John Tang

21 total papers · 1.0k total citations
8 papers, 387 citations indexed

About

John Tang is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Automotive Engineering. According to data from OpenAlex, John Tang has authored 8 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 5 papers in Statistical and Nonlinear Physics and 1 paper in Automotive Engineering. Recurrent topics in John Tang's work include Complex Network Analysis Techniques (5 papers), Opportunistic and Delay-Tolerant Networks (4 papers) and Peer-to-Peer Network Technologies (2 papers). John Tang is often cited by papers focused on Complex Network Analysis Techniques (5 papers), Opportunistic and Delay-Tolerant Networks (4 papers) and Peer-to-Peer Network Technologies (2 papers). John Tang collaborates with scholars based in United Kingdom, Italy and Canada. John Tang's co-authors include Cecilia Mascolo, Mirco Musolesi, Vito Latora, Vincenzo Nicosia, Hyoungshick Kim, Ross Anderson, R. Viswanath, Debendra Mallik, Ravi Mahajan and Chia‐Pin Chiu and has published in prestigious journals such as ACM SIGCOMM Computer Communication Review, MRS Bulletin and Computer Networks.

In The Last Decade

John Tang

8 papers receiving 366 citations

Author Peers

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

Author						Papers	Cites
John Tang	217	186	63	39	36	8	387
Lauri Kovanen	303 1.4×	67 0.4×	74 1.2×	60 1.5×	52 1.4×	6	407
Muhammad Aqib Javed	224 1.0×	63 0.3×	27 0.4×	28 0.7×	118 3.3×	10	368
Xiao-Long Ren	265 1.2×	80 0.4×	18 0.3×	20 0.5×	65 1.8×	20	377
Dónal Doyle	274 1.3×	94 0.5×	28 0.4×	54 1.4×	169 4.7×	9	420
Suqi Cheng	297 1.4×	119 0.6×	23 0.4×	20 0.5×	89 2.5×	6	356
Fabio Pezzoni	146 0.7×	99 0.5×	70 1.1×	16 0.4×	33 0.9×	11	335
Atif Nazir	124 0.6×	135 0.7×	13 0.2×	71 1.8×	42 1.2×	10	348
Xiangrong Wang	147 0.7×	57 0.3×	45 0.7×	156 4.0×	44 1.2×	20	428
Jilong Liao	68 0.3×	196 1.1×	40 0.6×	47 1.2×	99 2.8×	10	404
Mirjam Wattenhofer	86 0.4×	195 1.0×	11 0.2×	35 0.9×	31 0.9×	10	337

Countries citing papers authored by John Tang

Since Specialization

Citations

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

Fields of papers citing papers by John Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Tang

This figure shows the co-authorship network connecting the top 25 collaborators of John Tang. A scholar is included among the top collaborators of John 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 John Tang. John 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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