Lukun Wang

27 papers receiving 694 citations

Peers

Lukun Wang
Comparison fields: 5 of 117
  • Ecological Modeling 52
  • Computer Vision and Pattern Recognition 181
  • Control and Systems Engineering 189
  • Artificial Intelligence 152
  • Computer Networks and Communications 85
Replace Teerath Kumar with:
Teerath Kumar Ireland
Guobin Chen China
Ana I. Pereira Portugal
Javier Monroy Spain
Ismael Soto Chile
Zhengyu Yang United States
Youssef Kaddoura United States
Zhonghua Li China
Yunpeng Pan United States
Ayman Nabil Egypt
Lukun Wang relative to Teerath Kumar Ireland Teerath Kumar's profile →
Citations per field
00.5×6.3×
Teerath Kumar · 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 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020154
2 202084
3 201982
4 201667
5 201660
6 202355
7 202344
8 201933
9 201920
10 201617
11 202315
12 202113
13 202312
14 20249
15 20227
16 20187
17 20247
18 20207
19 20205
20 20234

About Lukun Wang

Lukun Wang is a scholar working on Computer Vision and Pattern Recognition, Radiological and Ultrasound Technology, Process Chemistry and Technology, Artificial Intelligence and Statistics, Probability and Uncertainty, having authored 30 papers that have together received 713 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (4 papers), Human Pose and Action Recognition (4 papers), Privacy-Preserving Technologies in Data (4 papers), Anomaly Detection Techniques and Applications (4 papers), Gait Recognition and Analysis (3 papers), Electrical Fault Detection and Protection (2 papers), Chemical Synthesis and Analysis (2 papers) and Time Series Analysis and Forecasting (2 papers). The work is most often cited by research in Ecological Modeling (52 citations), Computer Vision and Pattern Recognition (181 citations), Control and Systems Engineering (189 citations), Artificial Intelligence (152 citations) and Computer Networks and Communications (85 citations). Lukun Wang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Guobin Lin, Yougang Sun, Junqi Xu, Wen Ji, Gong‐You Tang, Yunjie Liu, Wei Gu, Jiaming Pei, Haiyan Wei and Xuhui Zhang. Their work appears in journals such as SpringerPlus, IEEE Transactions on Industrial Informatics, Journal of Intelligent & Fuzzy Systems, Neural Computing and Applications and Journal of Materials Chemistry B.

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