Lun Wang

417 citations
17 papers · 260 · h-index 8

Impact in

Papers in

    • Adversarial Robustness in Machine Learning 2
    • Anomaly Detection Techniques and Applications 2
    • Internet Traffic Analysis and Secure E-voting 2
    • Tribology and Lubrication Engineering 5
    • Gear and Bearing Dynamics Analysis 5
    • Lubricants and Their Additives 3

Lun Wang

14 papers receiving 259 citations

Peers

Lun Wang
Comparison fields: 5 of 51
  • Energy Engineering and Power Technology 37
  • Artificial Intelligence 126
  • Computer Networks and Communications 69
  • Hardware and Architecture 17
  • Signal Processing 27
Replace Ali Parizad with:
Ali Parizad Iran
Ciaran Roberts United States
Jason Edwin Stamp United States
Lal Pratap Verma India
Yunchang Dong China
M. S. Rahman Australia
Guangdou Zhang China
Sara Mahmoudi Rashid Iran
P. Banerjee United States
Rayappa David Amar Raj India
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Citations per field
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Citations per year

Countries citing papers authored by Lun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 202086
2 201937
3 202037
4 202131
5 201921
6 201819
7 20247
8 20187
9 20235
10 20214
11 20253
12 20251
13
Application of Laminar Cooling in Hot Strip Mill of Shougang Qiangang
20071
14 20211
15 20250
16 20230
17 20250

About Lun Wang

Lun Wang is a scholar working on Artificial Intelligence, Mechanical Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 17 papers that have together received 260 indexed citations. Recurring topics across this work include Tribology and Lubrication Engineering (5 papers), Gear and Bearing Dynamics Analysis (5 papers), Lubricants and Their Additives (3 papers), Network Security and Intrusion Detection (3 papers), Adversarial Robustness in Machine Learning (2 papers), Anomaly Detection Techniques and Applications (2 papers), Internet Traffic Analysis and Secure E-voting (2 papers) and Image and Video Quality Assessment (2 papers). The work is most often cited by research in Energy Engineering and Power Technology (37 citations), Artificial Intelligence (126 citations), Computer Networks and Communications (69 citations), Hardware and Architecture (17 citations) and Signal Processing (27 citations). Lun Wang has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Dawn Song, Xiulan Pang, Chao Ma, Yang Yang, Jijian Lian, Yusheng Zhang, Wenbo Guo, Xinyu Xing, Tong Yang and Min Du. Their work appears in journals such as Scientific Reports, Journal of Cleaner Production, Ocean Engineering, IEEE/ACM Transactions on Networking and Ships and Offshore Structures.

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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