Xiang Wu

598 total citations
44 papers, 320 citations indexed

About

Xiang Wu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Xiang Wu has authored 44 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Xiang Wu's work include Advanced Image and Video Retrieval Techniques (6 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Neural dynamics and brain function (4 papers). Xiang Wu is often cited by papers focused on Advanced Image and Video Retrieval Techniques (6 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Neural dynamics and brain function (4 papers). Xiang Wu collaborates with scholars based in China, United States and Malaysia. Xiang Wu's co-authors include Juyang Weng, Khin Wee Lai, Samiappan Dhanalakshmi, Na Wang, Chee‐Onn Chow, Wei Bao, Munkhjargal Gochoo, Zhen Zhao, Joon Huang Chuah and Daniel Holtmann-Rice and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Physics in Medicine and Biology and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Xiang Wu

41 papers receiving 297 citations

Peers

Xiang Wu
Comparison fields: 5 of 66
  • Artificial Intelligence 119
  • Computer Vision and Pattern Recognition 76
  • Neurology 71
  • Cognitive Neuroscience 44
  • Psychiatry and Mental health 34
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Citations per field, relative to Xiang Wu
Xiang Wu · 1×
Citations per year, relative to Xiang Wu
Xiang Wu · 1×

Countries citing papers authored by Xiang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiang Wu. A scholar is included among the top collaborators of Xiang 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 Xiang Wu. Xiang 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
# Work Indexed citations
1 0
2 1
3 1
4 1
5 1
6 2
7 5
8 3
9 20
10 4
11 2
12 7
13
CM-NAS: Rethinking Cross-Modality Neural Architectures for Visible-Infrared Person Re-Identification.
1
14 3
15 8
16
Breaking the Glass Ceiling for Embedding-Based Classifiers for Large Output Spaces
15
17
New Loss Functions for Fast Maximum Inner Product Search
1
18
Multiscale Quantization for Fast Similarity Search
27
19 1
20
Power-hardware-in-the-loop test bed for integration of alternative energy sources
1

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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