Wu Xin

661 total citations
46 papers, 469 citations indexed

About

Wu Xin is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Wu Xin has authored 46 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Electrical and Electronic Engineering, 7 papers in Cellular and Molecular Neuroscience and 7 papers in Artificial Intelligence. Recurrent topics in Wu Xin's work include Advanced Memory and Neural Computing (10 papers), Geoscience and Mining Technology (5 papers) and Topic Modeling (5 papers). Wu Xin is often cited by papers focused on Advanced Memory and Neural Computing (10 papers), Geoscience and Mining Technology (5 papers) and Topic Modeling (5 papers). Wu Xin collaborates with scholars based in United States, China and United Kingdom. Wu Xin's co-authors include Vishal Saxena, Kehan Zhu, Xiaojun Tang, Wan Kuang, John Albert White, Francisco Azuaje, Werner Dubitzky, N.D. Black, Philippe Lopes and Yongzhe Li and has published in prestigious journals such as Cerebral Cortex, Physica A Statistical Mechanics and its Applications and Neural Computing and Applications.

In The Last Decade

Wu Xin

40 papers receiving 455 citations

Peers

Wu Xin
Comparison fields: 5 of 70
  • Electrical and Electronic Engineering 336
  • Cellular and Molecular Neuroscience 131
  • Cognitive Neuroscience 121
  • Artificial Intelligence 118
  • Mechanics of Materials 42
Replace Hongyu An with:
Hongyu An United States
Emiliano Torre Germany
Tariq Alshawi Saudi Arabia
Jacek Starzyński Poland
Stephen J. Weddell New Zealand
Takashi Kohno Japan
Darren T. Schachter United States
Zoey Hu United States
Sunghun Kim South Korea
Roberto Guerrieri Italy
Hongyu An United States View profile →
Citations per field, relative to Wu Xin
Wu Xin · 1×
Citations per year, relative to Wu Xin
Wu Xin · 1×

Countries citing papers authored by Wu Xin

Since Specialization
Citations

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

Fields of papers citing papers by Wu Xin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wu Xin

This figure shows the co-authorship network connecting the top 25 collaborators of Wu Xin. A scholar is included among the top collaborators of Wu Xin 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 Wu Xin. Wu Xin 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 1
2 0
3 2
4 2
5 0
6 10
7 1
8 23
9 14
10 7
11 4
12 1
13
Analog Spiking Neuromorphic Circuits and Systems for Brain- and Nanotechnology-Inspired Cognitive Computing
1
14 29
15
Development of rotary infrared micro-scanner
0
16
Theoretical and Experimental Study of Aggregation and Removal of Fuel Coal PM_(10) in Magnetic Fields
1
17
Multiple Criteria Rainfall-Runoff Model Calibration Using a Parallel Genetic Algorithm in a Cluster of Computers
8
18 1
19
The magnetic principle and method of on-line testing of ovality of coiled tubing
1
20 38

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