Jiaxiang Wu

3.7k total citations
71 papers, 1.3k citations indexed

About

Jiaxiang Wu is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Jiaxiang Wu has authored 71 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 19 papers in Computer Vision and Pattern Recognition and 16 papers in Artificial Intelligence. Recurrent topics in Jiaxiang Wu's work include Neuroscience and Neuropharmacology Research (12 papers), Advanced Image and Video Retrieval Techniques (11 papers) and Protein Structure and Dynamics (9 papers). Jiaxiang Wu is often cited by papers focused on Neuroscience and Neuropharmacology Research (12 papers), Advanced Image and Video Retrieval Techniques (11 papers) and Protein Structure and Dynamics (9 papers). Jiaxiang Wu collaborates with scholars based in China, United States and Ireland. Jiaxiang Wu's co-authors include Jian Cheng, Cong Leng, Hanqing Lu, Roger Anwyl, Michael J. Rowan, Junzhou Huang, Qinghao Hu, D.I. Wallis, Jian Cheng and Hainan Cui and has published in prestigious journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Pattern Analysis and Machine Intelligence and The Journal of Physiology.

In The Last Decade

Jiaxiang Wu

68 papers receiving 1.3k citations

Peers

Jiaxiang Wu
Comparison fields: 5 of 129
  • Computer Vision and Pattern Recognition 504
  • Molecular Biology 353
  • Cellular and Molecular Neuroscience 314
  • Artificial Intelligence 256
  • Cognitive Neuroscience 99
Replace Min Fu with:
Min Fu China
Xueying Zhang China
Siyuan Huang China
Steven Peters United States
Ryan Farrell United States
Jing Huo China
Taewan Kim South Korea
Ting Liu China
J. Kaufhold United States
Su Zhang China
Min Fu China View profile →
Citations per field, relative to Jiaxiang Wu
Jiaxiang Wu · 1×
Citations per year, relative to Jiaxiang Wu
Jiaxiang Wu · 1×

Countries citing papers authored by Jiaxiang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jiaxiang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiaxiang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jiaxiang Wu. A scholar is included among the top collaborators of Jiaxiang 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 Jiaxiang Wu. Jiaxiang 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 2
4 0
5 6
6 5
7 8
8 19
9 8
10 19
11 14
12 5
13
Revisiting Parameter Sharing for Automatic Neural Channel Number Search
10
14 10
15
Double Quantization for Communication-Efficient Distributed Optimization
4
16
Collaborative Channel Pruning for Deep Networks
37
17 38
18 12
19 33
20 21

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