Albert Yu

946 total citations
12 papers, 550 citations indexed

About

Albert Yu is a scholar working on Computer Networks and Communications, Signal Processing and Hardware and Architecture. According to data from OpenAlex, Albert Yu has authored 12 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 4 papers in Signal Processing and 3 papers in Hardware and Architecture. Recurrent topics in Albert Yu's work include Peer-to-Peer Network Technologies (4 papers), Caching and Content Delivery (4 papers) and Data Management and Algorithms (4 papers). Albert Yu is often cited by papers focused on Peer-to-Peer Network Technologies (4 papers), Caching and Content Delivery (4 papers) and Data Management and Algorithms (4 papers). Albert Yu collaborates with scholars based in United States and China. Albert Yu's co-authors include Kuo-Yi Lin, Wen-Chieh Shih, Wei Zhao, J.W.S. Liu, J.-Y. Chung, Pankaj K. Agarwal, Jun Yang, Бо Ли, Bin Peng and Kaiyu Guan and has published in prestigious journals such as Computer, Field Crops Research and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Albert Yu

11 papers receiving 500 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Albert Yu United States	6	284	271	106	77	62	12	550
Ali Akoglu United States	12	211 0.7×	220 0.8×	21 0.2×	34 0.4×	116 1.9×	95	609
Qingling Zhao China	13	241 0.8×	223 0.8×	58 0.5×	33 0.4×	69 1.1×	34	599
Olivier Pereira Belgium	17	77 0.3×	439 1.6×	41 0.4×	54 0.7×	606 9.8×	59	1.2k
Jon L. White United States	11	87 0.3×	71 0.3×	97 0.9×	32 0.4×	131 2.1×	14	404
Shahram Babaie Iran	14	20 0.1×	480 1.8×	81 0.8×	143 1.9×	237 3.8×	36	718
Jukka Teuhola Finland	10	36 0.1×	117 0.4×	51 0.5×	107 1.4×	167 2.7×	34	348
Ricki Blau United States	6	112 0.4×	89 0.3×	20 0.2×	9 0.1×	55 0.9×	7	469
Jianying Wang China	10	57 0.2×	180 0.7×	11 0.1×	53 0.7×	100 1.6×	23	383
José R. Paramá Spain	9	30 0.1×	89 0.3×	22 0.2×	76 1.0×	154 2.5×	40	267
Michael Dyer United States	9	43 0.2×	98 0.4×	68 0.6×	22 0.3×	205 3.3×	19	885

Countries citing papers authored by Albert Yu

Since Specialization

Citations

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

Fields of papers citing papers by Albert Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Albert Yu

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

Xu, Linfeng, et al.. (2025). Beehive: Decentralised High-Frequency Small Tasks Scheduling in Large Clusters. IEEE Transactions on Parallel and Distributed Systems. 36(6). 1326–1337. 1 indexed citations

2.

Li, Yan, Kaiyu Guan, Albert Yu, et al.. (2019). Toward building a transparent statistical model for improving crop yield prediction: Modeling rainfed corn in the U.S. Field Crops Research. 234. 55–65. 95 indexed citations

3.

Yu, Albert, Pankaj K. Agarwal, & Jun Yang. (2015). Top-$k$ Preferences in High Dimensions. IEEE Transactions on Knowledge and Data Engineering. 28(2). 311–325. 10 indexed citations

4.

Yu, Albert, Pankaj K. Agarwal, & Jun Yang. (2014). Top-k preferences in high dimensions. 748–759. 6 indexed citations

5.

Yu, Albert, Pankaj K. Agarwal, & Jun Yang. (2012). Processing a large number of continuous preference top- k queries. 397–408. 50 indexed citations

6.

Yu, Albert, Pankaj K. Agarwal, & Jun Yang. (2012). Subscriber Assignment for Wide-Area Content-Based Publish/Subscribe. IEEE Transactions on Knowledge and Data Engineering. 24(10). 1833–1847. 1 indexed citations

7.

Yu, Albert, Pankaj K. Agarwal, & Jun Yang. (2012). Processing and Notifying Range Top-k Subscriptions. 16. 810–821. 3 indexed citations

8.

Yu, Albert, Pankaj K. Agarwal, & Jun Yang. (2011). Subscriber assignment for wide-area content-based publish/subscribe. 52. 267–278. 3 indexed citations

9.

Chandramouli, Badrish, Jun Yang, Pankaj K. Agarwal, Albert Yu, & Ying Zheng. (2008). ProSem. 1315–1318. 7 indexed citations

10.

Yu, Albert & Kuo-Yi Lin. (2002). Scheduling parallelizable imprecise computations on multiprocessors. 531–536. 3 indexed citations

11.

Yu, Albert, et al.. (1992). A scheduling algorithm for replicated real-time tasks. 395–402. 5 indexed citations

12.

Liu, J.W.S., Kuo-Yi Lin, Wen-Chieh Shih, et al.. (1991). Algorithms for scheduling imprecise computations. Computer. 24(5). 58–68. 366 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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