Xingming Wu

2.3k citations
31 papers · 1.8k · 1 hit paper · h-index 9

Impact in

Papers in

Xingming Wu

27 papers receiving 1.8k citations

Xingming Wu's Hit Papers

LSTM network: a deep learning approach for short‐term traffic forecast 2017 · 1.4k citations
1.4k0+3+6Years since publication4008001.2k

Peers

Xingming Wu
Comparison fields: 5 of 116
  • Transportation 582
  • Building and Construction 953
  • Control and Systems Engineering 530
  • Media Technology 151
  • Signal Processing 160
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Citations per field
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Citations per year

Countries citing papers authored by Xingming Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xingming Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
LSTM network: a deep learning approach for short‐term traffic forecast
Hit paper breakdown →
20171447
2 201988
3 201775
4 201826
5 202318
6 201817
7 201815
8 201113
9 201311
10 20139
11 20249
12 20147
13 20167
14 20187
15 20136
16 20135
17 20235
18 20245
19 20114
20 20103

About Xingming Wu

Xingming Wu is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Biomedical Engineering, Aerospace Engineering and Control and Systems Engineering, having authored 31 papers that have together received 1.8k indexed citations. Recurring topics across this work include Robotic Locomotion and Control (9 papers), Image Enhancement Techniques (7 papers), Advanced Image Processing Techniques (6 papers), Advanced Vision and Imaging (5 papers), Robotic Path Planning Algorithms (4 papers), Biomimetic flight and propulsion mechanisms (4 papers), Advanced Image Fusion Techniques (4 papers) and Bat Biology and Ecology Studies (3 papers). The work is most often cited by research in Transportation (582 citations), Building and Construction (953 citations), Control and Systems Engineering (530 citations), Media Technology (151 citations) and Signal Processing (160 citations). Xingming Wu has collaborated with scholars based in China, Singapore and United Kingdom. Frequent co-authors include Weihai Chen, Jingmeng Liu, Zheng Zhao, Peter C. Y. Chen, Zhengguo Li, Changyun Wen, Zhe Wei, Fei Kou, Jianhua Wang and Bin Huang. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Engineering Applications of Artificial Intelligence and IEEE Transactions on Multimedia.

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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