Weifeng Lu

521 citations
41 papers · 375 · h-index 10

Impact in

    • IoT and Edge/Fog Computing
    • Cooperative Communication and Network Coding
    • Age of Information Optimization
    • Energy Efficient Wireless Sensor Networks
    • Blockchain Technology Applications and Security
    • Cloud Computing and Resource Management

Papers in

Weifeng Lu

37 papers receiving 360 citations

Peers

Weifeng Lu
Comparison fields: 5 of 49
  • Computer Networks and Communications 264
  • Information Systems 122
  • Computer Science Applications 15
  • Electrical and Electronic Engineering 136
  • Artificial Intelligence 75
Replace Siya Xu with:
Siya Xu China
Zoubeir Mlika Canada
Tianhan Gao China
Peng Lin China
Wenqing Yao China
Giancarlo Pastor Finland
Yanli Qi China
Hassnaa Moustafa France
Weifeng Lu relative to Siya Xu China Siya Xu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Weifeng Lu

Since Specialization
Citations

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

Fields of papers citing papers by Weifeng Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201984
2 202167
3 201932
4 202019
5 202119
6 201014
7 202113
8 200513
9 201811
10 20119
11 20148
12 20117
13 20207
14 20087
15 20207
16 20166
17 20176
18 20185
19 20165
20 20174

About Weifeng Lu

Weifeng Lu is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Control and Systems Engineering and Information Systems, having authored 41 papers that have together received 375 indexed citations. Recurring topics across this work include Cooperative Communication and Network Coding (19 papers), Advanced Wireless Network Optimization (7 papers), Wireless Communication Networks Research (7 papers), Advanced MIMO Systems Optimization (7 papers), IoT and Edge/Fog Computing (6 papers), Mobile Ad Hoc Networks (5 papers), Wireless Communication Security Techniques (5 papers) and Privacy-Preserving Technologies in Data (5 papers). The work is most often cited by research in Computer Networks and Communications (264 citations), Information Systems (122 citations), Computer Science Applications (15 citations), Electrical and Electronic Engineering (136 citations) and Artificial Intelligence (75 citations). Weifeng Lu has collaborated with scholars based in China, United States and Bangladesh. Frequent co-authors include Kun Wang, Jia Xu, Siguang Chen, Siguang Chen, Vijayakumar Varadarajan, Meng Wu, Lijie Xu, Dejun Yang, Shitao Zhang and Jun Dong. Their work appears in journals such as Information Systems Frontiers, Computer Communications, Wireless Networks, China Communications and IEEE Transactions on Network and Service Management.

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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