Bairen Yi

593 total citations
6 papers, 397 citations indexed

About

Bairen Yi is a scholar working on Computer Networks and Communications, Information Systems and Neurology. According to data from OpenAlex, Bairen Yi has authored 6 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Networks and Communications, 2 papers in Information Systems and 2 papers in Neurology. Recurrent topics in Bairen Yi's work include Cloud Computing and Resource Management (2 papers), Brain Tumor Detection and Classification (2 papers) and Software-Defined Networks and 5G (1 paper). Bairen Yi is often cited by papers focused on Cloud Computing and Resource Management (2 papers), Brain Tumor Detection and Classification (2 papers) and Software-Defined Networks and 5G (1 paper). Bairen Yi collaborates with scholars based in Hong Kong, United States and Australia. Bairen Yi's co-authors include Yibo Zhu, Chuanxiong Guo, Chang Lan, Yanghua Peng, Yixin Bao, Chuan Wu, Yangrui Chen, Li Chen, Kai Chen and Hong Zhang and has published in prestigious journals such as Operating Systems Design and Implementation, Rare & Special e-Zone (The Hong Kong University of Science and Technology) and IEEE INFOCOM 2022 - IEEE Conference on Computer Communications.

In The Last Decade

Bairen Yi

6 papers receiving 383 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bairen Yi Hong Kong	6	228	179	159	122	68	6	397
Guoyang Chen United States	10	279 1.2×	107 0.6×	71 0.4×	85 0.7×	324 4.8×	22	432
Xinxin Mei Hong Kong	6	215 0.9×	91 0.5×	132 0.8×	107 0.9×	237 3.5×	8	413
Mohammad Alian United States	12	238 1.0×	83 0.5×	76 0.5×	84 0.7×	175 2.6×	29	373
Pengcheng Yao China	11	86 0.4×	57 0.3×	110 0.7×	165 1.4×	97 1.4×	25	273
Maurício Breternitz United States	10	180 0.8×	63 0.4×	88 0.6×	58 0.5×	175 2.6×	53	330
Lingxiao Ma China	11	68 0.3×	50 0.3×	245 1.5×	219 1.8×	73 1.1×	16	349
Sangman Kim United States	9	227 1.0×	244 1.4×	371 2.3×	20 0.2×	149 2.2×	21	516
Ehsan Totoni United States	10	207 0.9×	95 0.5×	36 0.2×	31 0.3×	220 3.2×	21	295
Po-An Tsai United States	12	238 1.0×	87 0.5×	90 0.6×	65 0.5×	280 4.1×	23	382
Sangeetha Abdu Jyothi United States	8	215 0.9×	161 0.9×	54 0.3×	27 0.2×	25 0.4×	29	286

Countries citing papers authored by Bairen Yi

Since Specialization

Citations

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

Fields of papers citing papers by Bairen Yi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bairen Yi

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

6 of 6 papers shown

1.

Chen, Li, et al.. (2022). Cutting Tail Latency in Commodity Datacenters with Cloudburst. IEEE INFOCOM 2022 - IEEE Conference on Computer Communications. 600–609. 7 indexed citations

2.

Jiang, Yimin, Yibo Zhu, Chang Lan, et al.. (2020). A Unified Architecture for Accelerating Distributed {DNN} Training in Heterogeneous GPU/CPU Clusters. Operating Systems Design and Implementation. 463–479. 48 indexed citations

3.

Peng, Yanghua, Yibo Zhu, Yangrui Chen, et al.. (2019). A generic communication scheduler for distributed DNN training acceleration. 16–29. 208 indexed citations

4.

Chen, Li, et al.. (2018). PowerMan: An Out-of-Band Management Network for Datacenters Using Power Line Communication. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 561–578. 6 indexed citations

5.

Price, Danny C., Pieter T. Eendebak, Michael McKerns, et al.. (2018). Hickle: A HDF5-based python pickle replacement. The Journal of Open Source Software. 3(32). 1115–1115. 8 indexed citations

6.

Zhang, Hong, Li Chen, Bairen Yi, et al.. (2016). CODA. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 160–173. 120 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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