Bin Dai

493 total citations
15 papers, 202 citations indexed

About

Bin Dai is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, Bin Dai has authored 15 papers receiving a total of 202 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Networks and Communications, 4 papers in Electrical and Electronic Engineering and 3 papers in Information Systems. Recurrent topics in Bin Dai's work include Software-Defined Networks and 5G (6 papers), Caching and Content Delivery (5 papers) and Network Traffic and Congestion Control (5 papers). Bin Dai is often cited by papers focused on Software-Defined Networks and 5G (6 papers), Caching and Content Delivery (5 papers) and Network Traffic and Congestion Control (5 papers). Bin Dai collaborates with scholars based in China, Canada and Japan. Bin Dai's co-authors include Xu Guan, Yang Xu, Benxiong Huang, Furong Wang, Fanglin Xu, Fan Zhang, Xia Xie, Yijun Mo, Jian Liu and Jianhua Ma and has published in prestigious journals such as Neurocomputing, Computer Networks and Journal of Network and Computer Applications.

In The Last Decade

Bin Dai

13 papers receiving 193 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bin Dai China 7 170 69 68 14 11 15 202
Arshad Ali Pakistan 9 141 0.8× 102 1.5× 42 0.6× 16 1.1× 13 1.2× 31 219
Glaucio H. S. Carvalho Canada 10 216 1.3× 150 2.2× 48 0.7× 33 2.4× 8 0.7× 47 265
Jiong Lou China 9 182 1.1× 29 0.4× 106 1.6× 15 1.1× 18 1.6× 33 220
Shuping Peng Spain 6 277 1.6× 167 2.4× 49 0.7× 14 1.0× 30 2.7× 20 323
Olivier Alphand France 6 196 1.2× 68 1.0× 153 2.3× 33 2.4× 13 1.2× 10 254
Ioannis Giannoulakis Greece 10 269 1.6× 179 2.6× 46 0.7× 14 1.0× 26 2.4× 18 318
Christina Thorpe Ireland 10 166 1.0× 77 1.1× 67 1.0× 41 2.9× 22 2.0× 31 237
Abdelkader Outtagarts France 8 252 1.5× 104 1.5× 57 0.8× 31 2.2× 9 0.8× 26 282
Miguel Angel Puente Spain 6 250 1.5× 196 2.8× 30 0.4× 13 0.9× 25 2.3× 8 306

Countries citing papers authored by Bin Dai

Since Specialization
Citations

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

Fields of papers citing papers by Bin Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Dai. A scholar is included among the top collaborators of Bin Dai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bin Dai. Bin Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Dai, Bin, et al.. (2024). SP-DG: A programmable packet-level scheduling for queuing delay guarantees in time-critical networks. Computer Networks. 250. 110614–110614.
2.
Dai, Bin, et al.. (2024). aCroSS: AI-driven cross-layer adaptive streaming for short video applications. Computer Networks. 254. 110832–110832.
3.
Dai, Bin, et al.. (2022). IQoR-LSE: An Intelligent QoS On-Demand Routing Algorithm With Link State Estimation. IEEE Systems Journal. 16(4). 5821–5830. 6 indexed citations
4.
Dai, Bin, et al.. (2021). Routing optimization meets Machine Intelligence: A perspective for the future network. Neurocomputing. 459. 44–58. 22 indexed citations
5.
Dai, Bin, et al.. (2020). IQoR: An Intelligent QoS-aware Routing Mechanism with Deep Reinforcement Learning. 329–332. 4 indexed citations
6.
Dai, Bin, et al.. (2020). Hybrid Sensing Data Fusion of Cooperative Perception for Autonomous Driving With Augmented Vehicular Reality. IEEE Systems Journal. 15(1). 1413–1422. 31 indexed citations
7.
Dai, Bin, et al.. (2017). Enabling network innovation in data center networks with software defined networking: A survey. Journal of Network and Computer Applications. 94. 33–49. 32 indexed citations
8.
Dai, Bin, et al.. (2015). Bandwidth-Aware Scheduling With SDN in Hadoop: A New Trend for Big Data. IEEE Systems Journal. 11(4). 2337–2344. 66 indexed citations
9.
Dai, Bin, et al.. (2015). Taking a free ride for routing topology inference in peer-to-peer networks. Peer-to-Peer Networking and Applications. 9(6). 1047–1059. 2 indexed citations
10.
Xie, Xia & Bin Dai. (2014). Sensor Placement in the Ultrasonic Positioning System. 1. 3 indexed citations
11.
Dai, Bin, Furong Wang, Jianhua Ma, & Jian Liu. (2008). Enhanced Chord-Based Routing Protocol Using Neighbors' Neighbors Links. 463–466. 4 indexed citations
12.
Zhang, Fan, et al.. (2008). Performance Evaluation of IEEE 802.15.4 Beacon-Enabled Association Process. 23 indexed citations
13.
Dai, Bin, et al.. (2006). Performance analysis of signaling using SigComp scheme in narrowband system. 1. 376–379. 6 indexed citations
14.
Dai, Bin, Furong Wang, & Jian Liu. (2006). A Self-Organizing P2P System for VoIP Application. 1. 196–199. 2 indexed citations
15.
Dai, Bin, et al.. (2006). Improvement of Network Load and Fault-Tolerant of P2P DHT Systems. 187–190. 1 indexed citations

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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