Feilong Lin

938 citations
54 papers · 631 · h-index 15

Impact in

Papers in

Feilong Lin

48 papers receiving 618 citations

Peers

Feilong Lin
Comparison fields: 5 of 66
  • Information Systems 208
  • Computer Networks and Communications 205
  • Computer Science Applications 34
  • Artificial Intelligence 177
  • Industrial and Manufacturing Engineering 40
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Yue Tan China
Adnan Mahmood Australia
Qinglei Kong China
Honghai Wu China
Sukant Kishoro Bisoy India
Yuanhang Qi China
Dapeng Lan China
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Citations per year

Countries citing papers authored by Feilong Lin

Since Specialization
Citations

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

Fields of papers citing papers by Feilong Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202093
2 202265
3 201546
4 202040
5 201937
6 202331
7 201629
8 201926
9 201923
10 202216
11 202215
12 202514
13 202214
14 202014
15 202214
16 202313
17 202511
18 201410
19 20189
20 20228

About Feilong Lin

Feilong Lin is a scholar working on Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 54 papers that have together received 631 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (16 papers), Privacy-Preserving Technologies in Data (11 papers), Energy Efficient Wireless Sensor Networks (10 papers), Energy Harvesting in Wireless Networks (8 papers), Distributed Sensor Networks and Detection Algorithms (6 papers), Cryptography and Data Security (4 papers), UAV Applications and Optimization (4 papers) and Distributed Control Multi-Agent Systems (4 papers). The work is most often cited by research in Information Systems (208 citations), Computer Networks and Communications (205 citations), Computer Science Applications (34 citations), Artificial Intelligence (177 citations) and Industrial and Manufacturing Engineering (40 citations). Feilong Lin has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Changbing Tang, Zheng Zheng, Zhongyu Chen, Riheng Jia, Minglu Li, Xinghuo Yu, Xinping Guan, Cailian Chen, Yongjin Ma and Yue Wang. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Access, IEEE Transactions on Vehicular Technology, IEEE Transactions on Industrial Informatics and EURASIP Journal on Wireless Communications and Networking.

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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