Peng Tu

63 total papers · 2.1k total citations
39 papers, 1.4k citations indexed

About

Peng Tu is a scholar working on Hardware and Architecture, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Peng Tu has authored 39 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Hardware and Architecture, 15 papers in Artificial Intelligence and 13 papers in Computer Networks and Communications. Recurrent topics in Peng Tu's work include Parallel Computing and Optimization Techniques (14 papers), Logic, programming, and type systems (8 papers) and Distributed systems and fault tolerance (5 papers). Peng Tu is often cited by papers focused on Parallel Computing and Optimization Techniques (14 papers), Logic, programming, and type systems (8 papers) and Distributed systems and fault tolerance (5 papers). Peng Tu collaborates with scholars based in United States, China and Saudi Arabia. Peng Tu's co-authors include David Padua, Hong Zhu, Xiaoqin Zeng, Raymond Lo, Fred Chow, Shin-Ming Liu, Robert E. Kennedy, Hao Zhou, Wei Liu and Peipeng Jin and has published in prestigious journals such as Nano Letters, Scientific Reports and Chemical Engineering Journal.

In The Last Decade

Peng Tu

35 papers receiving 1.3k citations

Author Peers

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

Author						Papers	Cites
Peng Tu	360	312	308	251	232	39	1.4k
Yao Zhang	67 0.2×	222 0.7×	296 1.0×	77 0.3×	395 1.7×	81	1.6k
Wenchao Li	210 0.6×	110 0.4×	511 1.7×	60 0.2×	107 0.5×	75	1.3k
Yimin Wang	81 0.2×	222 0.7×	168 0.5×	79 0.3×	781 3.4×	78	1.8k
Xudong He	53 0.1×	545 1.7×	246 0.8×	45 0.2×	160 0.7×	144	1.6k
Jianqiang Luo	38 0.1×	185 0.6×	397 1.3×	131 0.5×	96 0.4×	55	1.2k
Changhao Yan	275 0.8×	209 0.7×	723 2.3×	74 0.3×	160 0.7×	108	1.2k
Jongsoo Park	452 1.3×	451 1.4×	270 0.9×	328 1.3×	190 0.8×	89	1.6k
Mahabubul Alam	71 0.2×	461 1.5×	171 0.6×	203 0.8×	303 1.3×	53	1.8k
Yimin Wang	42 0.1×	406 1.3×	541 1.8×	133 0.5×	89 0.4×	45	1.2k
Marco Grossi	35 0.1×	385 1.2×	478 1.6×	54 0.2×	37 0.2×	56	1.5k

Countries citing papers authored by Peng Tu

Since Specialization

Citations

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

Fields of papers citing papers by Peng Tu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Tu

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