Shaolong Cui

666 total citations · 1 hit paper
7 papers, 535 citations indexed

About

Shaolong Cui is a scholar working on Computer Networks and Communications, Signal Processing and Media Technology. According to data from OpenAlex, Shaolong Cui has authored 7 papers receiving a total of 535 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Networks and Communications, 2 papers in Signal Processing and 2 papers in Media Technology. Recurrent topics in Shaolong Cui's work include Data Management and Algorithms (2 papers), Remote-Sensing Image Classification (1 paper) and Air Quality and Health Impacts (1 paper). Shaolong Cui is often cited by papers focused on Data Management and Algorithms (2 papers), Remote-Sensing Image Classification (1 paper) and Air Quality and Health Impacts (1 paper). Shaolong Cui collaborates with scholars based in China, Germany and Taiwan. Shaolong Cui's co-authors include Xiaojing Yao, Tianhe Chi, Chengzeng You, Ling Peng, Yuan Hu, Li Xiang, Dehai Zhu, Changxiu Cheng, Changqing Song and Sijing Ye and has published in prestigious journals such as Environmental Pollution, Remote Sensing and Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft).

In The Last Decade

Shaolong Cui

7 papers receiving 526 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Long short-term memory neural network for air pollutant concentration predictions: Method development and evaluation

2017 491 citations Li Xiang, Ling Peng et al. Environmental Pollution profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Shaolong Cui China	3	417	328	148	94	71	7	535
Chengzeng You China	3	416 1.0×	328 1.0×	148 1.0×	97 1.0×	62 0.9×	7	507
Sheen Mclean Cabaneros United Kingdom	6	337 0.8×	252 0.8×	101 0.7×	72 0.8×	64 0.9×	8	451
Guojian Zou China	10	408 1.0×	320 1.0×	172 1.2×	79 0.8×	63 0.9×	18	556
Jiaqiang Liao China	9	297 0.7×	215 0.7×	92 0.6×	90 1.0×	89 1.3×	14	516
Unsok Ryu China	5	319 0.8×	266 0.8×	131 0.9×	78 0.8×	40 0.6×	7	485
Shufu Liu China	6	308 0.7×	227 0.7×	116 0.8×	93 1.0×	114 1.6×	14	446
Zhiwei Wan China	4	267 0.6×	213 0.6×	101 0.7×	62 0.7×	89 1.3×	7	398
Samu Varjonen Finland	12	442 1.1×	313 1.0×	180 1.2×	107 1.1×	96 1.4×	25	684
Huaxing Lin China	11	323 0.8×	251 0.8×	94 0.6×	49 0.5×	80 1.1×	16	570
David Hasenfratz Switzerland	11	510 1.2×	367 1.1×	161 1.1×	96 1.0×	105 1.5×	17	797

Countries citing papers authored by Shaolong Cui

Since Specialization

Citations

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

Fields of papers citing papers by Shaolong Cui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaolong Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Shaolong Cui. A scholar is included among the top collaborators of Shaolong Cui 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 Shaolong Cui. Shaolong Cui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Yao, Xiaojing, Dacheng Wang, Liujia Chen, Shaolong Cui, & Tianhe Chi. (2018). A spatial co-location mining algorithm based on a spatial continuous field with refined road-network constraints. 40. 5049–5052. 1 indexed citations

2.

Cui, Shaolong, et al.. (2018). A Multi-Frequency Acquisition Algorithm for a Gnss Software Receiver. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1082–1085. 1 indexed citations

3.

Ye, Sijing, Diyou Liu, Xiaochuang Yao, et al.. (2018). RDCRMG: A Raster Dataset Clean & Reconstitution Multi-Grid Architecture for Remote Sensing Monitoring of Vegetation Dryness. Remote Sensing. 10(9). 1376–1376. 37 indexed citations

4.

Xiang, Li, Ling Peng, Xiaojing Yao, et al.. (2017). Long short-term memory neural network for air pollutant concentration predictions: Method development and evaluation. Environmental Pollution. 231(Pt 1). 997–1004. 491 indexed citations breakdown →

5.

Liu, Yalan, Tianhe Chi, Xiaojing Yao, et al.. (2017). Design and implementation of community safety management oriented public information platform for a smart city. 330–332. 3 indexed citations

6.

Xiao, Zhuojian, Qiang Qiu, Jinyun Fang, & Shaolong Cui. (2017). A vector map overlay algorithm based on distributed queue. 6098–6101. 1 indexed citations

7.

Cui, Shaolong, et al.. (2011). The optimizations of FFT algorithm in GPS software receiver. 6. 1–6. 1 indexed citations

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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