Lukun Wang

1.7k citations
50 papers · 1.1k · 1 hit paper · h-index 16

Impact in

Papers in

Lukun Wang

44 papers receiving 1k citations

Lukun Wang's Hit Papers

A Review of Federated Learning Methods in Heterogeneous Scenarios 2024 · 114 citations
1140+1Years since publication255075100

Peers

Lukun Wang
Comparison fields: 5 of 100
  • Ecological Modeling 67
  • Computer Vision and Pattern Recognition 205
  • Control and Systems Engineering 184
  • Artificial Intelligence 215
  • Health Informatics 7
Replace Yuxi Li with:
Yuxi Li China
Hu Xu China
Samira Sadaoui Canada
Wenbin Hu China
Jože Tavčar Slovenia
Jin Qi China
Nur Ulfa Maulidevi Indonesia
Geon Heo South Korea
Doriana Marilena D'Addona Italy
Guo‐Niu Zhu Singapore
Lukun Wang relative to Yuxi Li China Yuxi Li's profile →
Citations per field
00.5×2×4×6×8.4×
Yuxi Li · 1×
Citations per year

Countries citing papers authored by Lukun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lukun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lukun 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 Lukun Wang Line = papers co-authored together Lukun Wang 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 2020166
2
A Review of Federated Learning Methods in Heterogeneous Scenarios
Hit paper breakdown →
2024114
3 201998
4 202094
5 201673
6 201668
7 202359
8 202354
9 201937
10 201933
11 202322
12 201921
13 202321
14 202020
15 202220
16 201619
17 202316
18 202316
19 202113
20 202012

About Lukun Wang

Lukun Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Media Technology, Ecological Modeling and Inorganic Chemistry, having authored 50 papers that have together received 1.1k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (14 papers), Remote-Sensing Image Classification (3 papers), Context-Aware Activity Recognition Systems (3 papers), Video Surveillance and Tracking Methods (3 papers), Electrical Fault Detection and Protection (3 papers), Human Pose and Action Recognition (3 papers), Chemical Reaction Mechanisms (3 papers) and Metal-Catalyzed Oxygenation Mechanisms (3 papers). The work is most often cited by research in Ecological Modeling (67 citations), Computer Vision and Pattern Recognition (205 citations), Control and Systems Engineering (184 citations), Artificial Intelligence (215 citations) and Health Informatics (7 citations). Lukun Wang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Jiaming Pei, Guobin Lin, Yougang Sun, Junqi Xu, Chao Liu, Wen Ji, Wenxuan Liu, Jinhai Li, Gong‐You Tang and Yunjie Liu. Their work appears in journals such as IEEE Access, IEEE Transactions on Consumer Electronics, IEEE Internet of Things Journal, SpringerPlus and Neural Computing and Applications.

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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