Paishun Ting

25 total papers · 1.1k total citations
16 papers, 381 citations indexed

About

Paishun Ting is a scholar working on Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Paishun Ting has authored 16 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 10 papers in Computer Networks and Communications and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Paishun Ting's work include Error Correcting Code Techniques (9 papers), Quantum Computing Algorithms and Architecture (6 papers) and Wireless Communication Security Techniques (4 papers). Paishun Ting is often cited by papers focused on Error Correcting Code Techniques (9 papers), Quantum Computing Algorithms and Architecture (6 papers) and Wireless Communication Security Techniques (4 papers). Paishun Ting collaborates with scholars based in United States and Taiwan. Paishun Ting's co-authors include John P. Hayes, Pin‐Yu Chen, Shin‐Ming Cheng, Sijia Liu, Chun‐Chen Tu, Huan Zhang, Jinfeng Yi, Cho‐Jui Hsieh, Fu-Jen Chu and Bhavya Kailkhura and has published in prestigious journals such as IEEE Communications Magazine, IEEE Transactions on Signal and Information Processing over Networks and IET Computers & Digital Techniques.

In The Last Decade

Paishun Ting

15 papers receiving 372 citations

Author Peers

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

Author						Papers	Cites
Paishun Ting	310	124	102	68	44	16	381
Yu-Xiang Wang	102 0.3×	154 1.2×	87 0.9×	35 0.5×	22 0.5×	12	341
Yanwei Xu	118 0.4×	182 1.5×	52 0.5×	84 1.2×	24 0.5×	25	377
Shengdong Xie	91 0.3×	173 1.4×	114 1.1×	32 0.5×	22 0.5×	16	338
Borja Balle	350 1.1×	37 0.3×	27 0.3×	34 0.5×	23 0.5×	37	404
Erik Tews	240 0.8×	157 1.3×	102 1.0×	50 0.7×	70 1.6×	23	446
Kaixuan Ji	284 0.9×	59 0.5×	42 0.4×	96 1.4×	23 0.5×	15	445
Nikola Milosavljević	116 0.4×	211 1.7×	77 0.8×	31 0.5×	24 0.5×	10	366
Ziyue Huang	203 0.7×	40 0.3×	48 0.5×	120 1.8×	10 0.2×	14	366
F. Bourgeois	138 0.4×	81 0.7×	112 1.1×	75 1.1×	33 0.8×	16	419
Thomas C. Bartee	174 0.6×	72 0.6×	84 0.8×	20 0.3×	20 0.5×	24	408

Countries citing papers authored by Paishun Ting

Since Specialization

Citations

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

Fields of papers citing papers by Paishun Ting

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paishun Ting

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