Kai Lin

478 citations
24 papers · 354 · h-index 10

Impact in

Papers in

Kai Lin

23 papers receiving 352 citations

Peers

Kai Lin
Comparison fields: 5 of 46
  • Computer Science Applications 72
  • Media Technology 106
  • Transportation 40
  • Computer Networks and Communications 104
  • Information Systems 90
Replace Hengrun Zhang with:
Hengrun Zhang China
Rong Du China
Haichuan Ding China
Soochang Park Hong Kong
Haolin Liu China
Arsham Farshad United Kingdom
Ted Hart United States
José Santos Belgium
Zhenyun Zhuang United States
Ioannis Papapanagiotou United States
Kai Lin relative to Hengrun Zhang China Hengrun Zhang's profile →
Citations per field
00.5×1.5×2.3×
Hengrun Zhang · 1×
Citations per year

Countries citing papers authored by Kai Lin

Since Specialization
Citations

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

Fields of papers citing papers by Kai Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202178
2 201458
3 202038
4 201929
5 202124
6 202216
7 202116
8 201913
9 202112
10 202010
11 20238
12 20218
13 20188
14 20236
15 20225
16 20185
17 20115
18 20214
19 20244
20 20232

About Kai Lin

Kai Lin is a scholar working on Electrical and Electronic Engineering, Media Technology, Computer Networks and Communications, Information Systems and Artificial Intelligence, having authored 24 papers that have together received 354 indexed citations. Recurring topics across this work include RFID technology advancements (11 papers), Energy Harvesting in Wireless Networks (7 papers), Indoor and Outdoor Localization Technologies (6 papers), Recommender Systems and Techniques (5 papers), Advanced Graph Neural Networks (3 papers), IPv6, Mobility, Handover, Networks, Security (3 papers), Energy Efficient Wireless Sensor Networks (3 papers) and Smart Parking Systems Research (2 papers). The work is most often cited by research in Computer Science Applications (72 citations), Media Technology (106 citations), Transportation (40 citations), Computer Networks and Communications (104 citations) and Information Systems (90 citations). Kai Lin has collaborated with scholars based in China, Russia and Australia. Frequent co-authors include Honglong Chen, Zhibo Wang, Na Yan, Jiguo Yu, Xin Ai, Zhe Li, Guoqi Ma, Leyi Shi, Geyong Min and Bin Xiao. Their work appears in journals such as IEEE Transactions on Industrial Informatics, IEEE Access, IEEE Transactions on Mobile Computing, Journal of Network and Computer Applications and Engineering Applications of Artificial Intelligence.

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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