Zhenkun Wen

3.1k total citations · 2 hit papers
57 papers, 2.1k citations indexed

About

Zhenkun Wen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Zhenkun Wen has authored 57 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 19 papers in Artificial Intelligence and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Zhenkun Wen's work include Advanced Image and Video Retrieval Techniques (12 papers), Advanced Neural Network Applications (9 papers) and Metaheuristic Optimization Algorithms Research (8 papers). Zhenkun Wen is often cited by papers focused on Advanced Image and Video Retrieval Techniques (12 papers), Advanced Neural Network Applications (9 papers) and Metaheuristic Optimization Algorithms Research (8 papers). Zhenkun Wen collaborates with scholars based in China, Hong Kong and Australia. Zhenkun Wen's co-authors include Huisi Wu, Baiying Lei, Zexuan Zhu, Zhi-An Huang, Jing Qin, Laizhong Cui, Nan Lu, Guiying Yan, Guilian Chen and Wei Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Zhenkun Wen

52 papers receiving 2.1k citations

Hit Papers

FAT-Net: Feature adaptive transformers for automated skin... 2021 2026 2022 2024 2021 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhenkun Wen China 21 686 642 508 389 286 57 2.1k
Sudipta Roy India 31 572 0.8× 632 1.0× 349 0.7× 703 1.8× 216 0.8× 147 2.7k
Saurav Mallik India 27 447 0.7× 195 0.3× 832 1.6× 257 0.7× 289 1.0× 188 2.1k
Hamid Alinejad‐Rokny Australia 22 635 0.9× 238 0.4× 313 0.6× 218 0.6× 120 0.4× 104 1.7k
V. Mani India 29 626 0.9× 322 0.5× 261 0.5× 191 0.5× 63 0.2× 83 3.0k
Minghui Wang China 23 661 1.0× 263 0.4× 995 2.0× 411 1.1× 468 1.6× 100 2.0k
Binh P. Nguyen New Zealand 24 418 0.6× 310 0.5× 375 0.7× 207 0.5× 40 0.1× 118 1.8k
Wen Li China 29 1.7k 2.4× 2.0k 3.1× 163 0.3× 202 0.5× 180 0.6× 138 3.2k
Mai S. Mabrouk Egypt 18 1.7k 2.5× 437 0.7× 383 0.8× 231 0.6× 34 0.1× 103 3.6k
Yue Deng China 24 647 0.9× 596 0.9× 368 0.7× 156 0.4× 152 0.5× 90 2.7k
Sheraz Ahmed Germany 23 886 1.3× 802 1.2× 231 0.5× 65 0.2× 64 0.2× 110 2.2k

Countries citing papers authored by Zhenkun Wen

Since Specialization
Citations

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

Fields of papers citing papers by Zhenkun Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenkun Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenkun Wen. A scholar is included among the top collaborators of Zhenkun Wen 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 Zhenkun Wen. Zhenkun Wen 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.
Lu, Yuwu, et al.. (2024). Heterogeneous domain adaptation via incremental discriminative knowledge consistency. Pattern Recognition. 156. 110857–110857. 2 indexed citations
2.
Wu, Huisi, et al.. (2024). Cartoon Animation Outpainting With Region-Guided Motion Inference. IEEE Transactions on Visualization and Computer Graphics. 31(4). 2086–2100. 1 indexed citations
3.
Zheng, Jing, et al.. (2024). Long sequence time-series forecasting method based on multi-scale segmentation. SHILAP Revista de lepidopterología. 41(2). 232–240.
4.
Wu, Huisi, et al.. (2023). Shading-Guided Manga Screening From Reference. IEEE Transactions on Visualization and Computer Graphics. 30(8). 4941–4954. 1 indexed citations
5.
Wu, Huisi, et al.. (2023). Feature Masking on Non-Overlapping Regions for Detecting Dense Cells in Blood Smear Image. IEEE Transactions on Medical Imaging. 42(6). 1668–1680. 7 indexed citations
6.
Li, Chengze, et al.. (2022). Vectorizing Line Drawings of Arbitrary Thickness via Boundary‐based Topology Reconstruction. Computer Graphics Forum. 41(2). 433–445. 4 indexed citations
7.
Wu, Huisi, et al.. (2022). Semi-supervised segmentation of echocardiography videos via noise-resilient spatiotemporal semantic calibration and fusion. Medical Image Analysis. 78. 102397–102397. 41 indexed citations
8.
Huang, Haiming, et al.. (2021). Trigger-Based Dexterous Operation with Multimodal Sensors for Soft Robotic Hand. Applied Sciences. 11(19). 8978–8978. 2 indexed citations
9.
Wu, Huisi, et al.. (2021). SCS-Net: A Scale and Context Sensitive Network for Retinal Vessel Segmentation. Medical Image Analysis. 70. 102025–102025. 180 indexed citations breakdown →
11.
Wu, Huisi, et al.. (2018). Automatic texture exemplar extraction based on global and local textureness measures. Computational Visual Media. 4(2). 173–184. 6 indexed citations
12.
You, Zhu‐Hong, Zhi-An Huang, Zexuan Zhu, et al.. (2017). PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction. PLoS Computational Biology. 13(3). e1005455–e1005455. 325 indexed citations
13.
Cui, Laizhong, et al.. (2017). A novel context-aware recommendation algorithm with two-level SVD in social networks. Future Generation Computer Systems. 86. 1459–1470. 38 indexed citations
14.
Wang, Fan, Zhi-An Huang, Xing Chen, et al.. (2017). LRLSHMDA: Laplacian Regularized Least Squares for Human Microbe–Disease Association prediction. Scientific Reports. 7(1). 7601–7601. 106 indexed citations
15.
Huang, Zhi-An, Xing Chen, Zexuan Zhu, et al.. (2017). PBHMDA: Path-Based Human Microbe-Disease Association Prediction. Frontiers in Microbiology. 8. 233–233. 76 indexed citations
16.
Huang, Zhi-An, et al.. (2017). LW-FQZip 2: a parallelized reference-based compression of FASTQ files. BMC Bioinformatics. 18(1). 179–179. 19 indexed citations
17.
Han, Long, et al.. (2017). Construction and biocompatibility of a thin type I/II collagen composite scaffold. Cell and Tissue Banking. 19(1). 47–59. 23 indexed citations
18.
Cui, Laizhong, et al.. (2016). A novel multi-objective evolutionary algorithm for recommendation systems. Journal of Parallel and Distributed Computing. 103. 53–63. 57 indexed citations
19.
Li, Genghui, Laizhong Cui, Xianghua Fu, et al.. (2016). Artificial bee colony algorithm with gene recombination for numerical function optimization. Applied Soft Computing. 52. 146–159. 80 indexed citations
20.
Wu, Huisi, Yi‐Lin Wu, Shenglong Zhang, Ping Li, & Zhenkun Wen. (2016). Cartoon image segmentation based on improved SLIC superpixels and adaptive region propagation merging. 277–281. 17 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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