Peiyi Tang

62 total papers · 557 total citations
44 papers, 358 citations indexed

About

Peiyi Tang is a scholar working on Hardware and Architecture, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Peiyi Tang has authored 44 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Hardware and Architecture, 24 papers in Computer Networks and Communications and 14 papers in Artificial Intelligence. Recurrent topics in Peiyi Tang's work include Parallel Computing and Optimization Techniques (24 papers), Embedded Systems Design Techniques (11 papers) and Distributed systems and fault tolerance (9 papers). Peiyi Tang is often cited by papers focused on Parallel Computing and Optimization Techniques (24 papers), Embedded Systems Design Techniques (11 papers) and Distributed systems and fault tolerance (9 papers). Peiyi Tang collaborates with scholars based in United States, Australia and China. Peiyi Tang's co-authors include Pen-Chung Yew, Erich A. Peterson, Jingling Xue, Chenyang Zhu, Chia-Chu Chiang, Kyle A. Gallivan, Ningning Wu and Yuki Muraoka and has published in prestigious journals such as IEEE Transactions on Computers, Journal of Parallel and Distributed Computing and Parallel Computing.

In The Last Decade

Peiyi Tang

39 papers receiving 322 citations

Author Peers

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

Author						Papers	Cites
Peiyi Tang	257	241	110	71	59	44	358
Jia Zou	210 0.8×	151 0.6×	126 1.1×	110 1.5×	47 0.8×	29	388
Peter A. Buhr	292 1.1×	193 0.8×	129 1.2×	104 1.5×	37 0.6×	38	392
Kim P. Gostelow	213 0.8×	217 0.9×	39 0.4×	122 1.7×	95 1.6×	25	363
Richard Y. Kain	190 0.7×	106 0.4×	31 0.3×	96 1.4×	57 1.0×	40	308
Marcin Szpyrka	159 0.6×	77 0.3×	84 0.8×	115 1.6×	128 2.2×	43	364
Yuan‐Shin Hwang	225 0.9×	274 1.1×	44 0.4×	66 0.9×	31 0.5×	39	335
C. Rodrı́guez	205 0.8×	192 0.8×	39 0.4×	69 1.0×	34 0.6×	51	326
D.C. Schmidt	241 0.9×	196 0.8×	66 0.6×	86 1.2×	38 0.6×	21	359
Keith Seymour	254 1.0×	241 1.0×	96 0.9×	47 0.7×	31 0.5×	23	333
Toshitsugu Yuba	280 1.1×	288 1.2×	35 0.3×	48 0.7×	42 0.7×	38	372

Countries citing papers authored by Peiyi Tang

Since Specialization

Citations

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

Fields of papers citing papers by Peiyi Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peiyi Tang

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