Linshan Wu

679 total citations
26 papers, 427 citations indexed

About

Linshan Wu is a scholar working on Surfaces, Coatings and Films, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Linshan Wu has authored 26 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surfaces, Coatings and Films, 7 papers in Electrical and Electronic Engineering and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Linshan Wu's work include Surface Modification and Superhydrophobicity (7 papers), Advanced Neural Network Applications (5 papers) and GaN-based semiconductor devices and materials (4 papers). Linshan Wu is often cited by papers focused on Surface Modification and Superhydrophobicity (7 papers), Advanced Neural Network Applications (5 papers) and GaN-based semiconductor devices and materials (4 papers). Linshan Wu collaborates with scholars based in China, Hong Kong and Italy. Linshan Wu's co-authors include Zhiguang Guo, Leyuan Fang, He Min, Weimin Liu, Peng Liu, Xingxin He, Zhun Zhong, Jiayi Ma, Jun Yue and Ming Lu and has published in prestigious journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and Advanced Functional Materials.

In The Last Decade

Linshan Wu

24 papers receiving 417 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Linshan Wu China 11 128 100 99 86 80 26 427
Er Li China 12 120 0.9× 156 1.6× 87 0.9× 9 0.1× 63 0.8× 27 518
Chen Hong China 9 24 0.2× 52 0.5× 93 0.9× 25 0.3× 85 1.1× 21 369
Moxin Li China 8 20 0.2× 42 0.4× 21 0.2× 32 0.4× 88 1.1× 29 437
Hong Ji China 12 137 1.1× 93 0.9× 9 0.1× 54 0.6× 118 1.5× 51 425
Wenjun Wu China 10 88 0.7× 122 1.2× 15 0.2× 47 0.5× 13 0.2× 37 410
Chao‐Wei Chen China 12 22 0.2× 40 0.4× 8 0.1× 35 0.4× 142 1.8× 37 671
Haowei Hu China 12 33 0.3× 12 0.1× 43 0.4× 5 0.1× 64 0.8× 37 412
Hanwei Zhang China 8 41 0.3× 24 0.2× 6 0.1× 14 0.2× 67 0.8× 17 326
Zhiyong Duan China 11 26 0.2× 37 0.4× 10 0.1× 23 0.3× 249 3.1× 64 429

Countries citing papers authored by Linshan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Linshan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linshan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Linshan Wu. A scholar is included among the top collaborators of Linshan Wu 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 Linshan Wu. Linshan Wu 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.
2.
Wu, Linshan, et al.. (2025). Large-Scale 3D Medical Image Pre-Training With Geometric Context Priors. IEEE Transactions on Pattern Analysis and Machine Intelligence. 48(3). 3801–3818. 1 indexed citations
3.
Wu, Linshan, Zhun Zhong, Jiayi Ma, et al.. (2025). Modeling the Label Distributions for Weakly-Supervised Semantic Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(8). 6290–6306. 1 indexed citations
4.
Wu, Linshan, Yanning Zhou, Luyang Luo, et al.. (2025). Large-scale generative tumor synthesis in computed tomography images for improving tumor recognition. Nature Communications. 16(1). 11053–11053.
5.
Liu, Jianhua, Fuli Zhang, Xuerui Zhang, et al.. (2025). A Novel Calculation Method for Adhesive Contact Interactions of Three-Dimensional Randomly Rough Surfaces. Acta Mechanica Solida Sinica. 38(6). 943–950. 1 indexed citations
6.
Wu, Linshan, et al.. (2025). Bionic learning in MXene-based actuators: An emerging frontier. Advances in Colloid and Interface Science. 342. 103525–103525. 3 indexed citations
7.
Liu, Peng, Linshan Wu, Xiulin Huang, & Zhiguang Guo. (2024). LDHs/TA-modified hybridized PAN/PVDF-HPF electrospinning membrane for emulsion separation. Surfaces and Interfaces. 46. 104130–104130. 9 indexed citations
8.
Zhang, Xin‐Xiang, Yanrong Cao, Chuan Chen, et al.. (2024). Study on Single Event Effects of Enhanced GaN HEMT Devices under Various Conditions. Micromachines. 15(8). 950–950. 5 indexed citations
9.
Wu, Linshan, et al.. (2024). VoCo: A Simple-Yet-Effective Volume Contrastive Learning Framework for 3D Medical Image Analysis. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 22873–22882. 19 indexed citations
10.
Liu, Peng, et al.. (2024). High crystalline LDHs with strong adsorption properties effectively remove oil and micro-nano plastics. Journal of Cleaner Production. 437. 140628–140628. 20 indexed citations
11.
Fu, Ye, Linshan Wu, Shulun Ai, Zhiguang Guo, & Weimin Liu. (2023). Bionic collection system for fog-dew harvesting inspired from desert beetle. Nano Today. 52. 101979–101979. 43 indexed citations
12.
Liu, Peng, et al.. (2023). Rapid preparation of Ni/Fe-LDH@ stainless steel mesh with interfacial emulsion breaking effect for efficient oil-in-water emulsion separation. Colloids and Surfaces A Physicochemical and Engineering Aspects. 681. 132792–132792. 3 indexed citations
13.
Wang, Zhiheng, Yanrong Cao, Xin‐Xiang Zhang, et al.. (2023). Simulation of Single-Event Transient Effect for GaN High-Electron-Mobility Transistor. Micromachines. 14(10). 1948–1948. 6 indexed citations
14.
Wu, Linshan, Leyuan Fang, Xingxin He, et al.. (2023). Querying Labeled for Unlabeled: Cross-Image Semantic Consistency Guided Semi-Supervised Semantic Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(7). 1–18. 63 indexed citations
15.
He, Min, et al.. (2023). A Multi-Level Label-Aware Semi-Supervised Framework for Remote Sensing Scene Classification. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–12. 15 indexed citations
16.
Cao, Yanrong, Zhiheng Wang, Xin‐Xiang Zhang, et al.. (2023). Effect of P-Type GaN Buried Layer on the Temperature of AlGaN/GaN HEMTs. Micromachines. 14(7). 1457–1457. 6 indexed citations
17.
Wu, Linshan & Zhiguang Guo. (2023). A multifunctional silver@titanium dioxide composite cloth for oil and water separation. New Journal of Chemistry. 47(14). 6895–6902. 1 indexed citations
18.
Wu, Linshan, Ming Lu, & Leyuan Fang. (2022). Deep Covariance Alignment for Domain Adaptive Remote Sensing Image Segmentation. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–11. 35 indexed citations
19.
Wu, Linshan, Leyuan Fang, Jun Yue, et al.. (2022). Deep Bilateral Filtering Network for Point-Supervised Semantic Segmentation in Remote Sensing Images. IEEE Transactions on Image Processing. 31. 7419–7434. 60 indexed citations
20.
Wu, Linshan, Zhiguang Guo, & Weimin Liu. (2022). Surface behaviors of droplet manipulation in microfluidics devices. Advances in Colloid and Interface Science. 308. 102770–102770. 31 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026