Xiaofeng Lu

949 citations
49 papers · 647 · h-index 15

Impact in

Papers in

Xiaofeng Lu

46 papers receiving 612 citations

Peers

Xiaofeng Lu
Comparison fields: 5 of 78
  • Signal Processing 150
  • Computer Networks and Communications 301
  • Information Systems 189
  • Artificial Intelligence 205
  • Computer Science Applications 24
Replace Algimantas Venčkauskas with:
Algimantas Venčkauskas Lithuania
William Choi United States
Juan A. Nolazco‐Flores Mexico
Amir Jalaly Bidgoly Iran
Ben Zhang China
Priyanka Sharma India
Tanmoy Maitra India
Taimin Zhang China
Selina Sharmin Bangladesh
Xiaofeng Lu relative to Algimantas Venčkauskas Lithuania Algimantas Venčkauskas's profile →
Citations per field
00.5×3.4×
Algimantas Venčkauskas · 1×
Citations per year

Countries citing papers authored by Xiaofeng Lu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofeng Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020111
2 201065
3 201946
4 201942
5 202041
6 201038
7 201732
8 201329
9 202122
10 202121
11 201820
12 201216
13 202115
14 201614
15 200614
16 200514
17 20229
18 20228
19 20167
20 20206

About Xiaofeng Lu

Xiaofeng Lu is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, having authored 49 papers that have together received 647 indexed citations. Recurring topics across this work include Opportunistic and Delay-Tolerant Networks (9 papers), Mobile Ad Hoc Networks (8 papers), Caching and Content Delivery (7 papers), Advanced Malware Detection Techniques (7 papers), Network Security and Intrusion Detection (7 papers), User Authentication and Security Systems (5 papers), IoT and Edge/Fog Computing (4 papers) and Privacy-Preserving Technologies in Data (4 papers). The work is most often cited by research in Signal Processing (150 citations), Computer Networks and Communications (301 citations), Information Systems (189 citations), Artificial Intelligence (205 citations) and Computer Science Applications (24 citations). Xiaofeng Lu has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Pan Hui, Píetro Lió, Shengwei Yi, Jing Sha, Zhang Xiong, Don Towsley, Shengfu Lu, Ning Zhong, Jian Li and Guangxi Zhu. Their work appears in journals such as Computer Networks, China Communications, IEEE Internet of Things Journal, IEEE Transactions on Parallel and Distributed Systems and IEEE Access.

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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