Yu Lu

793 citations
56 papers · 580 · h-index 13

Impact in

Papers in

Yu Lu

50 papers receiving 564 citations

Peers

Yu Lu
Comparison fields: 5 of 117
  • Computer Networks and Communications 240
  • Information Systems 76
  • Urban Studies 15
  • Condensed Matter Physics 29
  • Automotive Engineering 28
Replace Giuseppe Coviello with:
Giuseppe Coviello Italy
M. Jamal Deen Canada
Wenli Shang China
R. Dhanasekaran India
Mohammad Trik Iran
Xiali Hei United States
Constantin Suciu Romania
Haya Alaskar Saudi Arabia
Nikolay Nagornov Russia
Yanting Zhang China
Yu Lu relative to Giuseppe Coviello Italy Giuseppe Coviello's profile →
Citations per field
00.5×7.3×
Giuseppe Coviello · 1×
Citations per year

Countries citing papers authored by Yu Lu

Since Specialization
Citations

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

Fields of papers citing papers by Yu Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202368
2 200755
3 202343
4 201841
5 202136
6 202033
7 201824
8 202220
9 201418
10 201418
11 201515
12 201314
13 202214
14 202012
15 202011
16 202111
17 201910
18 199210
19 19928
20 20228

About Yu Lu

Yu Lu is a scholar working on Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering, Endocrinology, Diabetes and Metabolism and Atomic and Molecular Physics, and Optics, having authored 56 papers that have together received 580 indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (15 papers), Network Security and Intrusion Detection (7 papers), Advanced Optical Network Technologies (6 papers), Cloud Computing and Resource Management (5 papers), Diabetes Treatment and Management (4 papers), Information and Cyber Security (4 papers), Diabetes Management and Research (3 papers) and Vitamin D Research Studies (3 papers). The work is most often cited by research in Computer Networks and Communications (240 citations), Information Systems (76 citations), Urban Studies (15 citations), Condensed Matter Physics (29 citations) and Automotive Engineering (28 citations). Yu Lu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Yicen Liu, Zhiwei Li, Xi Li, E. J. Ding, Zhike Peng, S.A. Billings, Zi–Qiang Lang, Zhigang Yao, Jiantao Han and Fangyuan Cheng. Their work appears in journals such as IEEE Access, IEEE Internet of Things Journal, IEEE Communications Letters, International Journal of Security and Networks and Scientific Reports.

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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