Lin Gao

5.0k citations
179 papers · 3.4k · h-index 27

Impact in

Papers in

Lin Gao

168 papers receiving 3.4k citations

Peers

Lin Gao
Comparison fields: 5 of 101
  • Computer Networks and Communications 2.2k
  • Computer Science Applications 322
  • Media Technology 371
  • Management Science and Operations Research 505
  • Electrical and Electronic Engineering 1.6k
Replace Kary Främling with:
Kary Främling Finland
Gongjun Yan United States
Keliang Zhou China
Kijun Han South Korea
Pingyu Jiang China
Luı́s Muñoz Spain
Michele Nitti Italy
R. Ramaswamy India
Kostas Kolomvatsos Greece
Davor Svetinović United Arab Emirates
Lin Gao relative to Kary Främling Finland Kary Främling's profile →
Citations per field
00.5×6.9×
Kary Främling · 1×
Citations per year

Countries citing papers authored by Lin Gao

Since Specialization
Citations

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

Fields of papers citing papers by Lin Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 179 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011307
2 2017193
3 2012178
4 2014163
5 2010156
6 2014111
7 201393
8 201073
9 202173
10 202268
11
An iterative double auction for mobile data offloading
201364
12 201362
13 201259
14 200955
15 201754
16 200853
17 201453
18 201750
19 201446
20 201045

About Lin Gao

Lin Gao is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Media Technology, Management Science and Operations Research and Artificial Intelligence, having authored 179 papers that have together received 3.4k indexed citations. Recurring topics across this work include ICT Impact and Policies (33 papers), Caching and Content Delivery (30 papers), Advanced MIMO Systems Optimization (28 papers), Auction Theory and Applications (27 papers), Cooperative Communication and Network Coding (23 papers), Cognitive Radio Networks and Spectrum Sensing (19 papers), IoT and Edge/Fog Computing (18 papers) and Privacy-Preserving Technologies in Data (17 papers). The work is most often cited by research in Computer Networks and Communications (2.2k citations), Computer Science Applications (322 citations), Media Technology (371 citations), Management Science and Operations Research (505 citations) and Electrical and Electronic Engineering (1.6k citations). Lin Gao has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Jianwei Huang, Xinbing Wang, George Iosifidis, Leandros Tassiulas, Youyun Xu, Lingjie Duan, Qian Zhang, Ming Tang, Xu Chen and Zhiyuan Wang. Their work appears in journals such as IEEE Transactions on Mobile Computing, IEEE Internet of Things Journal, IEEE Journal on Selected Areas in Communications, IEEE Transactions on Vehicular Technology and IEEE/ACM Transactions on 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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