Lukun Wang

441 citations
14 papers · 169 · h-index 7

Impact in

Papers in

Lukun Wang

12 papers receiving 164 citations

Peers

Lukun Wang
Comparison fields: 5 of 70
  • Artificial Intelligence 65
  • Health Informatics 2
  • Human-Computer Interaction 8
  • Media Technology 11
  • Computer Vision and Pattern Recognition 20
Replace Nour Mahmoud Bahbouh with:
Nour Mahmoud Bahbouh Saudi Arabia
Saurabh Pratap Singh Rathore India
Yazan Mualla France
Anil Sharma India
Prakhar Gupta India
Vinoth Kumar Venkatesan India
Venu Madhav Kuthadi South Africa
Martin Strohbach Germany
D. Akila India
D.C. Joy Winnie Wise India
Lukun Wang relative to Nour Mahmoud Bahbouh Saudi Arabia Nour Mahmoud Bahbouh's profile →
Citations per field
00.5×2.7×
Nour Mahmoud Bahbouh · 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

14 of 14 papers shown
#Work
1 202448
2 201934
3 202219
4 202017
5 202313
6 202012
7 202310
8 20256
9 20234
10 20243
11 20192
12 20251
13 20250
14 20250

About Lukun Wang

Lukun Wang is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Media Technology, Computer Networks and Communications and Control and Systems Engineering, having authored 14 papers that have together received 169 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (5 papers), Remote-Sensing Image Classification (2 papers), Wireless Communication Security Techniques (2 papers), Advanced Data and IoT Technologies (2 papers), Cryptography and Data Security (2 papers), Hearing Impairment and Communication (1 paper), Electrical Fault Detection and Protection (1 paper) and Automated Road and Building Extraction (1 paper). The work is most often cited by research in Artificial Intelligence (65 citations), Health Informatics (2 citations), Human-Computer Interaction (8 citations), Media Technology (11 citations) and Computer Vision and Pattern Recognition (20 citations). Lukun Wang has collaborated with scholars based in China, Australia and Saudi Arabia. Frequent co-authors include Jiaming Pei, Chao Liu, Jinhai Li, Xiao‐Xiao Tian, Joel J. P. C. Rodrigues, Man‐Wen Tian, Zhi Yu, Muhammad Alam, Mohamed Elhoseny and Guobin Chen. Their work appears in journals such as IEEE Transactions on Consumer Electronics, IEEE Access, IEEE Journal on Selected Areas in Communications, IEEE Internet of Things Journal and IEEE Geoscience and Remote Sensing 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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