Xiaohan Wei

1.0k citations
50 papers · 592 · h-index 12

Impact in

    • Direction-of-Arrival Estimation Techniques
    • Speech and Audio Processing
    • Blind Source Separation Techniques
    • Electrochemical Analysis and Applications

Papers in

Xiaohan Wei

47 papers receiving 582 citations

Peers

Xiaohan Wei
Comparison fields: 5 of 96
  • Signal Processing 153
  • Electrochemistry 54
  • Ceramics and Composites 41
  • Electrical and Electronic Engineering 249
  • Computational Mechanics 83
Replace Lei Nie with:
Lei Nie China
Sergei V. Pereverzyev Austria
Tianpeng Liu China
Yunong Zhang China
Yazhen Wang China
Vasile Ţopa Romania
Xiaotong Wang China
Sang Jeen Hong South Korea
Chen United States
Wuyuan Xie China
Xiaohan Wei relative to Lei Nie China Lei Nie's profile →
Citations per field
00.5×10.3×
Lei Nie · 1×
Citations per year

Countries citing papers authored by Xiaohan Wei

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohan Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012115
2 1994101
3 201244
4 201237
5 201031
6 202423
7 201422
8 201919
9 200217
10 202416
11 201813
12 202011
13 201910
14 201710
15 20229
16 20209
17
On the statistical rate of nonlinear recovery in generative models with heavy-tailed data
20198
18 20208
19 20168
20 20237

About Xiaohan Wei

Xiaohan Wei is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Computational Mechanics and Control and Systems Engineering, having authored 50 papers that have together received 592 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (10 papers), Advanced Wireless Network Optimization (7 papers), Stochastic Gradient Optimization Techniques (6 papers), Advanced Bandit Algorithms Research (6 papers), Machine Fault Diagnosis Techniques (5 papers), Electrochemical sensors and biosensors (3 papers), Age of Information Optimization (3 papers) and Gear and Bearing Dynamics Analysis (3 papers). The work is most often cited by research in Signal Processing (153 citations), Electrochemistry (54 citations), Ceramics and Composites (41 citations), Electrical and Electronic Engineering (249 citations) and Computational Mechanics (83 citations). Xiaohan Wei has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Xu Xu, Zhongfu Ye, R. Christoffersen, Peter K. Davies, T. Negas, Michael J. Neely, Qing Ling, Fei Wang, Baoxian Ye and Hao Yu. Their work appears in journals such as IEEE/ACM Transactions on Networking, Advanced Materials, Measurement, Bernoulli and IEEE Micro.

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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