Xiaohan Wei

1.1k citations
53 papers · 653 · 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 639 citations

Peers

Xiaohan Wei
Comparison fields: 5 of 100
  • Signal Processing 161
  • Electrochemistry 54
  • Ceramics and Composites 40
  • Electrical and Electronic Engineering 265
  • Computational Mechanics 89
Replace Sergei V. Pereverzyev with:
Sergei V. Pereverzyev Austria
Tianpeng Liu China
Lei Nie China
Vasile Ţopa Romania
Yazhen Wang China
Wuyuan Xie China
Xiaotong Wang China
Chen United States
Yanci Zhang China
Xiaohan Wei relative to Sergei V. Pereverzyev Austria Sergei V. Pereverzyev's profile →
Citations per field
00.5×5×10×13.3×
Sergei V. Pereverzyev · 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 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012121
2 1994102
3 201245
4 201240
5 201031
6 202428
7 202424
8 201423
9 201921
10 200219
11 201816
12 202013
13 201912
14 202011
15 201710
16 20239
17 20219
18 20229
19 20259
20 20208

About Xiaohan Wei

Xiaohan Wei is a scholar working on Computational Mechanics, Computer Networks and Communications, Management Science and Operations Research, Electrical and Electronic Engineering and Artificial Intelligence, having authored 53 papers that have together received 653 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (10 papers), Stochastic Gradient Optimization Techniques (7 papers), Advanced Bandit Algorithms Research (7 papers), Advanced Wireless Network Optimization (7 papers), Machine Fault Diagnosis Techniques (5 papers), Blind Source Separation Techniques (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 (161 citations), Electrochemistry (54 citations), Ceramics and Composites (40 citations), Electrical and Electronic Engineering (265 citations) and Computational Mechanics (89 citations). Xiaohan Wei has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zhongfu Ye, Xu Xu, R. Christoffersen, Taki Negas, Peter K. Davies, Michael J. Neely, Qing Hua Ling, Fei Wang, Hao Yu and Baoxian Ye. Their work appears in journals such as Journal of Nuclear Medicine, IEEE/ACM Transactions on Networking, Electronic Journal of Probability, ISA Transactions and ACS Macro Letters.

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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