Xiaomin Wu

1.9k citations
28 papers · 1.5k · 1 hit paper · h-index 12

Impact in

Papers in

Xiaomin Wu

27 papers receiving 1.4k citations

Xiaomin Wu's Hit Papers

Knowledge‐Based Modeling of Material Behavior with Neural Networks 1991 · 608 citations
6080+11+23Years since publication200400600

Peers

Xiaomin Wu
Comparison fields: 5 of 126
  • Civil and Structural Engineering 730
  • Mechanics of Materials 363
  • Media Technology 126
  • Statistical and Nonlinear Physics 125
  • Statistics, Probability and Uncertainty 55
Replace Xiaofei Zhang with:
Xiaofei Zhang China
Jinglin Zhang China
Wenxiang Xu China
Qiang Zheng China
Qian Chen China
Chao Sun China
Xiaomin Wu relative to Xiaofei Zhang China Xiaofei Zhang's profile →
Citations per field
00.5×3.8×
Xiaofei Zhang · 1×
Citations per year

Countries citing papers authored by Xiaomin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaomin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaomin 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 Xiaomin Wu Line = papers co-authored together Xiaomin Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Knowledge‐Based Modeling of Material Behavior with Neural Networks
Hit paper breakdown →
1991608
2 1992399
3 2017228
4 202428
5 202325
6 199822
7 202221
8 202219
9 202215
10 202313
11 202312
12 201712
13 202311
14 20158
15 20235
16 20235
17 20154
18 20154
19 20233
20 20193

About Xiaomin Wu

Xiaomin Wu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Renewable Energy, Sustainability and the Environment, Civil and Structural Engineering and Media Technology, having authored 28 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Photocatalysis Techniques (5 papers), Neural Networks and Applications (4 papers), Advanced Image Processing Techniques (4 papers), Image Processing Techniques and Applications (3 papers), Structural Health Monitoring Techniques (3 papers), Advanced Neural Network Applications (2 papers), Natural Language Processing Techniques (2 papers) and TiO2 Photocatalysis and Solar Cells (2 papers). The work is most often cited by research in Civil and Structural Engineering (730 citations), Mechanics of Materials (363 citations), Media Technology (126 citations), Statistical and Nonlinear Physics (125 citations) and Statistics, Probability and Uncertainty (55 citations). Xiaomin Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include James H. Garrett, J. Ghaboussi, Xingrui Yu, Chunbo Luo, Peng Ren, Anthony T.C. Goh, Feng Jiang, Xiufan Zhang, Weidong Zhao and Yunxiang Zheng. Their work appears in journals such as Journal of Engineering Mechanics, Advanced Science, Applied Sciences, Journal of Structural Engineering and Knowledge-Based Systems.

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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