Feng Lu

696 citations
69 papers · 504 · h-index 12

Impact in

Papers in

Feng Lu

62 papers receiving 494 citations

Peers

Feng Lu
Comparison fields: 5 of 103
  • Computational Mathematics 6
  • Computer Networks and Communications 220
  • Statistical and Nonlinear Physics 51
  • Information Systems 74
  • Transportation 21
Replace Su Deng with:
Su Deng China
Yilei Wang China
Fangli Xu China
Guang Yu China
Xujin Chen China
Ho-Lin Chen United States
Aimin Pan China
Shingo Ono Japan
Feng Lu relative to Su Deng China Su Deng's profile →
Citations per field
00.5×1.5×
Su Deng · 1×
Citations per year

Countries citing papers authored by Feng Lu

Since Specialization
Citations

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

Fields of papers citing papers by Feng Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201563
2 201646
3 201528
4 201627
5 201422
6 201818
7 202116
8
A Diversity Adjusting Strategy with Personality for Music Recommendation
201815
9 201314
10 200913
11 200613
12 202112
13 201411
14 201811
15 201911
16 202310
17 201710
18 20159
19 20188
20 20128

About Feng Lu

Feng Lu is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems, Artificial Intelligence and Molecular Biology, having authored 69 papers that have together received 504 indexed citations. Recurring topics across this work include Caching and Content Delivery (6 papers), Wireless Networks and Protocols (5 papers), Wireless Communication Networks Research (5 papers), Cloud Computing and Resource Management (4 papers), Advanced MIMO Systems Optimization (4 papers), Advanced Wireless Network Optimization (4 papers), Ultra-Wideband Communications Technology (4 papers) and Network Traffic and Congestion Control (4 papers). The work is most often cited by research in Computational Mathematics (6 citations), Computer Networks and Communications (220 citations), Statistical and Nonlinear Physics (51 citations), Information Systems (74 citations) and Transportation (21 citations). Feng Lu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Hai Jin, Geoffrey M. Voelker, Alex C. Snoeren, Ankur Jain, Andreas Terzis, Hao Du, Laurence T. Yang, Weikang Zhang, Nava Tintarev and Peng Xu. Their work appears in journals such as Future Generation Computer Systems, Neurocomputing, Journal of Network and Computer Applications, Advanced Science and Talanta.

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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