Kai Lin

467 citations
24 papers · 347 · h-index 10

Impact in

Papers in

Kai Lin

23 papers receiving 337 citations

Peers

Kai Lin
Comparison fields: 5 of 46
  • Computer Science Applications 70
  • Media Technology 105
  • Transportation 39
  • Computer Networks and Communications 102
  • Information Systems 89
Replace Hengrun Zhang with:
Hengrun Zhang China
Rong Du China
Haichuan Ding China
Soochang Park South Korea
Antonio M. Ortiz Spain
Arsham Farshad United Kingdom
Haolin Liu China
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 202175
2 201458
3 202038
4 201929
5 202123
6 202116
7 202215
8 201913
9 202112
10 202010
11 20218
12 20188
13 20237
14 20236
15 20115
16 20225
17 20185
18 20214
19 20243
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 347 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), Energy Efficient Wireless Sensor Networks (3 papers), Advanced Graph Neural Networks (3 papers), IPv6, Mobility, Handover, Networks, Security (3 papers) and IoT Networks and Protocols (2 papers). The work is most often cited by research in Computer Science Applications (70 citations), Media Technology (105 citations), Transportation (39 citations), Computer Networks and Communications (102 citations) and Information Systems (89 citations). Kai Lin has collaborated with scholars based in China, Russia and Australia. Frequent co-authors include Honglong Chen, Zhibo Wang, Jiguo Yu, Na Yan, Guoqi Ma, Leyi Shi, Zhe Li, Geyong Min, Yanming Shen and Keqiu Li. Their work appears in journals such as IEEE Access, IEEE Transactions on Industrial Informatics, Journal of Network and Computer Applications, IEEE Transactions on Mobile Computing and IEEE Transactions on Intelligent Transportation 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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