Xiaofeng Lu

985 citations
52 papers · 748 · h-index 14

Impact in

Papers in

Xiaofeng Lu

49 papers receiving 714 citations

Peers

Xiaofeng Lu
Comparison fields: 5 of 79
  • Signal Processing 173
  • Computer Networks and Communications 344
  • Information Systems 227
  • Artificial Intelligence 233
  • Human-Computer Interaction 29
Replace William S. Choi with:
William S. Choi United States
Tanmoy Maitra India
Priyanka Sharma India
Ben Zhang China
Xin Qi United States
Juan A. Nolazco‐Flores Mexico
Patricia Arias-Cabarcos Spain
Weizhan Zhang China
Tianbo Wang China
Kebin Liu China
Xiaofeng Lu relative to William S. Choi United States William S. Choi's profile →
Citations per field
00.5×2×4×6×7.9×
William S. Choi · 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 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020128
2 201077
3 201959
4 202049
5 201944
6 201042
7 201734
8 201330
9 202123
10 202123
11 201821
12 201220
13 202118
14 200618
15 200514
16 201614
17 201912
18 202111
19 202210
20 202210

About Xiaofeng Lu

Xiaofeng Lu is a scholar working on Computer Networks and Communications, Information Systems, Signal Processing, Artificial Intelligence and Human-Computer Interaction, having authored 52 papers that have together received 748 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), Anomaly Detection Techniques and Applications (4 papers) and IoT and Edge/Fog Computing (4 papers). The work is most often cited by research in Signal Processing (173 citations), Computer Networks and Communications (344 citations), Information Systems (227 citations), Artificial Intelligence (233 citations) and Human-Computer Interaction (29 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 Jie Sha, Don Towsley, Zhang Xiong, Jian Li, Shengfu Lu, Ning Zhong and Guangxi Zhu. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Access, China Communications, Computer Networks and IEEE Transactions on Parallel and Distributed Systems.

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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