 indexed citations
3.
Jian, Muwei, Haoran Zhang, Hongyu Chen, et al.. (2024). A Cross Spatio-Temporal Pathology-based Lung Nodule Dataset. Scientific Data. 11(1). 1007–1007. 2 indexed citations
4.
Jian, Muwei, et al.. (2024). VascuConNet: an enhanced connectivity network for vascular segmentation. Medical & Biological Engineering & Computing. 62(11). 3543–3554. 3 indexed citations
5.
Jian, Muwei, Tao Chen, Haoran Zhang, et al.. (2024). HRU-Net: A high-resolution convolutional neural network for esophageal cancer radiotherapy target segmentation. Computer Methods and Programs in Biomedicine. 250. 108177–108177. 6 indexed citations
6.
Jian, Muwei, Hongyu Chen, Tao Chen, Xiaoguang Li, & Gai‐Ge Wang. (2023). Triple-DRNet: A triple-cascade convolution neural network for diabetic retinopathy grading using fundus images. Computers in Biology and Medicine. 155. 106631–106631. 42 indexed citations
7.
Jian, Muwei, et al.. (2023). YOLO-AA: an efficient object detection model via strengthening fusion context information. Multimedia Tools and Applications. 83(4). 10661–10676. 3 indexed citations
8.
Jian, Muwei, et al.. (2023). Dual-Branch-UNet: A Dual-Branch Convolutional Neural Network for Medical Image Segmentation. Computer Modeling in Engineering & Sciences. 137(1). 705–716. 16 indexed citations
9.
Jian, Muwei, et al.. (2023). Inter-slice Correlation Weighted Fusion for Universal Lesion Detection. 636–643. 1 indexed citations
10.
Jian, Muwei, et al.. (2023). AMSUnet: A neural network using atrous multi-scale convolution for medical image segmentation. Computers in Biology and Medicine. 162. 107120–107120. 44 indexed citations
11.
Jian, Muwei, et al.. (2023). DBPNDNet: dual-branch networks using 3DCNN toward pulmonary nodule detection. Medical & Biological Engineering & Computing. 62(2). 563–573. 7 indexed citations
12.
Chen, Hongyu, Tao Chen, Wenjing Xu, et al.. (2023). Multi-Scale Class Attention Network for Diabetes Retinopathy Grading. 100012–100012. 6 indexed citations
13.
Jian, Muwei, et al.. (2023). Enhanced Temporal Correlation for Universal Lesion Detection. Computer Modeling in Engineering & Sciences. 138(3). 3051–3063.
14.
Xu, Cheng, et al.. (2023). DSA: Deformable Segmentation Attention for Multi-Scale Fisheye Image Segmentation. Electronics. 12(19). 4059–4059. 1 indexed citations
15.
Jian, Muwei, et al.. (2023). 3DAGNet: 3D Deep Attention and Global Search Network for Pulmonary Nodule Detection. Electronics. 12(10). 2333–2333. 9 indexed citations
16.
Yang, Chengdong, et al.. (2022). Leaderless Consensus of Semilinear Hyperbolic Multiagent Systems with Semipositive or Seminegative Definite Convection. Discrete Dynamics in Nature and Society. 2022(1). 1 indexed citations
17.
Zhao, Bin, et al.. (2022). Boundary Coupling for Consensus of Nonlinear Leaderless Stochastic Multi-Agent Systems Based on PDE-ODEs. Mathematics. 10(21). 4111–4111. 2 indexed citations
18.
Gao, Feng, Xiaopeng Liu, Junyu Dong, Guoqiang Zhong, & Muwei Jian. (2017). Change Detection in SAR Images Based on Deep Semi-NMF and SVD Networks. Remote Sensing. 9(5). 435–435. 39 indexed citations
19.
Wang, Shengke, et al.. (2017). A Fast Internal Wave Detection Method Based on PCANet for Ocean Monitoring. Journal of Intelligent Systems. 28(1). 103–113. 15 indexed citations
20.
Jian, Muwei. (2008). Correction of non-uniform illumination for 3D surface heightmap reconstruction. Computer Engineering and Applications Journal. 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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