Xuezhi Wang

11.3k citations
247 papers · 3.4k · 1 hit paper · h-index 30

Impact in

Papers in

Xuezhi Wang

232 papers receiving 3.2k citations

Xuezhi Wang's Hit Papers

Large Language Models Can Self-Improve 2023 · 118 citations
1180+1+2Years since publication255075100

Peers

Xuezhi Wang
Comparison fields: 5 of 186
  • Artificial Intelligence 1.1k
  • Aerospace Engineering 515
  • Computer Vision and Pattern Recognition 385
  • Health Informatics 21
  • Computer Networks and Communications 356
Replace Oliver Krämer with:
Oliver Krämer Germany
Abdelhameed Ibrahim‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬ Egypt
Ke-Lin Du Canada
Nima Khodadadi United States
Keyu Duan China
Zhiyuan Qi China
Dongbo Xi China
Abdelaziz A. Abdelhamid Egypt
Li Chen China
Xuezhi Wang relative to Oliver Krämer Germany Oliver Krämer's profile →
Citations per field
00.5×2.6×
Oliver Krämer · 1×
Citations per year

Countries citing papers authored by Xuezhi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xuezhi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 247 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010206
2
Large Language Models Can Self-Improve
Hit paper breakdown →
2023118
3 200396
4 201981
5 201970
6 201068
7 201065
8 201759
9 202257
10 201957
11 201455
12 201352
13 200951
14 202347
15 202246
16
Flexible Transfer Learning under Support and Model Shift
201446
17 201246
18 202042
19 202141
20 200241

About Xuezhi Wang

Xuezhi Wang is a scholar working on Artificial Intelligence, Aerospace Engineering, Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 247 papers that have together received 3.4k indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (52 papers), Distributed Sensor Networks and Detection Algorithms (22 papers), Indoor and Outdoor Localization Technologies (19 papers), Radar Systems and Signal Processing (14 papers), Topic Modeling (13 papers), Robotics and Sensor-Based Localization (10 papers), Fault Detection and Control Systems (9 papers) and Advanced machining processes and optimization (9 papers). The work is most often cited by research in Artificial Intelligence (1.1k citations), Aerospace Engineering (515 citations), Computer Vision and Pattern Recognition (385 citations), Health Informatics (21 citations) and Computer Networks and Communications (356 citations). Xuezhi Wang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Bill Moran, Pengfei Guo, Robin J. Evans, Jeff Schneider, Darko Mušicki, Subhash Challa, Nicola Cooley, S. Challa, Yongqiang Cheng and Tianbiao Yu. Their work appears in journals such as IEEE Transactions on Aerospace and Electronic Systems, IEEE Transactions on Signal Processing, Information Fusion, Signal Processing and Proceedings of the VLDB Endowment.

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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