Yi Gai

1.2k citations
21 papers · 641 · h-index 11

Impact in

Papers in

Yi Gai

21 papers receiving 623 citations

Peers

Yi Gai
Comparison fields: 5 of 44
  • Management Science and Operations Research 387
  • Computer Networks and Communications 462
  • Computer Science Applications 41
  • Electrical and Electronic Engineering 327
  • Artificial Intelligence 153
Replace Teruyuki Hasegawa with:
Teruyuki Hasegawa Japan
Richard Combes France
James Neel United States
David Kao United States
Siavash Bayat Iran
Aditya Gopalan India
Liyao Xiang China
Rami Mochaourab Germany
Jean Leneutre France
Vladan Jovanović United States
Yi Gai relative to Teruyuki Hasegawa Japan Teruyuki Hasegawa's profile →
Citations per field
00.5×8.8×
Teruyuki Hasegawa · 1×
Citations per year

Countries citing papers authored by Yi Gai

Since Specialization
Citations

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

Fields of papers citing papers by Yi Gai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Yi Gai, 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 Yi Gai Line = papers co-authored together Yi Gai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012211
2 2010139
3 201155
4 201446
5 200740
6 201132
7 201019
8 201117
9 201113
10 201412
11 201111
12 201210
13 201210
14 20076
15 20095
16 20115
17 20164
18 20193
19 20091
20 20191

About Yi Gai

Yi Gai is a scholar working on Computer Networks and Communications, Management Science and Operations Research, Electrical and Electronic Engineering, Artificial Intelligence and Hardware and Architecture, having authored 21 papers that have together received 641 indexed citations. Recurring topics across this work include Advanced Bandit Algorithms Research (11 papers), Advanced Wireless Network Optimization (5 papers), Optimization and Search Problems (5 papers), Cognitive Radio Networks and Spectrum Sensing (5 papers), Reinforcement Learning in Robotics (4 papers), Advanced MIMO Systems Optimization (4 papers), Smart Grid Energy Management (3 papers) and Real-Time Systems Scheduling (2 papers). The work is most often cited by research in Management Science and Operations Research (387 citations), Computer Networks and Communications (462 citations), Computer Science Applications (41 citations), Electrical and Electronic Engineering (327 citations) and Artificial Intelligence (153 citations). Yi Gai has collaborated with scholars based in United States and China. Frequent co-authors include Bhaskar Krishnamachari, Rahul Jain, B. Krishnamachari, Xiuming Shan, Lin Zhang, Qing Zhao, Mingyan Liu, Hua Liu, Wenhan Dai and Ashwin Sridharan. Their work appears in journals such as Computer Networks, IEEE Transactions on Signal Processing, IEEE/ACM Transactions on Networking, Panminerva Medica and PubMed.

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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