Kai Lü

899 citations
42 papers · 688 · h-index 13

Impact in

Papers in

Kai Lü

37 papers receiving 669 citations

Peers

Kai Lü
Comparison fields: 5 of 63
  • Polymers and Plastics 284
  • Electrical and Electronic Engineering 498
  • Materials Chemistry 259
  • Discrete Mathematics and Combinatorics 14
  • Computer Networks and Communications 67
Replace Bikash Kumar Dey with:
Bikash Kumar Dey India
Y. Kohno Japan
P.H. Nguyen Germany
Dae Sin Kim South Korea
Pei-Ying Du Taiwan
Rich Liu Taiwan
Martin Sonntag Germany
S. Kubota Japan
Wenyuan Yang China
Mrinal Kanti Mandal India
Kai Lü relative to Bikash Kumar Dey India Bikash Kumar Dey's profile →
Citations per field
00.5×2×4×6×8.4×
Bikash Kumar Dey · 1×
Citations per year

Countries citing papers authored by Kai Lü

Since Specialization
Citations

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

Fields of papers citing papers by Kai Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015292
2 201880
3 201825
4 199124
5 201320
6 199419
7 201818
8 202018
9 201917
10 201517
11 202116
12 199814
13 201913
14 201812
15 201511
16 202010
17 20238
18 20128
19 20138
20 20247

About Kai Lü

Kai Lü is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems, Hardware and Architecture and Computational Theory and Mathematics, having authored 42 papers that have together received 688 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (14 papers), Cloud Computing and Resource Management (9 papers), Parallel Computing and Optimization Techniques (7 papers), Perovskite Materials and Applications (7 papers), Organic Light-Emitting Diodes Research (5 papers), Caching and Content Delivery (5 papers), Conducting polymers and applications (4 papers) and Advanced Graph Theory Research (4 papers). The work is most often cited by research in Polymers and Plastics (284 citations), Electrical and Electronic Engineering (498 citations), Materials Chemistry (259 citations), Discrete Mathematics and Combinatorics (14 citations) and Computer Networks and Communications (67 citations). Kai Lü has collaborated with scholars based in China, United States and Norway. Frequent co-authors include Bin Hu, Chen Zhao, Bingbing Chen, Lin Luan, Xianfeng Qiao, Jiashun Duan, Jiang Wei, Tiefeng Liu, Yinhua Zhou and Youyu Jiang. Their work appears in journals such as Advanced Energy Materials, Solar RRL, IEEE Transactions on Parallel and Distributed Systems, Journal of Materials Chemistry C and ACM Transactions on Storage.

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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