Guolei Yang

563 total citations
12 papers, 189 citations indexed

About

Guolei Yang is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Guolei Yang has authored 12 papers receiving a total of 189 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Signal Processing, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Computer Networks and Communications. Recurrent topics in Guolei Yang's work include Data Management and Algorithms (5 papers), Human Mobility and Location-Based Analysis (4 papers) and Advanced Database Systems and Queries (3 papers). Guolei Yang is often cited by papers focused on Data Management and Algorithms (5 papers), Human Mobility and Location-Based Analysis (4 papers) and Advanced Database Systems and Queries (3 papers). Guolei Yang collaborates with scholars based in United States, China and Israel. Guolei Yang's co-authors include Ying Cai, Neil Zhenqiang Gong, Chandan K. Reddy, Andreas Züfle, Luhong Liang, Wen Gao, Zhenyu Wang, Jun Sun, Debin Zhao and Xianguo Zhang and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Journal of Signal Processing Systems and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Guolei Yang

11 papers receiving 185 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guolei Yang United States	7	127	60	50	35	28	12	189
Renjun Hu China	8	125 1.0×	68 1.1×	53 1.1×	73 2.1×	36 1.3×	18	248
Junmei Wang China	9	124 1.0×	105 1.8×	53 1.1×	8 0.2×	39 1.4×	24	228
Yitan Li China	5	79 0.6×	20 0.3×	36 0.7×	11 0.3×	26 0.9×	6	128
Giuseppe M. Mazzeo Italy	8	117 0.9×	31 0.5×	60 1.2×	5 0.1×	25 0.9×	16	190
Lixin Su United States	6	173 1.4×	122 2.0×	11 0.2×	9 0.3×	50 1.8×	10	244
Shuai Xu China	7	62 0.5×	64 1.1×	36 0.7×	86 2.5×	16 0.6×	34	211
Dan Vodislav France	6	91 0.7×	44 0.7×	53 1.1×	7 0.2×	15 0.5×	13	141
Yanmin Shang China	7	181 1.4×	75 1.3×	17 0.3×	5 0.1×	19 0.7×	26	221
Huadi Zheng Hong Kong	8	281 2.2×	29 0.5×	21 0.4×	27 0.8×	25 0.9×	15	327
Jiarong Xu China	10	174 1.4×	38 0.6×	22 0.4×	3 0.1×	36 1.3×	26	223

Countries citing papers authored by Guolei Yang

Since Specialization

Citations

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

Fields of papers citing papers by Guolei Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guolei Yang

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

12 of 12 papers shown

1.

Yang, Guolei & Ying Cai. (2018). Querying a Collection of Continuous Functions. IEEE Transactions on Knowledge and Data Engineering. 30(9). 1783–1795.

2.

Yang, Guolei, Ying Cai, & Chandan K. Reddy. (2018). Spatio-Temporal Check-in Time Prediction with Recurrent Neural Network based Survival Analysis. 2976–2983. 24 indexed citations

3.

Yang, Guolei, Ying Cai, & Chandan K. Reddy. (2018). Recurrent Spatio-Temporal Point Process for Check-in Time Prediction. 2203–2211. 12 indexed citations

4.

Yang, Guolei, et al.. (2018). Detecting Adversarial Examples Through Image Transformation. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 45 indexed citations

5.

Yang, Guolei, Neil Zhenqiang Gong, & Ying Cai. (2017). Fake Co-visitation Injection Attacks to Recommender Systems. 67 indexed citations

6.

Yang, Guolei & Ying Cai. (2017). Querying Improvement Strategies. Movebank. 294–305. 4 indexed citations

7.

Yang, Guolei & Andreas Züfle. (2017). Spatio-temporal prediction of social connections. 1–6. 8 indexed citations

8.

Yang, Guolei & Ying Cai. (2017). Full Location Privacy Protection Through Restricted Space Cloaking. Journal of Information Processing. 25(0). 756–765. 4 indexed citations

9.

Yang, Guolei, et al.. (2016). Authentication of function queries. 337–348. 9 indexed citations

10.

Yang, Guolei & Andreas Züfle. (2016). Spatio-Temporal Site Recommendation. 12. 1173–1178. 8 indexed citations

11.

Yang, Guolei, Luhong Liang, & Wen Gao. (2010). An epipolar resticted inter-mode selection for stereoscopic video encoding. 338–341. 2 indexed citations

12.

Wang, Zhenyu, Luhong Liang, Guolei Yang, et al.. (2010). A Novel Macro-Block Group Based AVS Coding Scheme for Many-Core Processor. Journal of Signal Processing Systems. 65(1). 129–145. 6 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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