Saiqin Long

69 total papers · 991 total citations
57 papers, 651 citations indexed

About

Saiqin Long is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Saiqin Long has authored 57 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Networks and Communications, 24 papers in Information Systems and 17 papers in Artificial Intelligence. Recurrent topics in Saiqin Long's work include IoT and Edge/Fog Computing (21 papers), Cloud Computing and Resource Management (15 papers) and Mobile Crowdsensing and Crowdsourcing (12 papers). Saiqin Long is often cited by papers focused on IoT and Edge/Fog Computing (21 papers), Cloud Computing and Resource Management (15 papers) and Mobile Crowdsensing and Crowdsourcing (12 papers). Saiqin Long collaborates with scholars based in China, South Korea and Japan. Saiqin Long's co-authors include Zhetao Li, Yuelong Zhao, Wei Chen, Anfeng Liu, Qingyong Deng, Yanchun Li, Kenli Li, Zhuo Tang, Songtao Guo and Pengzhan Zhou and has published in prestigious journals such as IEEE Transactions on Image Processing, Energy and Buildings and Information Sciences.

In The Last Decade

Saiqin Long

49 papers receiving 621 citations

Author Peers

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

Author						Papers	Cites
Saiqin Long	390	279	133	116	68	57	651
Husnu S. Narman	291 0.7×	192 0.7×	123 0.9×	134 1.2×	104 1.5×	60	662
Tong Liu	314 0.8×	141 0.5×	113 0.8×	172 1.5×	78 1.1×	45	559
Mudassar Ahmad	320 0.8×	231 0.8×	129 1.0×	180 1.6×	21 0.3×	64	684
Qingqi Pei	388 1.0×	240 0.9×	261 2.0×	211 1.8×	79 1.2×	72	764
Huahu Xu	258 0.7×	267 1.0×	281 2.1×	78 0.7×	62 0.9×	55	782
Deyu Qi	431 1.1×	344 1.2×	119 0.9×	92 0.8×	110 1.6×	92	719
Teemu Leppänen	447 1.1×	196 0.7×	84 0.6×	121 1.0×	35 0.5×	33	654
Kaimin Wei	361 0.9×	93 0.3×	206 1.5×	148 1.3×	95 1.4×	38	698
Guangwei Bai	417 1.1×	117 0.4×	106 0.8×	227 2.0×	33 0.5×	73	714
Hongwei Du	333 0.9×	135 0.5×	117 0.9×	148 1.3×	29 0.4×	71	739

Countries citing papers authored by Saiqin Long

Since Specialization

Citations

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

Fields of papers citing papers by Saiqin Long

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saiqin Long

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