Bin Tang

203 total papers · 2.0k total citations
128 papers, 1.2k citations indexed

About

Bin Tang is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, Bin Tang has authored 128 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Computer Networks and Communications, 43 papers in Electrical and Electronic Engineering and 25 papers in Information Systems. Recurrent topics in Bin Tang's work include Cooperative Communication and Network Coding (27 papers), Caching and Content Delivery (20 papers) and Cloud Computing and Resource Management (17 papers). Bin Tang is often cited by papers focused on Cooperative Communication and Network Coding (27 papers), Caching and Content Delivery (20 papers) and Cloud Computing and Resource Management (17 papers). Bin Tang collaborates with scholars based in China, United States and Hong Kong. Bin Tang's co-authors include Baoliu Ye, Himanshu Gupta, Shenghao Yang, Sanglu Lu, Ya Tu, Zhaoyue Zhang, Yun Lin, Samir R. Das, Song Guo and Zhihao Qu and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Sensors.

In The Last Decade

Bin Tang

113 papers receiving 1.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Bin Tang	702	339	273	180	172	128	1.2k
Abdullah Al‐Dhelaan	680 1.0×	350 1.0×	410 1.5×	203 1.1×	180 1.0×	67	1.2k
Hong Zhang	766 1.1×	321 0.9×	189 0.7×	105 0.6×	274 1.6×	129	1.3k
Wei Li	395 0.6×	409 1.2×	476 1.7×	174 1.0×	175 1.0×	90	1.3k
Liang Hu	576 0.8×	171 0.5×	364 1.3×	194 1.1×	472 2.7×	139	1.3k
Gong Zhang	766 1.1×	390 1.2×	386 1.4×	117 0.7×	230 1.3×	90	1.2k
Beihong Jin	529 0.8×	506 1.5×	266 1.0×	191 1.1×	184 1.1×	113	1.2k
Huandong Wang	529 0.8×	341 1.0×	262 1.0×	117 0.7×	212 1.2×	87	1.2k
Feng Li	619 0.9×	423 1.2×	233 0.9×	87 0.5×	115 0.7×	83	1.1k
Shahram Latifi	545 0.8×	285 0.8×	202 0.7×	214 1.2×	146 0.8×	125	1.1k
Zuriati Ahmad Zukarnain	859 1.2×	502 1.5×	205 0.8×	107 0.6×	144 0.8×	135	1.3k

Countries citing papers authored by Bin Tang

Since Specialization

Citations

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

Fields of papers citing papers by Bin Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Tang. A scholar is included among the top collaborators of Bin Tang 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 Tang. Bin Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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