Yinglong Xia

490 total citations
14 papers, 318 citations indexed

About

Yinglong Xia is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Yinglong Xia has authored 14 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 5 papers in Computer Networks and Communications. Recurrent topics in Yinglong Xia's work include Graph Theory and Algorithms (10 papers), Advanced Graph Neural Networks (7 papers) and Caching and Content Delivery (3 papers). Yinglong Xia is often cited by papers focused on Graph Theory and Algorithms (10 papers), Advanced Graph Neural Networks (7 papers) and Caching and Content Delivery (3 papers). Yinglong Xia collaborates with scholars based in United States, Taiwan and Netherlands. Yinglong Xia's co-authors include Lifeng Nai, Ching‐Yung Lin, Hyesoon Kim, Viktor K. Prasanna, Mihai Capotă, Michael Anderson, Narayanan Sundaram, Alexandru Iosup, Peter Boncz and Arnau Prat-Pèrez and has published in prestigious journals such as Proceedings of the VLDB Endowment, Journal of Parallel and Distributed Computing and Uncertainty in Artificial Intelligence.

In The Last Decade

Yinglong Xia

14 papers receiving 304 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yinglong Xia United States	7	182	156	137	113	107	14	318
Virat Agarwal United States	9	141 0.8×	180 1.2×	145 1.1×	108 1.0×	53 0.5×	13	317
Jianlong Zhong Singapore	10	235 1.3×	233 1.5×	203 1.5×	137 1.2×	183 1.7×	19	426
Farzad Khorasani United States	9	275 1.5×	198 1.3×	204 1.5×	163 1.4×	126 1.2×	11	412
Carl Yang United States	10	215 1.2×	130 0.8×	150 1.1×	137 1.2×	56 0.5×	12	304
Zhijia Zhao United States	12	174 1.0×	239 1.5×	284 2.1×	208 1.8×	107 1.0×	43	498
Roshan Dathathri United States	12	258 1.4×	165 1.1×	123 0.9×	262 2.3×	122 1.1×	22	456
Abdullah Gharaibeh Canada	10	123 0.7×	258 1.7×	139 1.0×	104 0.9×	177 1.7×	16	374
Kaiwei Li China	8	142 0.8×	87 0.6×	83 0.6×	108 1.0×	75 0.7×	16	276
Xiaowei Zhu China	6	387 2.1×	172 1.1×	137 1.0×	238 2.1×	202 1.9×	21	497
Yuduo Wu United States	6	324 1.8×	159 1.0×	183 1.3×	197 1.7×	119 1.1×	6	416

Countries citing papers authored by Yinglong Xia

Since Specialization

Citations

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

Fields of papers citing papers by Yinglong Xia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yinglong Xia

This figure shows the co-authorship network connecting the top 25 collaborators of Yinglong Xia. A scholar is included among the top collaborators of Yinglong Xia 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 Yinglong Xia. Yinglong Xia 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:

14 of 14 papers shown

1.

Zhou, L. P., Ren Chen, Yinglong Xia, & Radu Teodorescu. (2018). C-Graph. 14. 1–10. 3 indexed citations

2.

Wu, Lingfei, Pin‐Yu Chen, Ian En-Hsu Yen, et al.. (2018). Scalable Spectral Clustering Using Random Binning Features. 2506–2515. 29 indexed citations

3.

Wen, Qingsong, Ren Chen, Lifeng Nai, L. P. Zhou, & Yinglong Xia. (2017). Finding Top K Shortest Simple Paths with Improved Space Efficiency. 23. 1–6. 3 indexed citations

4.

Iosup, Alexandru, Tim Hegeman, Arnau Prat-Pèrez, et al.. (2016). LDBC graphalytics. Proceedings of the VLDB Endowment. 9(13). 1317–1328. 82 indexed citations

5.

Nai, Lifeng, et al.. (2016). Exploring big graph computing — An empirical study from architectural perspective. Journal of Parallel and Distributed Computing. 108. 122–137. 9 indexed citations

6.

Nai, Lifeng, et al.. (2015). GraphBIG. 1–12. 128 indexed citations

7.

Huang, Chun-Hsi, et al.. (2015). Reconfigurable filter bank design via principal component analysis and low rank approximation. 19. 473–477. 1 indexed citations

8.

Chen, Chun-Fu Richard, et al.. (2015). Efficient Multi-training Framework of Image Deep Learning on GPU Cluster. 23. 489–494. 5 indexed citations

9.

Xia, Yinglong, Jui-Hsin Lai, Lifeng Nai, & Ching‐Yung Lin. (2014). Concurrent image query using local random walk with restart on large scale graphs. 1–6. 3 indexed citations

10.

Xia, Yinglong, et al.. (2014). A Highly Efficient Runtime and Graph Library for Large Scale Graph Analytics. 1–6. 16 indexed citations

11.

Xia, Yinglong, et al.. (2014). Graph analytics and storage. 8. 942–951. 10 indexed citations

12.

Wang, Jun & Yinglong Xia. (2012). Fast graph construction using auction algorithm. Uncertainty in Artificial Intelligence. 873–882. 6 indexed citations

13.

Wang, Qingbo, Weirong Jiang, Yinglong Xia, & Viktor K. Prasanna. (2010). A message-passing multi-softcore architecture on FPGA for Breadth-first Search. 70–77. 21 indexed citations

14.

Xia, Yinglong & Viktor K. Prasanna. (2008). Parallel exact inference on the Cell Broadband Engine processor. 1–12. 2 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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