Linshan Wu

24 papers receiving 417 citations

Peers

Linshan Wu
Comparison fields: 5 of 55
  • Surfaces, Coatings and Films 99
  • Media Technology 100
  • Computer Vision and Pattern Recognition 128
  • Artificial Intelligence 86
  • Renewable Energy, Sustainability and the Environment 38
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Er Li China
Hong Ji China
Chen Hong China
Moxin Li China
Zhiyong Duan China
Hanwei Zhang China
Weihua Xue China
James P. Horwath United States
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Linshan Wu relative to Er Li China Er Li's profile →
Citations per field
00.5×11.6×
Er Li · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Linshan Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Linshan Wu Line = papers co-authored together Linshan Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202363
2 202260
3 202348
4 202343
5 202235
6 202231
7 202325
8 202420
9 202419
10 202315
11 201713
12 202210
13 20249
14 20237
15 20236
16 20236
17 20245
18 20233
19 20253
20 20252

About Linshan Wu

Linshan Wu is a scholar working on Surfaces, Coatings and Films, Condensed Matter Physics, Media Technology, Computer Vision and Pattern Recognition and Electronic, Optical and Magnetic Materials, having authored 26 papers that have together received 427 indexed citations. Recurring topics across this work include Surface Modification and Superhydrophobicity (7 papers), Advanced Neural Network Applications (5 papers), GaN-based semiconductor devices and materials (4 papers), Domain Adaptation and Few-Shot Learning (3 papers), Remote-Sensing Image Classification (3 papers), Supercapacitor Materials and Fabrication (3 papers), Advanced Sensor and Energy Harvesting Materials (3 papers) and Silicon Carbide Semiconductor Technologies (3 papers). The work is most often cited by research in Surfaces, Coatings and Films (99 citations), Media Technology (100 citations), Computer Vision and Pattern Recognition (128 citations), Artificial Intelligence (86 citations) and Renewable Energy, Sustainability and the Environment (38 citations). Linshan Wu has collaborated with scholars based in China, Hong Kong and Italy. Frequent co-authors include Zhiguang Guo, Leyuan Fang, He Min, Weimin Liu, Peng Liu, Xingxin He, Jiayi Ma, Zhun Zhong, Jun Yue and Ming Lu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, New Journal of Chemistry, IEEE Transactions on Geoscience and Remote Sensing, Advances in Colloid and Interface Science and Colloids and Surfaces A Physicochemical and Engineering Aspects.

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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